Requirements first
What the work actually needs, before any vendor gets named.
AI Platform Selection
Choose the right AI platform once.
We evaluate the options against the actual work, then document a decision the whole team can stand behind.
The problem
The AI tool market changes faster than anyone can evaluate it.
Every vendor demos well. Pricing is hard to compare. Two departments buy overlapping tools, and the contract gets signed before anyone checks whether it fits the work or the data rules.
The shift
A decision with reasons behind it.
How it usually runs
- Tools chosen from whichever demo landed best
- Overlapping subscriptions across departments
- Security and data questions raised after signing
- No way to revisit the decision later
How it could run
- Options scored against the work that matters
- One stack, with the overlap removed
- Data, security, and exit terms checked up front
- A written record of why this choice was made
What selection covers
A short, defensible shortlist.
Real comparison
Capability, fit, total cost, and where each option falls short.
Risk and data review
Where data goes, who can see it, and what happens on the way out.
The written decision
The recommendation, the reasoning, and the rollout plan.
How selection works
Requirements, then options, then a decision.
01
We define what the work requires.
02
We narrow the market to real candidates.
03
We test the shortlist against your cases.
04
We document the decision and the rollout.
Have something in mind?