AI Strategy & Transformation
Reimagine how your business works with AI, and apply it only where it pays.
Discuss your requirementWe map your processes, data and decisions, identify where AI changes the economics, and turn that into a prioritised, costed roadmap. Where AI is not the right answer, we say so.
When this helps
- Leadership wants an AI plan, but nobody has costed it.
- Pilots are running in several teams and none has reached production.
- You need to decide what to build, what to buy and what to leave alone.
- AI is already in use and you need clear rules for how it is governed.
How would this work for you?
Answer three quick questions and get a short brief on how we'd approach your ai strategy & transformation need.
What's included
- AI opportunity and impact assessment
- Use-case prioritisation by value, feasibility and risk
- Data and technology readiness review
- Build, buy or partner recommendations
- Costed transformation roadmap
- Governance and responsible-AI operating model
How we do it
- DiscoverShort interviews with process owners and a walk through the systems and data behind the processes that matter most.Process and data map
- SizeEach candidate use case is scored on value, feasibility, data readiness and risk, with every assumption written down.Scored long list of use cases
- TestThe strongest candidates are checked against your real data and constraints, with a quick prototype where the answer is not obvious.Evidence for the shortlist
- DecideBuild, buy or partner for each use case, with the cost to run it as well as the cost to build it.Recommendations with cost ranges
- PlanA sequenced roadmap, the operating model to run it and the governance to keep it safe.Costed roadmap and governance model
How we keep quality high
- Every recommendation shows its assumptions, so your team can challenge them.
- Value is estimated with your finance and operations owners, not by us alone.
- Use cases with weak data or unclear ownership are flagged, not buried.
- Responsible-AI risks are assessed alongside value from day one.
Why Qylis AI
We tell you where AI does not fit
Our recommendation can be "don't", and that answer often saves more than a pilot would earn.
Strategy from people who build
The team that designs the roadmap also prepares data, trains models and ships applications, so the plan is buildable.
Cost to run, not only cost to build
Every use case comes with its running cost: models, data upkeep and the people to operate it.
Governance built in
Testing and certification are services we run ourselves, so risk and compliance shape the plan from the start.
Team profiles, tools, certifications and references are shared directly by our team, matched to your requirement.
Ways to work with us
Opportunity assessment
A fixed-scope review that ends in a scored shortlist and a clear recommendation.
Strategy and roadmap
The full programme, from discovery to a costed roadmap and operating model.
Transformation support
We stay on to help deliver the roadmap and measure what it returns.
Every engagement follows the same rhythm: understand, assess, scope, deliver, with evidence against agreed criteria at each step.
Questions
How long does an AI opportunity assessment take?
It depends on how many processes are in scope and how accessible the data is. We agree scope and timeline before we start, and the assessment ends with a scored shortlist.
Do we need clean data before starting?
No. Part of the assessment is finding out how ready your data is, and what it would take to make it ready for the use cases that matter.
Will you recommend your own services?
Only where they fit. The roadmap names the best option for you: build, buy, partner, or no AI at all.
What does Qylis AI's AI Strategy & Transformation offering cover?
We map your processes, data and decisions, identify where AI changes the economics, and turn that into a prioritised, costed roadmap. Where AI is not the right answer, we say so. It includes ai opportunity and impact assessment; use-case prioritisation by value, feasibility and risk; data and technology readiness review; build, buy or partner recommendations; costed transformation roadmap; governance and responsible-ai operating model.
How does an AI Strategy & Transformation engagement start?
Understand: We start with the business requirement and the outcome you need to measure. Assess: We review the data, systems and constraints, and confirm where AI makes sense. Scope: We agree scope, acceptance criteria and a first deliverable you can judge. Deliver: We deliver in increments, with evidence against the agreed criteria at each step.
How do I discuss an AI Strategy & Transformation requirement with Qylis AI?
Send the requirement through the contact form on this page. A solution lead replies within one business day.
Talk to Qylis AI
Tell us the requirement. A solution lead replies within one business day.
AI Data Services
Scan, clean, prepare, label and annotate training data, with subject-matter experts in the loop.
Model Training & SLMs
Train and fine-tune small language models on your data, for your domain and your infrastructure.
AI Applications
Build generative and agentic AI applications that integrate with the systems you already run.
AI Training Platforms
Platforms that make data preparation, model training and evaluation a repeatable pipeline.
AI Testing & Certification
Test AI solutions for accuracy, safety and conformity, and prepare them for external certification.
Healthcare AI
Clinical data preparation, medical imaging annotation, model evaluation and AI applications for healthcare teams.