Deploy AI Securely and Responsibly
Establish governance, access controls, and guardrails for responsible enterprise AI use.
What we're usually called in to fix
Leadership is wary of compliance and privacy risk, there's no policy for safe AI use, and staff are quietly using public AI tools with sensitive data — “shadow AI” with no guardrails.
What changes once it's live
Risk reduction, a defensible AI policy your board and auditors can stand behind, staff confidence in what's allowed, and procurement readiness for future AI vendors.
Scope of engagement
- AI risk and readiness assessment (data residency, privacy law, sector-specific compliance)
- AI usage policy drafted and workshopped with leadership, IT, and legal/compliance
- Vendor and procurement evaluation criteria for future AI purchases
- Staff training on safe, permitted AI use
- Quarterly governance reviews as tools and regulation evolve
Our process for this engagement
Assess risk
Interview stakeholders, review current AI usage (sanctioned and shadow), map data flows.
Draft policy
Build a usage policy and procurement checklist matched to your sector's obligations.
Train
Roll out policy training so staff know what's permitted and why.
Review
Quarterly retainer to keep the policy current as tools and regulations change.
How Engagements Are Scoped
Every engagement is scoped after understanding your current environment, business priorities, systems, governance requirements, data readiness, and adoption goals.
Cygnite typically starts with discovery or readiness assessment, then recommends the right path: pilot, phased implementation, rollout, managed support, or a dedicated delivery model.
Book a Discovery CallAI governance review, access controls, responsible AI guidelines, policy support, and adoption guardrails.