Strategy & Consulting
The most valuable engagement we run is sometimes the one that ends with 'do not build this'. We assess feasibility against your data, your constraints and your budget, and write down an honest answer.
What this includes
AI opportunity assessment
Which workflows genuinely benefit, ranked by value against effort.
Technical due diligence
Independent review of an AI product, team or vendor before you invest.
Architecture review
A second opinion on a design before it becomes expensive to change.
Build vs buy analysis
Honest comparison against off-the-shelf options, including doing nothing.
Data readiness audit
Whether your data can actually support what you want to build.
Team enablement
Workshops that leave your engineers able to carry the work.
What you end up with
- A written recommendation you can act on
- Realistic cost and timeline models
- Risks named before they become surprises
- Internal alignment on scope
Tools we reach for
Frequently asked
How long does an assessment take?
Usually one to two weeks, ending in a written document and a working session with your team.
Do we have to build with you afterwards?
No. The assessment is a standalone deliverable and several clients have taken it to their internal teams.
Other work in this practice
PRIDE — AI Search Visibility
Buyers now ask AI assistants for recommendations. PRIDE measures whether your brand is in those answers — and works to get it there.
Read moreProduct Development
Take a product from idea to live users, with AI capability built in rather than bolted on.
Read moreEnterprise Software Development
Software that carries operational weight — integrations, compliance, uptime and scale.
Read moreLet's talk about what you're building
Tell us the problem. We'll tell you honestly whether AI is the right tool, and what it would take.