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Enquiry sorting and summaries
Turn a long incoming request into a short summary and a suggested category for the team. The original message stays available so staff can check the context before acting.
AI integration · Across Europe
We integrate AI into business workflows for teams across Europe. Sort incoming requests, prepare replies for review or help staff find information, with a clear purpose and people in control of the decisions that need judgement.
Discuss your projectA useful AI integration starts with a specific task. What information comes in? What should the result look like? Who checks it, and what happens when the information is incomplete? Those questions define the work before we choose a model or connect a service.
We look at your existing process and the information it uses. If a normal rule or a direct integration solves the problem, that may be the simpler option. Where AI is useful, we plan how its output reaches the next person or system, including a route for uncertain results.
Scope shaped around your needs
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Turn a long incoming request into a short summary and a suggested category for the team. The original message stays available so staff can check the context before acting.
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Prepare a first response or a working summary from the information you provide. A reviewer checks the facts, tone and next action before the draft is used with a customer.
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Connect a staff tool to an agreed set of documents or records. We define which sources it can use, what each user can access and how the result should point back to the source material.
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Connect an AI step to the surrounding software: an inbox, customer record or internal dashboard. Automation can prepare an update or next action, with approval points for sensitive or consequential changes.
An example workflow
The team gets a prepared starting point while keeping control over the customer conversation. This is a possible use case, not a promise of unattended operation or a fixed time saving.
From a conversation to a working product
We choose one task, agree what a useful result looks like, and review the information involved. Data access, service providers and actions that need approval are part of the scope.
We build a focused version and review normal, incomplete and difficult inputs with you. The checks look at output quality, review effort and how the workflow handles uncertainty.
We connect the agreed workflow and define what happens if a service is unavailable or the result needs a person. Usage limits, recurring costs and further improvements are discussed before rollout.
No. Clear rules, forms and direct connections between services can handle many tasks. We consider AI when the task involves information that is harder to handle with fixed rules, and test whether it provides a useful result.
Yes. An AI system can produce an incorrect or incomplete result. We define checks, human review and fallback steps around the task, rather than treat generated output as automatically correct.
That depends on the provider and configuration. We need to agree which information may be sent, who can access it and the relevant retention settings before connecting a service. Sensitive data is a design decision, not something to add without review.
Potentially, yes. We first check access to the existing system, available interfaces and the specific task. A focused integration may be enough; a wider rebuild is only discussed if the required workflow needs it.
Your next system
Tell us where work gets stuck. We will show you the clearest way forward.