You’ve built a business case—now it’s time to put it into action.
AI Proof of Concept and Pilots
This focused engagement helps you implement and evaluate one AI use case inside your business using no-code or low-code tools. It’s designed for teams who want to prove AI's value before committing further.
The Value of a Targeted AI Proof of Concept
Most organisations don’t need more AI ideas—they need proof that one of them works in their environment. ✅ Leadership needs real-world results We generate pilot data—time saved, cost reduced, or accuracy improved. ✅ Teams need a safe place to learn We implement using tools your teams can understand and manage. ✅ Strategy alone won’t drive value Pilots test assumptions, surface blockers, and give you what a slide deck can’t: operational proof. ✅ You need to decide where to go next We deliver evidence to inform scale-up, rework, or move on. This engagement is designed to move fast. In a matter of weeks, you’ll know what works, what doesn't, and what to do next.
By the end of this workshop, you will have:
A Live, Tested AI Use Case deployed in your workflow. Real Results across time, accuracy, process, or quality metrics. A Pilot Summary to support business decisions on further investment. An Internal Capability Baseline showing how ready your team is to own AI operations. Confidence to scale—or choose a new direction—based on real execution. This is not about ideas. It’s about proof.
Who Is This AI Pilot For?
This engagement is for companies that have already explored where AI fits—but haven’t tested it in action: - Strategy & Transformation Leads – Looking to de-risk next-phase investments. - Ops, HR, Finance, and Customer Teams – Wanting to trial AI in day-to-day work before committing. - Digital and Data Leaders – Needing to validate tools, readiness, or resourcing. If you’ve already built momentum on AI, this is how you maintain it. If your company is considering AI but hasn’t tested anything practical yet, this proof of concept offers a fast, low-risk entry point.
AI Proof of Concept and Pilot
This structured 4 week engagement will guide you through:
Phase 1: Select Your Pilot Use Case
Choose a scoped, realistic use case with a defined business problem. Examples include internal chat agents, task automations, or report generation.
Phase 2: Configure the Working Solution
We use low-code/no-code platforms to implement the solution within your existing tools. Includes configuration, testing, and basic team onboarding.
Phase 3: Execute and Measure
Run the pilot live inside your workflow. Measure time savings, output quality, and process impact.
Phase 4: Analyse Outcomes
We assess feasibility, adoption barriers, and scalability potential. You receive a summary of performance data and learnings.
Phase 5: Make the Next Decision
Scale the solution, adapt it, or move to another use case. We provide recommendations based on what was proven—and what wasn’t.
This is a hands-on pilot to help you make smart, evidence-based decisions about your next step in AI adoption.
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