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Automation and AI

Automate the steps that consume your team’s time every day.

For repeated enquiries, duplicate data entry and documents needing review. Predictable steps use explicit rules; AI is used where interpreting text adds value.

Clear deliverables

What the project can include

The exact list is adapted to your needs and confirmed in the proposal.

01

Website enquiries routed to CRM and the right person

02

Quotation and follow-up workflows with agreed rules

03

Document extraction with exception review

04

Assistants searching approved company information

05

Logs, alerts and a human intervention path

From an idea to something that works.

01

Understand the need

Your outcome, current situation and the people using the solution.

02

Define the solution

Structure, functions, costs and acceptance criteria before implementation.

03

Build and verify

Staged delivery with working examples and feedback along the way.

04

Launch and hand over

Verify functionality, document access and agree what follows.

Before you start

What to clarify

These details affect the solution and cost.

Does every automation need AI?

No. A rules-based workflow may be simpler and more predictable. AI helps with text, documents and unstructured information.

How do you manage incorrect AI outputs?

We constrain sources and actions, test representative examples and add human review for important decisions. We do not promise perfect output.

Where does it run and what does it cost?

Infrastructure and providers depend on your data and requirements. API, messaging, licence and hosting costs are shown separately.

More detail for a sound decision

Your next step

Your idea deserves
to take shape.

A new website, a store or a workflow that could work better. Tell us where you want to go.

Let’s talk ↗