Implementing Gen AI has become essential for a future-proof business edge. Yet, turning this powerful technology into a fundamental AI in the workplace habit is where many enterprises falter. VML Enterprise Solutions offers a proven, people-first approach to bridge the gap between AI hype and true AI Integration.
Our research, highlighted in the VML "AI at Work" report, reveals a significant disparity: while most leaders recognize AI's potential, actual Generative AI adoption remains low. It's a "people challenge," not just a tooling problem. Success hinges on ensuring your workforce is aware, engaged, equipped and confident to embrace AI.
Our Unlock whitepaper "From Hype to Habit: Embedding Gen AI to Secure an Essential, Future-Proof Edge" presents a practical, people-first approach to Gen AI enablement, grounded in change management to embed Gen AI into day-to-day work – with four core principles to align leadership, assess readiness, build a change network and sustain momentum.
Enterprise AI Strategy: Secure Your Future with Gen AI
Our Unlock whitepaper reveals how VML's people-first AI Maturity Framework provides a clear roadmap to future-proof your enterprise with Gen AI
Generative Al is here, but widespread adoption remains elusive for many organizations.
Download our whitepaper "From Hype to Habit: Embedding Gen AI to Secure an Essential, Future-Proof Edge" here:
Master Your Enterprise AI Strategy with VML's AI Maturity Framework
Don't just experiment with AI—master it. Navigate the complexities of organizational AI readiness with the VML AI Maturity Framework. Our proven model provides a clear roadmap for successful AI integration, moving your business from manual processes to a fully agentic, future-proof business with AI.
The VML framework outlines five stages of AI maturity:
- Manual: No AI in place
- Basic: Basic AI tooling and prompts
- Augmented: AI-assisted actions in workflows
- Intelligent: Application of agents for discreet tasks
- Agentic: Fully autonomous end-to-end processes
These stages are supported by three critical AI Enablement Programs phases:
- AI Discover Phase: Identify high-impact areas (Manual & Basic stages)
- AI Transform Phase: Re-engineer and integrate solutions (Augmented & Intelligent stages)
- AI Scale Phase: Institutionalize successful initiatives (Agentic stage)
With VML, you gain a shared language to assess "where you are now" and "what good looks like next," guiding your journey from Manual to Agentic AI.
Helen McCoull
Senior Consultant, VML Enterprise Solutions
VML's People-First Approach: Driving AI Cultural Transformation
We believe the success of your enterprise AI strategy depends less on algorithms and more on the people who adopt them. Our approach is grounded in AI change management principles, ensuring sustainable employee AI adoption.
VML's Four Core Principles for AI Integration:
- Leadership Alignment and Vision Communication: We partner with enterprise leaders to build and communicate a compelling vision for AI in the workplace. Our AI cultural transformation campaigns answer "what's in it for me?" for every role, proving the competitive advantage AI delivers.
- Assess Organizational Impact and Readiness: We conduct holistic assessments using frameworks like the McKinsey 7S Model for AI to analyze strategy, structure, systems, skills, staff, style, and shared values. This uncovers your true Organizational AI Readiness and builds an evidence-based change blueprint.
- Develop Your AI Change Network: Establish an AI Champions Program across all levels. These trusted advocates receive early access, targeted training, and become "agent owners" as autonomy grows, facilitating grassroots Employee AI Adoption.
- Sustain Momentum and Foster Continuous Innovation: Address the AI Skills Gap with practical, role-specific training. Foster psychological safety for "safe-to-fail" experimentation, ensuring continuous adaptation and improvement in your Responsible AI Implementation.
Let's Talk
Don't let your Gen AI adoption remain a novelty. VML Enterprise Solutions AI combines deep change management expertise with hands-on experience, recognized by Forrester for our ability to bridge executive ambition with everyday reality.
We empower your people with the skills, confidence and mindset to transform Gen AI from a mere tool into a truly embedded capability, ensuring your AI cultural transformation leads to lasting AI for business growth.
Ready to turn AI hype into a powerful business habit? Let's talk.
ANSWERS TO YOUR QUESTIONS ON GEN AI FOR ENTERPRISE GROWTH
Gen AI adoption fails primarily because organizations treat it as a technology project rather than a human transformation. Research from VML's AI at Work report shows that while 61.3% of employees used AI in 2025, average usage was just 11 times per month — revealing that AI remains a novelty rather than a daily habit. The core problem is a leadership-frontline disconnect: 77.3% of business owners believe leadership supports AI, but only 37.8% of entry-level employees agree. Without structured change management, people-first enablement, and sustained communication, AI tools are adopted in name only.
The VML AI Maturity Framework is a five-stage model that helps enterprise leaders assess where their organization currently stands with AI and plan the next step forward. The five stages are:
Manual → Basic → Augmented → Intelligent → Agentic
These stages map across three enablement phases: Discover, Transform, and Scale. Leaders are advised to map each business function to its current stage, identify only the next stage (not jump straight to Agentic), and align process, governance, and capability development accordingly. The framework applies universally — to marketing, HR, finance, customer service, and operations — not just technology teams.
According to VML's From Hype to Habit guide, the four principles for sustainable Gen AI adoption are:
1. Leadership Alignment & Vision Communication: Leaders must actively guide mindset shifts, not just endorse AI in boardrooms. This includes running multichannel AI Vision Communication Campaigns tailored to every role, from C-suite to frontline.
2. Assess Organizational Impact & Readiness: Use frameworks like McKinsey's 7S model to conduct a 360-degree readiness assessment, closing the gap between the 80% of business owners who feel AI-ready and the 42.2% of entry-level employees who do.
3. Develop a Change Network: Appoint AI Champions across functions and seniority levels who model behaviors, handle resistance, and evolve into "agent owners" as AI autonomy grows.
4. Sustain Momentum & Foster Continuous Innovation: Build role-specific training, create psychological safety, and use sandbox environments so teams can experiment, fail safely, and iterate.
A significant skills perception gap exists in most enterprises: 74% of business owners believe their company provides adequate AI training, but only 27.4% of entry-level employees agree. To close this gap, organizations should:
- Deliver practical, role-specific training rather than generic AI overviews
- Stand up "safe-to-fail" sandbox environments where employees can experiment without risk
- Appoint AI Champions — trusted peers (not necessarily the most senior) — who provide relatable support and translate AI capability into everyday language
- Address job displacement fears directly through transparent communication and active listening
- Progress learning environments from introductory sandboxes (Discover phase) to production-adjacent pilots (Transform phase) to monitored optimization loops (Scale phase)
VML's five actions for enterprise leaders checklist provides a practical roadmap for converting AI experimentation into durable, enterprise-wide capability:
1. Align leadership and communicate the vision: Define a role-specific "what's in it for me?" and run a sustained, multichannel AI Vision Communication Campaign.
2. Run a holistic readiness and impact assessment: Map functions to maturity stages and use the McKinsey 7S model to build an evidence-based change blueprint.
3. Establish and equip an AI change network: Recruit champions, provide early tool access and change management skills, and evolve them into agent owners as autonomy grows.
4. Build capability and safe-to-fail experimentation: Deliver role-based training, stand up sandboxes, and use telemetry to learn and iterate.
5. Govern and scale responsibly: Define guardrails for Intelligent and Agentic work, instrument usage and outcomes, and reinforce psychological safety for continuous adaptation.
Download our whitepaper "From Hype to Habit: Embedding Gen AI to Secure an Essential, Future-Proof Edge" here:
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