AI Discovery Workshops

Find where AI can make a real difference to your business

BOOK YOUR AI DISCOVERY

AI has enormous potential. But knowing where to use it, and where not to, is the tricky part.

Our AI Discovery helps you move beyond the hype and explore what AI could actually do for your business.

Creating a roadmap for everyone to follow

We’ll explore, define and agree on your AI project’s requirements and desired outcomes. We’ll envision the final product and then create a realistic roadmap for software development and how we’ll work together successfully. This can cover everything from functional specifications to budget and timelines.

AI Discovery workshops – how the One Beyond process works, at a glance

Typically 2 weeks

A focused discovery designed to get your project moving quickly.

3-4 workshops

Collaborative sessions that bring your business, users and technology into focus.

Your team + our AI experts

You bring the business knowledge. We bring the product, UX and technical expertise.

A roadmap you can act on

You leave discovery with a clear, realistic plan for moving forward.

So, what happens during AI Discovery?

We don't arrive with a predetermined AI solution. Instead, we work with you to find the right one.

1

Step 1Start with your ambitions

We begin by understanding your business, goals and what success looks like. Maybe you want to reduce manual work, improve decision-making, give customers a smarter experience or make better use of your data. Or perhaps you simply want to understand where AI could give you an edge.

You’ll come away with:

Clear objectives and success measures
Key stakeholders involved
A focused discovery plan

2

Step 2Understand how your business works

We’ll explore your processes, people, systems and data to identify friction, repetitive work, bottlenecks and opportunities for improvement. We’ll also look at where your teams are already using AI and where there may be opportunities to do more.

You’ll come away with:

A clearer picture of your current processes
Key pain points and opportunities
Potential areas where AI could add value

3

Step 3Explore what’s possible

We’ll explore how AI could address the opportunities we’ve identified. That might mean intelligent automation, AI assistants, document processing, predictive models, semantic search, generative AI, agents — or something completely different.

We’ll consider what’s possible through the lens of your business and your users.

You’ll come away with:

Potential AI opportunities and use cases
Different solution approaches
A shortlist of ideas worth exploring further

4

Step 4Separate the exciting from the achievable

Not every AI idea is a good idea We’ll assess each opportunity against business value, technical feasibility, data availability, complexity, risk and cost.

Together, we’ll identify the ideas with the strongest potential – and be honest about the ones that don’t.

The result? A prioritised shortlist of AI opportunities worth pursuing.

5

Step 5Bring the best ideas to life

We’ll turn the strongest opportunities into something tangible by mapping AI workflows, user journeys and interactions. Where useful, we’ll create wireframes or rapid prototypes to show how the AI could work in practice.

You’ll come away with:

Defined AI workflows and user journeys
Initial UX concepts
Prototypes or wireframes where appropriate

6

Step 6Test the foundations

Can we actually make it work? We’ll explore the technology, data, integrations, models and infrastructure needed to make the solution viable.

We’ll consider:

What data will it need?
Which AI models could we use?
How accurate does it need to be?
How will we manage security and privacy?
Where does human oversight need to sit?

We’ll explain the options, trade-offs and implications so you can make informed decisions.

7

Step 7Define the AI solution

Turn the opportunity into a real product We’ll define what the first version needs to do, prioritise features and capabilities, establish the architecture and shape the product around the outcomes that matter most.

The aim isn’t to build everything.

It’s to build the right thing first.

8

Step 8Challenge the opportunity

Is this still the right thing to do? Before recommending development, we’ll review the assumptions, identify risks and consider what could affect the solution’s success.

That might include data quality, AI accuracy, security, adoption, regulation, cost or technical complexity.

If there are reasons to rethink the approach, we’ll tell you.

Step 9 — Your roadmap for delivery

What we’re building

Agreed and prioritised features based on your goals and user needs.

Who will build it

The recommended team structure, skills and expertise needed to deliver successfully.

What it will cost

Transparent cost estimates based on the agreed scope, technical approach and resources required.

How long it will take

A realistic delivery timeline with key phases, milestones and expectations.

Now you’re in the perfect position to move ahead with your AI project

Tell us what you need

We can spin up ideas, fast

See what's possible

Ready to move ahead – at speed? We use AI ourselves provide rapid prototyping for you, using pre-trained models and cloud AI platforms.

We can also use AI to refine your solutions, test the code and create documentation.

Our approach sets us apart

Discover more

We build long-term partnerships with clients because we’re refreshingly different.

Our thoughtful methodology gets to the heart of every issue, we craft exceptional AI solutions in the right way and we value your involvement at all times.

Stay future-ready with AI

Enterprises need an AI partner that thinks ahead. That’s why we invest in continual learning in AI development and share knowledge through workshops, code reviews and AI design sprints.

We also keep up with legislative changes impacting data and AI – and we adopt practices that reflect ethical AI and transparency.

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Ready to talk AI?

Get in touch

Spend your budget wisely – on AI projects that deliver a rapid payback. We’ve got the experience you need, with a track record of successful solutions across industries. We’re also a Microsoft Solutions Partner for Data & AI Azure.