Enablement
Building lasting AI capability, not consultant dependency.
The best AI consultancy makes itself obsolete. We don't build dependency—we build capability. Our enablement services ensure your teams can sustain and evolve AI initiatives after we're gone. This means upskilling your workforce, coaching your leaders, deploying tools that create quick wins, and establishing governance frameworks that scale. We measure success not by how long we stay, but by how effectively you operate when we leave.
AI Executive Coaching
Lead AI initiatives with confidence
Leading AI transformation requires understanding both the technology and the business implications. We coach executives and senior leaders to become AI-fluent—able to ask the right questions, evaluate technical proposals, make informed investment decisions, and communicate AI strategy effectively to boards and stakeholders. Not to become data scientists, but to lead AI initiatives with confidence and clarity.
Our Approach
We tailor coaching to your context and learning style. This might include executive workshops covering AI fundamentals, capabilities, and limitations; 1:1 coaching sessions on specific decisions or initiatives; board briefing preparation; or hands-on sessions demystifying AI through practical examples from your business. We focus on practical knowledge you can use immediately, not academic theory.
What You Get
Leadership equipped to ask critical questions about AI proposals and vendor claims, evaluate technical tradeoffs and make informed investment decisions, communicate AI strategy clearly to boards and stakeholders, and identify genuine AI opportunities vs. hype. You'll have the fluency to lead AI transformation without being the technical expert.
Formats
Executive workshops, 1:1 coaching sessions, board briefing preparation, custom formats based on needs
Workforce Upskilling
Build self-sufficient AI teams
Your teams need to build and maintain AI systems long after consultants leave. We upskill your data scientists, engineers, and analysts to handle the full lifecycle of AI development—from problem framing and data preparation through model development, deployment, and operations. We teach through doing, working alongside your teams on real projects while transferring knowledge and best practices.
Our Approach
We combine structured training with hands-on practice. This includes technical workshops on key topics (MLOps, model deployment, evaluation frameworks), intensive bootcamps where teams build complete AI systems, and paired development where we work alongside your teams on production projects, transferring skills through practice. We adapt the curriculum to your technology stack and skill gaps.
What You Get
Teams capable of taking AI projects from conception through production deployment, established best practices and patterns for AI development in your organization, internal documentation and playbooks your teams can reference, and confidence to tackle new AI initiatives independently. You'll have teams that can sustain and evolve AI systems without external dependency.
Formats
Technical workshops, hands-on bootcamps, paired development on real projects, custom programs based on skill gaps
Productivity Tools
Quick wins that build momentum
AI transformation doesn't have to start with massive strategic initiatives. Quick productivity wins build organizational confidence and momentum. We deploy practical AI-powered tools—code assistants, document processing automation, intelligent search, meeting summarization—that deliver immediate value while demonstrating AI's potential. These tools get your organization comfortable with AI while delivering measurable productivity gains.
Our Approach
We identify high-impact productivity opportunities through employee interviews and workflow analysis. Then we deploy proven AI tools (or build custom solutions where needed), configure them for your context and security requirements, and provide training and adoption support. We measure impact through usage metrics and productivity gains to demonstrate ROI and build momentum for larger initiatives.
What You Get
Deployed and configured AI productivity tools integrated with your systems, training materials and adoption support for end users, measurable productivity improvements demonstrating AI value, and organizational familiarity and comfort with AI tools. You'll have quick wins that demonstrate AI's potential while delivering real business value.
Timeline
4-8 weeks for tool deployment, configuration, and initial rollout
Governance & Compliance
Responsible AI that's audit-ready
AI systems create new risks and regulatory requirements. You need governance frameworks that ensure responsible AI development while remaining practical and enabling innovation. We establish AI governance practices covering model risk management, bias testing, explainability requirements, and regulatory compliance. Our frameworks are designed to pass audits while remaining practical for teams to actually follow.
Our Approach
We assess your regulatory requirements and risk profile, then design governance frameworks tailored to your context—not generic policies, but practical processes your teams can follow. This includes model risk management processes, bias and fairness testing requirements, model documentation standards, approval workflows, and compliance documentation. We pilot the framework on live projects to ensure it's practical before rolling out organization-wide.
What You Get
AI governance framework covering model risk management, bias testing, and compliance requirements. Model documentation templates and approval workflows your teams can use. Audit trail and compliance documentation that satisfies regulatory requirements. Training for teams on governance practices. You'll have responsible AI practices that protect the organization while enabling innovation.
Timeline
4-8 weeks for framework design, documentation, and pilot implementation