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 IT Operations
Connect service history, system signals, documentation, and team knowledge so IT can triage issues, identify likely causes, coordinate response, and keep stakeholders informed.
Incident response workspace
I connected the alert, service dependencies, recent changes, telemetry, tickets, and runbooks. I’m preparing the incident brief now.
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 cause may be buried in a recent change, an old ticket, a service dependency, or the experience of someone who knows the environment. When that context stays scattered, responders repeat the same investigation under pressure.
IT Operations cognitive fabric
Agents learn the language of the work, create the data flows that connect its systems, and build a living context graph for each request.
They learn your teams’ terms, shorthand, and ways of working, then create a shared understanding of what everything means.
They create the data flows that bring the right information together for each task, without manual setup for every source.
They connect people, records, decisions, and outcomes while preserving a clear path back to the source.
Connected systems
Explore 1,000+ integrations →Workflows
01
Bring together monitoring signals, service and asset context, recent changes, prior incidents, runbooks, and team knowledge to establish what is known and what needs investigation.
02
Connect a proposed change to affected services, dependencies, owners, historical failures, and supporting documentation before the team decides how to proceed.
03
Produce an incident brief, assign the next work, maintain a live status dashboard, draft stakeholder updates, and preserve what resolved the issue.
One end-to-end example
01
Gather the alert, service map, recent changes, ticket history, telemetry, runbooks, and relevant conversations.
02
Compare the current symptoms with earlier incidents and changes; rank likely causes and identify missing evidence.
03
Create an incident brief, response plan, owner list, stakeholder update, and live operational dashboard.
04
Show proposed updates or remediation actions before changing a connected system, then preserve the approved decision trail.
What the team gets
Known facts, likely causes, open questions, source evidence, owners, and next actions.
Current service health, incident milestones, response ownership, and stakeholder-ready updates.
The investigation path, decision rationale, and resolution available to the next responder.
Context that compounds
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
Triage choices, investigated changes, assigned owners, approved actions, and the final resolution reveal what mattered.
02
Relate those decisions to services, dependencies, telemetry, tickets, runbooks, changes, and affected users.
03
Responders can reuse the evidence, investigation path, and judgment instead of rebuilding the same history.
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
The Knowledge Engine Platform coordinates cross-system work across change risk, incident investigation, and service dependencies.
Agent Lab and Custom Skills
Turn the proven triage and response path into an agent that gathers context, prepares the brief, and coordinates the next work.
Preserve the investigation method, decision criteria, and output format for the service or team.
Start with one workflow
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.
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