Every team. Every system. Connected.

Deep intelligence, operational dashboards, and AI agents for every department — all running on your connected business data.

Sales & Marketing

CRM, marketing platform, billing, and engagement data all live in different systems. Able connects them so sales and marketing teams can see what is working, act on pipeline intelligence, and stop toggling between tools to prove ROI.

Sales & Revenue

Reps spend hours updating CRM records, chasing stale leads, and building proposals manually. Able handles the admin and gives sales teams the pipeline intelligence they actually need to close.

Deep Intelligence

Pipeline health, deal velocity, engagement signals, renewal risk. The data is scattered across CRM, email, billing, and support. Able lets you ask one question and get the whole picture.

A
AbleClawConnected to 3 systems
Which deals over $100K have had no activity in 14+ days and are forecasted to close this quarter?
A
AbleClawAI

I found 7 deals in the pipeline matching your criteria. These are forecasted to close this quarter but have gone stale:

At-Risk Deals

7

No emails, calls, or meetings logged in 14+ days

Total Pipeline Value

$1.2M

Combined weighted value across all 7 deals

Longest Stale

23 days

NovaBuild Inc. — last activity was a voicemail

Highest Value Deal

$340K

Apex Industries — stuck in negotiation stage

These 7 deals represent 31% of the remaining Q3 forecast. If even half slip, the quarter misses target by $600K. Apex Industries has an open support escalation that may be blocking the decision.

Would you like me to:

Draft re-engagement emails for the 7 stale dealsUpdate the Q3 forecast to reflect the $1.2M pipeline risk
Ask AbleClaw anything about your business...
  • Which deals over $100K have had no activity in 14+ days and are forecasted to close this quarter?
  • What's our average stage-to-stage velocity for enterprise deals, and where are deals getting stuck?
  • Show me all customers whose support ticket volume has doubled this quarter. Are any of them up for renewal?

Operational Views

Pipeline dashboards, lead scoring boards, activity tracking, and revenue forecasts. CRM, billing, and engagement data in one view instead of three browser tabs.

  • Pipeline dashboard with stage distribution, weighted forecast, and deal age heat map by rep and segment.
  • Daily lead priority board ranked by fit score, engagement signals, and likelihood to convert.
  • Win/loss analysis view showing competitive presence, deal cycle length, and discount patterns.

Agentic Operations

Agents update CRM records from calls and emails, score and route inbound leads, and draft re-engagement messages when deals go cold. Reps spend time selling.

  • Update CRM records from rep calls and emails with stage changes, contact updates, and next steps automatically.
  • Flag untouched deals approaching close date and draft context-aware re-engagement messages for rep review.
  • Generate tailored proposals with relevant case studies and ROI framing based on the opportunity profile.

Marketing

Campaign performance lives in the marketing platform. Lead data lives in the CRM. Revenue attribution lives in finance. Marketing teams spend more time proving ROI than improving it. Able connects it all so marketing can see what's actually working.

Deep Intelligence

Which campaigns are actually driving revenue? Which channels have the best CAC-to-LTV ratio? The data is in your marketing platform, CRM, and billing system. Able lets you ask across all of them.

A
AbleClawConnected to 4 systems
Which campaigns drove the most pipeline this quarter, and what was the cost per qualified lead for each?
A
AbleClawAI

I pulled campaign data from HubSpot, pipeline from Salesforce, and spend from the finance system. Here's Q1 pipeline attribution:

Total Pipeline Generated

$4.8M

Across 12 active campaigns

Best Performing

Industry Webinar Series

$1.4M pipeline at $127 cost per qualified lead

Highest Volume

Paid Search — Brand

312 leads, but only $680K pipeline ($218 CPL)

Best ROI

Customer Referral Program

$890K pipeline at $34 CPL — 6.4x return

The referral program is generating 6x better ROI than paid channels but only receives 8% of the marketing budget. Shifting 15% of paid search budget to referral incentives could add $400K in pipeline.

Would you like me to:

Draft a budget reallocation proposal shifting 15% from paid search to referralsGenerate the Q1 marketing performance briefing for the leadership team
Ask AbleClaw anything about your business...
  • Which campaigns drove the most pipeline this quarter, and what was the cost per qualified lead for each?
  • Show me content performance by funnel stage — what's converting at the top vs. what's closing deals?
  • What's our blended CAC by channel for the last 6 months, and how does it compare to customer LTV by segment?

Operational Views

Campaign dashboards, attribution models, funnel performance, and budget allocation views. All connected to your marketing platform, CRM, and financial data.

  • Campaign performance dashboard showing spend, pipeline generated, and revenue attributed by channel and campaign.
  • Funnel conversion tracker from lead to opportunity to closed-won with stage-by-stage drop-off analysis.
  • Budget allocation view showing planned vs. actual spend by channel with ROI comparison.

