— AI Implementation · Pillar one —

AI that works on Tuesday morning.

Operational AI built for override, not against it. We frame the pain, pick the right place for the LLM, and ship in weeks not quarters.

Book an AI audit →or — read our manifesto

— 01 / Selected AI work —

Four cases. Real numbers. Real architecture.

US WHOLESALER · 2025 · ANONYMIZED

Vendor onboarding, weeks to hours.

GPT-4o pipeline mapping inconsistent supplier files into a 120-column Acumatica master. Humans approve only the edge cases.

GPT-4o · Python 3.11 · Pandas · Pydantic · n8n · PostgreSQL · Acumatica

Read the vendor-AI case →

60–75%effort reduction
per vendor onboarded

Weeks → hours cycle
120-column Acumatica master
80% automation target
284h scoped engagement

RETAIL SHELF · NATIONAL CHAIN · 2025 · ANONYMIZED

Per-store, per-shelf recommendations in seven days.

A national retail chain owner said: "Tell me what to put on each shelf, in each store, in the country." We translated that into a concrete optimisation surface — sell-through, freshness, category interaction — wrapped in an approvable dashboard so store managers stay in charge and override behaviour becomes data.

GPT-class LLM · Python · KPI ingestion · approvable dashboard

Read the retail-shelf case →

7 daysvague brief →
working PoC

Per-shelf, per-store
Human-in-loop design
Override-as-data feedback
Generalises to any SKU

NAVON · MULTI-MODAL COMPLIANCE · 2025—NOW

60+ policy categories. Text, images, async video. One LLM call.

A regulated US user community needed real-time compliance scoring across text, images, and async video. We chose not to train a separate classifier. Instead: an LLM-as-policy-engine pattern — master prompt plus DB-stored per-user preferences. Single call returns answer plus structured compliance JSON across 60+ categories.

GPT-class LLM · Node.js · PostgreSQL · REST + Swagger · WebSocket

Read the Navon case →

60+policy categories
scored per call

Two delivery teams
One interface contract
Parallel sprint cadence
Lead architect

SKARB.AI · KCG PRODUCT · 2025—NOW

Production GraphRAG family archive. Shipped solo in ten weeks.

Built for ourselves so we know what shipping production AI actually takes. GraphRAG-style hybrid retrieval, voyage-3-large 1024d multilingual embeddings, pgvector + HNSW, smart routing, encrypted memory, eval harness that killed BM25+RRF and parked Cohere reranker.

GPT-4.1 / 4.1-mini · voyage-3-large · pgvector · Supabase · React · Capacitor

Read the Skarb.ai case →

10 weeksstart to shipped
web + iOS + Stripe

53 screens · 23 tables
15 edge functions
2,714 tests
EN / RU / PL trilingual

— 02 / How we approach it —