— For leadership
AI Literacy for Executives
A no-hype briefing on what AI can do, what it can't, and which questions to ask your teams and vendors.
Services
Three ways
we partner.
Three services that stand alone or combine. Pick the one that matches where you are.
End-to-end AI delivery, from idea to production.
Our flagship engagement. We work the whole arc: finding the right use case, designing the system, building it, and getting it into production.
You bring the business problem. We bring the pattern library and the engineering judgment to ship something that holds up after launch.
What's included
- Use-case discovery & ROI sizing
- Reference architectures (RAG, agentic, fine-tuning)
- Data pipelines & retrieval design
- Model selection & vendor evaluation
- Prototype → pilot → production delivery
- MLOps, observability & guardrails
- Change management & stakeholder alignment
An independent voice at the table.
Sometimes you don't need a builder, you need an outside read. Someone who has seen this before and can help you decide what to do next.
We assess where you actually are, flag the capability gaps that matter, and write up a 12–24 month roadmap your CFO and CTO can both sign off on. Vendor-neutral. No referral fees.
Typical deliverables
- AI maturity assessment report
- Capability & data-readiness gap analysis
- Prioritized 12–24 month roadmap
- Vendor & platform recommendations
- Executive briefings & board-level narratives
- Governance, risk & compliance framing
- Build-vs-buy analysis per initiative
Training that sticks, taught by people who build.
Programmes shaped to your audience, your tools, your data. Online or on-site. Topics range from board-level AI literacy to deep LLM engineering and multi-agent design.
Built on 20+ years of teaching engineers. Workshops are working sessions, not demos: people leave with patterns and code they can use the next day.
Program offerings
— For engineers
LLM & Prompt Engineering
Hands-on: model selection, prompt architecture, retrieval pipelines, evaluation, and production observability.
— For architects
Multi-Agent Systems
Design patterns for orchestrating multiple agents safely and deterministically in real enterprise contexts.
No. 04 — Open source
Products from Org42.
Two open-source projects. Both came out of client engagements where we needed a tool that didn't exist yet. Fork them, run them, change them.
— Product 01 / Gateway42
Gateway42.
An auth gateway that puts your local Ollama models behind a production-ready API. Inference stays on your hardware. Applications still see an OpenAI-compatible interface.
Use the OpenAI SDKs and tools you already have. Keep the data on your side of the wire. No external calls, no data leaving the building.
OpenAI-compatible
Per-user auth
Audit logging
Single binary
— Product 02 / Chat42
Chat42.
A native macOS chat client. Download open-source models, run them on your Mac fully offline, or hit a cloud provider when you need the extra horsepower.
Run local on Apple Silicon when privacy or cost matter. Switch to a cloud model for the work where raw compute helps. Same UI either way.
Native macOS
Apple Silicon
Local + cloud
Privacy-first
Next step
Not sure which engagement fits your needs?
Book a free 30-minute call. We'll help you work out whether you need advisory, implementation, or enablement. And we'll tell you if the answer isn't us.