flagship program · 8 weeks
Build an AI Operating System your organization actually owns.
Operationalize AI into how your team actually works. You end up with AI in production your people actually adopt and run.
OPERA methodology · governance by design · ROI measured, not promised
sec. 01 · promise
What the program delivers.
Build your AI Operating System, securely and governed.
Operationalize AI into your work instead of buying tools.
Get ROI you can put in front of a board.
AI that works in your context.
sec. 02 · challenge
Most organizations are stuck between awareness and adoption.
Tool Chaos
Independent adoption across departments. No shared standards, no coordination, no auditable trail. Every team reinvents the wheel.
Pilot Purgatory
Proofs of concept that never make it into production. Demos impress. Operations don't change.
Capability Gaps
No internal skills to operate, govern or maintain AI once the vendors leave the room.
sec. 03 · your questions
Questions leaders ask before they start.
If you've been circling AI adoption for a while, it's probably because of one of these. The program is built to answer all five.
We map how your organization works today, then score every opportunity by impact, effort and risk. By the end of week one you have a ranked plan and a clear go decision.
Governance is designed in from day one, sized to your actual risk rather than imposed as blanket zero-trust. You get an AI governance framework, secure-use guardrails and an auditable trail, anchored on OWASP GenAI, NIST and ISO/IEC 42001.
We measure a baseline before we build anything, then measure again after deployment. Every workflow carries a number: time recovered, quality improved, throughput increased or cost avoided. You get a final ROI report you can defend to a board.
We're vendor-neutral. Tool selection is driven by your context, your data, your constraints and your existing systems, then we integrate properly, rather than leaving you with a new stack nobody asked for.
Change management is a core workstream, and we train at two levels: AI Operators who build the solutions, and everyday users who work with them. Because your own people co-build, the AI arrives as something they made themselves.
sec. 04 · framework
A tool tutorial won't change how you operate.
Most AI training teaches a tool. A tool is obsolete in a year, and knowing it changes nothing about how your organization operates. The AI Accelerator is a formal adoption framework: we redesign the workflow first, then apply AI to it; we organize the data and knowledge so the AI has something real to work with; we integrate the tools into the systems you already run; we train both the people who build solutions and the people who use them; we manage the human side of the change; and we put a number on the result. We cover all six, because dropping any one is where adoption fails: a strong tool on a broken process, or a solution nobody adopts.
Workflow redesign
We fix the process first, then apply AI. Automating a broken workflow only makes it fail faster.
Training, at two levels
AI Operators who build and run solutions, and everyday users who work alongside them. Skip either and adoption stalls.
Tool integration
The right tools for your context, connected to the systems you already use, chosen vendor-neutrally.
Data & knowledge management
Your institutional knowledge organized so AI can actually use it. Without this, AI guesses.
Change management
The human side: addressing fear, building confidence, and making the new way of working stick.
ROI calculation
Baselines before, measurement after. You'll know exactly what it returned.
sec. 05 · system
What we build with you: your AI Operating System.
The framework that turns agentic AI into an orchestrator of work inside your organization, built on top of the AI you choose, so you're never locked to one provider. The inner ring is what the AI needs to act; the outer pillars are the capacities in your organization that make it scale.
AI
Knowledge
sec. 06 · operators
Train your AI Operators.
Give your domain experts the right tools to operationalize AI in their departments, and train the rest of the team alongside them.
Select
Pick your AI Operators, deep domain expertise, leadership, and change-management instincts.
Build together
Build as you learn: skills compound while real workflows ship.
Expand
Power up the whole team so adoption keeps spreading after we leave.
The Operator Certification Path
Selection rubric. Candidates are scored against five criteria, domain expertise, leadership, change-management skill, technical curiosity and availability, with a minimum of 10 out of 15 to be nominated.
Commitment. 20–30% of their time during the program, dropping to 5–10% afterwards to keep solutions running and improving.
