Cohivo
Scope and change control for agencies. Every “can you also…” checked, priced and approved before the work starts.
- Role
- Founder. Strategy, UX, UI, design system and engineering
- Timeline
- September 2026 to now
- Status
- Live waitlist, guided pilot with agencies
- Live
- cohivo.eu

Scope creep doesn’t arrive as a change request.
Agencies of 10 to 100 people sell projects against a statement of work, then deliver them through a task tool, a time tracker and a lot of email. When a client writes “can you also…”, nobody checks the agreement. Scope gets argued from memory, pricing the change takes days, and the work usually starts before anyone agrees a price.
Each small yes looks harmless. Together they decide whether a project makes money, and the agency only finds out when the invoice conversation goes badly.
From “AI project controller” to one sharp job.
The first brief was broad: an AI controller watching scope, budget, dates, capacity and dependencies across a portfolio. A strong vision, and a hard first purchase. I researched more than twenty scope-creep tools that appeared in 2026: they all ship the same freelancer loop, and none of them knows what the team is actually doing.
Trust is the product. So money never comes from a language model.


From a client’s email to the plan, in four steps.
Every screen below is the running product, shown with requests from the demo workspace: an insurance client asking for a few “small” additions to their customer portal.
The ask is recorded and checked against the agreement.


Know what it costs before you answer.
Priced from the agency’s own rates and similar past work: price, cost and margin as a low–expected–high band, the project before and after, and whether the team has the capacity.

The client decides on a proposal, not on a thread.
A no-login link or the client portal: price, effort, timing and the work included, then approve, ask a question, or keep the original scope. The answer is recorded against exactly that version.


The approval becomes the plan.
An approved change updates the agreement, drafts the next baseline and lines up the delivery tasks, but only after the team publishes it. Delivery is then checked against the new agreement.


“AI gets you to a working product fast. The hard part is still deciding what the product is for.”
Cohivo runs a guided pilot with agencies of about 10 to 100 people. The validation target: five design partners using it on live projects for eight weeks, recovering more value than the subscription costs.