AI services
AI workflow automation
Our AI workflow automation connects tasks such as text classification, document extraction and summarisation to your existing tools. We design AI-assisted steps with appropriate human reviews, error handling and data access rules.
01 / STARTING POINT
Identify recurring processes suited to AI.
When reading enquiries, collecting document fields or turning meeting notes into tasks becomes repetitive, we choose a specific job. Clear rules use standard automation; interpretation-heavy steps can use AI.
02 / SCOPE AND DELIVERABLES
AI process automation scope.
Task and data flow
We define inputs, outputs, system connections and ownership, including the information sent to the model and where review is required.
AI steps and connections
We connect classification, extraction or summarisation to a suitable model and integrate outputs with CRM, task lists or reporting.
Approval and error handling
We check missing information, duplicate records and unexpected outputs, providing ways to stop, retry and request human review.
03 / REVIEW AND DELIVERY
Output quality and workflow reliability.
Measures are defined at task level: accurate extraction, appropriate classification, review needs and completed work. Pilot findings help assess reliability before expanding scope.
We agree the starting point, deliverables and responsibilities together. Timeline, production scope, required access and ongoing support are defined in your proposal.
04 / COMMON QUESTIONS
Questions about AI automation consultancy.
How does this differ from standard automation?
Standard automation transfers data or performs actions using defined rules. An AI step supports interpretation, summarisation or classification of free-form information. We combine them where useful.
Will tasks be completed automatically?
It depends on the task. Drafting may be automatic, while customer communication or important record changes may require approval. Permissions and ownership are agreed upfront.
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