Platform advisory
The right platform. At the right cost.
Members of both partner networks and independent in practice, we instruct your platform choice like an architecture case: evidence, numbers, benchmarks on your data.
What you get
A platform choice decided on evidence
Four deliverables that let you decide on the numbers, not the hype.
Decision matrix
Your use cases scored criterion by criterion — quality, cost, latency, compliance, reversibility — with a weighting we own and document.
Three-year TCO
Licences, token consumption, integration, operations and training: the full cost of each scenario, not just the sticker price.
Benchmark on your data
Candidate models tested on your real documents and tasks, with a reproducible evaluation grid — not on public leaderboards.
Deployment roadmap
The recommendation turned into an execution plan: waves, integration prerequisites, usage governance and value milestones.
FAQ
Frequently asked
Is the advice independent if Hunter BI partners with both networks?
Yes — and that is precisely the point: we know both ecosystems from the inside, with no exclusivity and no pay tied to the final choice. The recommendation rests on reproducible benchmarks run on your data, whose grid and results you keep.
What is a multi-model strategy?
It means routing each use case to the model best suited on quality, cost and latency, rather than forcing one model everywhere: a frontier model for complex tasks, lighter models for volume, behind an abstraction layer that preserves your reversibility.
How do you cut the cost of an already-deployed AI platform?
The most profitable levers are auditing token consumption, prompt caching, right-sizing models per task and batch processing for deferred volumes. We commonly see substantial reductions without degrading the quality users perceive.
How long does a platform assessment take?
From a few weeks for a focused scope to about two months for a full multi-entity assessment. It delivers the decision matrix, the compared TCO, the benchmark results and the roadmap — enough to decide in the boardroom on the evidence.
Which AI platform is right for you?
OpenAI, Anthropic, or both — costed side by side on your data. Let's frame the decision.