Agentic Operations

Agents monitor campaign performance thresholds, reallocate budget recommendations when channels underperform, and generate weekly marketing performance briefings for leadership.

  • Alert when a campaign's cost-per-lead exceeds threshold and recommend budget reallocation.
  • Generate weekly marketing performance briefing with pipeline contribution and channel ROI.
  • Flag leads that match ideal customer profile but haven't been contacted by sales within 48 hours.

Finance

GL, sub-ledgers, billing, AP, and budgets are in different systems. Able connects them so finance teams can close faster, forecast off actual numbers, and catch variances before they become audit findings.

Able collect
ablecollect

Accounts Receivable

AR has its own purpose-built solution. Able Collect handles collections, disputes, prioritization, and AI-powered workflows for construction, equipment rental, freight, and staffing teams.

Finance & Accounting

Month-end close still runs on checklists, emails, and someone chasing down the same people every cycle. Able orchestrates the close, runs reconciliations, and shows you where the variances are coming from.

Deep Intelligence

Instead of building a report to figure out why COGS is off, just ask. Able pulls from your GL, sub-ledgers, and operational systems and gives you the answer with the supporting detail.

A
AbleClawConnected to 3 systems
What's driving the $180K unfavorable variance in COGS this month versus forecast?
A
AbleClawAI

I broke down the $180K COGS variance by category using GL detail and purchase order data. Here are the primary drivers:

Raw Materials

+$95K

Steel and resin pricing up 12% vs. forecast assumptions

Direct Labor

+$52K

Overtime hours on Line 3 rework — 340 hrs unplanned

Freight & Inbound

+$33K

Expedited shipments from 2 suppliers with late deliveries

Total Variance

$180K

100% unfavorable — no offsetting categories

Supplier price increases account for 53% of the total variance. Two vendors — Atlas Steel and Resinco — both renegotiated pricing mid-quarter. The labor component traces back to quality rework on Line 3, which may be related.

Would you like me to:

Draft the variance narrative for the management review packageFlag the 3 supplier contracts for renegotiation review
Ask AbleClaw anything about your business...
  • What's driving the $180K unfavorable variance in COGS this month versus forecast?
  • Which close tasks are blocking the consolidated P&L, and who owns them?
  • Show me all journal entries over $25K posted in the last 48 hours that weren't part of a recurring template.

Operational Views

Close task boards, variance analysis, rolling cash forecasts, and approval queues. All of it pulls from your GL and sub-ledger data, so the numbers stay current without manual exports.

  • Month-end close tracker with task status, blockers, dependencies, and escalation timers across all entities.
  • Rolling 13-week cash forecast aggregating AR, AP, payroll, and open PO commitments automatically.
  • Budget-to-actual dashboard with drill-through to GL account drivers and trend-line comparisons.

Agentic Operations

Agents calculate recurring accruals each period, pull invoice details from email, suggest GL coding, and route approvals using your delegation rules. They also flag anomalies before they turn into audit findings.

  • Calculate recurring accruals each period and flag amounts that deviate materially from prior periods.
  • Extract invoice details from email and attachments, suggest GL coding, and route for approval using delegation rules.
  • Draft plain-English variance narratives with supporting GL drivers for management review packages.

Operations & Supply Chain

Production schedules, inventory, vendor performance, and logistics data all live in different systems. Able ties them together so operations teams can see problems forming and act before they hit the floor.

Operations

Schedules, inventory, quality data, and equipment events are in different systems. Able puts them in one place and lets AI agents handle the handoffs, alerts, and follow-through.

72-hour advance warning

Supply risks flagged before line stoppages. Downtime events auto-opened with cause codes and work order triggers.

Deep Intelligence

Your MES knows what's running. Your ERP knows what's ordered. Your CMMS knows what's broken. Able lets you ask across all of them so you can spot problems before they cascade.

A
AbleClawConnected to 5 systems
Which production lines had the highest unplanned downtime this week, and what were the top cause codes?
A
AbleClawAI

I pulled downtime records from MES and CMMS for the current week. Here is the breakdown by line:

Line 3

14.2 hrs

3 separate events — longest was 6.8 hrs on Tuesday

Line 1

8.7 hrs

2 events — both electrical fault codes

Line 5

6.1 hrs

1 event — material feed jam, cleared by 2nd shift

Top Cause Code

Bearing failure

Accounts for 58% of Line 3 downtime this week

Line 3's bearing failures follow a pattern: the last 3 occurrences are on the same conveyor section. The PM schedule shows that section was due for inspection 11 days ago but the work order is still open.

