Describe one workflow in plain English. Assess turns a C-suite “wouldn't it be cool if…” into a coherent, measured, coordinated MVP — assessed, built, enabled, and governed — so it doesn't die in pilot.
For one workflow: is it a good fit for an agent — and how much should it run on its own? An honest verdict and autonomy call.
Agentic methodThe MVP, threshold map, build-vs-buy, and a rollout roadmap the team can actually execute.
Agentic methodThe 70%: whose work changes, new roles and skills, and how to drive adoption — so it doesn't die in pilot.
10·20·70 + ADKARRisk tier, controls, the AI bill of materials, and explicit success metrics — structured on NIST's framework.
NIST AI RMFNot a generic prompt — a synthesis of the thinking that actually works
Agentic AI has gone from science project to board priority — and most efforts still stall on the people-and-process work, not the model.
of CEOs say their job is on the line if their AI efforts flop.
expect AI agents to deliver measurable ROI in 2026.
of 2026 AI investment is going to agentic AI.
of what makes AI succeed is people & process — the part most teams underfund.
Source: Boston Consulting Group survey of 2,360 CEOs, 2026.
A short guided intake — no jargon. Then a structured read that runs your workflow through the same questions a seasoned AI lead would ask, every time.
What it is, where people use judgment, what it costs today, and what happens if it goes wrong. A few minutes, plain language.
Autonomy level, the five things every agent needs, the safeguards this specific workflow requires, and an honest comparison to how you do it now.
A board-ready brief, then — on the same workflow — the build plan, the enablement plan, and the governance pack. Add whichever you need; download as PDF.
Dropping your workflow into a generic chatbot gets you a confident guess that changes every time you ask. AgentReady adds the structure a real decision needs.
Every workflow goes through the same defined steps — autonomy, design, safeguards, value — so two workflows are actually comparable. A chat thread isn't.
It's built to talk you out of bad first agents — irreversible actions with no safety net, workflows with no measurable baseline. A chatbot tends to cheerlead.
The recommended level is calibrated to the stakes and whether an error can be undone — the calculation that actually keeps an agent safe.
It forces the two things pilots usually skip — the 70% people-and-process change (BCG) and defined success metrics (NIST) — so the idea becomes a coordinated, measured MVP, not another stalled experiment.
What you type is sent once for analysis and then discarded. No account, no database of your operations.
Your inputs and the brief are never saved on our side. Close the tab and it's gone.
Open it and use it. No signup, no login, no sales call.
Your description is sent once to generate the brief — not pasted into anyone's personal chatbot history.
AgentReady is a decision-support aid for leaders evaluating agentic AI. It is not an implementation plan, a security review, or a guarantee of outcomes. Every result should be pressure-tested against your own context, data, and risk appetite before you act. Built as a working demonstration of an agentic-AI deployment method.