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
Resolve incidents with the full operational context.
Connect service history, system signals, documentation, and team knowledge so IT can triage issues, identify likely causes, coordinate response, and keep stakeholders informed.
KEP
Incident response workspace
Investigate the checkout API errors after today’s deployment and prepare a response plan.
I connected the alert, service dependencies, recent changes, telemetry, tickets, and runbooks. I’m preparing the incident brief now.
Checkout API incident 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.
Incidents begin before the alert.
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
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 →- ServiceNow
- Jira
- Datadog
- Grafana
- AWS
- Azure Cloud
Workflows
Change the work, not just the interface.
01
Triage incidents with context
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
Assess change and service impact
Connect a proposed change to affected services, dependencies, owners, historical failures, and supporting documentation before the team decides how to proceed.
03
Coordinate response and reporting
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
From alert to reviewed response plan.
01
Connect
Gather the alert, service map, recent changes, ticket history, telemetry, runbooks, and relevant conversations.
02
Analyze
Compare the current symptoms with earlier incidents and changes; rank likely causes and identify missing evidence.
03
Deliver
Create an incident brief, response plan, owner list, stakeholder update, and live operational dashboard.
04
Control
Show proposed updates or remediation actions before changing a connected system, then preserve the approved decision trail.
What the team gets
Outcomes people can inspect and use.
Incident brief
Known facts, likely causes, open questions, source evidence, owners, and next actions.
Live status dashboard
Current service health, incident milestones, response ownership, and stakeholder-ready updates.
Reusable resolution knowledge
The investigation path, decision rationale, and resolution available to the next responder.
The Accrete product
Context, work, and control in one path.
The Knowledge Engine Platform coordinates cross-system work across change risk, incident investigation, and service dependencies.
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