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For the AI Product Owner

From a process drawing to a build-ready agent program.

Capture a business process once, and this instrument generates the three artifacts an APO is accountable for: an agent architecture, a human–agent conversation design, and a sequenced program backlog — all from a single source of truth.

Start with a process →
01ProcessCapture steps, lanes & systems→
02AgentsSuper + domain topology→
03ConversationHow humans & agents interact→
04ProgramEpics & features to kick off
● The role this is built for

What is an AI Product Owner?

An AI Product Owner (APO) owns an agent — or a fleet of agents — the way a product owner owns a product. They are accountable not for a one-time launch but for the agent's outcomes, its roadmap, the trust around it, and the experience of the people who work alongside it.

The APO sits where business intent meets the build. They translate a messy, human business process into something an agent can actually run, decide how much autonomy it earns, and measure whether it moved Real People Impact — not just whether it shipped.

Outcomes, not featuresOwns the value the agent creates — revenue, cost, and capacity given back to people.
The architecture decisionWhere agents live, how they hand off work, and what they're allowed to touch.
The human–agent contractWhen the agent acts on its own, and when it asks a person.
The program, sequencedWhat gets built first, what it unlocks, and how it scales safely.
How this tool helps. An APO is usually handed a process diagram and asked, “make this agentic.” This compresses that brief into the three deliverables above — derived from one process model, so the agent design, the conversation design, and the program plan never drift apart. Capture the process below; everything downstream generates from it.
Stage 01 · Capture the process

Describe the process the agents will run.

Add each step in order. The lane is the function or actor responsible; the system is the record it reads or writes; the trust boundary decides whether agents can live in one org or must federate across orgs.

Attach a whiteboard photo, flowchart, or diagram and let AI read it into the steps below — then review and edit. Or skip it and build the steps by hand.
Step type and “needs human judgment” together decide autonomy, human-in-the-loop points, and the default interaction style downstream.
StepLane / actorTypeSystem touchedTrust boundaryHuman?
The plan

Agent program

◆

Process at a glance — SIPOC

SIPOC frames scope before build — who supplies inputs, what goes in, the high-level process, what comes out, and who receives it. Generated from your steps; refine as needed.
2

Agent architecture & orchestration

Super agent · orchestrator
—
        3

        Conversation design canvas

        Each touchpoint gets a default interaction contract — meet people where they already work, let agents act when it's safe, and ask a human when it isn't. Adjust any cell; the defaults come from each step's type and whether it needs human judgment.

        TouchpointModalitySurfaceHuman inputEscalationSuccess signal
        The five modalities. Proactive (agent initiates on a signal) · Ambient (works silently, surfaces outcomes) · Responsive (reacts to a request) · Conversational (multi-turn dialog) · Instructed (human supplies structured input or approval).
        4

        Program backlog — epics & features

        Standing epics scaffold any agentic program; the purple epic is generated from your process. Tiers map to a Foundation → Acceleration → Transformation sequence.

        ◆

        Estimated resources & timeline

        A planning-level estimate sized from the architecture above — domain agents, integrations, handoffs, and human checkpoints (pw = person-weeks). Validate in discovery; layer dollar cost with the RPI & ROI Estimator.

        WorkstreamLead rolesEst. effortPhase

        Suggested core team

        Indicative timeline

        —
        to first production agent
        —
        to full program (all phases)