Would you like me to:

Open a preventive maintenance work order for the Line 3 bearing assemblyNotify the maintenance supervisor about the recurring failure pattern
Ask AbleClaw anything about your business...
  • Which production lines had the highest unplanned downtime this week, and what were the top cause codes?
  • What's our OEE trend by cell for the last 90 days, and which shifts are underperforming?
  • Are there any supplier delivery risks likely to create line stoppages in the next 72 hours?

Operational Views

Production boards, OEE scorecards, downtime trackers, and shift performance views. They pull from your MES, ERP, and CMMS directly instead of someone keying numbers into a spreadsheet.

  • Production board showing order progress, line status, yield, and next-up queue by cell.
  • Downtime Pareto dashboard by line, cause code, and shift with trend comparison to prior periods.
  • KPI threshold monitor that shows which line, shift, or cell is driving the deviation.

Agentic Operations

Agents reconcile orders against capacity, write shift handoff briefings, open downtime events with cause codes, and trigger work orders when failure patterns repeat. This runs around the clock.

  • Generate shift handoff briefings with output, delays, incidents, escalations, and next-shift priorities.
  • Open downtime events, capture cause codes, and trigger preventive work orders when failure patterns repeat.
  • Reconcile orders, materials, capacity, and labor to recommend an optimized production sequence each day.

Procurement & Supply Chain

Vendor scorecards get built quarterly if someone has time. Contract renewals slip. Maverick spend goes unnoticed. Able monitors all of it continuously so procurement can act on problems, not discover them after the fact.

Deep Intelligence

Vendor performance, contract exposure, spend patterns, and pricing compliance. The data sits across procurement, AP, and inventory systems. Able lets you query all of it in one place.

A
AbleClawConnected to 4 systems
Which vendors have on-time delivery rates below 85% this quarter, and what's the impact on production schedules?
A
AbleClawAI

I checked delivery performance across all active vendors this quarter against your 85% threshold. Here are the results:

Vendors Below Threshold

4

Out of 67 active vendors with deliveries this quarter

Worst Performer

71%

Pacific Components — 22 of 76 deliveries late

Annual Spend at Risk

$2.3M

Combined spend across the 4 underperforming vendors

Production Delays Linked

3

Line stoppages traced to late vendor deliveries

Pacific Components and Tangent Supply both supply the same critical bracket assembly. If either one slips further, there is no backup source qualified. Consider dual-sourcing qualification before next quarter.

Would you like me to:

Start contract review workflows for the 2 critical-component suppliersGenerate a vendor consolidation proposal for the overlapping suppliers
Ask AbleClaw anything about your business...
  • Which vendors have on-time delivery rates below 85% this quarter, and what's the impact on production schedules?
  • Show me all contracts expiring in the next 90 days where we're spending more than $100K annually.
  • Where are we buying outside approved vendors or above contracted pricing?

Operational Views

Vendor scorecards, contract lifecycle views, spend analysis, and PO status boards. Procurement data from every source system consolidated into views your team can actually act on.

  • Vendor scorecard with on-time delivery, rejection rates, pricing compliance, and responsiveness.
  • Contract renewal timeline showing expiration dates, spend volume, and assigned review owners.
  • PO lifecycle tracker from creation to invoicing with alerts on missing acknowledgments and late deliveries.

Agentic Operations

Agents kick off contract review workflows 90 days before expiration, flag maverick spend weekly, and catch invoice-to-PO pricing variances before payment goes out.

  • Start contract review workflows 90 days before expiration with spend history and performance summary attached.
  • Flag invoice price variances against PO or contract terms and route for buyer review before payment.
  • Detect purchases outside approved vendors or approval limits and report maverick spend patterns weekly.

Logistics & Warehouse

Receiving, picking, inventory, shipping, and returns each have their own workflows and their own data. Able keeps them in sync and puts AI agents on the exceptions.

Deep Intelligence

Inventory accuracy, receiving discrepancies, shipment status, warehouse throughput. The data is spread across WMS, ERP, and carrier systems. Able brings it together for a single question.

A
AbleClawConnected to 3 systems
Which SKUs have cycle count variance above 5% in the last 30 days, and is it concentrated in specific locations?
A
AbleClawAI

I compared cycle count results against WMS on-hand records for the last 30 days. Here is the variance summary:

SKUs Above 5%

23

Out of 1,240 SKUs counted in the period

Concentration

Zone B

15 of the 23 high-variance SKUs are in Zone B racks

Est. Value Discrepancy

$89K

Based on standard cost of affected inventory

Last Full Count

47 days ago

Zone B has not had a full wall-to-wall since then

Zone B's variance spike started 3 weeks ago, which correlates with a handler staffing change on March 8. The previous handler had a 1.2% average variance rate; the current handler is at 6.8%.

Would you like me to:

Schedule a targeted cycle count for Zone B this weekFlag the 3 high-variance SKUs for inventory adjustment review
Ask AbleClaw anything about your business...
  • Which SKUs have cycle count variance above 5% in the last 30 days, and is it concentrated in specific locations?
  • What's our average receiving-to-putaway time this month, and how does it compare to last quarter?
  • Show me all shipments due this week where the carrier tracking shows a delay risk.

