Buying AI Tools Won't Fix Your Business

I see this all the time with UK SMEs. They buy Copilot licenses, maybe a chatbot, definitely some Power Automate flows. Six months later, nothing's really changed. The reports still take the same time. The same people are still copy-pasting between systems. The AI is just sitting there like an expensive paperweight.

And now I know exactly why.

The numbers are brutal

BCG and McKinsey both dropped research on the same day in mid-July 2026, and they both landed on the same uncomfortable truth. Buying AI tools without redesigning your workflows delivers almost nothing.

BCG's findings on companies actually using AI agents properly are staggering:

• 3x productivity increase compared to earlier AI waves that just delivered 10-20%
• 80% reduction in cycle time
• 60%+ cost savings on agentic workflows

But here's the kicker. McKinsey's B2B Pulse Survey — nearly 4,000 companies across 13 countries — found that 71% of high-growth companies doubled their AI investment this year, compared to just 25% of laggards. The growth leaders aren't spending more because they have bigger budgets. They're spending more because they've already seen returns from redesigning how work gets done.

Layering AI on top of broken workflows just automates the complexity. You're not removing the mess — you're speeding it up.

The ambition-execution gap

BCG surveyed nearly 300 global CMOs and found something that'll sound familiar to anyone who's sat in a digital transformation steering meeting. 96% said AI is transforming their function. Only 31% have actually built the operating model to make it real.

That's not a technology gap. That's a "we bought the shiny thing but didn't change how we work" gap.

I've seen this dozens of times in manufacturing SMEs. You get approval for a Power Platform license. Someone builds a dashboard. Someone else sets up a flow. But nobody steps back and says: "Right, if we're putting AI into this process, what bits of the process need to change first?"

The result is what McKinsey calls "automating complexity rather than removing it." You've got an AI chatbot answering questions based on data that's still spread across three spreadsheets and someone's inbox. Proper nightmare.

What the winners are doing differently

McKinsey calls them "impact journeys" — end-to-end workflows where data, decisions, and AI agents work together across the whole process, not just one step of it. Think quote-to-cash, or procurement-to-pay, or production-planning-to-delivery. Not "we added AI to step 4."

The companies getting 3x productivity aren't smarter. They're just more honest about what needs fixing before the AI can do its job.

Practical takeaways for SMEs

• Pick one workflow, not ten. Don't try to AI everything. Pick the messiest, most manual process you've got — quote-to-cash, purchase approvals, month-end reporting — and map it end to end. Every step, every handoff, every spreadsheet.
• Fix the data before the AI. If your customer records have duplicates, your part numbers don't match across sites, and your supplier data lives in someone's head, no AI tool on earth will save you. Get the foundation sorted first.
• Redesign the workflow, then add AI. Strip out the steps that don't need to exist. Consolidate the data into one place. THEN layer on the automation, the agents, the dashboards. The ROI comes from the redesign, not the tool.

Look, I'm not anti-AI. Far from it. I run my entire business on AI agents. But the reason they work isn't because I bought good software. It's because I rebuilt the workflows around them first. That's the bit nobody wants to hear because it's not as exciting as buying a new tool. But it's the difference between 3x productivity and zero.

If your AI investment isn't paying off, it's probably not the AI. It's the workflow underneath it.

References & Further Reading

1. BCG, AI-First Enterprise Operations: Reinventing the Operating System of Work (July 2026)
2. McKinsey, 2026 B2B Pulse Survey — AI Investment and Growth Leadership (July 2026)
3. BCG, Scaling Enterprise AI Agents in Regulated Industries (July 2026)
4. Forbes, Going Beyond the Copilot: Enterprise AI Needs Orchestration (July 2026)

Sorting your workflows out?

I help UK SMEs get their data and processes in order before layering AI on top. Workflow redesign, data foundations, Power Platform, the lot.

Let's have a chat

Matty Hatton is the founder of Digital Adaption, an ERP and data consultancy based on the Wirral. He has spent 15 years delivering ERP transformations for manufacturers, including leading the data migration on a £4.5m consolidation of four legacy systems onto a single Infor LN cloud instance for a 220-user group. He holds an MSc in Digital Transformation and IT Strategy from Manchester Metropolitan University and is Microsoft PL-200 certified.

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