Only 31% of UK SMEs have adopted AI, and just 35% use data analytics — despite SMEs representing 99% of UK businesses, employing 61% of the private sector workforce, and generating £2.8 trillion in annual turnover.

The gap isn't vision or willingness. It's access to capability at an affordable price. And to understand why that gap exists, you need to look at how the consulting value chain actually works.

The "perfect" project that failed the customer

Consider a real scenario. An SME invests in Microsoft Fabric to modernise their analytics. The numbers look like this:

  • Fabric F64 capacity: £45,000/year
  • Azure storage and networking: £15,000/year
  • Consulting firm implementation: £150,000
  • Training and change management: £20,000
  • Total Year 1 investment: £230,000

The project succeeds. The implementation is technically solid. Users adopt the platform. Automated reporting eliminates manual processes, data quality improves, and decision-making accelerates. The finance team calculates the efficiency gain at £250,000 annually. On paper, it's a success story — an 8% ROI.

But look at where the value actually went.

Where the £250,000 in value ended up

  • Microsoft (Fabric capacity): £45,000 — 18%
  • Cloud infrastructure: £15,000 — 6%
  • Consulting firm: £150,000 — 60%
  • Training partner: £20,000 — 8%
  • Customer retained: £20,000 — 8%

The customer generated the value — through their data, their processes, their people's time and expertise. Yet they kept just 8% of it.

This isn't a failure of execution. The project was delivered on time, on spec, with good adoption. This is the value chain working exactly as designed.

Where that £150,000 consulting fee actually goes

When you look inside the consulting fee, the economics become even starker:

  • Consultant salaries (what the people doing the work actually cost): £45,000 — 30%
  • Overheads (offices, systems, support staff): £45,000 — 30%
  • Cost of sales (proposals, pre-sales, pursuit costs): £22,000 — 15%
  • Partner profit margin: £38,000 — 25%

Of the £250,000 in value the customer created, only £45,000 went to the people actually doing the implementation work. The rest went to platforms, infrastructure, corporate overhead, and profit margins.

Why this model works for enterprises — and fails SMEs

For large enterprises, this model is acceptable. They have budget headroom, can absorb implementation costs, and benefit from scale effects across multiple business units. A £230,000 investment against a £50M revenue base is a rounding error.

For SMEs, it's existential.

Research consistently shows SMEs invest 2–5% of annual revenue in technology transformation. That £230,000 might represent a significant portion of an SME's entire technology budget — capital not available for product development, sales headcount, or market expansion.

And when 92% of the value you create flows upstream to vendors and consultancies (PwC's 2025 Digital Trends in Operations survey found that figure across technology investments broadly), you're not building competitive advantage. You're subsidising someone else's margin.

According to Forrester, implementation services for enterprise data platforms typically run at 1–2x the annual software costs. For an SME with an annual Fabric budget of £15,000–£50,000, adding traditional consulting at enterprise rates makes ROI essentially impossible.

The consequences of broken economics

When the maths doesn't work, SMEs face three bad options:

Delay or avoid transformation entirely. Fall behind competitors who can afford it — usually larger organisations or better-funded scale-ups. The competitive disadvantage compounds annually.

Attempt DIY implementations. Internal teams do their best without the right expertise, accumulating technical debt that becomes expensive to fix. AWS research found 52% of organisations expect major IT investments to pay for themselves in 7–12 months — which is simply not feasible when the implementation quality creates 18 months of remediation work.

Accept thin returns and hope for compounding benefits. Take the 8% ROI, plan for Year 2 and Year 3 to improve the picture, and hope the board doesn't revisit the business case too closely.

None of these outcomes serve the market. And they're all systemic — built into how consultancies have structured their commercial models.

The question worth asking

If an SME can generate £250,000 in measurable efficiency gains, why should they only retain £20,000 of it?

The value chain doesn't have to work this way. But changing it requires stripping out the layers of overhead that consume the majority of the consulting fee — the large offices, the pre-sales teams, the management layers, the partner profit margins — while retaining the one thing that actually delivers value: senior expertise.

This is the logic behind the Data Partners chambers model. Senior practitioners working directly with clients, without the overhead structure of a traditional consultancy. The same expertise, at rates that make the SME economics work — typically £900/day versus £1,500+ at the major firms.

The goal is straightforward: SMEs should be able to retain a meaningfully larger share of the value their data projects create. Not 8%. Something closer to 50%.

If you're evaluating a data platform investment and want an honest view of what the economics actually look like, book a free assessment. We'll work through the numbers with you before you commit to anything.