flagship program · 8 weeks
Transform your company in 8 weeks using Agentic AI
Train your people, implement your first AI tools, and develop a business architecture to sustain it.
OPERA methodology · governance by design · ROI measured, not promised
Claude
Gemini
Excel
Outlook
Copilot
Drive
sec. 01 · promise
What the program delivers.
A controlled adoption methodology for your organization.
A change and people strategy for implementation.
Your first AI tools integrated into your workflows.
Your team's AI playbook to scale AI operations.
sec. 02 · how it works
The OPERA Methodology.
We take 2 departments from your organization and put them on a path to AI adoption with a comprehensive method.
Open each phase to see what you get.
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What you get
- A full assessment of your organization's current AI readiness
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What you get
- AI stack recommendation
- Data-gap identification
- Integration improvements and opportunities
- Priority departments to engage in the program
- Priority workflows to improve with AI
- ROI calculator
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What you get
- Workshops and training for the target teams
- A people and change management strategy
- Focused knowledge and data management
- AI tools implemented in day-to-day tasks
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What you get
- ROI calculation
- Adoption level assessment
- Recalibration
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What you get
- AI playbooks for each department
- Final results
- A roadmap to a full-scale AI transformation of the company
sec. 03 · playbooks
Your team's AI Playbooks.
Build and document your organizational playbooks for the use of AI in each department:
- Your AI stack
- Your AI-powered workflows
- Your governance and security guidelines
- Your data and knowledge management standards
- Your integrations and automations
- Your skills and plugins
- Your people and change management strategy
AI
Knowledge
sec. 04 · 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. 05 · journey
How the eight weeks run.
From a first read of how you work today to a capability that runs without us.
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Pre-program
Discovery & alignment
Scope the engagement, align on goals and success metrics, and confirm the first two departments.
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Week 1 Observe and Prioritize
Assessment & go decision
AI Ignite (full or half day), an executive report, and a ranked opportunity plan with a clear go decision.
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Week 2 Execute: build
Operator crash course + build days
A half-day operator crash course and two department build days, ending with eight MVP workflows.
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Week 3 Execute: foundations
Security, governance & knowledge
An AI Security & Governance workshop, AI playbooks, and the knowledge base that grounds every workflow.
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Week 4 Execute: adoption
Change management & onboarding
A change-management session and user onboarding so the new way of working actually sticks.
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Weeks 5–7 Refine
Refinement & integration
Refinement sprints, an ERP/API integration track, an adoption assessment and live ROI tracking.
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Week 8 Advance
Scale & handover
A scaling playbook, full handover, and a maturity re-assessment against where you started.
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After · 30 days
Adoption & ROI review
A 30-day check-in on adoption and ROI, and a proposal for the next departments to enable.
sec. 06 · 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 Starterin good company
Trusted by organizations from all over the world.
sec. 07 · questions
Questions leaders ask before they start.
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.
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.
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.