Agents learn your language
They learn your teams’ terms, shorthand, and ways of working, then create a shared understanding of what everything means.
Knowledge Engine for Revenue Operations
Turn fragmented revenue data into a pipeline your team can act on.
Connect CRM records, customer conversations, spreadsheets, product signals, and financial data to surface deal risk, improve forecasts, automate reporting, and recommend the next best work.
KEP
Revenue operations review
Review Q2 pipeline health by region and identify the biggest revenue risk.
I connected pipeline history, stage movement, activity, and regional targets. I’m preparing the risk brief now.
Q2 pipeline risk briefReport
58%
lower token cost
when using Knowledge Engine
2x
more tasks
vs. frontier models
32%
more accurate with open source
vs frontier model
19 of 34
tacit-knowledge facts captured
vs. RAG’s 1
Source: “Knowledge Engine Platform for Long-Horizon Professional Agents” and “Context Graphs for Recovering Tacit Organizational Knowledge”, Accrete AI, August 2026.
The forecast is only as current as the work behind it.
Pipeline decisions depend on data spread across CRM records, calls, email, spreadsheets, product usage, and finance. RevOps teams spend the week reconciling those sources, then rebuild the same analysis for the next meeting.
Revenue Operations cognitive fabric
Connect the context behind the work.
Agents learn the language of the work, create the data flows that connect its systems, and build a living context graph for each request.
Agents connect your systems
They create the data flows that bring the right information together for each task, without manual setup for every source.
Agents build the context graph
They connect people, records, decisions, and outcomes while preserving a clear path back to the source.
Connected systems
Explore 1,000+ integrations →- Salesforce
- Gong
- ZoomInfo
- HubSpot
- Outreach
- Google Workspace
Workflows
Change the work, not just the interface.
01
Maintain a live forecast
Ingest and normalize revenue data, calculate coverage and movement, and refresh a dashboard with filters for team, segment, stage, owner, and period.
02
Surface deal and account risk
Combine opportunity changes, customer conversations, engagement, product signals, next steps, and historical patterns into an evidence-backed account brief.
03
Automate operating reviews
Generate weekly pipeline, leadership, and board-ready reporting from reusable analysis instead of rebuilding tables and slides by hand.
One end-to-end example
From scattered pipeline data to a weekly operating decision.
01
Connect
Gather opportunities, activity, call notes, spreadsheets, product signals, finance data, targets, and prior forecasts.
02
Analyze
Clean and join the data, calculate pipeline movement and coverage, and surface risk, missing follow-up, and forecast changes.
03
Deliver
Refresh the live dashboard, create account briefs, and generate the leadership report with the evidence behind each conclusion.
04
Control
Keep source-system permissions intact and require approval before writing a task, note, field update, or other change back to a connected system.
What the team gets
Outcomes people can inspect and use.
Forecast and coverage dashboard
Current pipeline, movement, conversion, risk, and coverage with interactive filters and drilldowns.
Account and deal briefs
The context, evidence, open work, and recommended next steps behind important opportunities.
Leadership reporting package
Reusable weekly, executive, or board-ready reporting generated from the same prepared data.
Context that compounds
Context grows through the work itself.
Teams should not have to pause the work to document every lesson. The decisions they review, correct, approve, and reuse can make the next workflow better informed.
01
Operating reviews leave signals
Forecast changes, deal reviews, accepted risks, owner updates, and leadership decisions reveal what moved the number.
02
The Knowledge Engine connects the trace
Relate those decisions to opportunities, conversations, activity, product signals, targets, and financial records.
03
The forecast gets smarter
Later reviews start with prior judgment and the evidence behind earlier calls instead of another manual reconciliation.
Source records remain the authority. The Knowledge Engine keeps extracted evidence and inferred relationships distinguishable so people can inspect what the organization recorded and what the system derived.
The Accrete product
Context, work, and control in one path.
The Knowledge Engine combines integrations, reusable ETL pipelines, analytical helpers, specialized agents, and live dashboards so RevOps can move from data reconciliation to operating decisions.
Agent Lab and Custom Skills
Turn a good workflow into shared capability.
Build a specialized operating-review agent
Refresh the data, analyze movement, and produce the dashboard and briefs for the team’s recurring review.
Save a reporting skill
Preserve the metric logic, filters, evidence requirements, and output format for the next reporting cycle.
Start with one workflow
Define the outcome before expanding the system.
Bring the workflow, its information sources, its approval requirements, and the result your team needs. We’ll map a focused first deployment and the path to reuse.
Discuss this workflow