AI product strategy & advisory

Stored energy.Released on purpose.

Springtank Advisors helps investors and operators decide where AI will pay off, then proves it with working prototypes before you commit the budget.

Book a 30-min call → What we do
Springtank Advisors mark
01 The gap

Strategy without proof is a guess. Code without strategy is a cost.

Strategy firms

Hand over a deck and leave you to find out whether any of it works.

AI dev shops

Start building before anyone has decided what is worth building.

Springtank

One decision, backed by proof. You keep the prototype, the evals and the playbook.

02 Services

Fixed scope. Something you can run at the end.

2–3 weeks

AI Opportunity Diagnostic

Find where AI moves the numbers in your business, and where it won’t.

  • Workflow audit
  • Ranked AI value map and ROI model
  • One working prototype
1–2 weeks

AI Product Diligence

Pressure-test a target’s AI claims before you sign.

  • Capability and claims review
  • AI unit economics
  • Roadmap and build risk
6–8 weeks

Prototype-to-Proof Sprint

Turn the top bet into a working proof with evidence attached.

  • Working proof of concept
  • Eval harness
  • Build-vs-buy recommendation
Ongoing

Fractional AI Product Leadership

Senior product leadership embedded with your team or across a portfolio.

  • Fractional AI CPO
  • Standing advisory
  • PE portfolio retainer
03 Who we serve

Built for teams that need AI to pay off.

PE

Private equity & portfolio companies

Diligence on AI claims before the deal, and value creation across the portfolio after it.

MM

Mid-market operators

Document-heavy workflows, a board-level AI mandate and no appetite for science projects.

SaaS

Seed to Series B software

Adding AI features, rethinking pricing for AI, or deciding what to build versus buy.

04 Approach

Four phases. One decision.

01

Diagnose

Map the workflows, data and economics where AI could matter.

02

Prioritize

Rank the bets by value, feasibility and risk. Cut the rest.

03

Prototype

Build the top bet against real data, fast enough to learn from it.

04

Prove

Measure it with evals, then make the call: scale, buy or stop.

05 Start here

Have an AI bet you can’t size yet?

Thirty minutes, no pitch deck. Bring the question and we’ll tell you whether it’s worth pursuing and what it would take to prove it.

Book a 30-min call → Led by Josh Haas, former MD of AI Products at DLA Piper