Customer and job discovery
Interviews and usage analysis that separate the AI features customers ask for from the ones they will renew for.
Discovery & Strategy
Ship AI your customers will pay for, not just notice.
The problem we solve
Adding AI to a commercial product changes positioning, pricing, support and margin at the same time. We work with product and commercial leaders to decide what the feature is worth, what it costs to serve, and how it is packaged before engineering commits.
Interviews and usage analysis that separate the AI features customers ask for from the ones they will renew for.
Seat, usage, credit and outcome-based models tested against willingness to pay and inference cost.
Token, retrieval and support costs per account so gross margin is a decision input, not a year-end surprise.
A clear read on what rivals ship, what they claim, and where a defensible difference actually exists.
Sequenced releases with entry criteria, evaluation targets and the trust signals each one needs.
How the engagement runs
Customer interviews, usage data review and commercial baseline.
Pricing options, cost-to-serve scenarios and margin sensitivity.
Roadmap, positioning and a go-to-market plan signed off by product and sales.
Common questions
Related practices
Portfolio shaping, value cases, investment sequencing and the operating model that keeps delivery accountable to the CFO.
ViewA fast, process-level sweep that sizes value pools in currency and separates the fundable from the fashionable.
ViewStructured evaluation of models, platforms and partners against your workloads, residency rules and cost envelope.
ViewA 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.