Operational Views

Inventory variance dashboards, receiving exception boards, pick productivity trackers, and shipment status views. All connected to your WMS and carrier systems.

  • Inventory variance dashboard by location, product category, and handler with recount priority ranking.
  • Daily pick productivity tracker showing throughput, travel time, and error rates by zone and picker.
  • Shipment consolidation view grouped by destination and shipping date for cost optimization.

Agentic Operations

Agents flag receiving mismatches on arrival, build optimized pick paths, apply allocation rules when inventory is constrained, and send customers updated ETAs without anyone having to remember.

  • Flag receiving mismatches on arrival with PO and shipment context attached, and trigger buyer follow-up.
  • Build optimized daily pick paths to reduce travel time and improve warehouse throughput.
  • Apply allocation rules for constrained inventory and send affected customers updated ETAs.

Technology

ITSM, monitoring, project management, CI/CD, and incident tools each hold part of the picture. Able connects them so technology teams can resolve faster, ship with confidence, and spot patterns before they become outages.

IT & Service Management

Half the IT ticket queue is password resets and access requests. Able auto-resolves those, routes the rest by workload and expertise, and spots the recurring patterns that point to bigger infrastructure issues.

Deep Intelligence

Ticket patterns, SLA trends, asset lifecycle, infrastructure health. Your ITSM, CMDB, and monitoring tools each have a piece of it. Able lets you ask across all of them.

A
AbleClawConnected to 4 systems
What are the top recurring incident types this quarter, and do any of them cluster around a specific infrastructure component?
A
AbleClawAI

I analyzed ITSM incident records for this quarter and identified three clusters that trace to a shared infrastructure component:

Authentication Failures

47 incidents

Users locked out or unable to sign in across apps

VPN Connectivity

31 incidents

Timeouts and dropped sessions — mostly remote staff

Email Sync Issues

28 incidents

Outlook and mobile clients failing to sync

Common Root

Identity provider

All three cluster around Okta token services — 65% occur between 8-9 AM

The morning spike pattern and shared dependency on Okta suggest the SSO token refresh process is failing under load at login peak. A config change to token cache TTL on March 2 correlates with the uptick.

Would you like me to:

Open a problem ticket for the SSO token refresh issueDraft a maintenance window notification for the identity provider fix
Ask AbleClaw anything about your business...
  • What are the top recurring incident types this quarter, and do any of them cluster around a specific infrastructure component?
  • Which SLAs are we most at risk of breaching this week based on current queue depth and resolution velocity?
  • Show me all assets approaching end-of-life or end-of-support in the next 6 months.

Operational Views

Ticket routing dashboards by issue type and technician workload. Asset lifecycle views with warranty and license expiration dates. Incident pattern boards that cluster recurring issues by root cause.

  • Ticket routing dashboard showing assignment by issue type, affected system, urgency, and technician workload.
  • Asset lifecycle view tracking warranties, licenses, and end-of-life dates with renewal action queues.
  • Incident pattern dashboard clustering recurring issues by root cause, affected system, and time pattern.

Agentic Operations

Agents handle Tier-0 tickets (password resets, access provisioning), predict SLA breaches before they happen, and flag root-cause clusters so infrastructure teams can fix the source instead of the symptoms.

  • Resolve repeatable Tier-0 issues like password resets and standard access provisioning requests.
  • Predict likely SLA breaches and trigger escalation or reassignment before deadlines pass.
  • Detect recurring incident patterns and flag likely root-cause clusters for infrastructure review.

Engineering & Product

Sprint velocity lives in Jira. Incidents live in PagerDuty. Deployment data lives in CI/CD. Customer feedback lives in the product tool. Engineering leaders stitch it together manually to understand team health. Able does it for them.

Deep Intelligence

Sprint health, deployment frequency, incident correlation, technical debt trends, and team capacity. The data is in your project management, CI/CD, monitoring, and support systems. Able queries all of them.

A
AbleClawConnected to 4 systems
What's our deployment frequency trend this quarter, and how does incident rate correlate with release velocity?
A
AbleClawAI

I pulled deployment data from GitHub Actions, incidents from PagerDuty, and sprint data from Jira. Here's the Q1 engineering health picture:

Deployment Frequency

4.2/day

Up from 3.1/day last quarter — 35% improvement

Incident Rate

0.8 per 100 deploys

Down from 1.4 — quality improving with velocity

Mean Time to Recovery

23 min

Down from 41 min — rollback automation working

Correlation Flag

3 incidents

Traced to deployments by Team Bravo in the same 24-hour window

Team Bravo's last 3 incidents all correlate with deployments that skipped the staging environment. Their fast-track deployment path bypasses integration tests, which may explain the pattern.

