discover → design → build → evaluate → repair → track

Full Pipeline

The whole lifecycle, in order. Every agent a platform builds moves through these stages — from knowing how the organization works to keeping the shipped agent honest.

01

Organization Context

The organizational layer every agent is built against. Three lenses together: the context you operate in, the research that informs decisions, and the discovery of what’s actually needed.

ContextUpload org charts, strategy docs, and process maps. Define departments, decision rights, and who decides what. The platform builds a living model of your organization.
ResearchAn AI Adoption Roadmap and Delegation of Authority report auto-generated from your context, with a Strategic Portfolio Kanban visualizing every project.
Outputs · Delegation of Authority report · AI Adoption Roadmap · Strategic Portfolio Kanban
Measured · portfolio health — project count, velocity, organizational readiness
02

Projects & Working Agreement

Every initiative trackedEvery project lives in one place from idea to retirement — what stage it is in, who owns it, and whether it’s moving.
Signed before spendingA named management sponsor and product owner are set before design begins. Scope, responsibilities, and a measurable success metric are locked in. No signature, no work. They own the agent for life — no single architect bottleneck.
Measured · the north star metric — one outcome that defines success, tracked through every later stage
03

Discover

A structured interview captures the problem, the stakeholders, and the constraints. It scores whether the organization is ready — does the team have capacity, will they respond quickly enough, can they absorb the change — and checks alignment with the north star before proceeding.

Structured InterviewGuided questions walk the problem space, affected groups, and constraints, synthesized into an Opportunity Brief.
Commitment ReadinessScores the organization’s readiness — capacity, responsiveness, change appetite.
Outputs · Opportunity Brief · GO / NO-GO / CONDITIONAL triage
04

Design

Generates a full product requirements document from the discovery work. Scores each platform option across feasibility, capability, and fit — a recommendation from evidence, not a default to whatever you already pay for. Flags anything that can’t be built as specified before work begins.

PRD GenerationA complete product requirements document — problem statement, success criteria, constraints, scope.
Platform ScoringEach platform option scored across feasibility, capability, and fit. An evidence-based recommendation, not vendor lock-in.
05

Build

A structured build process with a required human approval checkpoint, starting from proven patterns instead of a blank page.

Human in the LoopBefore the agent is finalized, a person reviews and approves. A hard stop — you see exactly what it will do before it ships.
Developer HandoffOne build output is a decision-complete spec — a thin brief plus a full implementation reference — to hand a full-stack developer who owns the build.
Proven Starting PointsStart from patterns for common AI use cases — Q&A bots, workflow agents, approval flows, reporting. No blank-page paralysis.
06

Deploy

Deploy with a single action. Preview before you ship, and always know what’s running and where.

Connects to the platforms your organization already uses — not locked into a single vendor.

07

Operationalize

One click generates everything the organization needs to adopt and maintain the agent — no new data collection, using what the platform already knows about the organization and the project.

Who Owns WhatClear accountability for every activity — no finger-pointing after launch.
Tiger Team BriefA five-minute read so every stakeholder knows what changes for them.
Maintenance PlanEvaluation cadence, drift thresholds, decommission criteria.
Adoption PlanA phased rollout calibrated to how ready the organization actually is.
Measured · adoption tracked against the north star metric set at commitment
08

Evaluate

Seven independent evaluation methods test every agent before it goes live. Safety and bias are enforced by the platform — if an agent fails either, it cannot ship. No exceptions.

Automated TestingEvery agent is scored on instructions, safety, bias, and alignment with company values.
Adversarial TestingProbes for manipulation and boundary violations — if the agent can be tricked, you know before production.

Custom rubrics, bias probes, knowledge base audits, and failure analysis add layered coverage. Every finding links back to source evidence — audit-ready.

09

Repair

When an agent’s scores drop or drift is detected, Repair analyzes what went wrong and proposes rewritten instructions. The owner is notified with a repair brief, reviews, and approves before changes take effect. Every change ships with a changelog and rationale.

10

Monitor

Every agent’s health, cost, and performance visible in one dashboard. Drift triggers an alert to investigate, triage, and iterate. Every agent keeps the named sponsor and product owner from its Working Agreement.

Measured · north star and adoption tracked continuously — drift alert → investigate → triage → iterate
11

Transcript Review

Meeting transcripts are ingested and analyzed by an extraction pipeline that identifies proposed portfolio changes — status updates, milestone shifts, new risks, budget changes, timeline adjustments, scope changes, decisions, and action items. Every extracted change routes through a human reviewer before anything is applied to the portfolio.

Measured · extraction confidence, review throughput, applied-vs-rejected ratio — source-quoted traceability on every change