Useful assistance. Clear limits. A considered workflow.
An AI feature earns its place by helping with a defined task: finding an answer in approved documents, preparing a draft or moving a routine request through the right steps. I build assistants and integrations around that task, with attention to the information they use, the actions they can take and what should happen when a person needs to step in.
Where this fits
The work, made concrete
The final deliverables are agreed around your project. These are the main areas we can work through together.
An agreed use case, example inputs and a practical description of a useful result. We also identify unacceptable outputs, missing information and the points where the feature should ask for clarification or hand over to a person.
A chatbot or search experience connected to the material you approve, with supporting sources where useful. Document preparation, access permissions, updates and questions the collection cannot answer are included in the scope.
Connections to a suitable AI service for the agreed feature, such as drafting, summarising or organising incoming information. The work covers server-side credentials, input handling, response formats, loading states and understandable error feedback.
Workflows or agents that carry out agreed steps across your systems. We define which records they may read, which actions they may take and where a person must approve a result before information is changed or sent.
Checks using realistic examples, including ambiguous questions and unsuitable responses. The implementation can include human handover, request limits and usage reporting, alongside notes on model choices, provider costs and how to review the feature after release.
From brief to handover
We describe the current task, the information involved and who will use the feature. Starting with a specific workflow makes it possible to judge whether AI belongs in the solution and what a useful first version should achieve.
We review the approved documents, existing systems and provider options. Access boundaries, allowed actions, review points and an initial usage model become part of the implementation brief.
The assistant or integration is implemented and reviewed against representative examples. We examine supporting sources, mistakes, incomplete inputs and tool failures, then refine the behaviour and fallback routes.
We prepare the agreed deployment, usage controls and handover. The documentation covers configuration, content updates, access and the examples to check again when the feature, provider or source material changes.
Before we start
The best brief makes the important decisions and dependencies visible early.
A specific, repeatable task is a good starting point: finding an answer in a help collection, drafting a response for review or organising an incoming request. We look at the current process, the available information and how a person will check the result before defining a feature.
The scope can connect an assistant to an approved set of documents or help content. We need to decide which users can access which material, how it stays current and how answers show their supporting sources. Missing or conflicting information needs a clear fallback; access to documents alone does not guarantee every answer will be correct.
An integration can be allowed to carry out specific actions, but that permission should be deliberate. We define the allowed actions, account access, review points and what happens after an error. Actions such as sending a message or changing a customer record can require confirmation before they run.
We agree realistic examples and expected behaviour, then check useful answers, mistakes and handovers against those examples. Running costs depend on the provider, model, request volume and amount of information processed. An initial usage estimate, request limits and a way to review actual consumption can be included; provider fees are separate from development work.
Before connecting a provider, we agree what information may be shared, the account that owns the integration and the relevant provider settings. Credentials belong in server-side configuration, and document access and automated actions need appropriate permissions. Data that is unsuitable for the selected service can be excluded from the feature’s scope.
Where AI integration pays off for small businesses: automation, smart search, content workflows and recommendations, plus how to scope a first project.
Read the articleAI for BusinessAdd AI-powered smart search to your existing website or WordPress site without a full rebuild: how it works, when it's worth it and what the work involves.
Read the articleAI for BusinessWhat an AI chatbot for customer support costs in 2026, how it answers from your docs, when it is worth building, and how a careful pilot with handoff works.
Read the articleStart with a useful conversation
Describe the question, document collection or repeated workflow you have in mind. We can identify a useful first feature, the information it needs and the boundaries it should respect.