Agent blueprint

An agent blueprint for every opportunity worth building

Mission, operating loop, inputs and outputs, tools and connectors, and human approval points — generated for the opportunities that clear the quality gate, with a readiness status tied to your evidence, not the LLM's confidence.

1

Graph evidence confidence drives whether an agent is justified, not just whether the opportunity is interesting.

2

Strategy and commercialization plays are capped at prototype only — they are product ideas, not operational agent loops.

3

Closing named blockers (linked pain, accessible data, an approval owner) raises a blueprint's readiness status.

Readiness statuses

StatusWhat it means
ReadyStrong evidence: linked pain, accessible data, specific grounding, no unmet prerequisite
Needs discoveryWorth building toward, but key evidence (data access, owners, scope) is still missing
Prototype onlyA product/commercialization idea or thin evidence — explore as a prototype, not a deployed agent
Not recommendedThe evidence does not justify creating an agent yet (no deployment kit is written)

What raises readiness

  • A linked pain on the workflow, grounding the impact case.
  • An accessible data asset the agent would read at decision time.
  • Specific, non-generic grounding — a named process or offering, not a category.
  • A satisfied prerequisite (e.g. Instrument First done before Automate).
  • A named process owner, an approval boundary, and a few past examples to seed an eval set.

What it is not

A blueprint is a specification, not an automated deployment. The hard parts of shipping an agent — connectors, permissions, data quality, approval boundaries, and evaluation — are surfaced honestly rather than hidden.

Ready to apply this to your own AI roadmap?

Use a sample workspace now, or contact us to discuss your assessment workflow.