01Artificial intelligence
Applied AI
AI built into the products and processes you already run, not added as another tool your team has to manage.
- Grounded in your own data
- Integrated into existing workflows
- Evaluated before release
Before the build
Start with an AI Audit.
One to two weeks reviewing your workflows, documents and systems to establish what is worth building — and what is not.
Book the audit- 01
A prioritised list of opportunities
Every workflow we looked at, ranked by the time it gives back against what it takes to build.
- 02
Recommended solutions
What each opportunity would actually be — an agent, an integration, or software of your own.
- 03
Expected effort and cost
A range per item, so the decision is a budget question rather than an open one.
- 04
Key risks and constraints
Where your data, your systems or the regulator sets the boundary, written down before anyone commits.
- 05
A clear build recommendation
What to build first, what to leave, and what is not an AI problem at all.
Capabilities
One practice, four ways into the work.
Most engagements use more than one. Which ones, and in what order, is what the audit settles before anything is built.
02Artificial intelligence
AI Agents and Automation
Agents built around bounded tasks they can perform reliably, with human review for uncertain cases and a clear audit trail behind every action.
- Defined operational task
- Human review at uncertainty
- Audit trail for every action
03Software and systems
Custom Software
Applications and internal platforms built around how your business actually works, with the code and infrastructure handed over to you.
- Internal tools
- Client-facing applications
- Operational platforms
04Software and systems
Architecture and Integrations
We connect your data, tools and existing software, then map dependencies, risks and implementation order before anything gets built.
- System architecture
- CRM and ERP integrations
- APIs and data flows
Purpose-built agents
Bounded systems for recurring operational work.
An agent handles a defined piece of work: it reads information, uses your company data, triggers the next step and passes uncertain cases to a person.
Bring us the workflow, bottleneck or process that is slowing the team down.
We will help determine what is worth building and whether AI belongs in it.
Book an intro call