AI Automation Services

What AI Automation Really Is

AI automation is software that does the repetitive thinking and handling work a person would otherwise do by hand. Older automation could only follow rigid rules, so anything with a scanned form, a free text email or a judgement call still landed on a human desk. Modern AI automation reads unstructured documents, understands plain language, makes scoped decisions and takes action across your systems, with a human in the loop wherever the stakes are high.

In practice that means three things working together: AI agents that handle a task end to end, document automation that turns PDFs, emails and forms into clean structured data, and workflow automation that connects the steps across your CRM, ERP and internal tools. The outcome is a measurable drop in manual hours, faster turnaround for your customers and a process that runs the same way every time, with an audit trail you can show a regulator.

We treat automation as an operations decision, not a technology trophy. Before we build anything we agree the baseline we are measuring against, so the value is visible in time saved and cost reduced rather than in a demo that never reaches production.

Signs You Are Ready for AI Automation

• Your team spends hours every week rekeying data from emails, PDFs or forms into other systems
• Customer onboarding, claims or approvals are slow because they wait on manual review at every step
• Support volume keeps rising and you are about to add headcount just to keep response times steady
• The same questions and the same documents come back day after day in a predictable shape
• You have clean enough data and a clear process, but no time to wire automation together safely
• Compliance and audit requirements mean you cannot use a black box tool with no trail or human oversight
• Off the shelf software almost fits but leaves a gap that still falls back to a person

What It Costs and How Long It Takes

We publish pricing in EUR, GBP and USD and quote clear ranges, not opaque enterprise figures you only see after weeks of meetings. Cost depends on scope: how many systems we connect to, how messy the documents are and how much human oversight the process demands. The figures below reflect 2026 market benchmarks for custom AI automation and our own Europe delivery.

A focused single workflow build, for example lead intake or a support deflection agent, typically runs between 5,500 and 18,500 dollars (roughly 20,000 to 68,000 EUR) to build, with a running cost for models, hosting and monitoring. A multi step or multi agent automation that orchestrates several specialised agents typically runs between 18,500 and 92,000 dollars (roughly 68,000 to 338,000 EUR), again with a monthly run cost. These align with 2026 vendor benchmarks of about 1,500 to 5,000 dollars for a single purpose agent and 5,000 to 25,000 dollars and up for multi agent workflows, with integration work commonly adding between 20 and 40 percent.

• Single workflow automation: usually live in between 3 and 6 weeks
• Multi step or multi agent automation: usually between 6 and 12 weeks to production
• Working prototype against your real data: typically within the first 2 to 3 weeks
• Engineers assigned in days, because the bench is senior and pre vetted
• Run cost quoted openly, since AI handled conversations cost roughly 0.50 to 0.70 dollars each against 6 to 8 dollars for a human handled one (2026 benchmarks)

What You Get

• A high volume manual process automated end to end and running inside the systems you already use
• A measurable drop in manual hours on the targeted workflow, proven against the baseline you agreed
• Reliable automation with audit trails, exception handling and human approval gates where compliance needs them
• Monitoring, evaluation and guardrails so accuracy holds up after launch
• Clear documentation and a clean handover so your team can run and extend the system
• Transparent pricing in EUR, GBP and USD with no surprise costs after the fact