← Index

AESOP Transformation OS

1
Organization Context

Establishes 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.

Context

Upload org charts, strategy docs, process maps. Define departments, decision rights, and who decides what. The platform builds a living model of your organization.

Research

AI Adoption Roadmap and Delegation of Authority Report auto-generated from your context. Strategic Portfolio Kanban visualizes all projects.

Delegation of Authority Report AI Adoption Roadmap Strategic Portfolio Kanban
Measured: Portfolio health — project count, velocity, and organizational readiness.
2
Projects & Working Agreement

Every initiative tracked

Every project lives in one place from idea to retirement. You can see what stage anything is in, who owns it, and whether it’s moving.

Signed before spending

A named management sponsor and product owner are established 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: North star metric — a single outcome that defines success. Tracked through every subsequent stage.
3
Discover

Structured interview captures the problem, the stakeholders, and the constraints. Scores whether the organization is ready — does the team have capacity? Will they respond quickly enough? Can they absorb the change? Checks alignment with the north star metric before proceeding.

Structured Interview

Guided questions walk through the problem space, affected groups, and constraints. Responses are captured and synthesized into an Opportunity Brief.

Commitment Readiness

Scores the organization’s readiness: capacity, responsiveness, and change appetite.

Opportunity Brief GO / NO-GO / CONDITIONAL Triage
4
Design

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

PRD Generation

Complete product requirements document — problem statement, success criteria, constraints, and scope.

Platform Scoring

Each platform option scored across feasibility, capability, and fit. You get an evidence-based recommendation, not vendor lock-in.

5
Build

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

Human in the Loop

Before the agent is finalized, a person must review and approve. This is a hard stop. You see exactly what the agent will do before it ships.

Proven Starting Points

Start from patterns for common AI use cases — Q&A bots, workflow agents, approval workflows, reporting, and more. No blank-page paralysis.

6
Deploy

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

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

7
Operationalize

One click generates everything the organization needs to adopt and maintain the agent. No new data collection — it uses what the platform already knows about your organization and the project.

Who Owns What

Clear accountability for every activity — no finger-pointing after launch.

Tiger Team Brief

A 5-minute read so every stakeholder knows what changes for them.

Maintenance Plan

Evaluation cadence, drift thresholds, and decommission criteria.

Adoption Plan

Phased rollout calibrated to how ready the organization actually is.

Measured: Adoption tracked against the north star metric defined at commitment.
8
Evaluate

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

Automated Testing

Every agent is scored on instructions, safety, bias, and alignment with company values.

Adversarial Testing

Probes 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 provide layered coverage. Every finding links back to source evidence — audit-ready.

9
Repair

When an agent’s scores drop or drift is detected, the Repair workflow analyzes what went wrong and proposes rewritten instructions. The project owner is notified with a repair brief. They review and approve 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 has a named responsible management sponsor and product owner from the Working Agreement.

Measured: North star and adoption metrics tracked continuously. Drift alerts → investigate → triage → iterate.