Handle IT work in minutes, not hours.
EvidentOps is an AI agent that connects to your IdP, MDM, ITSM, and chat tools—diagnoses issues from real signals, composes micro-workflows to act, and governs every step. Built for IT teams on Okta, Entra, Intune, and JSM—used by operators via web console and end users via Slack/Teams.
See how it worksIT work is still manual — or brittle automation.
Tool sprawl
IdP, MDM, ITSM, logs, chat — operators juggle 6+ dashboards per task, copying context between tabs.
Brittle automation
Workflow tools demand months of runbook authoring upfront — then break the moment an edge case appears.
Copilots that can't execute
AI assistants can triage and suggest, but they can't actually do the work. You still click through every step yourself.
The governed execution loop
The agent is reactive, not plan-based — its next action is determined by what it just observed. It collects context, hypothesizes, acts, and adapts. Risky actions are gated by approval.
Collect context
Pull signals from connected systems — sign-in logs, device posture, request details.
Diagnoses from real data, not guesswork.
Hypothesize
The agent shares its working hypothesis with the operator before acting. As evidence comes in, it updates its understanding.
You always know what the agent thinks and why.
Reason + act
Draws on past tasks, selects micro-workflows, and executes — exploring and adapting as it discovers more.
Adapts to each situation — no rigid scripts.
Gate risky actions
When a high-risk micro-workflow comes up, the agent pauses for operator approval. Reads and safe writes flow automatically.
Guardrails without bottlenecks.
Re-plan on failure
If something fails or changes, the agent reasons from the new state — not stuck on a static script.
Agent flexibility with workflow-grade safety.
Verify + close out
Confirm the outcome and write a structured summary with full evidence.
Every task is auditable end-to-end.
Operator-first. No code. No drag-and-drop workflows.
A library of micro-workflows, ready on day one
Pre-built, composable units of work across your systems. The agent selects and sequences them per-task — you don't author runbooks.
Identity
- Check group membership
- Add user to group with time-bound access
- Reset MFA registration
- Pull sign-in logs and CA policy evaluation
- Revoke active sessions
Endpoint
- Check device compliance status
- Surface compliance gap + remediation path
- Trigger device sync
- Pull device configuration profiles
ITSM
- Pull ticket context and history
- Post structured resolution summary
- Transition ticket state
- Link related incidents
Chat
- Collect info from requester
- Post status update to channel
- Thread follow-up with resolution details
Connect 2–3 systems and unlock dozens of capabilities. Add more as you expand.
Every task makes the next one faster
The agent stores every trajectory — context gathered, micro-workflows composed, outcomes verified. It draws on past experience to work faster and more reliably, without becoming rigid.
Flexible reasoning + composable micro-workflows
The agent handles tasks by collecting context, reasoning about the situation, and composing micro-workflows from its library. Every task is stored as a trajectory in its own job thread system.
Draws on past experience — flexibly
The agent retrieves relevant insights, diagnostic patterns, and micro-workflow sequences from past trajectories — and adapts them to the current situation. Faster and more reliable over time, without rigid replay.
What the operator sees
A purpose-built console for managing the agent's work — plus a Slack surface for end-user requests.
Operator console
- Watch the agent work — actions stream as they happen
- Approve or reject high-risk actions as they come up
- Micro-workflows selected and adapted per-task
- Own job thread system, syncs to your ITSM
Slack / Teams surface
- Natural language requests from end users
- Agent investigates and acts — users don't need to know the tools
- Status updates with full transparency
- Threaded conversation for context
Start here, expand from there
IT and access management are where most teams begin. The same agent and micro-workflow library extends to endpoint, security, and beyond.
App access + group membership
"I need Salesforce access."
Agent checks current membership, composes an add-to-group with time-bound access, gets approval, verifies access works.
SSO / login failures
"Can't log in to Notion."
Pulls sign-in errors from Entra/Okta, identifies root cause (CA block, MFA issue, expired session), proposes a targeted fix.
Endpoint compliance blocks
"Blocked by Conditional Access."
Maps device hint to Intune/Jamf record, surfaces the compliance gap, guides the user through remediation.
Offboarding
"Offboard user X."
Multi-step with full governance: disable account, revoke sessions, remove group memberships — each step approved and logged.
Bulk access review
Operator-initiated
Review group memberships against policy, flag outliers, propose removals — no ticket needed.
Scheduled compliance check
Automated trigger
Periodic scan of device compliance and identity posture. Surfaces drift and proposes remediation before users are blocked.
Works with your existing stack
Connect a few tools and start handling work on day one. Each integration unlocks a set of micro-workflows the agent can compose.
Chat
ITSM
Identity
Endpoint
Monitoring
Safe by design
Every micro-workflow is classified by risk. Writes are gated by your approval policies. Everything is logged.
| Tier | Example actions | Approval |
|---|---|---|
| READ | Pull sign-in logs, device status, group membership | None |
| SAFE-WRITE | Post ticket comment, send status update | None |
| RISK-WRITE | Add user to group, reset MFA, change policy | Required |
| CATASTROPHIC | Disable account, delete resource, revoke all sessions | Multi-step |
Approval gating
Per-tenant policies, role-based routing, step-level approval — not whole-job.
Audit trail
Who requested, who approved, what changed — with timestamps and full provenance.
Clear boundaries
Least-privilege scopes per integration. Disable entire action classes per tenant.
Frequently asked questions
No. Work can start from a ticket, a Slack message, or an operator-initiated task. The agent handles any IT operation — ticket or not.
No. The agent composes from a pre-built library of micro-workflows. Connect your tools and start handling work — no scripting or workflow authoring required.
Workflow tools require you to predefine every path and break on edge cases. EvidentOps uses an AI agent that reasons about each situation, draws on past tasks, and flexibly composes micro-workflows. It handles novel scenarios without rigid scripts — and gets faster and more reliable with every task.
No. EvidentOps has its own job thread system that stores agent trajectories — but it syncs bidirectionally with your ITSM. You don't need Jira to use EvidentOps, but if you have it, tickets and outcomes stay in sync.
The agent pauses, surfaces what it knows, and asks an operator to decide. It never guesses on writes. Uncertainty is treated as a reason to pause, not to improvise.
EvidentOps uses least-privilege scopes for each integration, tenant-isolated credentials, and role-based access for approvals. Every action is classified by risk tier and logged with full provenance.
We currently support Okta, Entra ID, Intune, Jira Service Management, Slack, and Microsoft Teams. Jamf, ServiceNow, Datadog, and PagerDuty are on the near-term roadmap.
Most teams are up and running in under a day. You connect your integrations via OAuth/API keys, configure approval policies, and start handling work immediately.
Yes. Risk-tiered approvals, full audit trails, and separation of duties are built in — designed for environments that require change management evidence and compliance documentation.
Want to see this on your stack?
We're onboarding a small number of early teams to shape the platform together.