WAINUT.ai
AI Menu
The refined path to AI-enabled working
A 5-course menu from strategic vision to tangible returns
Welcome
A word from the chefs
AI is not just a technology upgrade - it's the key ingredient that determines how organizations will work, decide, and grow in the coming years. But just like in a Michelin-starred restaurant, success isn't only about the ingredient. It's about the recipe, the timing, and the chef who knows when to serve each course.
This menu is our proven recipe. Five courses that take your organization step by step from vision to working results. Each course builds on the previous one, ensuring AI doesn't get stuck in pilots but truly lands on the work floor.
Bon appetit.
Seleman Arefi & Luciano Currie, founders WAINUT
The menu
AI-driven working
Our approach takes you in five focused steps from initial exploration to scalable AI solutions that deliver measurable returns.
A la carteTangible per courseTool-agnostic
CourseResultWhat you getTimeline
1. Discover & FocusAI compass & business caseUse-case longlist, ROI one-pager2 weeks
2. Check & FoundationReadiness score & risk registerData map, DPIA-light, improvement plan1 week
3. Build & ProveWorking pilot with ROI proofArchitecture, pilot, impact report6 weeks
4. Scale & AnchorProduction release & adoptionRunbook, training kits, dashboards4 weeks
5. Monitor & GrowContinuous improvement & complianceAI policy, monitoring, value reviewsOngoing
Course 1
Discover & Focus
Timeline: 2 weeks
What does AI-driven working mean for your organization?
- AI mindset sessions with management and key users
- Use-case scoring on value, feasibility, and risk
- Business case with scope, KPIs, and cost-benefit analysis
What you get
AI compass, prioritized use-case longlist, one-pager business case with ROI indication
Course 2
Check & Foundation
Timeline: 1 week
Demonstrate feasibility, eliminate risks
- Data audit and data landscape mapping
- Security and privacy quick scan (DPIA-light)
- Process fit and technical readiness assessment
What you get
Readiness score, data map, risk register, improvement proposals
Course 3
Build & Prove
Timeline: 6 weeks
From architecture to proven value on the work floor
- Reference architecture and build-buy-hybrid decision
- Working pilot with real users (4-6 weeks)
- Before-after measurement on time, errors, costs, and satisfaction
What you get
Architecture sketch, live pilot, impact report with ROI, Go/No-Go for production
Course 4
Scale & Anchor
Timeline: 4 weeks
From pilot to production, from tool to behavior
- Hardening, monitoring, and integrations for production
- Role-based training and AI champions network
- Prompt libraries, micro-tools, and adoption dashboard
What you get
Production release with SLOs and runbook, training kits, usage targets per team
Course 5
Monitor & Grow
Ongoing
Safeguard, improve, and add new use cases
- AI policy, RACI, audit trail, and AI Act compliance
- Model drift and bias monitoring, monthly risk review
- Quarterly Value Reviews, identifying new use cases and training or hiring internal AI lead
What you get
AI governance framework, monitoring dashboards, quarterly reports, roadmap for new use cases
Investment
Investment & Why WAINUT
A la carte
Choose individual courses that match your stage. Ideal if you already know where you stand and want to accelerate targeted.
Chef's menu
RecommendedAll 5 courses as a continuous program. Maximum coherence, sharper rate, and a dedicated team from start to finish.
Why WAINUT
Balance people and technology
Adoption and training are just as important as the technology itself.
Recipe stays in your hands
All knowledge, documentation, and tools stay with you. No vendor lock-in.
No theory, only results
Each course delivers a concrete, measurable deliverable.
Experience in diverse kitchens
From insurers to municipalities, from finance to logistics.
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