Anyone can add a chat box. Shipping AI that users open again next week is a different problem — one that mixes product craft, evaluation and honest UX.
Ship AI features that materially move activation, retention or revenue — with a delivery cadence and quality bar that fits how your product team already works.
A short list of AI bets tied to a business metric — activation, retention, expansion — not novelty.
UX that communicates what the AI can and can't do, so trust compounds instead of erodes.
Golden sets, LLM-as-judge and A/B eval loops your PMs can actually read.
Prompt, model and pipeline changes shipped weekly, not quarterly.
Contextual copilots that use your users' data, not a generic chat box.
Dynamic explanations, summaries and recommendations woven into existing screens.
Hybrid semantic + keyword search with citations, filters and reranking.
Multi-step agents for onboarding, setup, migration and repetitive user tasks — with human checkpoints.
Users try it once, never return. Solved with real usage instrumentation and evaluation, not vanity demos.
Wrong answers break brand. Solved with citations, confidence, guardrails and honest UX.
50 prompts, no owner, no versioning. Solved with a prompt registry and eval-per-change.
AI features shipped, then abandoned. Solved with post-launch review gates tied to retention.
Score AI opportunities against retention, activation and revenue impact; pick the flagship bet.
Ship a working MVP behind a flag with a golden set, eval harness and clear success KPIs.
Roll out via experimentation, watch retention and CSAT, iterate weekly.
Production-grade GPT, Claude, Gemini and open-source LLMs — grounded in your data.
Explore serviceCustom AI chatbots trained on your data — web, WhatsApp, Slack and beyond.
Explore serviceMulti-agent architectures that plan, use tools and complete complex tasks.
Explore serviceHuman-sounding AI voice agents for inbound and outbound calls at scale.
Explore serviceCustom vision models for quality control, retail analytics, medical imaging and more.
Explore serviceYes. Our squads slot into your ceremonies, planning and demo cadence — with weekly working software as the default.
We stand up golden sets and LLM-as-judge evals per feature, track them alongside product analytics and treat them as gate criteria for rollout.
Yes. Our teams pair PMs and designers with AI and full-stack engineers — critical for AI UX where model behaviour and interface are inseparable.
We start from the user's job-to-be-done. Sometimes that's a copilot, often it's inline generation, summarisation, ranking or agentic automation without a chat surface at all.
Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.