Enterprise AI governance

AI governance. Enterprise protection. Human confidence.

Aegis AI helps enterprises audit live AI usage, establish workable internal controls, and train teams before legal, privacy, bias, or procurement exposure compounds.

Scope

Audit approved and unofficial AI usage across teams.

Outputs

Policy packs, control maps, and escalation paths.

Coverage

Legal, risk, operations, procurement, and leadership.

AuditPoliciesTrainingCompliant
Trusted operating scope
Privacy controlsVendor reviewHuman oversightTeam enablement
Why enterprises start here

Audit unknown AI usage before it turns into unmanaged risk.

Translate governance into policies operators can actually follow.

Risk posture

Controlled rollout

Review status

Oversight active

Audit. Policies. Training.

Govern AI. Mitigate risk. Build trust.

Practical controls for legal, risk, operations, and leadership teams navigating real AI adoption.

Governance assessment
Step 01

Coverage

Privacy, bias, vendor, and human-review controls

Delivery

Remote advisory for cross-functional enterprise teams

What to expect

Clear process. Honest scope. No compliance theater.

Risk-first recommendations

Every engagement starts with the real exposure: data handling, human oversight, model selection, procurement, and where AI is already in use without policy support.

Documents your team can actually use

Policies, review checklists, intake forms, and escalation paths are written for operators and leadership, not as shelf decor.

Training tied to behavior change

Workshops focus on approved usage, escalation moments, and practical scenarios teams already face.

Services

Governance support built around the way enterprises really adopt AI.

Audit & assessment

Map current AI usage before it creates hidden liability.

A structured review of approved and unofficial AI workflows, third-party tools, prompt practices, sensitive-data exposure, documentation gaps, and decision points that need oversight.

Data leakage review

Identify where confidential, regulated, or customer data may be entering public or weakly governed AI systems.

Bias and accountability checkpoints

Surface decisions that require testing, sign-off, human review, and documented ownership.

Policy drafting

Internal rules that match your operating reality.

Create acceptable-use policies, approval workflows, vendor review criteria, and role-based controls so teams know what is permitted and what requires review.

Team enablement

Staff training for leaders, operators, and risk owners.

Live remote sessions explain approved usage, red flags, escalation paths, and practical examples tailored to HR, legal, operations, procurement, and customer-facing teams.

Pricing

Start with the level of governance your team needs now.

Policy Sprint
$3,500

For teams that need a clear baseline policy and immediate guardrails.

  • AI acceptable-use policy
  • One stakeholder review workshop
  • Basic approval and escalation flow
Governance Audit
$8,500

Best for organizations already experimenting with multiple AI tools.

  • Current-state AI usage assessment
  • Risk register and priority findings
  • Drafted policy pack and controls roadmap
  • Leadership readout session
Training Program
$2,400

Remote staff training for teams that need aligned day-to-day practice.

  • 90-minute live training session
  • Role-based examples and Q&A
  • Shareable internal reference guide

Ready to begin

Bring order to AI adoption before the next tool spreads internally.

If your teams are already experimenting with AI, the right time to set policy, oversight, and training is now—not after a data incident or legal escalation.