Enquiry handling
Prepare and route information so the right person has useful context for follow-up.
Less repetition.
More room to work.
Connect your tools and put AI to work on a defined task. We build practical automations around the way your business operates, with people involved where judgement matters.
Let's talk about your projectA useful automation knows when to ask a person.
An enquiry arrives, information is copied into another system, someone prepares a summary and the next person asks for the same details again. Workflows like these are good places to look for improvement.
We can connect systems, prepare information and use AI to assist tasks such as classification, extraction and drafting. A conventional rule may be enough for part of the process; AI belongs where it adds something useful. The flow is scoped around real inputs and exceptions rather than a perfect demonstration.
Access, approval steps and ongoing running costs are part of the design. Important actions can remain subject to review, and failures should be visible. Connected services change over time, so the proposal also needs to cover how the automation will be maintained.
Document assistance
Extract or summarise agreed information, with checks against the original where accuracy matters.
Connected workflows
Move information between supported systems without repeating the same manual entry.
Human review
Build approval points and exception handling into the process rather than adding them afterwards.
A clear way forward.
-
Map the current flow
Understand inputs, systems, people and the exceptions that occur.
-
Build a focused version
Test the automation on representative material in an appropriate environment.
-
Introduce and maintain
Agree access, review points, costs and ongoing care before it handles live work.
A few useful
answers.
Can you work with the systems we already use?
We assess the available APIs, connectors and permissions. Some services have limits or additional costs, which we identify before agreeing the build.
Does every step need AI?
No. Reliable rules and normal integrations are often the right approach. We use AI only for the parts where it is useful.
What happens if a service is unavailable?
We design the agreed retry, notification or manual-review behaviour for the workflow. The exact approach depends on what the automation is allowed to do.
Are there ongoing costs?
There may be hosting, platform, model-usage and maintenance costs. These are explained separately from the build, with any usage assumptions made clear.