AI that does the work — grounded in your real data.
Agents and automations that plan, sort, route and answer for your business — built on your own data and live sources, so answers are real, not made up. Without a six-figure software project.
Illustration — modelled on Onz’s “My Day” planner
Where AI actually earns its keep
Most “AI” for small businesses is a chatbot that guesses. The useful kind is narrower: an agent that takes a plain-language request, checks real data — your catalogue, schedule, prices, or a live source like weather and travel times — and returns an answer your team or customer can act on. We build that kind.
Repetitive sorting and routing
Enquiries, requests and documents that someone reads and forwards by hand, all day.
Customers want an answer, not a list
People would rather say what they need in one line than filter through pages of options.
Chatbots that make things up
Generic AI invents answers. Grounding it in real data is what makes it safe to put in front of customers.
How it works
- 01
Pick one job
We start with a single task worth automating — the one that costs the most time or loses the most customers.
- 02
Connect the real data
Your catalogue, schedule or records, plus any live sources the job needs, so every answer is grounded.
- 03
Build and test the agent
It takes plain-language input and returns structured, checkable output — tested on real cases before launch.
- 04
Launch and extend
Live on your site or internal tools, then the next job once the first one proves itself.
Who it's for
Consumer and lifestyle sites
One-line requests turned into personalised plans, shortlists or recommendations from real inventory.
Service businesses
Enquiries sorted and routed to the right person with the details already extracted.
Distributors and suppliers
Customer questions answered from your actual catalogue, stock and specs.
Marketing teams and agencies
Content, listings and research workflows that run on their own, with a human approving the output.
An agentic site we built and run
Onz is our own live product: a Singapore events site where the “My Day” agent turns one line into a day plan of real events, meals and travel times, grounded in live NEA weather and OneMap data. Event curation runs on Jev, TypeSafe AI’s decision model. We also build operations tools like rostering and attendance portals — see Booking & Operations.
Good to know before you enquire
- Scope-dependent: a single focused agent is a small build; multi-step systems touching several tools are quoted by scope.
- AI models have running costs per request. We design to keep them low and tell you the expected monthly cost up front.
- We don’t connect to WhatsApp Business API or third-party platforms unless that integration is scoped and confirmed feasible first.
- Anything customer-facing is grounded in your data and tested on real cases; for decisions that matter, a human stays in the loop.
Related guides & free tools
AI Agents & Automation — your questions
An AI agent takes a request in plain language, works out the steps, uses real data sources or tools to complete them, and returns a result you can act on — rather than just replying with text like a basic chatbot.
We quote per build after scoping one specific job. A single focused agent is a small project; systems spanning several tools cost more. We also estimate the monthly AI running cost up front so there are no surprises.
Not if it is built properly. Our agents answer from your own data and live sources — Onz, for example, plans only with real events, real places and live weather and travel data — and are tested on real cases before launch.
Usually not. Most automations sit alongside what you already use, reading from and writing to your existing data rather than replacing it.
Jev is a fast decision model from TypeSafe AI that returns structured choices and scores instead of free text. We use it where an agent needs quick, reliable classification or selection — like curating events on Onz.
What would you hand to an agent tomorrow?
Describe the task and where the data lives. We’ll tell you honestly whether AI is the right tool — and what a first build would cost.