Vendor-neutral by default
We have favorites, but we have no commissions. Recommendations follow your context, not our partnerships.
Our approach
A phased rhythm, built to move fast without cutting corners.
Every Org42. engagement follows the same backbone. It keeps work honest, surfaces risk early, and ensures your team owns the outcome.
Phase 01 / Discover
Listen first,
then frame.
We meet your stakeholders, map the value chain, audit the data, and stress-test the ambition. The output is a shared, plain-English understanding of where AI can move the needle — and where it can't yet.
Understand business goals, AI readiness, and the opportunities hidden in your ecosystem.
What this looks like
- Stakeholder & user interviews
- Data & system landscape audit
- Use-case longlist with ROI sizing
- Readiness & risk heat-map
Phase 02 / Design
Architect for
the real world.
We translate the prioritized opportunities into reference architectures, integration patterns, and a delivery plan. Vendor-neutral by default, opinionated where it matters.
Shape tailored strategies and integration patterns that fit your data, your stack, and your people.
What this looks like
- Reference architecture & pattern catalog
- Model, data, and platform selection
- Security, governance & compliance framing
- Phased delivery roadmap
Phase 03 / Deliver
Ship something
that runs on Monday.
We build, integrate, and harden — alongside your engineers, not in a sealed room. Every iteration ends with something deployable, observable, and reviewable.
Build, deploy, and harden solutions — moving from prototype to production with confidence.
What this looks like
- Prototypes evolved into production code
- CI/CD, evals, and guardrails baked in
- Embedded with your engineering team
- Pilot → general availability rollout
Phase 04 / Enable
Hand over the keys —
for real.
We train your team, document the patterns, and stage the knowledge transfer so we can step out without leaving fragility behind.
Transfer knowledge so your team owns the outcome and keeps evolving long after we're gone.
What this looks like
- Hands-on workshops on the live system
- Runbooks & architectural decision records
- Office-hours support during transition
- Optional ongoing advisory retainer
No. 05 — Typical engagement
What working with us
actually looks like.
Engagements vary, but here's a representative shape for a mid-sized initiative.
Discovery sprint
Stakeholder interviews, system & data audit, alignment workshop. Output: prioritized use-case list and shared mental model.
Design & roadmap
Reference architecture, vendor & model recommendations, governance framing, phased plan. Output: a roadmap your CFO and CTO both agree with.
Delivery iterations
Two-week iterations, each ending with a working slice — instrumented, evaluated, and reviewed alongside your team.
Enablement & handover
Workshops on the production system, ADRs and runbooks delivered, office hours scheduled. We leave — your team carries the work forward.
No. 06 — Principles
A few non-negotiables.
The commitments that shape every engagement, regardless of scope.
Production over prototypes
Demos are easy. We measure success in how reliably the system runs the day after we're gone.
Enablement is not optional
If your team can't operate it, it isn't done. Knowledge transfer is part of every engagement — not an upsell.
Honest about what AI isn't
We will tell you when AI isn't the right answer. There's plenty of work where it isn't.
Security and governance, baked in
Identity, audit, evaluation, and red-teaming are designed in from week one — not retrofitted at go-live.
Small team, deep skin in the game
You get senior people on every engagement. No layers. No bait-and-switch.
Let's talk
Curious how this rhythm fits your situation?
30 minutes is usually enough to figure out whether we're a fit. If we're not, we'll point you to someone who is.