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The Agentic AI Process Designer

Redesign your processes for humans + AI agents

Describe a process in plain words. An AI consultant maps how it works today, proposes which steps move to AI agents and which stay human, and hands you governance checks, a business case in euros and a delivery plan. All on one canvas.

Open the studio See a live example โ†’
the agentic to-be of an insurance claims process: AI agents supervised by controls, with human gates
A real to-be design: agents doing the work, controls supervising them, humans deciding what matters.

The core idea

Lanes answer the only question that matters

Every step sits in the lane of whoever executes it: Humans, Hybrid (human-in-the-loop), AI Agents, Systems or Data. Redesigning a process is literally moving a step to another lane, and everyone in the room sees the decision happen.

Each agent carries its profile: what kind of AI it is, what capability it uses, how autonomous it is allowed to be, and how risky the step is. The canvas is simple enough for a workshop and precise enough to hand to the team that builds it.

๐Ÿค– Classify claim type and urgency
Humans ๐Ÿ‘ค Assess coverage
Hybrid (HITL) ๐Ÿค Review AI recommendation
AI Agents ๐Ÿค– Extract claim data
Systems โš™๏ธ Send SEPA payment

From today to target

As-is, to-be, and the diff between them

the as-is view: every step of the claims process executed by humans
As-is: eight manual steps, every one of them in the Humans lane.
the diff panel listing which steps are new, migrated or consolidated
The Diff names every migration and consolidation, step by step.

Start through any of three doors: describe the process in plain words, draw it yourself, or let a discovery consultant interview you while the brief fills itself in. The AI designs both views in one pass, with the reasoning for every allocation.

Everything the room needs to decide

a control supervising an AI agent with a human gate

Governance built in, not bolted on

Preventive, detective and corrective controls supervise your agents. Human gates guard the decisions that must stay human. A governance check reads the whole design against 11 rules and proposes one-click fixes.

human hours weighed against AI token costs with a payback curve

A business case in euros

Human hours saved versus real AI running costs, computed from live model prices. Implementation sized per agent, payback month and 12-month ROI, and an executive narrative written on top of your numbers, never instead of them.

a four phase implementation blueprint: setup, run, exceptions, handoff

From design to delivery

Every step breaks into a build-ready blueprint: setup, execution flow, exceptions, handoff. Send them to a delivery board with owners, due dates and follow-ups, and export the whole thing as an executive PDF.

Who it is for

Built for the people in the room

Consultants running AI transformation workshops. Operations leaders who need to answer "which steps should an agent do" with more than a gut feeling. Teams that want the map, the guardrails and the numbers before they build anything.

Start with AI process mapping if you are documenting today's reality, compare us with classic process mapping software, learn how agentic workflows actually work, or go straight to business process redesign.

Redesign your first process this week

The studio is in private preview. Open it to request access, or walk through a real, read-only example first.