Certification requires:
- 3+ workflows co-built during the program
- 1+ workflow led independently
- Delivering user training to their department
- Maintaining the playbook and knowledge base
- Running at least one optimization cycle
The path progresses Nomination → Co-Building → Supervised → Independent → Certification.
sec. 07 · journey
How the eight weeks run.
From a first read of how you work today to a capability that runs without us.
Discovery & alignment
Scope the engagement, align on goals and success metrics, and confirm the first two departments.
Assessment & go decision
AI Ignite (full or half day), an executive report, and a ranked opportunity plan with a clear go decision.
Operator crash course + build days
A half-day operator crash course and two department build days, ending with eight MVP workflows.
Security, governance & knowledge
An AI Security & Governance workshop, AI playbooks, and the knowledge base that grounds every workflow.
Change management & onboarding
A change-management session and user onboarding so the new way of working actually sticks.
Refinement & integration
Refinement sprints, an ERP/API integration track, an adoption assessment and live ROI tracking.
Scale & handover
A scaling playbook, full handover, and a maturity re-assessment against where you started.
Adoption & ROI review
A 30-day check-in on adoption and ROI, and a proposal for the next departments to enable.
sec. 08 · what you walk away with
You leave with working operations.
Section 04 is the ground the program covers. This is what's in your hands at the end of it.
Knowledge & Data System
Your institutional knowledge organized and ready for AI to use.
Integrated AI Tooling
ChatGPT, Claude and Gemini connected into the systems you already run.
Trained AI Operators
Certified domain experts who build and run solutions after we leave.
Departments Enabled
Two departments operating with AI woven into how they work.
Change-Management Methodology
A repeatable way to bring the next team along without the fear.
AI Governance Strategy
Guardrails and an auditable trail sized to your actual risk.
sec. 09 · the result
You finish with AI running in production, trained operators, and the playbooks they maintain.
sec. 10 · how to start
Not ready for eight weeks? Start smaller.
AI Ignite Workshop
Leaders in a room, live demos on your own use cases, a structured opportunity-mapping session, a prioritized roadmap and a go/no-go. The natural first step.
See AI IgniteAI Starter
A half-day platform tutorial plus a full day with your teams, up to four workflows built and usable the same day, and you learn to measure their ROI.
Ask about AI Startersec. 11 · what's included
Everything, and what happens after.
During the program
- Live demos on your real use cases
- Weekly co-building sessions with your operators
- Async support over Slack throughout
- QA and coaching on every workflow
- End-user training for the wider team
After the program
- A 30-day check-in on adoption, KPIs and ROI
- A performance review against the baseline
- An expansion proposal for the next departments
- Independent operation by default, no lock-in
- Optional advisory retainer or expansion engagement
sec. 12 · why Arxia
Why teams run this with us.
You end up with working operations you can run.
We build real workflows into production and train the people who keep them running, the capability stays when we leave.
Governance that keeps you moving.
Guardrails sized to your actual risk, anchored on OWASP GenAI, NIST and ISO 42001, so you can adopt AI with confidence.
Delivered by a team that has worked at national scale since 1996.
The same people who have built digital infrastructure for governments, banks and international organizations.
in good company
Trusted by organizations from all over the world.
sec. 13 · questions
Practical questions
Eight weeks end to end, first assessment through handover, plus a 30-day check-in afterwards to review adoption and ROI against the baseline.
A sponsor to unblock decisions, two to four domain experts to become your AI Operators, and the teams whose workflows we're improving. No technical staff required.
That's the common case. The program meets your team where they are and builds capability from the ground up. Most begin with a one-day AI Ignite.
Governance and security are built in from week one, sized to your actual risk and anchored on OWASP GenAI, NIST and ISO/IEC 42001.
Yes. Everything we build is yours, the workflows, the documented playbooks, the knowledge base and your trained, certified operators. The capability stays when we leave.
next step
Start your AI Accelerator.
Tell us how your team works today and what's slowing it down. We'll scope the first two departments and the workflows worth building, and where governance matters most.