The AI implementation process at ajairu.ai follows four steps: discovery and audit (1 to 2 weeks), strategy and roadmap (3 to 5 weeks), build and implement (6 to 12 weeks), and training and handover with 30 days of support. Each stage is self-contained and fixed-price, so you can stop at any point with full ownership of what has been delivered.

Four Steps, Each With Something to Show for It

A report, a roadmap, a working system. Never just slides. Refined through enterprise AI projects, adapted for SME timelines and budgets.

1

Discover

We learn your business, operations, tech stack, team, and goals. No assumptions, no templates.

2

Diagnose

We identify where AI creates real value, and where it doesn't. Honest about what AI can and can't do.

3

Design

We architect the solution: which tools, how they integrate, and what the rollout looks like.

4

Deliver

We implement, train your team, and stay for 30 days of support. You own the result.

Step 1, Week 1

Discover: See Your Business Clearly

Every engagement starts with understanding your business, not our technology. We don't walk in with a template, we build the picture from scratch.

  • ✓ Interviews with leadership and key team members
  • ✓ Audit of your current tech stack and software ecosystem
  • ✓ Workflow mapping, how work actually gets done (not how it's documented)
  • ✓ Data landscape review, what data you have, where it lives, quality
  • ✓ Team readiness assessment, skills, attitudes, concerns
  • ✓ Business goals and constraints, what success looks like for you

Output: A baseline understanding document that everything else builds on. You review and approve it before we move to diagnosis.

Step 2, Weeks 1-2

Diagnose: Know Where AI Pays Off, With Numbers

Using what we learned in Discover, we map your workflows against AI capabilities to find where the real value is, and where it isn't.

  • ✓ Workflow-by-workflow AI opportunity assessment
  • ✓ ROI estimates for each opportunity (time saved, cost reduced, revenue gained)
  • ✓ Difficulty and feasibility scoring, what's easy, what's hard, what's not worth it
  • ✓ Quick wins identified (things you can act on in days, not months)
  • ✓ Compliance and data risk assessment for each opportunity
  • ✓ Honest "don't bother" list, things that sound good but won't deliver

Output: A prioritised AI Opportunity Report with ROI estimates. This is the core deliverable of the AI Opportunity Discover.

Step 3, Weeks 2-4

Design: A Plan Your Team Can Actually Run

For opportunities worth pursuing, we design the full solution: which tools, how they connect, and how we roll them out without disrupting your business.

  • ✓ Tool selection and configuration tailored to your workflows
  • ✓ Design vs buy analysis for each component
  • ✓ Integration architecture, how AI connects to your existing tools
  • ✓ Data flow design, where data moves, how it's protected
  • ✓ 90-day implementation roadmap with clear milestones
  • ✓ Team training plan, what skills, who needs them, when
  • ✓ Success metrics, how we'll measure impact

Output: A complete AI Diagnose & Roadmap document. This is the core deliverable of the Diagnose engagement.

Step 4, Weeks 4-12

Deliver: Working Systems, Trained Team

This is where most consultants stop. We don't. We implement the plan, connect everything to your tools, train your people, and stay for 30 days after launch.

  • ✓ AI system configuration and setup
  • ✓ API integrations with your existing tools (CRM, accounting, comms, etc.)
  • ✓ Workflow automation setup
  • ✓ Security and compliance implementation (GDPR, data residency)
  • ✓ Team training sessions (group + 1:1)
  • ✓ Full documentation, system docs, user guides, troubleshooting
  • ✓ 30-day post-launch support, we're there when things go live
  • ✓ Performance monitoring setup and handover

Output: Working AI systems, trained team, full documentation, and self-sufficiency. This is the Implementation engagement.

When You See Results

Day 0 to working systems in 4-12 weeks, stoppable at every stage. Every project is different, but here's what the process typically looks like.

Day 0

Free 30-min discovery call. We discuss your business and whether AI makes sense.

Weeks 1-2

AI Opportunity Discover. Discover + Diagnose. You get your prioritised opportunity report.

Weeks 3-5

Diagnose & Roadmap. Design phase. You get your 90-day implementation plan.

Weeks 6-12

Implementation. Deliver phase. Working AI systems, trained team, 30-day support.

You can stop at any stage. The audit is self-contained. The strategy is self-contained. No lock-in.

Why You Won't Waste Money

It de-risks your investment: £750 to find out, not £15,000. Stoppable at any point. Built for real teams running a 10-250 person business.

De-risks Investment

The £750 audit tells you whether AI is worth it before you spend £15,000. You make informed decisions at each stage, not blind leaps.

Stoppable at Any Point

Each phase delivers standalone value. If the audit shows AI isn't right for you yet, you've spent £750, not £30,000. No pressure to continue.

Built for Real Teams

Your team isn't a data science department, and that's fine. The process works with the skills you have and builds the skills you need.

Find Out Where AI Pays Off in Your Business

Book a free 30-minute call. You leave with a direction, whoever you use.