Strategy
AI strategy built for measurable outcomes.We align AI initiatives to business goals, security posture, and compliance requirements—no hype, just practical wins.
You get a ranked set of AI opportunities, a governance framework, and a pilot plan that respects identity, data boundaries, and compliance.
Engagement steps
Stakeholder interviews, goals, and risk tolerance.
Score use cases by value, effort, and readiness.
Define governance, data access, and reference architectures.
Pilot selection with KPIs, owners, and adoption approach.
Strategy focus areas
Roadmap
Balanced 90-day and 12-month plans that tie AI to business outcomes.
- Outcome-driven prioritization
- Dependencies and change impacts called out
- Aligned to IT, security, and operations goals
Governance
Guardrails that keep AI use compliant and auditable.
- Identity, MFA, and conditional access guidance
- Data boundaries, retention, and logging
- Acceptable use and exception paths
Data & Access
Ensure the right data is available safely.
- Source inventory and access patterns
- DLP and least-privilege controls
- Audit and monitoring requirements
Adoption
Enablement plans that drive usage.
- Training and playbooks for teams
- Usage measurement and feedback loops
- Communication aligned to change management
Frequently Asked Questions
Yes. We operate collaboratively with IT and security stakeholders and map responsibilities clearly.
We create governance and acceptable use guidance tailored to your stack and risk tolerance.
Each pilot has baseline metrics and KPIs so value can be measured and reported.
Make AI adoption intentional.
Get a strategy that balances speed, security, and measurable value.