The verdict in three sentences
In 2026, a London business owner does not need an AI gadget but a use case that pays for itself in under a year. The four safest projects are email triage, document extraction, a quoting assistant and meeting summaries, for a project cost of 8,000 to 25,000 EUR ex. VAT and 80 to 400 EUR/month in API. The rule: prioritise by impact x feasibility, start small, and measure hours saved from the first month.
Four costed use cases
Each case below is calibrated for an SME of 15 to 80 people. The ranges cover a supervised pilot up to a production rollout integrated with your tools.
| Use case | Project cost (EUR ex. VAT) | API/month | Lead time | Estimated ROI |
|---|---|---|---|---|
| Email triage and routing | 8,000 - 14,000 | 80 - 200 | 4-6 wks | 6-9 months |
| Document extraction | 12,000 - 22,000 | 150 - 400 | 8-10 wks | 8-12 months |
| Quoting assistant | 10,000 - 18,000 | 100 - 300 | 6-8 wks | 6-10 months |
| Meeting summaries | 6,000 - 12,000 | 80 - 250 | 3-5 wks | 5-8 months |
| Combined pilot (2 cases) | 18,000 - 25,000 | 200 - 400 | 8-12 wks | 9-12 months |
API cost depends mainly on volume processed and document length; as a 2026 order of magnitude, a routine text task costs a few euro cents per request.
The impact x feasibility prioritisation grid
Never launch four projects at once. Score each case 1 to 5 on business impact and 1 to 5 on technical feasibility, then multiply.
| Use case | Impact (1-5) | Feasibility (1-5) | Score | Priority |
|---|---|---|---|---|
| Quoting assistant | 5 | 4 | 20 | 1 |
| Document extraction | 5 | 3 | 15 | 2 |
| Email triage | 4 | 4 | 16 | 2 |
| Meeting summaries | 3 | 5 | 15 | 3 |
| Content generation | 3 | 4 | 12 | 4 |
A score above 15 justifies an immediate pilot; between 10 and 15, you plan; below 10, you wait for a more mature need.
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Mini case study
Mark runs a 45-employee industrial SME in East London. His salespeople spend 6 hours a week each (4 reps) writing quotes, i.e. 24 hours weekly at a loaded cost of 35 EUR/h, or 840 EUR/week and about 40,000 EUR/year. An AI quoting assistant at 15,000 EUR ex. VAT plus 250 EUR/month in API cuts that time by 60 %: a 24,000 EUR/year saving. The project pays back in under 9 months, then delivers 24,000 EUR of value per year, not counting faster quotes that lift the win rate.
FAQ
How much does a first AI project really cost in London in 2026? A serious pilot sits between 8,000 and 15,000 EUR ex. VAT, with a monthly API cost of 80 to 300 EUR depending on volume. Below 5,000 EUR, you fund a throwaway prototype rarely put into production.
How fast is the investment paid back? Across the four priority cases, ROI lands between 6 and 12 months. The quoting assistant and email triage are usually the fastest, around 6 to 9 months.
Do I need an in-house data scientist? Not to start. An external scoping of 3 to 5 days is enough to launch a pilot, then you train an internal owner in 1 to 2 days. Hiring a dedicated profile only pays off once several cases are in production.
Is my data exposed? With a correct architecture, no: you use offers with no-retention and EU hosting, and sensitive documents stay encrypted. Budget 1,500 to 4,000 EUR for security/compliance scoping depending on your sector.
Packaged tool or custom build? For a standard need (summary, simple triage), an off-the-shelf tool at 20-50 EUR/user/month is enough. As soon as the case touches your business processes (quotes, specific documents), a custom build at 10,000-22,000 EUR ex. VAT is more profitable over 12 months.
Let's scope your project. Tell us your two most time-costly pain points, your indicative budget (8,000-25,000 EUR ex. VAT) and target timeline: we come back with a costed prioritisation grid. Detailed quote within 48 h. WhatsApp +221 77 596 93 33.
Mohamed Bah
Fondateur, Kolonell
Passionate about digital and entrepreneurship in Africa, Mohamed has been helping Sénégalese businesses with their digital transformation since 2020. Founder of Kolonell, he believes every SME deserves a professional and accessible online présence.
