AI AgentOps
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THE OPERATING LAYER FOR RELIABLE DELIVERY

Build and ship complex systems with confidence.

Bring change intelligence, AI agent evaluation and engineering workflows into clearer focus—so teams can make better decisions before and after release.

Explore the platform ▶ See how it connects
Evidence-led workflows Human-controlled releases
Workspace / OverviewA
WORKSPACE OVERVIEW

Release overview

All projects⌄
Changes to review12Across 3 workstreams
Evaluations08Results available
Release checks062 need attention
Validation activityLast 7 days
MonTueWedThuFri
Needs attention2
Agent response reviewGuardrails · Evaluation
Checkout regressionInsightFlow · Change
Review work queue
Connected evidenceSample workspace
Impact mappedChange intelligence
Evidence connectedReview with context
Illustrative product concept · Not live data
ONE CONNECTED VIEW
Change intelligenceAgent assuranceEngineering workflows
DESIGNED AROUND YOUR WORK
Understand change Evaluate behaviour Govern delivery
EXPLORE THE PRODUCT SUITE

Three ways to make
better decisions.

Start with the problem in front of you. Explore a focused capability, then connect the dots across your delivery lifecycle.

01 / 03
CHANGE INTELLIGENCE

InsightFlow

Know what a change could break before it ships.

Connect requirements, code changes and validation evidence to understand impact and focus review where it matters.

Change review Illustrative
CHANGE SCOPECheckout flowStory · WEB-248
04areas
Payment validationBusiness rule · High relevance
Review
Order confirmationCustomer journey · Related
Check
Refund handlingDownstream dependency
Check
Sample interface · Not live product data
Discuss InsightFlow
02 / 03
AGENT EVALUATION & ASSURANCE

Guardrails

Evaluate agent behaviour beyond a happy path.

Organise evaluation around task outcomes, grounded responses, policy adherence and dependable behaviour.

Evaluation run Illustrative
SCENARIO SETSupport assistantPolicy · Accuracy · Task outcome
Reviewrequired
Task outcomeScenario criteria
Pass
Policy adherenceSafety constraints
Pass
Grounded responseTrace evidence
Inspect
Sample interface · Not live product data
Discuss Guardrails
03 / 03
AUTONOMOUS ENGINEERING

FlowForge

Move from a requirement to a verified change.

Connect work items and designs to implementation, checks, review and release evidence—with people in control.

Engineering workflow Illustrative
WORKFLOWFrom intent to evidenceReview gates remain visible
Understand the requestStory and acceptance criteria
Ready
Implement the changeProposed code changes
Ready
Verify and reviewChecks and evidence
Review
Sample interface · Not live product data
Discuss FlowForge

Product names and interfaces are working concepts. Capabilities and availability require confirmation before launch.

BUILT AROUND REAL WORK

Find the signal in
your toughest workflows.

Explore by challenge—not by buzzword. Each workflow starts with a question your team needs to answer.

01

Change impact

See the likely blast radius before prioritising validation.

Explore workflow
02

Agent evaluation

Assess agent outcomes, constraints and failure modes.

Explore workflow
03

Release confidence

Bring checks, findings and decisions into a coherent view.

Explore workflow
FROM SIGNAL TO DECISION

Less context switching.
More connected evidence.

Give teams a clearer path from an incoming change or agent run to the evidence needed for a confident decision.

01

Bring the context togetherStart with a requirement, change, trace or failure.

02

Make the next step explicitIdentify what to inspect, validate or review.

03

Keep evidence attachedMake outcomes and decisions easier to understand.

Discuss your workflow
WORKFLOW EVIDENCE Connected view
INPUTCheckout change requestStory · Acceptance criteria
PLANImpact & validation scopeRules · Journeys · Constraints
EVIDENCEReviewable findingsResults · Traces · Decision notes
Human review stays in control Illustrative workflow
WORK WITH YOUR ECOSYSTEM

Fit the tools your teams
already use.

Explore an integration approach that respects your existing development, observability and evaluation workflows.

Discuss an integration
LLangChainAgent framework
PpromptfooEvaluation tooling
DDeepEvalLLM evaluation
LLangfuseObservability
GGitHubEngineering workflow
JJiraWork management

Ecosystem examples for discovery only. Compatibility and integration status must be confirmed before launch.

IDEAS FOR THE WORK AHEAD

Useful thinking.
Grounded in real workflows.

Practical perspectives for teams building software and working with AI agents. Editorial content will be published after review.

FIELD GUIDE

From agent demos to dependable evaluation

Define outcomes, constraints and evidence before trusting an agent in a real workflow.

Discuss this topic
WORKFLOW NOTE

Make change impact useful to software teams

Connect a change request to the business rules, journeys and checks that deserve attention.

Discuss this topic
ENGINEERING BRIEF

Autonomy needs evidence and decision rights

Think about verification, human review and release accountability in agent-assisted engineering.

Discuss this topic

These are editorial concepts, not links to published research or articles.

PRICING & ENGAGEMENT

A clear starting point
for your use case.

Pricing depends on workflow, scope, integrations and support. Start by aligning on the problem and what a successful outcome would look like.

START WITH A CONVERSATIONScope a focused evaluation.

Define the use case, agree success criteria and establish a realistic next step.

  • Define the initial use case
  • Agree success criteria
  • Establish scope and next steps
Discuss pricing
START WITH YOUR BIGGEST BOTTLENECK

Make the next decision
your clearest one.

Tell us where your team loses context, confidence or time. Start a focused conversation about the workflow that matters most.

Talk to our team Replace the placeholder email before launch.