AI Implementation Sprint · 3-4 weeks

For businesses that need an actual working AI-enabled process · not just advice, not just a chatbot, not just a small fix.

Multi-system AI sprint. Up to 3 connected tools, one workflow map + build + testing + handover. 3-4 weeks. £1,495 inc VAT total — 50% deposit (£747.50) today, balance £747.50 on completion. For larger multi-workflow programmes (4+ tools, 5+ weeks), AI Systems Partner (£295/mo) is the right next step.

£1,495 50% upfront · 3-4 weeks · inc VAT
The problem

Past the prototype, before the platform.

  • 01

    You don't need advice or a strategy deck · you need an actual working AI-enabled process integrated into the systems you already use.

  • 02

    A single Zap or chatbot doesn't go far enough. You need 3 tools talking to each other, with AI in the middle doing the judgement work.

  • 03

    Big-AI-agency quotes start at £6,000 for the same scope · and arrive in 6-12 weeks instead of 3-4.

  • 04

    You've tried piecing it together internally · and the work that should take 3 weeks of focused build is now 4 months of half-attention drift.

What you get

Three to four weeks. One real system.

You name the multi-system process · cross-tool data sync, lead enrichment + qualification + routing, document processing + filing + summary, customer research + outreach prep · anything that genuinely needs 3 connected tools and AI in the middle.

Mode designs the workflow architecture, builds it, tests it across edge cases, integrates it into your live stack, and hands it over with documentation. Production-grade · designed to keep working when the edge cases hit.

What's included
  • Workflow map · current and target state, end-to-end
  • Architecture decisions · which tools, which AI models, where the human stays in the loop
  • Build + integration · up to 3 connected tools, all the API plumbing
  • AI layer · prompts engineered, evaluated, refined against real cases
  • Edge case handling · what happens when the AI gets it wrong, when an API fails, when a tool changes
  • Quality control · evaluation criteria, monitoring, fallback logic
  • Documentation · written guide your team can run from
  • Handover session · 60 minutes, recorded
  • 30 days of post-launch tuning · we refine based on real outputs
How it works

Four weeks. Properly built.

Week 1 Map

Current state mapped. Target state defined. Architecture decided. Tools confirmed.

Week 2 Build

Core build · APIs wired, AI layer prompted, first end-to-end test passing.

Week 3 Refine

Edge cases handled. Quality control built in. Monitoring + fallback logic.

Week 4 Handover

Production deploy. Documentation. Handover call. 30-day tuning window opens.

Ready to start

AI in production
in four weeks.
£1,495.

£1,495 inc VAT · 50% upfront · balance on completion · 3-4 weeks · up to 3 connected tools, one workflow built, tested, deployed and documented. The right scope for a real AI-enabled process before you need a retainer.