A clear agent design for every opportunity worth building

Define the job, work loop, inputs, outputs, tools, integrations, and human approvals for opportunities that pass the evidence review. Readiness comes from company evidence, not the AI model’s confidence.

Request access See the readiness ladder

What this establishes

The decision in view.

Principle 1

The strength of the company evidence decides whether an agent is justified, not just whether the idea sounds interesting.

Principle 2

Strategy and new-product ideas receive concept briefs, not misleading operational agent code.

Principle 3

Resolving named blockers—a proven problem, accessible data, and an approval owner—raises the design’s readiness.

Readiness results

Result	What it means
Ready	Strong evidence: a proven problem, accessible data, a specific workflow, and no unfinished preparation
Needs discovery	Worth exploring, but important evidence such as data access, ownership, or scope is still missing
Concept only	A new-product idea or weak evidence—explore the concept, but do not present it as a deployable agent
Not recommended	The evidence does not justify creating an agent yet

What raises readiness

A proven problem in the workflow.
Data the agent can access when it needs to make a decision.
A named process or product rather than a generic category.
Required preparation completed before the agent work loop begins.
A named process owner, clear approval rules, and past examples for the first tests.

What it is not

An agent design is a specification, not an automatic deployment. It makes integrations, permissions, data quality, human approvals, and testing visible instead of hiding them.