We deploy AI where it has an owner, a baseline and a number attached: support contacts deflected, documents processed, hours returned to a lean team. Grounded in your data, evaluated before launch, measured after.
Figures reflect results across CodeCafe deployments. Your baseline is measured before launch so the improvement is attributable.
Each is a production pattern we have shipped — not a research project. Most go live inside eight to twelve weeks.
Conversational assistants on your website, WhatsApp and Messenger, grounded in your documentation, catalogue and order history — answering from your data rather than improvising.
Triage, draft and resolve inbound tickets across email, chat and social, with confidence thresholds that decide when a human steps in.
Qualify inbound leads, answer product questions and book meetings around the clock, writing every interaction back to your CRM.
Document-heavy back-office work — invoices, KYC packs, claims, purchase orders — read, validated and routed without a manual queue.
AI-assisted drafting of product descriptions, social captions, ad variations and email campaigns — always edited by our studio before publishing.
Ask questions of your sales, marketing and operational data in plain language and get an answer with the query and source rows attached.
Agents that use your real tools and APIs to complete multi-step work, with permissions, approvals and a full audit trail.
Bring us the process that eats the most founder and team hours. We will tell you whether AI is the right tool for it — and what the honest payback looks like.
Most AI pilots stall because nobody agreed what good looks like. We fix that first — the evaluation set exists before the feature does.
Retrieval pipelines index your documentation, tickets and records so answers cite something real and stay current as content changes.
We build a scored evaluation set from your own historical cases, and no release ships if it regresses against the previous version.
Anything that writes, spends or contacts a customer runs behind explicit permissions and, where it matters, human approval.
Deflection, accuracy, latency and cost per interaction are on a dashboard from day one, not reconstructed at the quarterly review.
Models change every few months. Your product should not have to. We put a gateway between your application and whichever model serves it best today.
Our first AI engagement is deliberately narrow: one workflow, one measurable baseline, eight to twelve weeks. If it does not pay back, you have spent very little runway.