AI Resources

Interactive Agentic Architecture

The same eight-step system, told three ways. Choose the lens that matches how the reader would evaluate it: the story on the right rewrites itself while the map holds constant. Scroll or step through, and select any part of the map to jump to it.

Read as a product leader. One request becomes a shipped, compliant flow, and the speed, with control kept, is a business advantage.

System MapBusiness View
PEOPLETHE AI TEAM · CLAUDESOURCES · ONE OWNER EACHMCP GATEWAY · OWNEDPersonsets the goalsigns offOrchestratorplans & assigns, with sign-offsResearch agentfinds what is already knownDesign agentbuilds the draftValidatorchecks the rules, every timeGuardrail spinethe must-pass rulesBrand & identityBRAND · OWNED BY DESIGNComponent substrateCOMPONENTS · OWNED BY ENGINEERINGProduct contextCUSTOMER RESEARCH · PERSONASLive evidenceLIVE USAGE DATAFigma canvasWHERE DESIGNERS CRAFTThe workshipped · reviewed
audit log: every call recorded (illustrative count)00 events
01 / 08

Step 01 / 08

It Starts With a Person

Weeks of spec-writing collapse into a sentence.

A product lead might say: we need a field-inspection assistant for our technicians, live this quarter. That is the brief. The point of this architecture is that intent like that is the starting point: no requirements relay race, no fidelity lost between the person who knows the goal and the system that executes it.

Step 02 / 08

One Plan, Made by Claude

A plan in seconds, with approvals built in.

The system turns that one line into a plan: which screens, which compliance rules, which data it needs, and the exact moments a person signs off. Nothing runs unsupervised. For a business, that is speed and control, not a trade between them.

Step 03 / 08

A Small Team of Specialists

A team’s accountability at automation’s speed, with a validator that cannot be overruled.

Three focused roles: one gathers context on the technician and their job, one builds the flow, and one checks it against brand and law. The validator’s verdict comes from deterministic checks, so the other agents cannot argue it out of a failure. Quality stops being a hope and becomes a gate.

Step 04 / 08

Everything Crosses One Doorway We Own

The audit trail a legal team will ask for, recorded as the work happens.

Every request for data or a tool passes through one gateway the company controls. When a customer audits how the AI made a decision, the record already exists. In regulated, client-facing work, exactly the frontline context I design for, that is the difference between shipping and not.

Step 05 / 08

It Works From Federated Sources

Built from the real brand and the real product, not a mockup.

The flow is assembled from design’s real brand system and engineering’s real components, grounded in research and usage. It is not a throwaway picture to rebuild later. It is the real thing, which is why weeks of rework disappear and why the result already looks and behaves like us.

Step 06 / 08

Nothing Ships on the Model’s Word

Compliance and quality are enforced, not trusted.

Before anything moves, the must-not-fail checks run: the AI disclosures the law requires, accessibility, brand and performance. It passes or it stops. Risk moves from hope the team caught it to the system will not let it through.

Step 07 / 08

A Person Approves. Always.

Faster to value, without giving up the wheel.

The finished flow returns to a person, real, reviewable and versioned, and ships only when they say so. The business reaches product value in days instead of quarters, and a person is still accountable for what goes out. Speed and control, together.

Step 08 / 08

The System Remembers and Flags Drift

Every project makes the next one cheaper and faster.

What worked, and the decisions behind it, flow back into the system. The second flow is faster than the first; the tenth faster still. The asset is not any one screen. It is a process that compounds, which is how this pays for itself many times over.