The intelligence layer powering every pable.ai agent. It ingests live operational data across your systems to build a real-time understanding of the business - so agents share one context instead of working blind.
The engine ingests live operational data across search visibility, customer conversations, CRM, ERP, HRIS, analytics, and operations systems. Agents use this shared context to detect opportunities, make decisions, recommend actions, and write outcomes back into the systems where work happens.
This is what makes pable.ai more than automation. Each agent improves the operating context for the next one.
Track and lift how a brand surfaces across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews - citation share-of-voice, regression alerts, source-gap analysis, entity validation, and technical GEO scoring.
Ingests call detail records and recordings, joins and structures them, and writes call-engagement intelligence straight back into the CRM - no manual logging.
AI lead scoring against your ICP - score, tier, reasoning, and next action written back to the CRM - plus account governance audits and performance monitoring with drop alerts.
Wires into the operations platform to track stock performance, movement, and carrying cost in real time - then surfaces prioritised recommendations on when to hold, act, or cut before margin erodes.
Reads HRIS, rostering, and attendance data to model staffing health live - flagging understaffing, coverage gaps, burnout, and cost anomalies, then pushing prioritised alerts into Slack.
We have shipped multiple production agents across industries. We scope, architect, and deploy systems built for your data, your operations, and your margins - every one proprietary, none off the shelf. Agents that operate inside your business, not beside it.