infotechOpportunity discovery
Examine the work people do and the decisions they make. Identify where assistance, automation or better information could address a meaningful source of friction.
AI strategy
Make AI a business decision.
Move from scattered experiments to a focused plan for meaningful AI adoption.
Built forBusiness leaders, technology teams and transformation sponsors
The focusFrom AI interest to an actionable roadmap
Our delivery approach The business perspective
Technology witha clear purpose.
The most valuable AI initiative begins with a business priority. Identify where AI can help, what information it needs and how success will be evaluated.
The first strategic AI decision is where to apply it. A useful opportunity has an identifiable user, a repeatable task and a result the business can evaluate. We help separate those opportunities from ideas that need better data, clearer ownership or a different process first. The strategy connects business priorities with a practical delivery sequence, including the people, information and operating responsibilities needed to move beyond an isolated demonstration.
Explore the possibilities
Built for the workthat matters.
A closer look at the capabilities and decisions that shape a useful solution.
Use-case prioritisation
Compare opportunities by business relevance, feasibility and readiness. Make the assumptions visible so stakeholders understand why one idea should come before another.
Data and knowledge readiness
Review the sources each use case requires. Identify quality gaps, access needs and the people responsible for maintaining the information.
Platform selection
Assess relevant Microsoft capabilities, including Copilot Studio, Fabric and existing application features. Match the approach to the task rather than starting with a product choice.
Evaluation design
Define what a useful answer or completed task looks like. Include realistic exceptions and decide where human review remains part of the process.
Operating roadmap
Connect pilots with ownership, adoption and ongoing review. Give the business a staged plan that can change as evidence from early releases emerges.
From capability to everyday value
See itin practice.
Explore possible starting points for your organisation. Each scenario connects a business need with work to consider and measures to review.
Leadership alignment · Illustrative scenario
Turn a long idea list into a delivery sequence.
Several departments have AI proposals but no shared way to compare them. Define consistent criteria and assess the information, integration and adoption work behind each idea. Select a bounded first opportunity whose outcome can be evaluated by an accountable business owner.
What to measureDecision clarity and use-case readinessAgree a baseline and targets with your business owners.
Knowledge work · Illustrative scenario
Find the task worth assisting.
A team spends time searching for answers across several sources. Examine the questions, the quality of the available information and what happens after an answer is found. Decide whether the first improvement is better knowledge, an agent or a simpler existing process.
What to measureAnswer usefulness and task completionAgree a baseline and targets with your business owners.
Moving beyond a pilot · Illustrative scenario
Prepare an experiment for everyday use.
A demonstration works with selected examples but has no support owner. Expand the evaluation to realistic requests and exceptions, identify ongoing operating needs and agree a controlled rollout. Use the findings to decide whether to improve, expand or stop the initiative.
What to measureEvaluation performance and adoptionAgree a baseline and targets with your business owners.
The Defacto approach
Clarity at every step.Ownership beyond launch.
Our strategy work brings business and technology stakeholders together to assess readiness, prioritize opportunities and shape a roadmap for implementation.
Explore our approach- 01
Discover and assess
Bring business and technology stakeholders together around priority tasks. Record the assumptions, source requirements and ownership behind the candidate use cases.
- 02
Define and test a first case
Choose a limited scope and evaluate it with representative users. Review the result against agreed criteria before committing to a broader rollout.
- 03
Create the next-stage roadmap
Set out delivery priorities, dependencies and ownership. Include a review process so the roadmap reflects evidence from actual use.
A useful first conversation
Bring the context.
We’ll help shape the next step.
A few examples of your current work will make the discussion more specific.
- Business priorities and candidate tasks
- Available data, knowledge and integration points
- Business owners and intended users
- Success criteria and decision-making responsibilities
Experience you can explore
See the workbehind the words.
Customer experienceLeading Utilities Provider
Service that is ready when customers need it.
A major utilities provider modernised customer service with AI-driven query resolution and 24/7 accessibility through Microsoft Copilot Studio.
Explore the customer storyMake an informed decision
Your questions.Considered answers.
The right scope starts with a clear understanding of your business, the platform and the work ahead.
Do we need a complete data-platform programme before starting AI?
Not always. A focused use case may need a small set of maintained knowledge or records. The assessment should identify the minimum dependable foundation for that task and distinguish it from longer-term data work that can follow.
How do we avoid an AI pilot with no business owner?
Name the owner of the operational outcome before development begins. Give that person a role in scope, evaluation and adoption. Technical delivery and business accountability should remain connected throughout the pilot and any subsequent rollout.
What should an AI roadmap contain?
A useful roadmap identifies the priority use cases, dependencies, owners and evaluation criteria. It explains the next decision as well as the next activity. It should also make room for ideas to be revised or stopped when evidence does not support them.
Explore Microsoft guidance
Your next chapter starts here
What’s your next?
A challenge to solve. An idea to explore. Let’s talk.