Applied AI solutions
We build agentic workflows, document intelligence and decision support into systems an organisation can account for.
Applied AI is useful when its output can be checked, its access is controlled and its actions are recorded. We build each of those in from the start.
What this covers
- Document intelligence: extraction, classification and summarisation
- Agentic workflows with approval points
- Decision support for operations and compliance teams
- Evaluation and testing of model output
- Audit trails and access control for AI features
- Integration with existing systems and data
Typical engagements
- Document processing for a defined document type
- An agentic workflow with human approval points
- A decision support tool over existing data
- An evaluation suite for an AI feature already in use
How an engagement runs
Enquiry
You describe what has to change. We reply in writing with questions.
Scoping
One conversation to agree the problem, the people affected and how the result will be accepted.
Proposal
A written scope, acceptance criteria, a price and a start date.
Delivery
We lead the work. Decisions, risks and changes are recorded as they happen.
Acceptance
The result is checked against the criteria agreed at the start.
Handover
Documents, access and records pass to your organisation.
Close
A short written close-out, and a support retainer if you want one.
Who this suits
Organisations with a document-heavy process: applications, claims, invoices, correspondence.
Teams that have trialled a general AI tool and now need one that works inside their systems and rules.
Our director is completing postgraduate study in applied AI at Charles Sturt University.
We build on: Vercel, Neon, Supabase, Clerk, with Anthropic and OpenAI models.