Would you like me to:

Flag Team Bravo's deployment path for review and recommend staging gate enforcementGenerate the Q1 engineering health report for the leadership team
Ask AbleClaw anything about your business...
  • What's our deployment frequency trend this quarter, and how does incident rate correlate with release velocity?
  • Which teams have the highest ratio of bug fixes to new feature work over the last 3 sprints?
  • Show me all incidents in the last 30 days that trace back to code deployed in the same week.

Operational Views

Sprint boards with velocity trends, deployment dashboards with rollback rates, incident-to-deployment correlation views, and technical debt trackers. All connected to your engineering tools.

  • Sprint health dashboard showing velocity, scope changes, and carry-over by team and sprint.
  • Deployment pipeline tracker with build times, failure rates, rollback frequency, and mean time to recovery.
  • Technical debt board tracking age, severity, and estimated effort of outstanding items by component.

Agentic Operations

Agents correlate incidents with recent deployments, flag sprints at risk of scope creep, and generate weekly engineering health reports for leadership.

  • Correlate new incidents with deployments in the same 48-hour window and flag likely causes.
  • Alert when a sprint's scope increases more than 20% after planning and notify the engineering manager.
  • Generate weekly engineering health report with velocity, quality, and incident trends by team.

Customer Experience

Ticketing, CRM, product usage, billing, and NPS data are in different systems. Support and success teams toggle between them to get context on a single customer. Able pulls it all together so every interaction starts with the full picture.

Customer Service & Support

Most support tickets are the same 20 questions with the same 20 answers. Able handles those automatically, assembles full customer context for the hard ones, and flags high-risk conversations before they escalate.

Tickets resolved before your team wakes up

Common inquiries handled with full account context. Complex issues pre-triaged with customer history already assembled.

Deep Intelligence

Customer health, ticket trends, SLA performance, and churn risk. The data lives in your ticketing system, CRM, billing platform, and product usage logs. Able queries all of them.

A
AbleClawConnected to 4 systems
Which customers have submitted 3+ tickets this month and also have a renewal coming up in the next 60 days?
A
AbleClawAI

I cross-referenced ticketing data with CRM renewal dates. Here are the customers that match both criteria:

Customers Matched

12

3+ tickets this month with renewal in next 60 days

ARR at Risk

$1.8M

Combined annual recurring revenue across all 12

Avg Ticket Resolution

4.2 days

For these accounts — company avg is 1.8 days

Negative Sentiment Trend

3 accounts

Ticket tone has declined over the last 3 interactions

Greenfield Logistics ($420K ARR) has filed 7 tickets this month, including 2 escalations. Their renewal is in 34 days and the account owner has not logged a check-in since February.

Would you like me to:

Draft retention outreach for the 3 accounts with negative sentiment trendsEscalate the top ARR account to the customer success manager
Ask AbleClaw anything about your business...
  • Which customers have submitted 3+ tickets this month and also have a renewal coming up in the next 60 days?
  • What are the top 5 ticket categories by volume this quarter, and how has resolution time changed?
  • Show me all escalated tickets where the customer's account is in the top 10% by ARR.

Operational Views

Ticket queues prioritized by SLA urgency and customer value, not just arrival order. Customer health views that combine ticket volume, sentiment, usage, and billing into one card. SLA trackers with breach prediction.

  • Agent queue prioritized by SLA urgency, severity, wait time, and customer tier instead of simple FIFO.
  • Customer health scorecard combining ticket volume, sentiment trend, product usage, and billing status.
  • SLA performance tracker with breach prediction and automated escalation triggers.

Agentic Operations

Agents respond to common inquiries with full account context, escalate conversations based on tone and churn-risk signals, and assemble handoff packages when a ticket needs to move up.

  • Respond to common inquiries using account history, order status, and knowledge base content.
  • Escalate frustrated customer conversations early based on tone analysis and churn-risk scoring.
  • Prepare escalation handoff packages with full history, actions taken, and recommended next steps.

Customer Success

Renewal dates live in the CRM. Usage data lives in the product. Support tickets live in the help desk. NPS scores live somewhere else. Customer success managers piece it together manually for every account review. Able assembles the full picture.

Deep Intelligence

Customer health, expansion signals, churn risk, onboarding progress, and engagement trends. The data is in your CRM, product analytics, support system, and billing platform. Able queries all of them.

