Move an AI capability toward release.
A release decision grounded in visible work and evidence.
The accountable product owner controls the release gate.
For Data, AI, product, and engineering leaders
Turn agent experiments into working operations.
Move from a promising model or prototype to work that reaches a result with the right data, people, tools, decisions, and release boundaries around it.
Overall
Agent at work
Current responsibility
Prepare the release decision for an account-prioritization agent
The candidate meets quality and latency targets. Cost is 18% above the approved threshold at peak volume.
Prepare the limited release. Ask Finance to decide on the peak-volume exception.
The release brief is ready. The cost exception includes the evaluation evidence, owner, and two options.Release brief ready · 1 cost decision
Ask or give direction…
Overall brings the work together across the tools your organization already uses.
GitHub
Linear
Notion
Google Drive
Work you can hand over
Start with a responsibility that already matters.
Each operation starts with an expected result and makes the decision that still belongs to a person explicit.
Swipe to explore the work →
Evaluate the right agent for one workload.
A workload-specific choice instead of a generic vendor ranking.
Provider access stays limited to the approved evaluation.
Prepare a dataset or model review.
One reviewable readiness record for the people who must decide.
Unknowns remain visible rather than inferred away.
Turn research into a product decision.
A decision brief with traceable sources and next work.
The agent prepares; the owner commits the roadmap.
Keep evaluation criteria aligned.
Comparable decisions across teams and providers.
Threshold changes require an attributable owner.
Scale a successful agent workflow.
A reusable capability another team can adopt.
Each new scope receives its own authority and owner.
What clients buy
The operation creates the value. The operating model lets it grow.
Get one result sooner
Start with work that must finish, not an automation project that must be admired.
Stop stitching agents together
Give specialist tools one objective, owner, authority, and operating thread.
Reuse what worked
Turn the successful operation into a capability another team can run again.
Autonomy that stays legible
Let the work move. Keep the decisions that matter.
The agent does not receive a blank cheque. Its responsibility, context, authority, and approval gates travel with the work. Exceptions reach the accountable person; actions, decisions, and recovery remain visible.
Operation control
Visible before work starts
Pause availableEvidence active
Accountable
VP Product
Can do
Run evaluations, collect evidence, and prepare the release brief
Cannot do
Cannot alter success thresholds or release to customers
Evidence
Inputs, evaluation runs, exceptions, decisions, and released version
Authority is scoped
Access is tied to the work, sources, actions, targets, and duration that were approved.
The decision has an owner
One person owns the result and can inspect, pause, redirect, or revoke the work.
Evidence survives
Inputs, actions, decisions, results, and recovery remain attributable after the run ends.
The cost already exists
Most organizations already pay for fragments of this operation.
Overall does not need to replace every tool. It gives the tools, people, and agents already in place one accountable way to move work and preserve what happened.
- Repeated pilots that stop at a demo instead of becoming an operation
- Manual coordination between product, data, engineering, security, and legal
- Evaluation tools that measure models but do not own the work around the decision
- Vendor-specific orchestration rebuilt when the chosen runtime changes
Put AI to work
Make the next AI initiative reusable from its first real result.
Start with the capability you already want to put into production. Overall connects its work, decisions, authority, and evidence so the next team does not start over.