Prepare Your Data for AI, Without Increasing Risk
Build Trusted Agentic AI with Data Classification and Labelling
The Leela Palace, Bengaluru, India
Wednesday, December 2 @ 13:00 - 18:00
Agentic AI can transform how teams find information, make decisions, and complete work. But without data classification, labelling, permissions, and governance, it can also create uncontrolled security, privacy, and compliance risk.
Join this practical workshop to define how your organisation can enable AI agents to work with the right data, under the right controls.
- Three hours, working session format
- Cross-functional leadership teams
- Output: a 30/60/90-day action plan
AI Amplifies Your Existing Data Risk
AI depends on data that is visible, governed, and protected. But across Microsoft 365, sensitive files may be overshared, unclassified, stale, or difficult to recover.
Overshared Access, Unknown Data Sensitivity
Teams cannot reliably identify which information is suitable for AI use, which requires safeguards, and which must remain restricted.
Workshop focus: Define practical data categories, labels, and handling rules for AI.
Fragmented Permissions
Content is distributed across cloud platforms, shared drives, collaboration tools, and knowledge bases, often with inconsistent access rules and ownership.
Workshop focus: Map approved data sources, access policies, and least-privilege agent permissions.
Unbounded Agent Actions
Agents can retrieve information, make recommendations, create records, and trigger workflows. Without clear guardrails, approvals, and auditability, small errors can become business-wide risks.
Workshop focus: Establish action limits, approval gates, and audit trails.
Leave with A Practical Framework You can Adapt Internally
During the workshop, you will learn how to:
1. Approved Data Categories
Identify the data categories that should be approved, restricted, or excluded from AI use.
2. Least-privilege Access
Define least-privilege access principles for AI assistants and agents.
3. Agent Action Boundaries
Establish action boundaries, approval gates, and audit requirements for agentic workflows.
4. First Governance Controls
Prioritise the first governance controls needed to move from AI experimentation to controlled adoption.
5. A 30-, 60-, or 90-day Plan
Create a practical 30-, 60-, or 90-day next-step plan for your organisation.
6. Bring Your Priorities. Leave with A Plan.
Places are limited so every team gets working time with our data governance specialists.
Designed for the Leaders Who Must Enable AI Responsibly
This workshop is most valuable when attended by a cross-functional group that can connect business value with enterprise controls.
- IT Leaders
Shape the technology, identity, data, and operating foundations for AI at scale. - Security Leaders
Define safe access, monitoring, data protection, and incident-response requirements. - Data and Information Governance Teams
Build classification, labeling, lifecycle, quality, and ownership standards. - AI Transformation Leaders
Identify scalable use cases and create a responsible AI deployment framework.