Execution Engagement · Workflow Sprint · 3–4 Weeks

Agent-Ready
Workflow Design

Before you build an AI agent, your workflows need to be designed for one. We take your specific automation targets and make them genuinely agent-ready.

What It Is

Automation fails on workflows that were never designed for AI.

Deploying an AI agent on an undocumented, exception-heavy process does not automate your operations — it automates your inconsistencies. When the agent hits an edge case nobody documented, it breaks. The automation stalls. The team loses confidence. The project gets shelved.

We take your highest-priority automation targets and make them genuinely agent-ready. We map the current state at the level of specificity reliable AI execution requires, identify what must change before automation can work, document edge cases, and produce specifications your engineering team or AI partner can build from directly.

This engagement is focused and fast — typically 3–4 weeks for 3–5 target workflows. It can run standalone or as part of a broader Company Brain Blueprint engagement.

Engagement Type
Workflow sprint. Focused on 3–5 specific processes.
Duration
3–4 weeks from kickoff to delivery.
Team Required
Process owners and subject matter experts for each target workflow. 2–3 hours per person across structured sessions.
Format
Remote or on-site. Current-state mapping sessions, redesign workshops, specification review and sign-off.
Can Be Combined With
Company Brain Blueprint · AI Readiness Diagnostic · AI Transformation Retainer
How It Works

From current state to agent-ready specification.

01

Map current state

We document how the workflow actually happens today — the full sequence including tools, handoffs, decision points, exceptions, and workarounds.

02

Identify blockers

We identify every point where the process is too ambiguous, exception-heavy, or undocumented for an AI agent to navigate reliably.

03

Redesign for AI

We restructure the workflow with clear decision logic, explicit exception handling, defined escalation paths, and unambiguous handoff points.

04

Produce specifications

We deliver the engineering documentation your developers or AI vendor need to build the agent — including human-in-the-loop trigger definitions and testing criteria.

What You Receive

What you leave with.

Everything your engineering team or AI vendor needs to build from — without having to reverse-engineer the process themselves, discover edge cases in production, or stall the project waiting for documentation that does not exist.

Current-state process maps Agent-ready redesigned specifications Decision trees and exception handling documentation Human-in-the-loop trigger definitions Agent prompt architecture scaffolding Testing and validation framework Engineering handoff documentation Implementation risk register
Who It Is For

This engagement is right when:

Your automation targets keep stalling

You have specific processes you want to automate but every attempt breaks on edge cases or produces inconsistent output. The workflow itself is the problem.

Your AI vendor needs better documentation

Your development partner is ready to build but the process is not documented well enough. This engagement produces exactly what they need to start.

You are running a focused automation sprint

You have a 90-day AI deployment window and need 3–5 workflows made agent-ready before the build begins. This sprint delivers that in time.

Make your first workflow agent-ready.

Tell us which process you are trying to automate and we will tell you honestly whether it is ready — and what it would take to get it there.