AI assistants and knowledge access
An assistant for agreed enquiries, answering from approved business information, with a clear handoff to your team. It can serve customers on WhatsApp or staff looking for internal answers.
Connect your tools and reduce repetitive tasks with scoped AI assistants, workflows and dashboards, built around specific jobs your team does every week.
Example: enquiry to CRM update
We start with a task that repeats, takes time and has a clear owner.
Staff answer recurring enquiries by hand.
Information is copied between sheets, CRM and accounting tools.
Invoices, forms and orders are read and typed in manually.
Weekly reports are put together by hand, often late.
These are project offerings. Each one is scoped, tested and accepted with you before it goes into daily use.
An assistant for agreed enquiries, answering from approved business information, with a clear handoff to your team. It can serve customers on WhatsApp or staff looking for internal answers.
Move information between your tools, assign work and trigger the next step. We assess the tools and data needed for your workflow, including CRM, ERP, booking and accounting systems.
Bring connected data into one view, with scheduled summaries and alerts when something needs attention, such as overdue follow-ups or a drop in enquiries.
Extract and organise information from documents for your team to review, or build a small internal tool for a task that does not fit your current software.
Automation handles the routine part. People handle judgement, exceptions and anything sensitive.
When the assistant cannot answer, or a customer asks for a person, the conversation passes to your team with full context.
Extracted data and important actions can wait for approval before they are saved or sent.
Access is limited to the systems and data the workflow needs, agreed with you in writing.
Failures and unusual cases are flagged to a named person, not silently skipped.
One workflow, a named owner, an agreed baseline and clear acceptance criteria.
Look at the task, the tools involved and recent examples.
Agree what is in, what is out, data access and success measures.
Configure the assistant or workflow and connect the tools.
Test against real cases until the agreed criteria are met.
Monitor, maintain and review the results with you.
AI model usage and third-party charges are listed separately.
The assistant is limited to approved information and agreed topics, and is tested against real questions before launch. Outside those limits, it hands over to your team.
Recent examples of the task, access to the relevant tools (or a reliable export), a named person who can approve scope, and staff available to test the result.
We look at alternatives such as scheduled exports or a shared sheet. If there is no reliable way to connect, we will tell you during discovery rather than after you have paid for a build.
No. We start with administrative workflows. Health advice and other high-consequence decisions are outside the starting offer.
Describe it in a few lines. We'll tell you whether it is a good first pilot and what we would need.