Six practice areas. One analytical standard.
Each engagement draws on the same commitment to rigorous diagnosis and clear, senior-led advice. What changes is where in the technology and data lifecycle we are focused.
For executives who need to move from AI curiosity to AI capability without betting the organization on an approach that does not fit their context.
What the engagement covers
We begin with an honest assessment of your current data and technology landscape, your team's actual capabilities, and the business problems that AI could plausibly address. Most organizations over-invest in tools and under-invest in the strategic clarity that makes those tools useful.
The output is a sequenced AI roadmap that connects specific use cases to specific business outcomes, with clear dependencies, build-versus-buy guidance, and governance requirements called out at each stage. We also help you build the internal case for investment, because the roadmap is only as valuable as leadership's confidence in it.
Typical Deliverables
- Current-state AI and data capability assessment
- Prioritized use case inventory with business case for each
- Three-year AI roadmap with sequencing rationale
- Build / buy / partner recommendations by use case
- AI governance framework and risk considerations
- Executive presentation and board-level narrative
For organizations that know their data is a problem but have not been able to build the structure, ownership, and trust needed to fix it systematically.
What the engagement covers
Data governance fails when it is treated as a compliance exercise rather than an operating model. We design governance frameworks that are practical enough for people to actually follow, starting with the data domains that matter most to your decisions and working outward from there.
On the architecture side, we work with your technical teams to evaluate and redesign data pipelines, storage models, and integration patterns. We are not a systems integrator, but we know enough about modern data stacks to make sure your architectural decisions are sound before you build them.
Typical Deliverables
- Data landscape and quality assessment
- Target-state data architecture design
- Data governance framework and ownership model
- Data dictionary and domain definitions
- Technology stack evaluation and recommendations
- Implementation roadmap with phasing and dependencies
For organizations navigating platform modernization, cloud migration, or major system consolidation and needing senior oversight that does not have a vendor agenda.
What the engagement covers
Large technology transformations fail for predictable reasons: underestimated complexity, misaligned stakeholders, and insufficient attention to what happens on day one of the new system. We provide the advisory layer that keeps these projects honest from scoping through go-live.
We work alongside your internal teams and your implementation partners, not instead of them. Our role is to maintain strategic alignment, surface risks early, and make sure the business requirements are not getting lost in technical translation.
Typical Deliverables
- Transformation scope and complexity assessment
- Vendor / platform evaluation and selection support
- Program governance structure and RACI
- Risk register and mitigation planning
- Business requirements validation and traceability
- Go-live readiness assessment
For organizations that understand adoption is where technology ROI is won or lost, and want to treat it as rigorously as any other workstream.
What the engagement covers
Change management is often bolted on at the end of a technology project, which is exactly why most technology projects underdeliver. We integrate change strategy from the beginning, starting with stakeholder analysis and impact assessment well before any system goes live.
We design training programs, communication plans, and adoption measurement frameworks that are specific to your workforce and your change. Generic change management templates do not move people. Specific, credible communication from the right leaders at the right time does.
Typical Deliverables
- Stakeholder analysis and impact assessment
- Change readiness assessment
- Communication strategy and messaging architecture
- Training needs analysis and program design
- Adoption metrics and measurement framework
- Post-go-live support and reinforcement plan
For organizations that have data and reporting tools but are not yet making materially better decisions because of them.
What the engagement covers
The gap between having data and making data-driven decisions is larger than most organizations realize. We close that gap by working at both ends: improving the quality and accessibility of analytical outputs, and building the analytical literacy and decision processes that allow those outputs to be used well.
Depending on your maturity, this might mean redesigning your executive dashboard suite, building a predictive model for a specific business problem, or establishing the data culture and decision frameworks that make analysis part of how people actually work.
Typical Deliverables
- Analytics maturity assessment
- KPI framework and metric hierarchy design
- Dashboard and reporting architecture
- Predictive model development and validation
- Decision process redesign
- Analytical capability building plan
For organizations in transition that need experienced technology leadership now, without a lengthy permanent hire process or a full-time executive cost structure.
What the engagement covers
We operate as a working fractional executive, not a strategic advisor who attends one meeting a week. That means running the data or technology function day to day, making decisions, managing vendors, presenting to the board, and building the organizational capability that allows a permanent hire to succeed when the time comes.
The engagements typically run three to twelve months. We structure them to leave your organization stronger, with clearer priorities, a stronger team, and a well-documented function that any competent successor can take over.
Typical Scope
- Active leadership of data or technology function
- Team assessment, structure, and hiring support
- Vendor relationship and contract management
- Executive and board reporting
- Strategic planning and budget development
- Permanent hire specification and onboarding support
Sector experience across eight verticals.
Tell us what you are trying to solve.
Most conversations start with a 30-minute call. No agenda beyond understanding your situation.