The honest take

Why Most AI Tools for Small Firms Will Be Obsolete in 18 Months

21 April 2026 · 3 min read · John

Most AI tools aimed at small professional firms will be obsolete within 18 months. The functionality they sell is being absorbed into platforms you already pay for, and the model capabilities underneath are becoming available to everyone.

This isn't a prediction. It's already happening.

What's Actually Going On?

Microsoft has quietly folded Claude into Copilot Studio. By early 2026, Claude was enabled by default for most Microsoft 365 commercial tenants. The AI writing assistant, meeting summariser, or note-taker you're paying separately for? Microsoft is building that into the £30 per user per month you're already spending.

Gartner estimates 35% of point SaaS tools will be replaced by AI agents by 2030. The tools most at risk are the ones without a defensible data layer or genuine vertical specificity — survey tools, basic CRM, generic writing assistants. Firms like Publicis Sapient are already cutting traditional SaaS licences by around 50%, replacing them with AI built directly into existing platforms.

The business logic is shifting from the application tier into the AI tier. Satya Nadella has said as much publicly. When the CEO of Microsoft says standalone business applications are beginning to collapse, it's worth paying attention.

The Problem With Buying a Tool That Sells a Model

If an AI product's pitch is "we use a better model," that advantage is temporary. Model capabilities that felt novel six months ago are now table stakes. Any differentiation built purely on which LLM sits underneath will be gone within a product cycle or two.

For small UK professional services firms, this matters more than most. Only 26% of firms with fewer than 50 employees have meaningfully adopted AI, compared to 44% of larger firms. Many smaller firms are just now starting to evaluate tools — and risk spending money on something with a shelf life shorter than the contract.

What Survives?

The tools that won't be absorbed are the ones built around your specific business: your processes, your clients, your data, your way of working. Generic tools lose their value the moment a platform giant ships the same feature for free. Tools built on your actual workflows don't.

A solicitor's client intake process is not the same as an accountant's year-end workflow. An IFA's compliance documentation requirements are not the same as a surveyor's site report process. Off-the-shelf tools treat all of them identically. That's exactly why they're vulnerable.

What We Do Differently

We don't sell you access to a model. We configure AI tools around your specific business, your voice, and your processes. The setup is done once, properly. What you end up with isn't a generic chatbot or a repurposed SaaS product — it's something that reflects how your firm actually works.

That specificity is what makes it durable. The underlying models will keep improving, and the tools we build are designed to benefit from that. The layer we build on top — the one that knows your business — stays yours.

If you want to understand what that looks like in practice, book a call and we'll walk through it in 20 minutes. No pressure, no deck.

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Common questions

Why will most AI tools for small firms become obsolete?

Most AI tools for small firms sell functionality that is being absorbed into platforms like Microsoft 365 and Google Workspace. Once that happens, standalone tools with no defensible data layer or vertical specificity lose their reason to exist. Gartner estimates 35% of point SaaS tools will be replaced by AI agents by 2030.

What kind of AI tool is most at risk of becoming obsolete?

Generic, single-purpose tools are most at risk. If a tool's core value is content generation, note-taking, or basic automation, and it has no deep integration with your firm's specific data or processes, it can be replicated by a platform update or a few lines of code.

What makes a bespoke AI tool more durable than an off-the-shelf one?

A bespoke AI tool is built around your specific workflows, clients, and processes. That specificity cannot be absorbed by a generic platform update. It reflects how your firm actually works, which means it remains useful even as underlying model capabilities commoditise.