VCL AI Adoption
AI Potential ยท Business Competence
VCL Solutions, part of TTM Associates Group
An AI capability enablement solution for the enterprise. VCL AI Adoption develops the AI capability of an enterprise at three levels at once: executives, managers and professionals. Each level builds the knowledge, skills and behaviours its role requires, on a government-backed competency standard, and every gain is measured against a baseline. The result is an organisation that uses AI responsibly, ethically and with confidence, and can demonstrate it.
Phase
Duration
What happens
You get
Assess
3 to 4 weeks
A short survey, structured interviews and an inventory of the AI tools already in use establish where each level of the organisation stands.
A capability baseline per level and a recommended scope.
Align
2 to 3 weeks
Leadership agrees the direction and the rules before anyone is trained: what AI is for, which tools are sanctioned, who decides what, and how success will be measured.
An AI usage policy, agreed roles and targets for the first cycle.
Deliver
8 to 12 weeks per cycle
Each cycle activates knowledge, applies it to real work and anchors it as working practice. Each cycle builds on the last.
Knowledge scores before and after, assessed work products, and behaviour commitments followed up in the workplace.
Advance
3 to 4 weeks, then quarterly
The baseline measures are repeated, the change is reported, and the next step is agreed: a further cycle, another level, or hand-over to the organisation.
A results report for the board.
Pillar
In the programme
Measured by
Knowledge (taught)
Becomes the session content: how AI works, its limits, and the rules that govern its use.
Knowledge checks before and after.
Skills (practised)
Becomes the applied exercises on the organisation's own cases.
Scenario judgement checks and rubric-assessed deliverables.
Behaviours (lived)
Becomes the commitments and workplace assignments.
Self-ratings at baseline, repeated four weeks after each session.
Board and executive committee. 6 briefings, 11-week journey.
Short fortnightly briefings with ten-minute pre-reads. Each briefing produces a governance deliverable the organisation retains.
Code
Session
Format
Length
L1
AI strategy and value
Briefing
90 min
L2
Governance, ethics and regulatory readiness
Briefing
2 h
L3
Investment, procurement and platform decisions
Briefing
90 min
L4
Workforce transformation and culture
Briefing
2 h
L5
Risk, assurance and incident readiness
Briefing
90 min
L6
External representation and public trust
Briefing
1 h
An AI strategy on a page: priorities, guardrails and decision rights
A governance and regulatory readiness checklist, with criteria for evaluating vendors and platforms
Risk register entries, an incident escalation path, a workforce transformation plan outline, an external positioning statement and a stakeholder map
Middle management and team leads. 6 workshops, 11-week journey.
Fortnightly workshops, each followed by an applied assignment completed in the manager's own team: compliance, opportunity cases and vendor oversight.
Code
Session
Format
Length
M1
Leading by example: championing responsible AI
Workshop
3 h
M2
Coaching and first-line support for AI use
Workshop
3 h
M3
Policy, compliance and risk in the team
Workshop with workplace assignment
3 h
M4
Spotting opportunities and feeding back to leadership
Workshop with workplace assignment
2.5 h
M5
Managing the team through AI-driven change
Workshop
3 h
M6
Owning an AI initiative: alignment and third-party tools
Workshop with workplace assignment
4 h
A team-level AI risk and readiness assessment with a live compliance view
Opportunity cases, built from team insight, that leadership can act on
A vendor oversight assignment applying the organisation's assurance criteria to a third-party tool
Everyone who uses AI in their role. 5 sessions, 8-week journey.
Two e-learning sessions, three workshops, a workplace application log and a personal development plan.
Code
Session
Format
Length
P1
Recognising AI and your rights as a user
E-learning
1 h
P2
Personal data, privacy and trustworthy content
E-learning
1.5 h
P3
Adopting AI tools in everyday work
Workshop
3 h
P4
Professional judgement and responsible use of AI outputs
Workshop
3 h
P5
Adapting your role and growing with AI
Workshop with workplace assignment
2 h
A workplace application log per participant: the task, the AI output, the check applied and the decision taken
A personal development plan that responds to AI-driven change in the role
Knowledge scores before and after, and behaviour ratings at baseline and four weeks on, per competency
A cohort report per level: capability demonstrated per competency, on knowledge, skills and behaviours, with the workplace evidence behind each score.
No two organisations start from the same position, so no two cohorts run the same programme. Three inputs shape every engagement.
Your industry. Cases are drawn from your sector and your own operations, so the judgement participants practise is the judgement their role demands.
Your technology environment. Sessions run on the AI tools you have adopted or are evaluating. Verification practice is taught to hold whichever tool is in use.
Your baseline. The Assess results determine which sessions each level needs, how far each goes, and where the first cycle begins.
Practice happens on real work, so the environment it happens in matters. The organisation chooses the workspace; the standard of care is the same in both.
Your sanctioned tools. Delivery on the enterprise AI tools the organisation already governs, under its own access controls.
An enterprise-grade secure sandbox. Where no sanctioned tool is yet in place: named data residency, no training on inputs, one login per participant, access closed at programme end.
Organisational data never enters a public tool.