AI change foundations & enablement
Turn AI interest into confident use.
Build understanding, prepare leaders and give employees practical support for responsible AI use. Switch connects your enterprise AI story, change strategy and enablement model so people know how to move forward.
The challenge
AI takes more than tools.
- Different levels of AI familiarity and confidence.
- Questions about responsible use and human judgment.
- Aligning direction across different teams.
- Turning interest into practical guidance and support.
- Sustaining progress through clear internal ownership.
What we do with you
Prepare your organization to put AI into practice.
From an AI CoE to enterprise adoption, practical support shaped around your business and your people.
Reimagine the work Identify where AI can create value, enhance how teams work, and clarify where human judgment remains essential.
What this can include
- Prioritize AI opportunities based on business value, feasibility, and risk.
- Define how people and AI can work together to improve outcomes and build capacity.
Establish the AI operating model Define who owns AI, how decisions get made and how ideas move from intake to responsible delivery.
What this can include
- Design governance forums, decision rights and escalation paths.
- Clarify responsibilities across business, technology, data, risk, HR and legal.
Embed new ways of working Make AI part of everyday processes and decisions, with leaders reinforcing new behaviors as the work evolves.
What this can include
- Set expectations for how AI fits into workflows and decision routines.
- Connect the enterprise AI narrative with engagement, coaching and feedback.
Build AI capabilities Equip leaders and employees with the skills, judgment and support to use AI responsibly in their roles.
What this can include
- Design role-based learning and support at the point of need.
- Build Champion networks, communities and mechanisms for sharing knowledge.
Measure and scale business outcomes Track adoption alongside business results, using evidence to improve, scale or stop AI initiatives.
What this can include
- Define success measures and accountable owners before implementation.
- Monitor customer, financial, operational and workforce outcomes alongside quality and risk.
Prepare the organization for AI adoption Connect AI ambition to a coordinated change strategy that builds understanding, prepares leaders, and gives employees practical guidance and support.
What this can include
- Define the enterprise AI story and change plan around employee needs and concerns.
- Equip leaders and managers to explain AI’s purpose, reinforce guardrails and build confidence.
How we partner
Hands-on from decisions to delivery.
Create a shared direction.
Shape the AI story and change strategy around your business and employee needs.
Connect the moving parts.
Align change, communications and learning with governance, tools and program milestones.
Build an internal champion network.
Define roles, support and feedback channels that connect employees with practical AI guidance and peer learning.