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 Sales
Know which deals need attention—and why.
Connect pipeline, conversations, relationships, activity, and approvals so sellers and managers can focus on the work that moves revenue.
KEP
Enterprise deal review
Review the deals in this quarter’s commit and show me where leadership needs to intervene.
I connected opportunity history, meetings, activity, stakeholders, open approvals, and next steps. I’m preparing the deal-risk brief now.
Commit deal-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 deal story is scattered across the stack.
A CRM stage rarely captures the full state of a deal. The useful context lives across calls, email, meetings, relationship history, product questions, security reviews, pricing decisions, and the judgment of the people closest to the account.
Sales 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
- Warmly
- Outreach
Workflows
Change the work, not just the interface.
01
Inspect deals with context
Bring together stage history, activity, stakeholders, customer conversations, open risks, approvals, and next steps so managers can test whether the pipeline story is current.
02
Prepare meetings and follow-through
Create a pre-meeting brief from account history and current priorities, then draft the recap, mutual actions, and source-system updates for review.
03
Coach and forecast from evidence
Compare deal progress with the team’s qualification and close-plan standards, surface gaps, and prepare a reviewable forecast-risk summary.
One end-to-end example
From scattered account activity to a focused deal review.
01
Connect
Gather opportunity history, calls, email, meetings, stakeholders, support context, product activity, commercial terms, and open approvals.
02
Analyze
Identify stale assumptions, missing relationships, unresolved work, engagement changes, and evidence that supports or challenges the current stage.
03
Deliver
Produce a deal brief, risk summary, meeting plan, and owner-specific follow-up with source evidence attached.
04
Control
Require seller or manager approval before sending messages or changing CRM records, tasks, stages, or forecast fields.
What the team gets
Outcomes people can inspect and use.
Deal and account brief
The current opportunity story, buying group, activity, risks, open questions, source evidence, and next actions.
Forecast-risk view
The deals and assumptions that deserve manager attention, with the reason each item was surfaced.
Follow-through package
Meeting preparation, recap, mutual actions, and proposed source-system updates ready for review.
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
Deal work leaves signals
Customer questions, stakeholder changes, accepted risks, pricing decisions, and completed next steps reveal how the opportunity is moving.
02
The Knowledge Engine connects the trace
Relate those signals to opportunities, meetings, messages, account history, approvals, and prior forecast calls.
03
The next review starts prepared
Sellers and managers can begin with the current deal story instead of reconstructing it during the forecast meeting.
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 coordinates research, analysis, artifacts, and governed follow-through across the sales stack while keeping customer-facing and CRM-changing actions under human control.
Agent Lab and Custom Skills
Turn a good workflow into shared capability.
Build a specialized deal-review agent
Prepare account context, test the current deal story, and surface the work managers and sellers should review.
Save a forecast-review skill
Preserve qualification criteria, evidence requirements, risk rules, and the team’s preferred review format.
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