Are you evaluating a transformation partner?
You need to know how a partner thinks before you trust them with your estate. The workshop shows you how SourceFuse works before any commitment is made.
We diagnose before we prescribe. Every time.
Becoming AI-native isn't a single project. It's a transformation across how you build, modernize, operate, and govern. The Understand workshop maps all of it before anything is committed.
- Consulting-Led Engagement Model
- Co-invested
- Cloud-Agnostic Assessment
- Same Team from Workshop to Delivery
The Design Thinking Workshop
The Design Thinking Workshop is SourceFuse’s complimentary entry point, a 3 to 5 days collaborative working session run jointly by SourceFuse architects and practice leads alongside your relevant technology, product, and business stakeholders. The best diagnostic isn’t produced by consultants who disappear and return with a slide deck; it’s co-produced between your people and ours, the team that eventually flows through to delivering. The output is built and reviewed jointly, owned by both sides before anything is committed.
UNDERSTAND The Technology Rarely Fails.
The Brief Does.
The harder problem isn't technical. It's navigational.
- What does AI-native actually mean for your stack, your data, your competitive position?
- What needs to happen first? What can wait?
- What are the dependencies nobody has mapped?
SourceFuse starts by answering those questions.
Before anything is scoped, budgeted, or built.
Observed scenarios
70% of IT budgets go to keeping legacy systems alive. No room to build anything new.
AI is stuck between pilots and production. Most teams can't get from PoC to governed, scaled deployment.
Engineering teams are pulled in every direction at once, ship faster, modernize, adopt AI and cut costs with the same headcount.
Large SIs bolt AI onto old delivery models. Real transformation needs AI built from the ground up, not bolted on.
The Five Outputs
The workshop produces five connected outputs, in sequence.
Each one builds on the last.
Design Thinking
A structured exploration of your business context, technology landscape, competitive pressures, and AI ambitions, run as a facilitated session that surfaces the real constraints, not just the stated ones. We learn your environment and your team learns how we think.
Use Cases
A shortlist of specific AI and transformation use cases drawn from the Design thinking workshop, validated against your actual stack, data, and maturity - not a generic opportunity list.
Feasibility
Each use case assessed against your infrastructure, data readiness, team capability, budget and delivery risk. What's possible now, what needs groundwork, and what should wait.
Prioritization
A jointly agreed ranking of what to do first, second, and third - based on impact, readiness, cost, and dependency. Built together, not handed over.
Roadmap
A three-horizon roadmap: immediate actions (0 to 90 days), near-term programs (3 to 6 months), and longer transformation (6 to 18+ months) - with Discovery Sprints sequenced in order of dependency.
Who This Is For
Start with Understand if you’re navigating, not just executing.