A
AbleClawConnected to 4 systems
Which accounts have declining product usage and a renewal coming up in the next 90 days?
A
AbleClawAI

I checked product analytics for usage trends and CRM for upcoming renewals. Here are the accounts that need attention:

At-Risk Renewals

6 accounts

Declining usage with renewal in next 90 days

Combined ARR at Risk

$2.1M

Largest is Pinnacle Corp at $540K

Avg Usage Decline

34%

Measured over the last 60 days vs. prior 60

Support Correlation

4 of 6

Have open or recently closed escalation tickets

Pinnacle Corp's usage drop coincides with their primary champion leaving the company 45 days ago. The new contact hasn't logged in. This is likely a stakeholder change risk, not a product issue.

Would you like me to:

Draft re-engagement outreach for the 6 at-risk accounts with personalized health summariesSchedule an executive sponsor call for Pinnacle Corp this week
Ask AbleClaw anything about your business...
  • Which accounts have declining product usage and a renewal coming up in the next 90 days?
  • Show me all customers who completed onboarding more than 30 days ago but haven't adopted the top 3 features.
  • What's our net revenue retention by segment, and which segments are contracting fastest?

Operational Views

Customer health scorecards, renewal pipeline views, onboarding progress trackers, and expansion opportunity boards. All connected to your CRM, product, and billing systems.

  • Customer health dashboard combining usage trends, support volume, NPS scores, and billing status by account.
  • Renewal pipeline view showing upcoming renewals by date, ARR, health score, and assigned CSM.
  • Onboarding tracker showing milestone completion, time-to-value, and at-risk implementations by cohort.

Agentic Operations

Agents monitor health score changes, trigger outreach when usage drops, assemble QBR materials automatically, and flag expansion opportunities based on usage patterns.

  • Trigger CSM outreach when an account's health score drops below threshold two weeks in a row.
  • Assemble quarterly business review materials with usage stats, support history, and value delivered.
  • Flag accounts showing expansion signals — increased usage, new user additions, or feature adoption spikes.

People & Compliance

HRIS, payroll, compliance tracking, and policy documents are managed separately. That means HR and compliance teams spend their time cross-referencing systems instead of acting on what they find. Able connects all of it.

HR & Workforce

Onboarding touches IT, facilities, payroll, and benefits. Compliance certifications expire in spreadsheets nobody checks. Attrition risk hides in data nobody combines. Able runs all of it across HRIS, payroll, and IT in one flow.

Deep Intelligence

Workforce trends, attrition risk, compliance gaps, labor cost drivers. The data is in your HRIS, payroll system, time tracking tool, and engagement platform. Able lets you ask across all of them.

A
AbleClawConnected to 3 systems
Which departments have attrition rates above 15% this year, and what's the average tenure of departing employees?
A
AbleClawAI

I pulled headcount and termination data from HRIS year-to-date. Three departments exceed the 15% threshold:

Engineering

22%

18 departures out of 82 avg headcount

Customer Support

19%

11 departures out of 58 avg headcount

Sales

17%

9 departures out of 53 avg headcount

Avg Tenure at Departure

14 months

Across all 38 departures — 34 backfill reqs still open

Engineering attrition is heavily concentrated in the 6-18 month tenure band, with 13 of 18 departures in that range. Exit survey data points to onboarding experience and manager relationship as the top two factors.

Would you like me to:

Generate backfill requisitions for the 34 open positionsSchedule stay interviews for engineering team members at 12-18 month tenure
Ask AbleClaw anything about your business...
  • Which departments have attrition rates above 15% this year, and what's the average tenure of departing employees?
  • Show me all employees with overdue required certifications, grouped by department and risk level.
  • What's our projected headcount gap for Q3 based on open requisitions, historical fill rates, and forecasted attrition?

Operational Views

Onboarding progress by new hire, certification compliance by department, headcount forecasts by role, and payroll exception boards. All connected to your HRIS and payroll systems.

  • Onboarding checklist dashboard tracking provisioning, access, equipment, and enrollment completion by new hire.
  • Certification compliance tracker with overdue items, upcoming expirations, and escalation status by department.
  • Headcount forecast combining open reqs, fill rate trends, and projected attrition by role and location.

Agentic Operations

Agents run onboarding workflows across IT provisioning, badge access, equipment ordering, and benefit enrollment. They score attrition risk from multiple signals and flag payroll exceptions before processing.

  • Run onboarding steps across IT provisioning, badge access, equipment ordering, and benefit enrollment.
  • Score attrition risk from engagement survey data, manager changes, PTO patterns, tenure, and compensation signals.
  • Flag payroll exceptions including overtime spikes, missing timesheets, and unapproved rate changes before processing.

Quality & Safety

Non-conformance data sits in the QMS. Supplier quality sits in the ERP. Safety incidents sit somewhere else. Able connects them so quality teams catch trends early, manage CAPAs on schedule, and stay audit-ready.

Deep Intelligence

Non-conformance trends, CAPA status, inspection results, supplier quality. The data is in your QMS, MES, and ERP. Able lets you ask across all of them instead of running separate queries in each.

