Governance

AI Governance, Data Control & Sanctioned Workspaces

AI for companies whose employees are already using AI with little visibility or control.

The cat is out of the bag.

Employees are using ChatGPT. Teams are trying Claude, Gemini, Copilot, and other tools. Sensitive data may be going into unsanctioned systems. IT and security often do not know who is using what. Leadership wants productivity gains without creating a new data-control problem.

AI governance is no longer theoretical. It is a practical business issue: access, visibility, logging, policy, cost, data protection, and approved ways to use AI safely.

Talk to us about AI governance

Common business cases

Shadow AI usage

Employees are using AI tools without approval, logging, or oversight.

Sensitive data risk

Client, employee, financial, legal, or proprietary data may be leaving controlled environments.

No approved AI workspace

Teams want to use AI, but the company has not provided a sanctioned path.

No visibility or audit trail

Leadership cannot see usage, costs, prompts, models, data access, or risk patterns.

Internal-data AI needs guardrails

The company wants AI over approved company knowledge without turning everything into a free-for-all.

Common workflows

Shadow AI discovery

Identify unsanctioned AI tools, risky usage, and uncontrolled data flows.

Sanctioned AI workspace

Give employees an approved place to use AI with policies, controls, and oversight.

AI DLP

Reduce the risk of sensitive data being pasted, uploaded, or exposed through AI tools.

Approved model access

Control which models and tools employees can use for different kinds of work.

Prompt logging and audit trails

Track usage, prompts, outputs, users, systems, and policy events where appropriate.

Observability and cost controls

Monitor usage, spending, performance, traces, and adoption across AI workflows.

Governed company-data chat

Connect AI to approved company data with permissions, retention, and access controls.

Why it matters

The right vendor can make all the difference

AI governance is not just a policy document.

Copilot licenses are not the same as AI governance. A chatbot is not the same as a sanctioned workspace. An AI gateway is not the same as shadow AI discovery. DLP is not the same as usable employee AI. Connecting company data is not useful if permissions, logging, and retention are wrong.

Innovendis helps identify the actual governance problem, separate security theater from workable controls, and find the right vendor path for your users, data, systems, risk profile, and adoption goals.

Good starting points

Employees are already using AI and we do not know where.

We need a safer way for staff to use AI with company data.

We want productivity gains without losing control of sensitive information.

We need logging, policy, and approved model access.

We need AI over internal data, but permissions matter.

We need visibility into usage, cost, and risk.

We want to reduce shadow AI without simply banning everything.

Book a free consultation

Talk through your AI governance, data-control, or sanctioned-workspace problem.