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Flowmoco: Helping businesses connect systems and see the bigger picture
Sitting at the heart of Newquay’s growing tech scene, the Flomoco team shows how smart, human‑centred software can change the way organisations use their data. They work with clients of all sizes, from global companies to small Cornish businesses. Their focus is on linking systems, creating useful insight tools, and helping companies get more value from the data they already have. With a strong focus on outcomes and practical uses of AI, Flowmoco helps teams work smarter, make better decisions, and turn information into real business growth.
What does outcome‑oriented mean?
For Flowmoco, outcome‑based development starts before coding or system design. – It involves understanding the business, identifying the change the client wants to achieve, defining measurable success, and only then building the application. – Real value is seen at the end—when the delivered product demonstrably impacts results.
Why invest in digital tools?
There are two primary reasons:
- Insight – Using AI to extract meaning from existing data, enabling better decision‑making and visibility.
- Automation – Using AI to remove mundane or repetitive tasks so people can focus on more meaningful work. He emphasises that AI is not about replacing humans—but augmenting them.
Example: A recruitment agency spent half their day manually opening CVs, extracting key information and entering it into their CRM. Flowmoco automated this, freeing staff to focus on higher‑value work.
What are the risks and opportunities involved in AI?
Kevin highlights two main barriers:
- Understanding the limitations of AI – Projects fail when expectations and scope aren’t aligned with what AI can realistically deliver.
- Being “data‑ready” – Some businesses aren’t prepared for AI because: – Their data isn’t collected frequently enough – It’s incomplete or poor quality – Their infrastructure isn’t mature enough AI projects often reveal deeper structural issues that must be addressed first.
What does an AI project look like in practice?
A current project with a Southwest manufacturer is seeing Flowmoco work on deploying AI models inside the business’s existing ERP and CRM systems to Enable natural‑language querying of customer and product data and delivering actionable insights that directly support business growth This work happens within the client’s own infrastructure, using their existing data to drive improvement.
What advice would you give to businesses exploring AI?
Start small. Even large clients begin with a contained pilot that delivers measurable impact. Choose a specific part of the business that would benefit from AI-driven automation or insight. Measure outcomes. Define success clearly and validate progress with each delivery. Don’t be intimidated by complexity or cost. AI adoption can be gradual and scalable.
Flowmoco’s story reminds us that meaningful innovation doesn’t come from hype.
It comes from clear thinking, practical action, and steady improvements that help businesses use their data more effectively. By focusing on real outcomes and human‑centred technology, Flowmoco shows how AI and smart software can create genuine value—one thoughtful step at a time.
