discovery & Adoption Framework
Build clarity first
Only then can you translate your needs into outcomes-informed capability development.
Why the framework is needed
Organisational change around a new technology and ways of working is challenging. This is compounded significantly if there is a lack of clarity among the stkeholders.
- What is your organisation trying to achieve?
- How does your work happen today?
- Where are your capability gaps?
- What is your current technology stack?
- What is your competitor environment?
- What does success look like?
When the answers to the questions are unclear, decisions become feature-led while adoption becomes inconsistent and patchy.
Sivico Learning helps organisations define that clarity and translate it into success with measurable outcomes.
A joined-up approach
Discovery and adoption are not separate activities. They are two parts of the same process.
- Understand what matters.
- Enable people to act on it.
Skills gap analysis sits at the centre of this. It connects business priorities to workforce capability, technology decisions and adoption outcomes.
This applies equally to selecting the right learning technology or embedding Microsoft 365 Copilot into everyday work. Both need to drive performance.
Our approach ensures procurement decisions and adoption efforts are aligned to the real business needs of the client, not assumptions or trends.
What this helps your organisation achieve
The Discovery & Adoption Framework enables better decision-making and stronger outcomes across the board for clients.
It underpins all Sivico Learning services, adapting flexibly within the four steps of the process depending on your context and need.
Step 1. Discover
Step 1. Discover
Step 1. Discover
Define the problem properly
Before any system selection, training or rollout, the focus is on understanding the intention.
- Engage stakeholders across the organisation
- Clarify strategic intent and priorities
- Explore real workflows, not theoretical ones
- Identify capability gaps and friction points
- Define and agree what success looks like in practice
Discovery often involves structured workshops and follow-up conversations designed to surface shared understanding and alignment.
Output: a clear, shared understanding of the problem to be solved, the current ('what‑is') state and the future vision for the organisation.
Step 2. Design
Step 1. Discover
Step 1. Discover
Translate insight into action
Insights from discovery are translated into practical application.
- Validated, testable requirements for market
- AI programme and curriculum design
- A clear implementation or adoption focus
- Alignment to business goals and workforce capability
- Alignment with current organisational technologies and future roadmaps
This step ensures decisions are evidence-based, internally aligned and grounded.
Output: a coherent, Board-defensible foundation for either procurement and adoption.
Step 3. Enable
Step 3. Enable
Step 3. Enable
Support real-world application
With clarity and contextual requirements in place, the focus shifts to enablement.
- Supported or fully managed technology procurement
- Delivery of role-based Microsoft 365 Copilot programme
- Teams enabled to apply tools in real workflows
- Confidence and practical capabilities increased
Crucially, enablement is always contextual and aligned to the organisation’s priorities.
Output: people can engage with technology and AI effectively in their work to produce measurable results for the organisation.
Step 4. Embed
Step 3. Enable
Step 3. Enable
Enable successful digital adoption through effective change management
Procurement and adoption are not one-off events. Embedding successful organisational change requires ongoing transparent and driven effort.
- Reinforcement and follow-up
- Refinement of use cases
- Expansion across teams
- Alignment with governance and strategy
- Supplier roadmap support
This stage ensures that early momentum is not lost and capability continues to grow.
Output: consistent adoption and measurable impact over time.