AI solutions
AI Built Around Real Business Workflows.
Custom AI-powered systems that sit inside the work your business already does: answering from your own content, reading the documents you receive, and routing what needs a person. The value is in the workflow around the model, not the model on its own.
What we build
Custom AI-powered systems
AI chatbots
Assistants that answer from your approved content and hand over to a person when they should.
Knowledge assistants
Search across your documents and policies, answering with the source attached.
Document analysis
Read incoming documents and pull out the fields your process depends on.
Data extraction
Turn unstructured text, emails and files into structured records a system can use.
Classification
Sort enquiries, tickets or records into the categories your team already works with.
Smart search
Search that understands the question rather than matching keywords.
Summarisation
Condense long threads, reports or documents into what someone needs to act on.
Customer support assistance
Draft replies for an agent to approve, keeping a person accountable for the answer.
Internal operations assistance
Answer staff questions about process, stock or status from internal systems.
AI with your APIs
Assistants that can look something up or trigger a workflow through your existing APIs.
AI with your databases
Answers grounded in your operational data, with access scoped server-side.
AI inside automations
A model as one step in a workflow — classify, then route, then notify.
We build on established AI providers and open models. We have not trained a foundation model of our own, and we do not claim to have one.
Worked example
An assistant that knows when to stop
The useful part is not the answer — it is the decision about whether to answer at all.
Support request with AI assistance
An AI assistant answers from approved business content and escalates to a person when it is not confident or the request is sensitive.
- Trigger
Support request
A customer asks a question on the website, in chat or by email.
- Process
Search approved content
The question is matched against your documented answers, product data and policies.
- Decision
Confident, and allowed to answer?
Billing, account and complaint topics can be routed straight to a person regardless of confidence.
Yes → answer · No → escalate
- Action
Answer with sources
The customer gets an answer drawn from the approved content, with the source it came from.
- Action
Escalate with context
Anything uncertain or sensitive goes to a person with the conversation and the suggested answer attached.
- Output
Logged for review
Questions, answers and escalations are logged so gaps in the content can be fixed.
The assistant answers from your own approved content. Escalation rules, tone and the topics it must not answer are set by the business.
Where AI helps, and where it should not decide
- 01
Grounded in your content
Assistants answer from your approved material, not from whatever a general model happens to know.
- 02
A person stays accountable
Sensitive topics — billing, complaints, anything contractual — route to a person by design.
- 03
Sources shown
Where an answer came from is visible, so it can be checked and corrected.
- 04
Logged and reviewable
Questions, answers and escalations are logged so gaps get fixed rather than repeated.
- 05
Scoped access
The model reaches data through server-side APIs with narrow permissions, never with raw credentials.
Have a process that reads, sorts or answers?
Those are the ones worth looking at first. Tell us the process and we will tell you honestly whether AI helps or whether plain automation does the job.