AI readiness
& discovery.
Look at your goals, processes, data and team capability. Identify what needs attention before choosing a solution.
- Stakeholder conversations
- Current-state and capability review
- Readiness gaps and next steps
Be Positive AIAI on the agenda.
AI on the agenda.
Let’s make it useful.
You don’t need another list of things AI could do. You need a clearer view of what it could do for your organisation, and where to start.
Business Analysis at the core. Practical questions first.
From possibility to a practical plan
01 / THE QUESTIONWhat would
What would
make work better?
02 / THE FOUNDATIONS
People. Processes.
Data. A clear purpose.
A useful next step.
Start with the work.
Then explore the technology.
Perhaps your team spends too long finding information. A process is full of manual steps. Or an AI pilot hasn’t found its way into everyday use.
Our Business Analysis roots give us a useful place to start: understand the problem, ask what better looks like and work out what needs to happen next.
How we can helpA clearer picture.
A clearer picture.
A sensible way forward.
Explore the support around your situation, from early questions to the people who can help deliver.
AI readiness
Use cases
worth pursuing.
Turn a broad ambition into specific opportunities. Weigh up usefulness, feasibility and the effort involved.
- Use-case discovery and definition
- Data and process dependencies
- A focused pilot brief and success measures
The expertise
to move forward.
Understand the skills you have and where you need support. Draw on Be Positive’s wider talent and delivery network.
- Business Analysts and delivery specialists
- Data, AI and technical expertise
- Permanent or flexible support
Meet you where you areWhere are you
Where are you
with AI?
You may be asking your first questions or already learning from a pilot. Choose the closest fit.
What a useful first step producesSomething your team
Something your team
can work with.
We would agree the scope with you first. A discovery engagement could bring together:
A shared problem statement.
The work you want to improve, who it affects and why it matters.
A prioritised opportunity.
A use case with clear benefits to test and assumptions to check.
A view of the gaps.
Data, process, ownership and skills that need attention.
A practical next-step brief.
A pilot scope, measures of success and the expertise required.
Let’s start with your questionsWhat would you
What would you
like AI to help with?
You don’t need a finished brief. Tell us what you’re exploring, where the pressure is or what you’ve tried so far.