Build a trusted internal network that helps teams adopt AI responsibly, share practical learning and turn local momentum into organisation-wide capability.
Book ConsultationSustainable AI adoption rarely comes from a central team alone. It depends on people across the organisation who understand how AI can improve real work, can support colleagues in using it well and can recognise when new ideas, risks or barriers need to be escalated.
INTAI AI Champions Programmes help organisations build that capability in a structured way. We support the selection, development and ongoing enablement of a cross-functional network of champions who can encourage responsible experimentation, share practical use cases, reinforce safe working practices and create a stronger connection between frontline experience and central AI leadership.
The result is more than a group of enthusiastic users. It is a repeatable internal capability that helps AI adoption spread with greater consistency, stronger local ownership and better visibility of what is working, where support is needed and where the organisation should act next.
Clarify what champions are there to do, where their responsibilities begin and end, and how the network connects with leadership, technology, governance and learning teams.
Identify people with the credibility, curiosity, communication skills and business understanding needed to support colleagues across different functions and levels of AI maturity.
Equip champions with the knowledge, tools and confidence to support everyday AI use, identify valuable applications and reinforce responsible working practices.
Establish regular forums, shared resources and escalation routes so champions can exchange learning, surface barriers and help useful practices spread across the organisation.
Track participation, recurring support needs, adoption patterns and emerging opportunities so the programme continues to improve and informs wider AI priorities.
A structured internal network that helps AI capability spread beyond a central team and become embedded in everyday work across the organisation.
Take the AI Training Needs Assessment™ to identify where confidence, practical capability and role-specific support are weakest, helping you shape an AI Champions Programme around the real needs of your workforce.
Take Assessment Book ConsultationAn AI Champions Programme creates a structured network of employees who help colleagues use AI more effectively and responsibly within their areas of the organisation. Champions support local adoption, share practical learning, identify useful opportunities and provide feedback to the teams responsible for wider AI strategy, governance and enablement.
Strong champions are usually curious, credible within their teams and willing to help others learn. They do not need to be technical experts. Business knowledge, sound judgement, communication skills and an ability to recognise both useful opportunities and responsible-use concerns are often more important.
Their role can include encouraging responsible experimentation, helping colleagues understand approved tools and working practices, sharing useful applications, identifying recurring capability needs and escalating questions that require specialist input. The role should be clearly defined so champions support adoption without becoming responsible for formal governance, technical support or risk approval.
General training builds capability across a wider audience. A champions programme develops a smaller network of people who can continue supporting adoption after formal training ends. The two work best together: training builds baseline capability, while champions help learning translate into sustained day-to-day practice.
There is no single ratio that works for every organisation. The right network depends on workforce size, organisational structure, geography, adoption maturity and the level of support expected from each champion. Coverage should be designed around meaningful access and representation rather than simply selecting a fixed percentage of employees.
Champions can reinforce approved working practices, help colleagues recognise when sensitive information should not be entered into certain tools and encourage appropriate human review of AI outputs. They should also know when an issue needs to be escalated to governance, security, privacy, legal or other specialist teams.
Champions need an active programme around them rather than a one-off appointment. Regular community sessions, refreshed learning, visible leadership sponsorship, useful resources and clear opportunities to contribute help keep the network relevant. The programme should also evolve as tools, policies and organisational priorities change.
Yes. Because champions understand real workflows, recurring friction and local business needs, they can be an important source of practical opportunity insight. A good programme creates a route for those ideas to be captured, assessed and prioritised rather than remaining isolated within individual teams.
Measurement can include network participation, employee engagement, recurring support requests, capability improvements, responsible-use issues, useful practices shared and opportunities surfaced. The aim is not to measure activity alone, but whether the network is helping the organisation adopt AI more effectively and sustainably.
Start with the AI Training Needs Assessment™ to understand where workforce capability and support needs are greatest, or book a consultation to discuss the size, structure and objectives of an AI Champions Programme for your organisation.
Create an internal network that helps AI adoption spread with greater confidence, stronger local ownership and responsible support where employees need it most.
Strengthen your champions network with services that support wider adoption, leadership alignment, strategic direction and the governance structures needed to sustain AI capability across the organisation.
