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Project Cafe Technologies
Five services, one per stage of the brew. Each runs on its own, or all five run together as one engagement. Start where it hurts.
Before anything gets designed, we taste what's already there — the team, the data, the support tickets. You leave with a scope and a number, not a proposal deck.
What to build first, what to retire, what to leave alone — every move sized against revenue, risk and the team you actually have. Then the infrastructure to carry it.
Flows and structure settled before a line of production code. We map the real journeys — including the ugly ones where things fail — so the build has nothing left to guess.
Seniors only, working in the open. Sprint one starts in week two and a running build lands every Friday — not a status update about a build.
Launch is the start of the engagement, not the end. Releases, monitoring and audit evidence collected continuously, so the audit becomes a report you run.
AI isn't a stage — it runs through all five. We build agents that do real work, video that ships at volume, and copilots that sit on your own data. Not demos in a separate tab.
Agents that actually do the job — triage support tickets, qualify leads, chase invoices, run back-office workflows end to end with a human checkpoint where it matters.
Tool use · Guardrails · Audit logProduct explainers, training modules and ad variants generated at volume. Script to finished cut, with avatars, voice and subtitles localised across languages.
Avatars · Voice · 20+ languagesAn assistant that knows your documentation, your catalogue and your policies. Retrieval-grounded, so every answer cites the source it came from.
RAG · Citations · Your data stays yoursInvoices, contracts, claims and forms read, extracted and routed. The pile that eats your team's week, handled before Monday lunch.
OCR · Extraction · Human reviewDemand forecasts, churn scores, anomaly detection and pricing models — trained on your history and wired into the tools your team already opens.
Forecasting · Scoring · MonitoringWhere AI pays off, where it doesn't, and what could go wrong. Evaluation harnesses, red-teaming and a policy your legal team can actually sign.
Evals · Red-team · GovernanceEvery AI engagement starts with a two-week pilot on one real workflow. If the numbers don't move, we say so and stop.
How we charge
A flat fee for the strategy engagement. If you take the roadmap elsewhere, that's fine — it's yours.
Fixed-price phases against the scope discovery produced. Change requests re-priced in writing first.
A monthly co-managed team for run-and-scale, reviewed quarterly against cost and performance.
Next step
45-minute consult with the strategist who'd run it. You leave with a written scope, free, whatever you decide next.
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