Audit · AI
Where AI actually makes sense in your organisation.
For organisations that want to use AI but don't yet know where it will pay off most.
What this means for you
- a system that stays in your ownership
- phased delivery with a working build at each milestone
- documentation and training at handover
What we analyse
- processes
- documentation
- data
- repetitive tasks
- agent opportunities
- RAG
- document intelligence
- automation
What you get
A list of use cases
Concrete cases where AI removes manual work.
Prioritisation
What delivers most at the lowest risk.
Data requirements
What has to be in place before anything starts.
Pilot proposal
One process, a measurable result and a capped cost.
Where AI usually pays off and where it does not
Usually pays off
Searching a large archive, processing documents of the same kind, summarising, classifying, drafting, answering repeated questions.
Usually does not
Tasks done a few times a year, decisions with no verifiable basis, and processes with disorganised data underneath.
Most projects fail not because of the model but because the data is not in the state the model needs.
What has to be in place before starting
- documents in one place, not across folders and inboxes
- clarity on who may see which document
- documents in a readable form
- someone who can confirm what a correct answer looks like
- an agreed measure of whether the pilot succeeded
A pilot with a capped cost
The audit usually recommends one process, one measurable result and a known cost. That way the decision to continue rests on a result rather than a presentation.
How we build the system
Architecture
We define the data model, modules and system boundaries before development, so later growth doesn't require a rewrite.
UX/UI
You approve the user journeys and a prototype of the key screens before any feature is written.
Frontend and backend
The interface and the server side are built to one standard: readable code covered by automated tests.
Integrations
Connections to ERP, CRM, document systems and registries, with logging and retries.
Data
Migration, cleanup and data quality rules, so the new system doesn't inherit the old errors.
Security, quality, rollout
Security
Authentication and permissions, encryption in transit and at rest, an audit trail and a review before go-live.
Testing
Automated tests, regression and acceptance testing against your criteria, not ours.
Deployment
Separate environments, phased release and the ability to roll back within minutes.
Handover
Code, access, documentation and team training. The system stays yours.
Maintenance
An agreed response time, monitoring and a monthly allocation for enhancements.
Related work
FAQ
Can you extend our existing system instead of building a new one?
Yes. We first look at what is worth keeping; we propose new development only when modernisation isn't enough.
Who owns the code?
You do. At handover you receive the code, the access and the documentation.
What happens after go-live?
With an agreed response time, monitoring and a monthly allocation for enhancements.
Related solutions
Sounds like your project?
Send us the project description, your existing system, the tender documents or the event date.