Org42. Consulting & Advisory Consulting & Advisory
1

Discover

Understand business goals, AI readiness, and the opportunities hidden in your ecosystem.

2

Design

Shape tailored strategies and integration patterns that fit your data, your stack, and your people.

3

Deliver

Build, deploy, and harden solutions — moving from prototype to production with confidence.

4

Enable

Transfer knowledge so your team owns the outcome and keeps evolving long after we're gone.

What each phase looks like

From conversation to capability — in four deliberate moves.

Phase 1 · 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.

  • Stakeholder & user interviews
  • Data & system landscape audit
  • Use-case longlist with ROI sizing
  • Readiness & risk heat-map
Phase 2 · 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.

  • Reference architecture & pattern catalog
  • Model, data, and platform selection
  • Security, governance & compliance framing
  • Phased delivery roadmap
Phase 3 · 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.

  • Prototypes evolved into production code
  • CI/CD, evals, and guardrails baked in
  • Embedded with your engineering team
  • Pilot → general availability rollout
Phase 4 · 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.

  • Hands-on workshops on the live system
  • Runbooks & architectural decision records
  • Office-hours support during transition
  • Optional ongoing advisory retainer
Typical engagement

What a typical engagement with Org42. 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.

Principles

A few non-negotiables.

Vendor-neutral by default

We have favorites, but we have no commissions. Recommendations follow your context, not our partnerships.

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.

Org42. logo - AI-driven business transformation