London Mayor Announces £12M AI Support Package for SMEs

Ask most London business owners whether AI matters and the answer is almost always yes. Ask how many of them have actually embedded it into their day-to-day operations and the number drops sharply.

That gap, between knowing AI is important and actually making it work inside a business, is where most SMEs are stuck right now. They've tried tools. They've run experiments. A few teams use ChatGPT for drafting emails or Copilot for summarising documents. But consistent, measurable AI adoption? That's a different conversation entirely.

Precisely such a dilemma that Mayor Sadiq Khan has addressed the recently announced £12 million AI support package. The programme was announced at London Tech Week a few days ago and is a collaborative effort of London & Partners, based on the Mayor's AI and Jobs Taskforce. Sharing the same vision, the Mayor's team has planned to invest 4 million per year up to three years to help London SMEs through AI readiness assessments, expert mentoring, workshops, and guided adoption of AI.

The arrival of the package cannot be explained by mere coincidence. At present, only 1 out of 6 London SMEs have adopted AI tools. Yet, almost 2 out of 3 are of the opinion that AI will be decisive for their survival and growth within five years. This gap in perception is a major one and also presents an opening to the businesses who will be the first to take the plunge.

The Problem Isn't Technology. It's Readiness.

Most coverage of this announcement will focus on the funding figure and leave it there. But the more useful question is: why do so many businesses struggle to move from AI experimentation to AI adoption in the first place?

The barriers are rarely technical. Businesses get stuck on:

• Not knowing where to start - the use case problem
• Data concerns - whether existing data is clean, structured, and secure enough to use
• Internal expertise - not having someone who can own and drive an AI initiative
• Measuring return - not knowing what success actually looks like before committing
• Staff adoption - getting teams to actually change how they work

The Mayor's programme addresses these directly. AI readiness assessments, expert mentoring, and tailored guidance are not AI tools, they're the scaffolding that helps businesses get to a point where AI tools can actually be used effectively. That distinction matters.

The Opportunity Most SMEs Are Getting Wrong

Here's where it gets interesting, and where most businesses are missing the real point.

When people hear "AI adoption," they tend to imagine large-scale transformation projects. Custom-built models. Significant budgets. Long timelines. And because that picture feels out of reach, nothing happens.

The reality is that some of the highest-return AI applications in SMEs are much more straightforward:

• CRM automation - following up leads, logging activity, flagging dormant accounts
• Customer support - handling common queries without human intervention 24 hours a day
• Document processing - extracting, summarising, and routing information from contracts, invoices, and reports
• Internal knowledge management - making institutional knowledge searchable and accessible
• Workflow automation - removing the manual steps between systems that nobody enjoys doing

None of these require building a custom AI product. Most can be implemented on existing platforms with the right configuration and planning. The businesses that understand this are the ones gaining ground quietly while everyone else waits for perfect conditions.

Why Early Movers Win, and What "Early" Actually Means

Support programmes like this one tend to benefit a specific type of business: not the ones that rush in unprepared, and not the ones that wait until everything is clear. The ones that win are the ones that prepare before the crowd arrives.

What does preparation actually look like? It's less dramatic than most people assume:

• Mapping time-heavy processes - identifying where staff hours are being spent on tasks that follow predictable patterns
• Auditing data quality - understanding what data exists, where it lives, and whether it's in a state where AI can use it reliably
• Building internal awareness - getting relevant team members familiar with what AI can and can't do, so conversations about use cases are grounded in reality
• Identifying quick wins - finding one or two processes where AI could reduce friction in the next 90 days, rather than planning a full transformation

Businesses that do this groundwork before applying for support, or before engaging with any external programme, get dramatically more out of both. They arrive with specific questions instead of vague hopes, and they move from assessment to implementation far faster.

What AI Readiness Actually Looks Like in Practice

Before committing to any AI implementation, there are a handful of questions every business should be able to answer:

• Which processes consume the most staff time week on week?
• Where do operational bottlenecks consistently appear?
• Which teams would feel the benefit of AI support earliest?
• Is the business data organised, accessible, and consistent enough to power AI reliably?
• How will the business measure whether an AI initiative has worked?

These aren't technology questions. They're operational questions. And they're the foundation of any AI initiative that actually delivers results rather than adding complexity.

This is why many organisations are beginning with an AI Readiness Assessment before committing to implementation, a structured process that maps current operations, identifies genuine use cases, and produces a prioritised roadmap rather than a wishlist.

At Dotsquares, we've seen consistently that organisations achieve better outcomes when they treat AI as a business transformation initiative rather than a technology project. The technology is rarely the limiting factor. Readiness is.

Five Things London SMEs Can Do Right Now

The Mayor's programme is live, but full rollout takes time. In the meantime, these are the most useful things any London SME can do today:

1. Identify your most repetitive manual processes - anything that follows a consistent pattern and consumes regular staff time is a potential AI use case
2. Audit your customer service workflows - look at where enquiries fall through the cracks, where response times are slow, and where common questions are answered repeatedly
3. Review your CRM - most businesses are underusing the data they already have; AI can only be as useful as the data underneath it
4. Assess your data quality - incomplete, inconsistent, or siloed data is the single biggest practical barrier to AI implementation
5. Draft a rough AI adoption roadmap - even a simple one-page document that names two or three potential use cases and asks what "good" would look like is a meaningful starting point

None of these require a budget. They require attention.

AI Readiness Assessment

Is Your Business Ready for AI?

London's £12M AI support initiative highlights a challenge many businesses face: successful AI adoption starts with readiness, not technology.

At Dotsquares, we help organisations identify AI opportunities, assess their data and systems, and create a practical roadmap for implementation.

• ✓ Identify high-value AI use cases
• ✓ Assess data and technology readiness
• ✓ Review security and governance requirements
• ✓ Discover automation opportunities
• ✓ Receive a tailored AI adoption roadmap

Book a Free AI Consultation

AI Readiness Is Becoming a Competitive Advantage

The conversation in London's business community has shifted. It's no longer "should we use AI?", most businesses have already settled that question. The conversation now is "how quickly can we adopt AI responsibly, and how do we make sure it actually changes outcomes rather than just adding tools?"

The Mayor's £12 million package arrives at exactly the right moment in that conversation. Not at the point where businesses are still asking whether AI matters, but at the point where they need practical help making it work. The initiative reflects a broader recognition that the adoption gap, not the awareness gap, is the real problem facing London's SME economy right now.

Today the companies prioritising internal clarity, organising their processes, and cleaning up their data will be the first ones to act when assistance becomes accessible. And in areas where AI is shortening cycles and altering the competitive landscape, usually the early entrants and the late ones differ Really.

Conclusion

The companies that are considering the use of AI don't have to get another AI tool. Actually, they need to have clear thinking, be strategic, and have an actionable plan. And whether it's through government-backed schemes, internal efforts, or external help, those organisations making an effort towards AI readiness today are probably going to be the leaders of their markets tomorrow.

Being a UK-based digital transformation and AI implementation partner, Dotsquares remains committed to assisting organisations Finally the gap between AI ambition and tangible business outcomes.