Our capabilities

Useful intelligence. Thoughtfully connected.

AI agents, company knowledge, custom software and the infrastructure underneath. Designed together around a worthwhile business problem.

Discuss your AI project

What would you like your business to do better?

Solution examples. Realistic starting points, not claimed client results.

01Enquiry
02Approved context
03Draft
04Human review

Connect an incoming channel to a grounded response flow. Keep scope questions and commercial commitments with the right person.

Explore the service

What would change if one important workflow worked properly?

An enquiry reaches the right person. A proposal starts with approved information. An employee finds the current policy, with its source. We begin with a specific outcome, then work backwards through the data, software and controls required to deliver it.

WHAT YOU RECEIVE

A scoped workflow, architecture and integration plan, acceptance criteria, a deployed system where commissioned, and an agreed operating model.

01

Find the right starting point

The AI Architecture Sprint examines a workflow, its value and its constraints. You receive a prioritised opportunity, a proposed architecture and a build scope you can make a decision on.

02

Build the system around it

Agents, retrieval, application interfaces and conventional automation each have a role. We select the combination that suits the task and test it against representative work.

03

Connect the operating environment

Bring email, CRM, documents, approved messaging channels and internal systems into the workflow through controlled integrations. Existing tools do not need replacing just because the intelligence is new.

04

Keep it useful after launch

Knowledge changes, providers evolve and integrations need maintenance. Managed operations establish quality checks, release controls and a clear owner for the running system.

  • ✓Named workflow ownership
  • ✓Approved data and system access
  • ✓Human review at material decisions
  • ✓Representative evaluation before release

A little more clarity.

A few questions worth asking before you build.

Talk through your project
Do we need to know which AI technology we want?

No. Bring the business problem, examples of the work and the tools involved. The Sprint is designed to establish whether AI is appropriate and what should be built first.

Can you work with the software we already use?

Integration is part of discovery. We inspect available APIs, permissions, export options and contractual constraints before promising a particular connection.

What should AI do
for your business?

Tell us what you want to build, connect or improve.
We’ll help define the architecture, the delivery and what it takes to run it.

Bitsy answers from the heart — try one

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