AI Needs Assessment & Policy Creation

1. Align the scope. Kickoff with your executive sponsor to confirm priorities, teams, existing AI activity, constraints, and the decisions the roadmap must support.
2. Review existing evidence. We synthesize the strategy, process documents, technology inventories, surveys, and policies you already have.
3. Interview leaders and end users. Focused interviews to find capacity opportunities, time sinks, quality risks, and unofficial AI use.
4. Map and score opportunities. Options across AI assistance, automation, process redesign, training, and cases where no AI should be used, each scored transparently.
5. Validate and sequence the roadmap. A stakeholder workshop picks quick wins and foundational work and sequences them by budget, capacity, and risk.

• Current-state findings: strengths, friction points, readiness, and risk.
• Opportunity register: prioritized use cases with owners and success measures.
• Opportunity matrix: quick wins, foundational investments, bigger bets, and what to deprioritize.
• 90-day roadmap: sequenced next steps with timing and ownership.
• Training and governance needs surfaced by discovery.
• Executive report and readout to validate the plan.

1. Policy discovery. Current tools, existing policies, decision owners, data, requirements, and how staff use AI today.
2. Risk and use-case workshop. Classify real scenarios as permitted, conditionally permitted, or prohibited.
3. Draft the policy suite in plain language.
4. Stakeholder review. One working session to resolve open questions and confirm ownership.
5. Finalize and prepare rollout with one consolidated revision round.

• AI Use & Governance Policy
• Data-handling rules in plain language
• Risk and oversight matrix
• AI tool and vendor checklist
• Rollout and communication plan
• Employee quick-reference guide

Synaptic Labs provides operational AI governance support. This is not legal advice or a security audit.