Strategic Service

AI Practice Development

Build internal AI practices and governance frameworks that enable sustainable, scalable AI deployment across your organization—without consultant dependency.

The Consultant Dependency Trap

Most companies hire consultants to deploy AI, then can't sustain it internally. We build your capability so you own your AI future.

Without Internal Practice

  • • Perpetual dependence on external consultants
  • • Fragmented AI initiatives with no coordination
  • • Security and compliance discovered reactively
  • • No institutional knowledge retention
  • • Inability to scale AI beyond initial projects

With AI Center of Excellence

  • • Self-sustaining internal AI expertise
  • • Coordinated strategy across business units
  • • Governance preventing issues before they occur
  • • Institutional knowledge compounds over time
  • • Rapid identification and scaling of opportunities

What We Build With You

Comprehensive AI practice infrastructure for sustainable deployment

AI Center of Excellence (CoE)

Central hub coordinating AI strategy, standards, and deployment across your organization

Charter, mission, and success metrics
Team structure and staffing models
Stakeholder engagement frameworks
Maturity assessment and evolution roadmap

Governance & Risk Framework

Policies and processes that balance innovation velocity with security and compliance

AI use case review and approval workflows
Data privacy and security standards
Model validation and testing protocols
Responsible AI and ethics guidelines

Platform & Tooling Strategy

Unified technology stack reducing vendor sprawl and enabling rapid deployment

Vendor landscape analysis and selection
Internal platform architecture design
Integration and API strategy
Build vs. buy decision frameworks

Knowledge Management

Systems capturing learnings so your AI capability compounds over time

Use case library and pattern catalog
Prompt repository and best practices
Internal community of practice
Post-deployment retrospectives

Success Measurement

Metrics and dashboards proving AI impact to stakeholders and guiding investment

ROI tracking methodology
KPI dashboards for leadership
Adoption and usage analytics
Continuous improvement frameworks

Our Approach

Co-Creation, Not Consulting

We build your AI practice with your team, not for them. Your people own the frameworks and know how to evolve them after we leave.

Pragmatic, Not Academic

Governance that enables velocity, not bureaucracy. We design lightweight frameworks that scale as your AI maturity grows.

Proven Templates

We bring battle-tested frameworks from hundreds of deployments, then customize them to your industry, culture, and risk tolerance.

Embedded Support

We work alongside your team during the launch phase, then transition to ongoing advisory as your practice matures.

Expected Outcomes

Self-Sustaining AI Capability

Your organization identifies, evaluates, and deploys AI opportunities independently without consultant dependency

Coordinated Strategy

AI initiatives across business units align to enterprise strategy, preventing duplication and maximizing synergies

Risk Mitigation

Governance preventing security, compliance, and reputation issues before they occur— without slowing innovation velocity

Faster Time-to-Value

Streamlined vendor relationships, unified tooling, and repeatable processes cut deployment timelines by 50-70%

Institutional Knowledge

Captured learnings compound over time, creating sustainable competitive advantage that competitors can't easily replicate

Ready to Build Your AI Practice?

Let's design governance frameworks, CoE structure, and platform strategy that enable sustainable AI deployment at scale.