Put AI to work in your business.
AI Foundry is Webnomate’s artificial intelligence practice. We build the agents, automations, and intelligent features that take real work off your team’s plate — grounded in your own data, not generic web knowledge.
- AI Strategy and Readiness Assessment
- Custom AI Agents and Chatbots
- Workflow and Process Automation
- Intelligent Search and Recommendations
- Document and Data Extraction
- LLM Integration into Existing Systems
- Content Generation and Summarisation
- Human-in-the-Loop Review Design
- Monitoring, Evaluation and Guardrails
Our AI work is judged on hours saved, not on how impressive the demo looks.
We build AI that handles real work: support queues, routing, reporting, and the busywork nobody wants.
Every engagement starts with a specific, measurable task — not a technology. We find the work that eats your team’s week, decide whether AI genuinely helps, and build only where it does.
Start putting AI to work.
Book a free consultation and we’ll map the two or three processes where AI would pay for itself fastest — including an honest answer where it wouldn’t.
what you get
What does an AI engagement look like?
Creating Success
What makes our AI work different?
Grounded in Your Data
Agents answer from your documentation, your policies, and your systems — not from whatever the model absorbed off the open web. That is the difference between a useful assistant and a confident liar.
Human in the Loop
Automation handles the volume; your people keep the judgement calls. We design the handover points deliberately, so nothing consequential happens without someone who can override it.
Measured on Hours Saved
We agree the number we are trying to move before we build, then report against it. If an automation is not saving time, we say so and change it.
Intelligence, built in. From first conversation to running system, we design AI that fits how your business actually works.
- Discovery: find the work worth automating
- Design: choose tools for fit, not fashion
- Build: ship something useful early
- Evaluate: test against real cases
- Support: monitor, tune, and hand over
Excellence driven strategies
We build AI you can actually trust
Transparent by design.
Day 1
Useful immediately. We ship a working slice of the system before we optimise it, so you can judge the value early rather than after a long build.
24/7
Automations that keep working outside office hours, at weekends, and while your team sleeps — handling the queue so mornings do not start with a backlog.
Yours
Your data stays yours. We design around your access rules and retention policy, and we tell you exactly what leaves your systems and what does not.
FAQ
FAQs about our AI services
Looking to learn more about what AI can realistically do for your business? Start here.
Most of the value comes from unglamorous work: answering repeat questions, routing enquiries, extracting data from documents, drafting first versions, and summarising long threads. If a task is repetitive, text-heavy, and rule-bound, it is usually a good candidate.
No. Agents grounded in your existing documentation, policies, and past correspondence work well without a formal dataset. What matters is that the material is accurate and current — AI will repeat your outdated policy just as confidently as your new one.
A general chatbot knows nothing about your business. We connect models to your systems and content, constrain what they are allowed to say, and put them where the work actually happens — inside your site, your inbox, or your internal tools.
We reduce it by grounding answers in your own sources, and we design for it by keeping a person in the loop wherever an error would be costly. We also build evaluation cases up front, so you can see how often it gets things right before it goes live.
Not in the setups we build. We select providers and configurations where your content is not used for training, and we tell you exactly what is sent externally and what stays inside your systems.
A focused automation or a grounded support agent is usually weeks, not months. We deliberately ship a narrow working version early rather than disappearing for a quarter.
There is an ongoing model and hosting cost that scales with usage. We estimate it during discovery and design to keep it predictable — and we will tell you if the running cost outweighs the saving.
That is not how we scope it. We target the work people do not want — the repetitive queue, the copy-paste, the first-line questions — so your team spends its time on the work only people can do.
Then we say so. Plenty of problems are better solved with a clearer process, a better form, or a small script. We would rather tell you that than sell you an AI project that disappoints.
