Service · AI & automation/ 02
Most businesses do not need an AI strategy. They need the three or four repetitive jobs that eat the week handled reliably, with a person still in charge of the decisions. That is what we build.
What you get
We map the job step by step, find where judgement is really needed, and decide what should be automated, what should be assisted, and what should stay manual.
Assistants that read, classify, summarise, draft and recommend within a fixed output structure, so results can be validated before anyone acts on them.
The plumbing around the model: triggers, queues, retries, logging and the review surface where a person confirms or corrects.
Two of the most common wins: turning inbound enquiries into prioritised records, and extracting what matters from invoices, forms and reports.
Model calls from a server with credentials in environment variables, input validation, rate limits and graceful failure when a service is unavailable.
Every automated field is editable, and edits are logged. That record tells us where the system is wrong and how to improve it.
How it runs
Shadow the real job. Count the steps, the exceptions and the hand-offs. Output: a workflow sketch and a candidate list.
Define inputs, the fixed output schema, the review step and what happens when the model is unsure or unavailable.
Server route, validation, limits, review surface and integration with the tools you already use.
Run alongside the manual process first, compare, then widen the scope as trust is earned.
Questions
Related
An assistant that turns a raw inbound enquiry into a structured summary, a category, a priority and a suggested next action.
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Not every repetitive task is a good candidate for a language model. A practical checklist for finding the ones that are, and for leaving the others alone.
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Rules-based automation and language models solve different problems. Knowing which one you need saves money, and most real systems use both.
Portfolio entries are labelled independent concept or experimental build: studio work, not client engagements.
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