Make adoption possible — turn AI into governed productivity.
Align governance, permissions, and acceptance criteria — then plan a repeatable rollout path you can scale.
• Prerequisites: data, systems, workflows, and ownership\n• Security & compliance: permissions, auditability, governance\n• Decision points: how to start small and scale safely
• Choose high-impact starting points: 6 workflow scenarios\n• Define success: outputs, cost, risk, and boundaries\n• From use case to deployment: data and integration needs
• Live hands-on walkthroughs\n• Architecture discussion and deployment evaluation\n• Partnership conversation and next steps
Before use cases, align the fundamentals: security, compliance, and stability.
Keep data in your environment with access control and auditability aligned to enterprise requirements.
Governance and traceability that support audits and internal acceptance criteria.
Operational guardrails — monitoring, baselines, and recovery — for reliable day-to-day use.
Pick the workflow closest to your business — experience it on-site and discuss how to deploy.
Hands-on experience, architecture discussion, deployment evaluation, partnership conversation.
Choose a workflow scenario and validate the output live.
Deployment model, data sources, permissions, and integration boundaries.
Align scope, risks, and required resources into a next-step plan.
Discuss delivery model and budget planning if you want to move forward.
A premium, accessible venue designed for focused enterprise conversations.
Please complete check-in before 09:50. Starts on time at 10:00.
