Connect before you replace: why UK firms are wiring up the systems they already own

That is good news. Integration is cheaper than replacement, faster to prove, and it is exactly the foundation AI needs to work properly.

Connecting systems now outranks AI and replacement

Propel Tech's 2026 Complexity Survey, published on 14 October, asked 1,375 people working in UK organisations which technology investment would make the biggest difference over the next two years. Connecting existing systems came top at 20.4%, ahead of embedding AI into existing software (18.6%), automating manual processes (15.7%), bespoke software (13.2%), better reporting and BI (12.4%) and, last of the six, replacing legacy software (11.6%).

The everyday pain is familiar. Switching between systems was the top productivity drag (17.4%), followed by lack of integration (14.5%). 68% of respondents think their organisation loses six or more hours a week to operational complexity, and nearly 44% put it above ten hours. Propel is careful to say these are people's estimates, not measured losses, but the direction is hard to argue with: a good CRM, a capable finance platform and an ops system can still leave staff re-keying data between them every day.

Most UK estates are only partly wired

G2's Connected Mandate 2026 study, commissioned by OneAdvanced and based on 100 interviews with UK decision-makers at organisations with 250+ employees, puts numbers on the gap:

• 77% work in estates where 60% or less of their software is connected.
• 59% of those who discussed it said routine workflows span five to nine applications.
• 90% see security or compliance exposure from fragmentation, led by data exposure and access-control risk.
• 73% call becoming a connected organisation extremely important or business-critical.

That is a larger-organisation sample, but anyone who has watched a 20-person team run on Shopify, Xero, a CRM, three spreadsheets and a shared inbox will recognise the shape.

AI is exposing the gaps, not papering over them

Here is where the two stories meet. In Propel's survey, 25.3% said their push to invest in AI had uncovered systems problems, and 20.4% said it had uncovered data problems. G2 found AI is already useful: 61% of leaders who discussed outcomes reported time or quality gains, but only 7% could quantify a financial return.

Ensono's 2026 State of IT Modernization research, reported by IT Brief on 29 September, adds the budget reality. 57% of UK organisations are extending legacy systems rather than replacing them, 77% of UK organisations have exceeded modernisation budgets, and 67% have paused, scaled back or abandoned an initiative. Across the UK and US sample, the leading barrier to turning AI investment into returns was workflow integration (33%).

The lesson is not "wait on AI until everything is perfect." It is that AI sitting on top of disconnected data will mostly make the disconnection more obvious. Wire the data flows first, and the AI layer has something trustworthy to work with.

Smaller firms have the most to gain

Enterprise Nation's State of Play in 2026 report, cited at the 19 October launch of its Visa Foundation-backed AI for Every Business programme, found only 21% of UK small businesses regularly use AI, and 46% of owners do not trust AI tools enough to act on them. Trust tends to follow reliable data: an assistant that can see the real order history, the real stock figure and the real customer record earns confidence far faster than one guessing from a pasted spreadsheet.

For the minority of UK AI SMEs building their own products, Innovate UK's BridgeAI Deployment Catalyst: AI for Operational Systems opens on 21 October 2026 and closes on 8 December 2026, with £100,000–£200,000 grants for consortia that include a UK medium or large deployer. Even there, the brief is explicit: reliable integration into the deployer's operations is the point.

A practical integration-first plan for UK SMEs

1. Start with what people put up with. List the places staff re-key data, chase information or keep "temporary" spreadsheets. Those workarounds are your backlog.
2. Map one end-to-end journey. Order to cash, lead to invoice, or enquiry to booking. Count the applications it touches and every manual handoff.
3. Pick a source of truth for each record. Customer, product, stock and invoice data each need one owner system. Integration without that just syncs the mess faster.
4. Fix the highest-friction handoff first. One well-built connection (ecommerce to finance, CRM to support, website forms to CRM) usually beats a big-bang programme.
5. Take a baseline before you build. Hours spent, error rates, time to quote or ship. Measure again after four to six weeks.
6. Treat integrations as security assets. Every connector needs an owner, scoped permissions and logging, because fragmented access is where G2's 90% risk figure comes from.
7. Only then add AI to the joined-up flow. Summaries, triage and drafting work far better when the data underneath is current and in one place.
8. Replace when the system is genuinely the limit, not because it is the easiest thing to buy. Sometimes it is, and that is fine. Just make it a decision, not a reflex.

Why this matters for Clarity Growth

Clarity Growth helps UK SMEs and scale-ups build connected systems: websites, ecommerce, CRM, finance and operations that share data instead of relying on people to copy it across. That often means wiring up the platforms a business already owns (Shopify, Statamic, WordPress and the tools around them) before recommending anything new, then adding automation and AI once the data flows are trustworthy. The research points the same way from three directions: the quickest productivity gains usually sit in the gaps between systems, not inside a shiny new one. If your team is losing hours to re-keying and tab-switching, a focused integration audit is a better first step than another platform pitch.

Sources

1. Better productivity might not need another new system — Propel Tech (14 October 2026; 2026 Complexity Survey of 1,375 UK workers: investment priorities, hours lost, AI exposing systems and data problems)
2. The Connected Mandate 2026: UK AI Readiness Gap — G2 Research for OneAdvanced (fielded September 2026; 100 UK decision-makers at 250+ employee organisations: connectivity, security exposure, AI returns)
3. UK firms extend legacy systems as AI spending rises — IT Brief UK (29 September 2026; Ensono 2026 State of IT Modernization: UK legacy extension, budget overruns, integration as top AI barrier)
4. Ensono research finds 78% of IT leaders see growing value in legacy systems — Ensono (2026 State of IT Modernization Report press release)
5. Enterprise Nation and Visa Foundation launch $2 million initiative to close small business AI gap — Elite Business Magazine (19 October 2026; Enterprise Nation State of Play 2026: 21% regular AI use, 46% trust gap)
6. BridgeAI Deployment Catalyst: AI for operational systems — UKRI (published 13 October 2026; opens 21 October, closes 8 December 2026)