AI that is wired into your data and your processes, doing specific jobs properly, rather than a chat box bolted onto the corner of a screen.
A general assistant can write an email. It cannot tell you which of your customers are overdue, extract the totals from this month's supplier invoices or route a request to the right team, because it has no access to your data or your rules.
We identify the repetitive tasks worth automating, then build AI directly into the application where the work already happens, with your data and your guardrails.
No plugin marketplace, no upsells. Each point below ships with the plan.
Ask questions of your own data in plain language and get answers with sources.
Pull structured fields out of PDFs, scans and emails and file them automatically.
Meaning based search across records and documents, not just exact keyword matching.
Suggested replies, summaries and reports for a person to review and send.
Classify incoming requests and send them to the right queue with the right priority.
Overnight jobs that reconcile, chase, sync and prepare the day's work before anyone logs in.
The best returns come from narrow, high volume tasks: reading a supplier invoice, matching a payment, summarising a long thread, classifying an enquiry. We look for the task your team does forty times a week and automate that properly, rather than promising a system that thinks for you.
Assistants are connected to your actual records and documents, and answers cite where they came from so staff can verify them. Where the model is not confident, the system says so and hands over to a person instead of inventing a plausible answer.
AI features run on models we select for the job, and we design prompts and caching so running costs stay predictable. Your data is not used to train public models, and processing can be restricted by region where that matters for compliance.
