Agency

Design, review, and readiness support for production agentic AI workflows.

This is a selective, founder-led service for teams that have already moved through the public doctrine, MCP, and installable agent layer and now need high-touch support on a real workflow.

The default path through AI Design Blueprint is still install-first: public doctrine, installable assets, MCP, then Pro. Agency support only exists for teams with a bounded, high-stakes case that warrants direct founder involvement.

Book a selective discovery call Join the closed beta Explore the product path first

Key Facts

Role: Selective founder-led service
Engagements: 5 focused types
Model: High-touch, outside the ladder
Anchor: Public doctrine + Pro workflow

What we help with

We work with teams that already have a real workflow or prototype and need structured support to move it forward.

A promising agentic system that feels almost there but lacks clear delegation, approvals, or failure handling

A prototype that works in the lab but needs runtime clarity before wider rollout

Internal uncertainty about what should be autonomous and what should remain human-in-the-loop

A need for independent evidence and readiness assessment before committing more resources

A workflow that needs narrowing before a proof of concept, pilot, or production path

Engagement types

Five focused engagement types, each designed for a specific stage of the agentic workflow journey.

Diagnostic

Readiness Review

A principle-by-principle assessment of your current or near-production workflow. You receive clear findings, top risks, runtime gaps, and a prioritised remediation path.

2 weeks

Workflow Design Sprint

Two weeks to turn a vague or over-scoped idea into a focused, inspectable workflow with clear delegation, visibility, trust, approvals, and runtime model.

2 weeks

Proof-of-Concept Sprint

We test viability with a working demo, findings report, and go / no-go recommendation. Right when the question is still: can this workflow work well enough to justify the next stage?

MVP

MVP / Pilot Design Support

We shape the smallest real version that can create measurable value in production. Designing for controlled real-world usefulness, not just a good-looking demo.

Advisory

Ongoing Advisory

Recurring strategic support once trust is established. For teams that want a longer-term specialist partner grounded in the Blueprint rather than one-off generic consulting.

How we work

A disciplined, repeatable process that respects your time and focuses on decisions rather than meetings.

Discovery call, we uncover the real problem, not just the requested feature

Use-case evaluation and decision gate, we assess fit with the Blueprint principles

Proposal, clear scope, engagement shape, deliverables, and success criteria

Two-week sprint, async-first, with a kickoff and a final review

Review and next-step decision, continue, narrow, pause, or shift into advisory

What teams typically leave with

Each engagement ends with a clear, usable output, not a generic report. The exact form depends on the engagement type, but the pattern is consistent.

A clear view of which parts of the workflow are production-ready and which carry real risk

A prioritised list of the top 3–5 decisions worth making before the next stage

A narrowed, inspectable workflow model with explicit delegation, approval, and recovery points

A documented go / no-go recommendation grounded in the Blueprint principles

A repeatable review structure to reuse after each major iteration

Strong fit vs not a fit

We are selective by design. The quality of the enquiry matters more than volume.

Strong fit: real workflow or prototype, clear owner, real urgency, ability to provide context and artefacts

Strong fit: willingness to review evidence, iterate, and provide access to relevant context

Not a fit: generic outsourced dev shop for undefined AI work

Not a fit: expectation of perfect accuracy from day one with no iteration

Not a fit: no sponsor or workflow owner, or black-box solution expectations

FAQ

Is this the same as hiring a generic AI agency?

No. We only apply the public AI Design Blueprint standard. The work is grounded in the same principles, examples, and runtime patterns that are already available on the site.

Do you work with internal teams or external agencies?

Yes, both. We work directly with product, design, platform, and innovation teams, and we can also support agencies that need doctrine-led workflow review.

Do you build the full solution for us?

Not as a default offer. We focus on design, review, readiness, and selective delivery support for serious workflows. The goal is clearer decisions and a stronger path forward, not generic outsourced build capacity.

What is the difference between a Readiness Review and a Sprint?

A Readiness Review is primarily diagnostic. A Sprint is collaborative design and shaping work with a tighter scope and a more active output.

What happens after the first sprint?

We review the results together and decide the next step: another sprint, advisory support, a narrower follow-up, or a clear no-go. Many strong-fit clients continue once trust has been established.

When is the right time to reach out?

When you have a real workflow or prototype and want structured clarity before investing further.

Agency

Ready to move your agentic workflow toward production with clarity?

Bring a real workflow, prototype, or problem statement only if the public MCP/distribution layer and the practitioner path are not enough for the situation. Agency support is intentionally selective and reserved for bounded, high-stakes cases.

Book a selective discovery call