More work reaches completion
Agents can move renewals, incidents, PRs, support handoffs, and governance reports across the systems where the work already lives.
AI operations control plane
Put AI agents to work. Know what happened.
EvalOps connects agents to the systems where work happens, then governs each action through context, policy, approvals, evaluation, cost, audit, and outcome attribution.
EvalOps control plane
Active agent work
Renewal risk moved to approved follow-up.
Signal
Usage fell, escalation open, renewal in 21 days
Context
CRM, billing, support, last call, account memory
Action
Draft follow-up and update pipeline risk
Approval
Human approved account email
Action record
GroundingPassed
PolicySend approval required
Estimated cost$1.42 to RevOps
OutcomeCRM activity logged
Audit exportJSON + control map
Every team gets the part of the record they need
Security
What happened, what was blocked, and why.
Engineering
Which gate, eval, or release record allowed the change.
Operations
Which workflow moved, stalled, or needs a human.
Finance
What the work cost and what value it created.
Compliance
Which controls have a clean, exportable record.
Platform
How the control plane runs in your environment.
What changes for your team
More work reaches completion with the record attached.
Risky actions pause for approval. Cost and outcome stay attributable. Security, finance, engineering, and compliance inspect the same history.
Risky actions pause for approval
Policy, eval results, budget, and risk class decide whether an action runs, waits, or escalates to a human.
Cost and outcome stay attributable
Model spend, tool use, team owner, approval effort, and completed outcome travel together.
One history for every stakeholder
Security, finance, engineering, and compliance inspect the same history instead of reconciling separate logs.
From action to evidence
Every AI action leaves a record.
Why did this agent act?
Governed action
A renewal-risk follow-up keeps the CRM account, support escalation, approver, send result, $1.42 model cost, and provenance together.
Agents get real tools without bypassing operating controls.
What was blocked?
Decision history
The record shows the alert, runtime context, rollback plan, policy decision, reviewer state, held Argo CD sync, and incident timeline export.
Incident teams get speed without silent production writes.
Was the work worth it?
Cost and outcome
The record ties failing CI, retrieved context, patch scope, review gate, release decision, $0.86 cost, and final PR status together.
Engineering sees completed work, not anonymous agent activity.
What can reviewers trust?
Review materials
The record ties control mapping, export scope, redactions, missing owners, approval receipts, and review materials to the agent workflow.
Compliance can review agent work without reconstructing it from chats, tickets, and screenshots.
Where did the money go?
Cost attribution
The record connects provider spend, team owner, workflow outcome, approval state, budget exception, and expansion decision.
Finance can govern AI spend by outcome instead of reconciling provider invoices after the fact.
EvalOps control plane
Build, optimize, and scale agent workflows.
Build
Create agent workflows from the work your team already does.
Start with a renewal review, incident response, PR remediation, support triage, or governance report. EvalOps connects the signals, systems, owners, and approval points.
Optimize
Improve the workflow from real traces and human decisions.
Every edit, blocked action, eval failure, approval, and successful outcome becomes feedback for the next run.
Scale
Widen autonomy only when the record supports it.
Promote from draft-only to approved action with cost, quality, audit, and risk history attached.
Responsibility expands from records
Wider autonomy follows observed behavior.
Draft
Agents prepare account briefs, rollback plans, PRs, and control-review drafts without writing to production systems.
Context sources, eval result, estimated cost.
Approved Action
Human approval unlocks customer sends, CRM updates, rollback syncs, or repository writes.
Reviewer, decision, changed draft, tool result.
Policy-Bound Autonomy
Repeated work expands only inside policy, budget, identity, and risk-class limits.
Policy version, budget check, outcome history.
How to compare EvalOps
Not another place to build an agent.
Most tools focus on one layer: building agents, tracing quality, inventorying AI, securing prompts, or orchestrating process. EvalOps sits where agent work asks to act, with controls, approvals, spend, audit history, and outcomes in one path.
Agent builders
Builder layer
Create agents and agent apps.
Governs the work those agents do once they need company context, tools, approvals, cost controls, and audit.
Observability and evals
Quality layer
Trace behavior, evaluate quality, and help teams improve prompts or runs.
Puts evaluation in the action path so a workflow can be allowed, blocked, escalated, measured, and recorded.
AI governance
Policy layer
Inventory AI systems, define policy, monitor risk, and report governance status.
Enforces the operational decision at the moment an agent asks to act, then keeps the record with the workflow.
Agent security
Risk layer
Detect shadow AI, prompt injection, unsafe permissions, data leakage, and runtime threats.
Connects those controls to approvals, tool execution, support bundles, rollback posture, and outcome attribution.
Automation suites
Process layer
Orchestrate repeatable business processes across apps, robots, people, and agents.
Handles judgment-heavy agent work where teams need context, policy, human review, and a durable action record.
Enterprise suites
Suite layer
Bring agents to their own CRM, ITSM, productivity, cloud, or data ecosystem.
Stays neutral across Slack, GitHub, CI, cloud, support, CRM, identity, and internal tools when the workflow crosses systems.
Company Data Platform
Turn scattered context into better decisions.
Agents get useful when they can understand the customer, the service, the policy, the cost, the prior decision, and the next-best action in one place.
Company memory
Preserve what teams learn about customers, services, incidents, policies, and accounts across surfaces.
Systems of record
Integrate CRM, support, billing, warehouse, GitHub, cloud, identity, and document systems into live context.
Decisioning
Use policy, risk class, budget, approval state, and eval decisions to determine what agents can do next.
Proactive work
Respond to signals like renewal risk, failed CI, customer escalation, deploy drift, or budget anomalies.
Trust and reliability
Designed for the review process enterprises actually run.
Security, platform, finance, and compliance teams get the same operating view: what agents did, why they did it, what it cost, what was blocked, and what record exists.
SSO, SCIM, RBAC, and break-glass review
Hosted, self-hosted, and regulated self-hosted editions
Approval receipts for high-risk actions
Eval-control decisions before rollout
Cost attribution by team, model, and workflow
Tamper-evident audit and compliance exports
Discover what EvalOps can do for you
Build better business operations with AI.
See how agents move through real systems with the context, approvals, action records, and outcome metrics needed to make the work trustworthy.