A
AbleClawConnected to 4 systems
What are the top non-conformance categories this quarter, and are they concentrated on specific product lines or suppliers?
A
AbleClawAI

I aggregated non-conformance records from the QMS for this quarter. Here is the category breakdown:

Dimensional

34%

Out-of-tolerance dimensions — 87 NCRs this quarter

Surface Finish

22%

Cosmetic and functional surface defects — 56 NCRs

Assembly

18%

Fit and fastener issues at final assembly — 46 NCRs

Supplier-Linked

41%

Of all NCRs trace to incoming material — repeat rate is 28%

Dimensional NCRs are concentrated on machined housings from Vertex Precision. They account for 61% of the dimensional category, up from 22% last quarter. Their process change in February correlates with the increase.

Would you like me to:

Open a supplier corrective action request for the dimensional NCR clusterEscalate the 4 overdue CAPAs to their respective owners
Ask AbleClaw anything about your business...
  • What are the top non-conformance categories this quarter, and are they concentrated on specific product lines or suppliers?
  • Which open CAPAs have missed their target completion date, and what stage are they stalled at?
  • Show me supplier quality trends for our top 20 vendors: rejection rates, field failures, and complaint volume.

Operational Views

Non-conformance Pareto charts, CAPA lifecycle trackers, risk-based inspection frequency boards, and supplier quality scorecards. All connected to your QMS.

  • Non-conformance Pareto dashboard trending by product, line, shift, and supplier with drill-down to individual events.
  • CAPA lifecycle tracker showing stage progress, overdue milestones, and owner accountability across all open actions.
  • Risk-based inspection frequency dashboard adjusting sample rates by product criticality and recent quality history.

Agentic Operations

Agents watch for non-conformance patterns across products, lines, and suppliers. They escalate overdue CAPA stages and notify owners. They launch incident investigations with the required notifications and deadline tracking.

  • Watch non-conformance events across products, lines, shifts, and suppliers to catch systemic issues early.
  • Escalate overdue CAPA stages and notify responsible owners before actions stall.
  • Launch incident investigations with required regulatory notifications and deadline tracking built in.

Leadership & Strategy

Revenue, operations, finance, workforce, and compliance data each live in their own world. Leadership teams shouldn't have to wait for someone to assemble it all into a slide deck. Able gives them the connected view.

Executive & Leadership

Executives ask a question and get a synthesized answer from across ERP, CRM, HRIS, support, and financial systems. No waiting for someone to pull the data. No stale slide decks.

One question. Every system.

Ask in Slack, get answers from ERP, CRM, HRIS, support, and financial systems. Synthesized, not raw.

Deep Intelligence

Questions that span departments are the hardest to answer because the data lives in different systems owned by different teams. Able lets leadership ask those questions directly.

A
AbleClawConnected to 8 systems
What are the three biggest risks to hitting our Q3 revenue target, and what's driving each one?
A
AbleClawAI

I pulled data from CRM, ERP, AR, and supply chain systems to assess Q3 revenue risk. Here are the top factors:

Pipeline Coverage

1.8x target

Below the 2.5x benchmark — 7 stale deals totaling $1.2M

Top Customer Delay

$2.1M

Westfield Group delayed expansion decision to August

Supply Chain Risk

3 product lines

Component shortages may delay fulfillment by 3-4 weeks

Collections Velocity

Slowing 8%

DSO increased from 42 to 45 days — cash impact on reinvestment

If the Westfield delay holds and the stale pipeline deals do not reactivate, combined exposure is $4.2M against a $12M target. The supply chain delays could further push $900K in recognized revenue into Q4.

Would you like me to:

Build the Q3 risk briefing document for the leadership teamSchedule a pipeline review with the sales VP for this week
Ask AbleClaw anything about your business...
  • What are the three biggest risks to hitting our Q3 revenue target, and what's driving each one?
  • How does our current attrition rate compare to last year, and which departments are contributing the most?
  • Show me a cross-functional health check: revenue pipeline, cash position, operational throughput, and open headcount.

Operational Views

Cross-functional briefing dashboards, strategic initiative trackers, and organization health scorecards. Every number pulls from your connected systems, not last week's export.

  • Daily cross-functional briefing that shows changes, emerging risks, and pending decisions across all departments.
  • Strategic initiative tracker showing progress, dependencies, budget consumption, and schedule drift by workstream.
  • Customer concentration dashboard that alerts when top accounts show revenue decline signals.

Agentic Operations

Agents build daily briefings, assemble board reporting data across departments, and track organization health indicators. No spreadsheet consolidation required.

  • Build daily cross-functional briefings that flag material changes, risks, and decisions needing leadership attention.
  • Assemble board reporting data across departments into one package without manual consolidation.
  • Track organization health: attrition, overtime trends, open requisition load, and engagement scores.

