Customer chatbots
On your website or WhatsApp: answers about products, orders and policies, and new enquiries captured for your team.
Automate / AI chatbots
Assistants that answer from your own knowledge.
On your website, in WhatsApp or inside your tools: chatbots that answer from your documents and data, cite where the answer came from, and hand over to a person when they should.
What we build
Where we usually start.
Internal assistants
For your staff: procedures, policies and records, searchable in plain language.
Answers from your data
Connected to your inventory, orders or CRM, so it answers with live numbers instead of guesses.
Hand-off to a person
When it isn’t sure, it says so and passes the conversation on with the history attached.
How we measure it
A baseline before, the same numbers after.
We test a chatbot on real questions from your inbox before it goes live, and keep scoring it on the same set afterwards.
- 01Questions answered without a person
- 02Answers that needed a correction
- 03Time to first reply
- 04Leads captured
How it runs
Four steps, the same on every project.
- 01
Map the work
We sit with the people who do the work today and map the process as it actually runs.
- 02
Measure the baseline
Time, errors and cost for the task as it is now, written down before we build anything.
- 03
Build in small releases
Working software early, reviewed with you as it develops.
- 04
Report the same numbers
After launch we measure the same things again, so the result is a number, not an opinion.
From the blog
Guides on this.
AI agents and automation · 12 Aug 2026 · 6 min read
A Caching Strategy That Cuts Your AI Bill
Cache the deterministic and reusable parts of your AI workflow without serving stale private data or pretending every model response is interchangeable.
AI agents and automation · 31 Jul 2026 · 7 min read
MCP Server Security: What to Check Before You Connect One
Connecting an MCP server is installing software and handing it credentials. A practical review checklist for anything you are about to plug into your agent.
AI agents and automation · 30 Jul 2026 · 7 min read
The Vulnerability Classes AI Code Generators Keep Producing
AI coding tools fail in patterns, not at random. These are the vulnerability classes they produce again and again — and the fastest way to find them in your own repo.
Related
Also worth a look.
Questions
What buyers usually ask.
It answers only from the documents and data you connect, shows the source, and says so when it doesn’t know.