AI development & advisory
Find a useful AI opportunity and test it with a prototype.
For companies unsure where to start with AI: identify work worth improving and validate it with a small prototype.
- Clarify useful applications
- Review data and permissions
- Validate with a prototype
PURPOSE & VALUE / AT A GLANCE
Find a useful use case before deciding what to build.
There are many tools, but it is unclear which tasks suit AI or whether the data is ready.
Review problems and data, choose a use case and plan a small prototype.
Get an assessable direction, pilot scope and next steps before committing to a large project.
IN PRACTICE / SEE THE RESULT
See what goes in, and what you get back.
Choose a situation close to your needs.
Your information or need
The team has several repetitive tasks Budget and priorities are not settled
AI development & advisory
Review work, data and system constraints and choose a measurable, suitable pilot scope.
Illustrative result
Prioritised use directions Pilot scope and acceptance measures
How this helps: Know which problem to solve before deciding where to invest.
These examples illustrate use and delivery, rather than actual product screens or client results. Content, connections and deliverables depend on the agreed version and scope.
USE SCENARIOChoosing an AI pilot as a team
For example, review repeated information searches, choose a testable knowledge-assistant use case and agree data and evaluation.
How it fits your work
- 01
Understand the problem
Review current work, data and desired improvements.
- 02
Plan a small prototype
Agree the use case, test data and evaluation method.
- 03
Evaluate the next step
Review results, integration needs and adoption.
This AI-generated use scene is illustrative. Interfaces are not actual product screens or customer installations. Features and delivery depend on the agreed version and scope.
What the service covers
A clear scope and outcome, shaped around the way your business works.
Opportunity assessment
Find repetitive work and bottlenecks; set measurable goals.
Data & system readiness
Review data quality, permissions and existing systems.
Prototype & design
Knowledge search, AI assistants or integrations, validated with a small proof of concept.
Governance & adoption
Review steps, guidelines and support so your team keeps using it.
Teams and work it suits
- Leadership and business units
- IT teams needing hands-on AI support
Opportunity assessment
Data & system readiness
Prototype & design
Bring the pieces together with a clear scope and outcome.
What to confirm before starting.
You don’t have to change everything at once. Understand the need, then decide on the next step together.
Understand & scope
Review your goals, current environment and delivery needs, then agree the scope.
Plan & deliver
Agree the approach and schedule, deliver the work and review progress together.
Verify & hand over
Check the outcome, prepare guidance and agree ongoing support.
Questions and getting started
What does the consulting service deliver?
Within the agreed scope, define use cases, data and system preparation, prototype or pilot plans, evaluation and adoption. Deliverables are agreed before starting.
How does consulting relate to custom workflows?
Consulting clarifies what to do, feasibility and how to test it. Custom workflows implement agreed steps and system connections and can follow the assessment.
Can I get started now?
This solution is available on request. We’ll confirm the scope, cost and arrangements for your environment and needs before proceeding.
