Advisory engagements for data and AI decisions: infrastructure audits, AI readiness, privacy and cookieless strategy, and build-versus-buy analysis.
Expensive decisions made on vendor input
Data and AI decisions get made with the worst possible evidence: vendor demos, a competitor's conference talk, and an internal team too busy running the current system to evaluate alternatives. The results are predictable. A platform gets bought for a problem that was actually modeling. An AI initiative launches on data that cannot support it. A three-year contract gets signed on pricing that breaks at twice current volume. The cost of the wrong call dwarfs the cost of checking.
What an advisory engagement produces
- A current-state assessment based on your actual systems and data, not a maturity questionnaire
- A written recommendation with the reasoning visible, so your team can challenge it
- Cost modeling against your real volumes, including how it changes as you grow
- A prioritized roadmap sequenced by impact and dependency, with rough effort per item
- The risks and the honest unknowns, including where we think you should not proceed
- A working session with your team and leadership to pressure-test the conclusions
How we work
Agree the specific decision the engagement has to answer, in writing, before we start
Review the real systems, data, and costs rather than relying on described state
Model the options against your volumes and constraints
Present findings, take the pushback, and revise into a final recommendation
Typical stack
Frequently asked questions
Only where we are genuinely the right fit, and the recommendation stands on its own either way. Several of these engagements have ended with us advising a client to buy a product, keep their current stack, or hire in-house rather than engage us. An advisory deliverable that always concludes "hire us" is a sales document, and it is worth nothing to you.
Most run two to four weeks depending on scope and how quickly we get system access. Tight, single-question engagements can be shorter. We scope and price it up front so there is no open-ended meter running.
No, and the deliverable is written to be actionable by whoever does the work: your team, another vendor, or us. You own the document and the reasoning behind it.
Go deeper
Bring us a decision
Tell us the question you are stuck on and we will scope an engagement that answers it, or tell you it does not need one.
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