Project Management

Project status gets collected manually, assembled into a report, and is already outdated by the time anyone reads it. Able monitors schedule, budget, dependencies, and risks continuously across every project.

Deep Intelligence

Project health, resource conflicts, budget trajectory, dependency risks. The data is in your project management tool, time tracking system, and financial platform. Able queries them together.

A
AbleClawConnected to 4 systems
Which projects are trending toward budget overrun based on current burn rate versus remaining scope?
A
AbleClawAI

I compared actual spend against planned budget and remaining scope for all active projects. Four are trending toward overrun:

Projects at Risk

4

Out of 19 active projects in the portfolio

Projected Overrun

$890K

Combined forecast-to-complete exceeds approved budgets

Root Causes

Scope creep (2)

Plus 1 vendor delay and 1 understaffed project

Highest Overrun

Project Alpha

$340K over — design phase consumed 2x estimated hours

Project Alpha's design overrun is driven by 14 change requests that were approved individually but never reconciled against the original budget. The cumulative scope increase is 38% with no corresponding budget adjustment.

Would you like me to:

Reallocate 2 designers from Project Gamma to Project AlphaSend budget overrun alerts to the 4 project sponsors
Ask AbleClaw anything about your business...
  • Which projects are trending toward budget overrun based on current burn rate versus remaining scope?
  • Where do we have resource conflicts, people assigned to multiple projects with overlapping critical-path milestones?
  • Show me all projects with dependencies on the infrastructure team. Are any of those dependencies at risk of slipping?

Operational Views

Portfolio dashboards, resource allocation heat maps, budget burn trackers, and risk register views. Project management and finance data consolidated into one place.

  • Portfolio dashboard showing status, budget health, schedule variance, and risk level for every active project.
  • Resource allocation heat map showing over-assigned team members and upcoming capacity gaps by skill area.
  • Budget burn tracker with forecasted completion cost versus approved budget by project and workstream.

Agentic Operations

Agents catch resource conflicts before timelines slip, watch burn-rate trends for budget overrun signals, and escalate risk register items when trigger conditions are met.

  • Detect cross-project resource conflicts and over-allocation before they cause timeline slippage.
  • Alert on burn-rate trends that indicate likely budget overrun, with remaining scope and forecast to complete.
  • Escalate risk register items from watch to active status when trigger conditions are met.

Risk Management

Most enterprise risk registers are snapshots that get updated quarterly. Able connects financial, operational, compliance, and third-party signals so the risk picture updates continuously.

Deep Intelligence

Enterprise risk exposure, insurance coverage gaps, incident trends, third-party risk. GRC, financial, and operational systems each have their piece. Able lets you ask across all of them.

A
AbleClawConnected to 6 systems
What's our current enterprise risk exposure by category, and which risks have increased in severity this quarter?
A
AbleClawAI

I compiled the enterprise risk register with severity scores updated from operational, financial, and compliance signals this quarter:

Operational Risk

Elevated

Driven by equipment downtime trends and supply chain delays

Cyber Risk

Elevated

Infrastructure patching backlog grew 40% this quarter

Regulatory Risk

Moderate

2 new requirements identified — both have assigned owners

Severity Increases

3 risks

Moved from moderate to elevated since last quarter

Cyber risk is the fastest-moving category. The patching backlog is concentrated on 12 production servers that missed their April maintenance window. IT has a remediation plan but it requires a weekend outage that has not been scheduled.

Would you like me to:

Generate a patch prioritization report for the infrastructure teamSchedule the 2 overdue continuity exercises with business unit leads
Ask AbleClaw anything about your business...
  • What's our current enterprise risk exposure by category, and which risks have increased in severity this quarter?
  • Do we have any insurance coverage gaps based on our current risk register and recent incident history?
  • Show me all third-party vendors with elevated risk scores. What's driving the elevation for each one?

Operational Views

Enterprise risk dashboards with current scores, coverage gap analysis, incident correlation boards, and continuity plan trackers. All fed by your connected operational and financial systems.

  • Enterprise risk register with scores that update from operational, financial, and compliance signals.
  • Insurance coverage gap analysis comparing current policies against risk register exposure and recent loss history.
  • Continuity plan dashboard tracking testing cadence, overdue exercises, and plan currency by business unit.

Agentic Operations

Agents update risk scores when incidents occur in safety, quality, IT, or financial systems. They compare exposure to coverage, track continuity testing cadence, and flag fraud patterns across AP, expenses, and payroll.

  • Update enterprise risk scores when incidents occur in safety, quality, IT, or financial systems.
  • Detect fraud patterns across accounts payable, expense reports, and payroll for investigation review.
  • Track business continuity plan testing cadence and schedule overdue exercises with responsible owners.

Ready for a walkthrough?

Pick any department above, then book a call and we’ll show you how the platform works.