AI Solutions
AI chatbots, agents and copilots that do real work — built, deployed and supported by our team, running securely in your own cloud.
What we build
Start with one high-value use case. Expand once it's proving its worth.
Assistants for your website, WhatsApp Business, Microsoft Teams or support desk — trained on your own documents.
AI agents that read emails, extract data from invoices and PDFs, update your CRM or ERP and draft replies.
Bring GPT, Claude or Microsoft Copilot into the tools your team already uses — with secure access to your data.
Search, summarise and ask questions across contracts, policies and knowledge bases — with sources cited.
A focused 2-week assessment that turns AI ambition into a costed, prioritised plan.
Forecasting, scoring and anomaly detection models built on your historical data.
Where AI saves time
Repetitive, high-volume tasks with clear inputs — exactly where people's time is most expensive.
Up to 60%
fewer repetitive support queries reaching your team
Typical for FAQ-heavy support once an assistant is trained on your documents.
Up to 80%
less manual data entry on document-heavy work
Typical for invoices, forms and orders with consistent structure.
24/7
instant answers, in your customers' languages
Assistants respond around the clock and hand over to people when needed.
Indicative ranges based on typical deployments. Actual results depend on your processes, data quality and volumes — we estimate yours during discovery.
See it in action
A typical AI workflow we build. Select a step to see what happens — a person only steps in when something needs judgement.
Invoice processing workflow
Step 1 of 5
A supplier emails an invoice as a PDF to your accounts inbox.
Steps: Email arrives, then AI extracts the data, then Validated, then Pushed to accounting / ERP, then Team notified in Teams.
How we deliver AI
Prove value quickly, then scale what works.
A use-case workshop to find where AI saves the most time, safely.
A working pilot on your real data in 2–4 weeks, so you see results early.
Production-grade build, connected to your systems with proper security.
Go-live, quality monitoring and ongoing tuning as usage grows.
Responsible AI & data security
Security and governance are designed in from the first workshop — not bolted on at the end.
Solutions run in your own cloud subscription wherever possible.
Deploy in the cloud region that meets your data-residency needs.
We use enterprise AI services that don't train models on your content.
AI only sees what each user is already allowed to see.
Every AI action can be logged and reviewed.
People approve the decisions that matter, with clear escalation paths.
Models and platforms we work with
FAQ
It depends on scope. Most clients start with a focused pilot at a fixed price, then scale. Running costs (AI model usage and hosting) are estimated up front and typically small compared with the time saved.
A working pilot on your own data usually takes 2–4 weeks. A production rollout with integrations typically takes 6–12 weeks, depending on the systems involved.
Your data stays in your own cloud tenant wherever possible, in the region you choose. We use enterprise AI services that do not train on your data, with access controls and audit logs.
Modern AI models work well in most widely spoken languages. We test your assistant in the languages your customers use and can route conversations to the right team.
We design for it: answers are grounded in your documents, uncertain cases go to a person, and quality is monitored. You stay in control of what the AI can and cannot do.
We do, if you'd like. Support plans cover monitoring, model updates, prompt tuning and new features — or we hand over to your team with documentation and training.
Tell us where your team loses time. We'll identify the highest-value use case and outline a pilot you could have running in weeks.
