AI Automations & Agents — orchestrated workflows for sales, support, and operations (inboxes, tickets, route & reply, summarise, escalate).

Document Intelligence (RAG) — secure knowledge layers for SOPs, contracts, and service docs with enterprise search and traceable answers.

CRM & Back‑office Copilots — assistants that prep briefs, draft replies, update records, and push tasks through pipelines.

Data & Integration Layer — APIs, webhooks, server‑side events, and clean logs so systems stay observable and compliant.

We don’t sell generic “AI transformation”.

We don’t replace your core systems with hype tools.

We don’t promise magic; we ship measurable improvements.

Focus keeps outcomes sharp.

Discovery (Week 0–2): map process, data sources, risks, and KPIs.

Pilot (Week 3–6): minimum working agent/workflow in production for one team/use case.

Scale (Week 7–12): generalise, add guardrails, dashboards, handover playbooks.

Every step is instrumented. If it doesn’t move a KPI, it doesn’t move forward.

Model‑agnostic: choose models for fit and cost/performance, avoid lock‑in.

Composable architecture: small services, queues, and robust retries.

Observability: metrics, traces, red/green dashboards for business and tech.

A compact group of AI engineers, data/attribution analysts, and integration specialists. We work in short sprints, write things down, and deliver weekly progress you can verify.

Selected credentials by the founder:

IBM iX – Generative AI Engineering (program)

IBM Developer Skills Network / Coursera digital badges:

Generative AI: Prompt Engineering

Generative AI Essentials

Python for Data Science and AI