AI consultation
Let’s find out what AI can take off your plate.
Tell us what’s slowing your business down. We’ll help identify opportunities where automation and AI could make a practical difference — and we’ll say plainly where they wouldn’t.
Before you send it
The practical questions about building it.
What can AI agents actually automate?
Reliably: answering routine questions, qualifying an enquiry against defined criteria, capturing structured details, moving data between systems, generating documents to a template, and surfacing what changed in a dataset. Less reliably, and so always with a person: anything where being wrong carries real cost, anything requiring judgement about a specific customer, and anything that commits your business.
Do you provide ongoing support after it is live?
Yes, and automation needs it: platforms change their APIs, processes change, and what arrives at an AI step drifts over time. Improve is a stage of the engagement rather than an afterthought, and what it covers is agreed with you rather than assumed.
How do you protect business and customer data?
Access is scoped to the systems a workflow actually needs, credentials are held in the platform's own secret storage rather than in code, and runs are logged so access can be reviewed. Where data is processed and under which provider's terms is confirmed in writing during discovery for your specific build — we do not make blanket residency or certification claims.
Do we need to replace our current software?
No. The approach is to connect what you already use. Replacing a working system is a far larger project with far more risk, and it is rarely what the actual bottleneck requires.
How is hybrid AI different from ordinary automation?
Ordinary automation follows fixed rules and breaks on anything they do not cover. Pure AI handles variation but is harder to make reproducible. Hybrid uses rules for the steps with a defined answer, AI only where the input is language or genuinely varies, and a person on consequence — which is both more reliable and cheaper to run than doing everything one way.
Can AI workflows involve human approval?
Yes, and for anything consequential they should. Approval gates are a design decision made in the Design stage: which steps pause, who approves, what they see, and what happens if nobody responds in time.
Can the solution support multiple languages?
Often, but support and accuracy vary considerably by language. We test the specific languages you need against real examples from your market before committing to them, rather than quoting a list.
How do we get started?
A consultation. We look at where enquiries, follow-up, admin or reporting are costing you time, and tell you which of them automation would genuinely help with — including the ones it would not. If there is a fit, Discover is the first paid stage.