Use-case discovery and ranking
Workshops with business and operations teams to collect use cases, then a ranking on value, feasibility and risk.
AI Readiness Assessment
Know where AI will pay off before you spend on it.
In about two weeks, for a fixed fee, we find the AI use cases worth doing in your business and check whether your data, systems and people are ready for them. You leave with a ranked shortlist, a business case for the first one and a roadmap your leadership can sign off.
The problem
Why AI programmes so often start in the wrong place.
01
A long list and no priorities
Every team has an AI idea. Nobody has compared them on value, effort and risk, so the loudest one wins.
02
Data nobody has checked
A use case looks simple until someone finds the data is spread across five systems, half of it incomplete.
03
Pilots with no business case
A proof of concept gets built because the technology is interesting, then stalls because nobody agreed what it should change.
04
Risk raised too late
Legal, security or compliance see the project for the first time a week before launch and stop it.
What we assess
Everything you need to decide what to build first.
We look at the business, the data and the people together, because a use case only works when all three are ready.
Data and systems review
We check where the data for each shortlisted use case lives, how good it is and how the systems around it connect.
Skills and operating model
Who will own, run and use the AI once it is live, and what skills or roles are missing today.
Risk and governance check
A first look at privacy, security, regulatory and model risk for each use case, so blockers surface now.
Business case
For the top use case: the metric it should move, how we will measure it, the costs involved and what success looks like.
Roadmap
A sequenced plan for the first use cases, with dependencies, owners and the next decision point for leadership.
How we deliver
From a long list to a signed-off plan.
A short, fixed-fee sprint. Every step ends with something your leadership can decide on.
Always included
- One business metric agreed upfront and reported every week
- A senior squad of two to four people, with a demo every week
- Evaluations, guardrails and security built in from day one
- All code, models and documentation owned by you once invoices are settled
Typical tools
01
Days 1 to 3
Listen
We meet the people who own the problems, the data and the systems.
- Interviews with business, operations and technology leads
- Review of existing AI work, tools and contracts
- Agree the goals and constraints for the assessment
02
Week 1
Discover and rank
We gather use cases and score them on the same criteria.
- Use-case workshops with each team
- Value, feasibility and risk scoring
- A shortlist agreed with the sponsor
03
Week 2
Check readiness
We test the shortlist against your data, systems, people and rules.
- Data samples and source system review
- Skills and ownership review
- Risk and governance check
04
End of week 2
Recommend
You get a business case, a roadmap and a clear next step.
- Business case for the first use case
- Roadmap with owners and dependencies
- Readout to leadership, with a founder in the room
Where we apply it
Industries we know well.
Further reading
From the blog.
AI Readiness Assessment: A Practical Checklist for Leaders
A scored AI readiness assessment checklist covering strategy, data, technology, people and governance, with a simple rubric and guidance on what to fix first.
AI Implementation Cost in India: Drivers, Ranges and Budgeting
A practical guide to AI implementation cost: the real cost drivers, indicative ranges by project type, the running costs people forget and how to budget sensibly.
AI Consulting Services in India: How to Choose the Right Partner
What AI consulting services in India should actually deliver, how to evaluate firms, the questions to ask and the red flags to watch for before you sign.
FAQ
Questions we hear a lot.
What is an AI readiness assessment?
It is a short, structured review of whether your business is ready to use AI well. We look at which use cases are worth doing, whether the data and systems behind them are good enough, who will own and use the result, and what risks need handling. The output is a ranked shortlist, a business case and a roadmap, not a maturity score on a slide.
How long does an AI readiness assessment take and how is it priced?
Typically about two weeks, for a fixed fee agreed in writing before we start. The fee depends on how many teams and systems are in scope. We will tell you upfront, and there are no extra charges for the readout or the roadmap.
What do we need to prepare?
Access to the people who own the main business processes, the data and the systems, usually a few hours each across the two weeks. Sample data or read access to the relevant sources helps, and so does anything you already have: past pilots, vendor proposals or an AI policy. We sign an NDA before we see anything.
What happens if the assessment says we are not ready?
Then you have saved the cost of a pilot that would have stalled. The roadmap will say what to fix first, for example a data source to clean up or an owner to appoint, and which use cases can still go ahead while that work happens. Most companies have at least one use case they can start on.
Do we have to use Sunday Labs to build what the roadmap recommends?
No. The business case and roadmap are yours, written so any capable team can act on them. Many clients do move on to a production pilot with us, because the same people who did the assessment can start straight away, but there is no obligation.
AI implementation services
Every part of implementation, covered.
AI Pilot to Production
One use case taken from proof of concept to a live system people use, in about eight weeks.
AI Integration Services
AI connected to your ERP, CRM, core systems and product, with permissions and audit built in.
AI Adoption and Training
Process redesign, role-based training and an AI usage policy, so people actually use what you build.
Managed AI Operations
AI in production kept accurate, safe and affordable, fully managed or co-managed.
Our services
AI strategy, GenAI and agents, data platforms, analytics, MLOps and transformation.
Talk to a founder about AI Readiness Assessment.
Tell us where you are. We will come back within one business day with a point of view, not a sales deck.