AI built around how your business works.
We design AI systems around how your business actually works, not the other way round. Every engagement starts with a conversation, not a product demo.
Kavio automates repetitive processes, retrieves answers from your own documents and flags the risks in your data.
Automate repetitive processes
Same steps, same inputs, every day. A system runs the process end to end, logs each step, and routes exceptions to your team.
Answer from your own documents
The answer usually exists in a document, ticket or thread. A system searches your sources, answers, and cites where it came from.
Flag what your data shows
Orders, tickets and invoices hold patterns nobody has time to review. A model flags what needs attention and explains why.
“You’re not going to lose your job to an AI, but you’re going to lose your job to someone who uses AI.”
Built to fit how you operate
Choose the service that fits the problem. We handle the build from the first process map to the system in production.
Agentic AI
AI agents built around the way your business already works. We connect them to the systems, tools and approval steps they need to complete real tasks: from collecting information and updating records to coordinating follow-ups across teams.
Smart chatbots
Turn scattered company knowledge into an assistant your customers and teams can actually rely on. We structure the information behind it, connect the right sources and workflows, and build in clear handling for questions that need human judgement.
Automation
Remove the manual work between systems. We design workflows that can read incoming information, apply business rules, update records, route work and trigger the next step without your team moving data from one place to another.
Machine learning
Use the data you already have to make better operational decisions. We build models for forecasting, anomaly detection and prioritisation, then integrate the output into the tools and processes where your team already works.
We also build our own AI products. QueryOn helps brands get mentioned and cited more often in AI answers by continuously tracking visibility, identifying gaps and automating improvements across major LLM platforms.
Visit QueryOn(opens in a new tab)Custom AI startswith your workflow
Every project follows the same three steps. We map how the work runs today, agree what the system and your team each handle, then build with the limits in place.
- 01
Understand
We follow one real case end to end with the people who handle it. You get a map of the process as it runs today, not as the manual describes it.
- 02
Co-design
Every step gets a label: the system does it, a person does it, or the system does it and a person signs off. Agreed in writing before anything is built.
- 03
Build with guardrails
The limits go in first. What the system may touch, what it has to log, what it must never send out. Then we build against them and test them.
The industries we build for
Work in one of these? See the problems we solve there, what we can build for you, and the products we are developing for it.
Tell us what’sgetting in the way.
If there’s a process that is slow, manual, inconsistent, or difficult to scale, start there. We’ll tell you whether AI is the right approach.
- 01
Intro call
We learn how the process runs today, who owns it and where it slows down. The first call is free.
- 02
Process review
We follow one real case end to end with your team and map the process as it actually runs.
- 03
Recommendation
We tell you whether AI fits, what we would build, and which decisions stay with your people.