AI Integration

AI integration costs in 2026: what you actually pay for

AI integration costs in 2026: the honest breakdown

AI integration pricing in 2026 does not follow a simple formula. The same category of work, connecting an AI model to a CRM to classify leads, can cost anywhere from three hundred pounds as a one-time setup to forty thousand pounds as part of a multi-year enterprise engagement. The variation reflects real differences in scope, but it also reflects the significant range of overhead structures and margin models across providers.

This guide covers what actually drives AI integration costs, what vendors typically obscure in their pricing, and what a fair-value engagement looks like at three company sizes.

What drives the cost

Scope complexity. A single-workflow integration on standard tools, such as a HubSpot-to-WhatsApp lead qualification workflow built in Make.com, has a bounded complexity. An experienced operator can scope, build, test, and hand it over in one to three weeks. A multi-system integration connecting a legacy ERP to a custom AI pipeline, with data cleaning required and multiple team touchpoints to reconfigure, is a materially different scope. Both are called AI integration. The cost difference is real.

Data quality. Integrations built on clean, well-structured data are faster to build and more reliable once running. Integrations that require significant data cleaning before the build can begin add days to weeks to the timeline, and that time costs money. Vendors who do not assess data quality before scoping are either building in contingency time or ignoring a cost driver that will surface mid-project.

Custom API connectors. Most major business tools have pre-built connectors in Make.com or n8n. When the target system does not have a connector, a custom API integration needs to be built and maintained. Custom connectors are not expensive to build once, but they do require maintenance when the target system updates its API. That maintenance cost belongs in the pricing conversation.

Ongoing maintenance model. There are two fundamentally different integration delivery models. The first delivers running code that the client owns and operates without the provider. The second delivers a system that continues to function only while the retainer is active, because the provider controls the infrastructure or credentials. The second model is priced as a service subscription rather than a one-time build. Both are sold under the AI integration label. Understanding which model you are buying changes the cost calculation significantly over a two-year horizon.

What vendors typically obscure

Account management overhead. Mid-size agencies typically allocate thirty to forty percent of a monthly retainer to account management, reporting, and strategy calls rather than build time. For an eight thousand pound per month retainer, that is two thousand four hundred to three thousand two hundred pounds per month not being spent on actual integration work. Ask any provider to break down how many hours per month will be spent on implementation versus account management.

Infrastructure ownership. When the integration runs on the provider's Make.com account or n8n instance, the client does not own the infrastructure. A provider change means a rebuild. Ask specifically whether the orchestration platform subscription will be in your name or theirs.

Licensing pass-through costs. Some providers include the cost of third-party platform subscriptions in their monthly fee, at a margin. A workflow orchestration tool that costs nine dollars per month direct may appear as a two hundred pound per month line item in a bundled retainer. Ask for an itemised list of third-party tool costs versus labour costs.

Fair-value benchmarks by company size

Five to fifteen employees. A single-workflow AI integration on standard tools should be deliverable within four thousand to eight thousand pounds as a one-time project, or at two thousand to three thousand five hundred pounds per month on a short-term retainer. At this scale, the integration should run in tools the client already owns and pay for, with no new subscriptions required.

Fifteen to fifty employees. Two to four workflow integrations covering the highest-friction areas of the business typically run eight thousand to twenty thousand pounds over a three to six month engagement, depending on complexity and whether data cleaning is required. Monthly retainer equivalents sit at three thousand five hundred to six thousand pounds per month for this scope.

Fifty to two hundred employees. Multi-system integrations connecting core operational platforms commonly run twenty thousand to sixty thousand pounds for the initial integration build. Ongoing maintenance and iteration retainers sit at five thousand to fifteen thousand pounds per month depending on the number of active integrations and the change frequency of the underlying systems.

What we charge

Our pricing is an operator model with no agency overhead. Foundation is two thousand pounds per month: one shipped integration per quarter, monthly tuning session. Growth is three thousand five hundred per month: two integrations per quarter, weekly working sessions. Dominance is five thousand per month: continuous integration delivery, capped at three clients. No account manager. The person who scopes the integration builds the integration.

The full breakdown of what drives pricing across the market and how to evaluate provider quotes is in our AI integration services guide.

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