Your AI Agent Is Not the Risk. Its Authority Is.
Invi Grid CEO Yogita Parulekar on governing AI agent authority, delegated permissions, identity, and secure by design architecture.
AI Governance as Code: From PDF Policies to Pipelines
AiGovOps Foundation founders Ken Johnston and Bob Rapp on governance as code: policies in the repo, automated gates, testable AI controls.
Analytics as Code: Why AI Stops Guessing With Data
Plotly co-founder Chris Parmer on why hallucination stops being the objection when AI writes the code, and who in the enterprise picks it up first.
Never Surrender Agency to the Agent
Clearvision Ventures partner Shomit Ghose on the agentic risk surface, why alignment breaks across a chain of agents, and the Petrov rule for oversight.
Extend Data Governance Into Models, Then Into Agents
BARC’s Kevin Petrie on extending data governance into models and agents, why the top AI control is still a human, and where data quality ranks.
Start AI Governance With the Outcome, or Waste the Spend
Invi Grid’s Yogita Parulekar defines AI governance from first principles: objectives before controls, security inside governance, explainability first.
Detect Intent, Then Tailor Every Screen to the Person
Al Shanmugam of EchoStar on intent-driven personalization: learning a person rather than a segment, and the agents that act on what they want.
AI Agent Sprawl: Govern the Lifecycle Before You Backtrack
Tim Crawford of AVOA on AI agent sprawl: why anyone can build an agent in minutes, why forgotten agents still cost you, and the lifecycle to decide first.
From Clicks to Conversions: Pay Only for Measured Outcomes
Matthew Swanson of Motion Enterprises on agents that replace clicking with conversation, and pricing that charges only for measurable gains in a KPI.
Write the AI Policy Before You Write the AI Feature
Maher Hanafi of Betterworks on earning trust as AI ships: policy and transparency over features, small releases customers opt into, humans still deciding.
Use the AI Tools Yourself, Then Show Your Colleagues
Kenn So on how AI actually spreads inside a company: use the tools yourself, show a colleague, and try a new one every quarter.
Use AI for the Questions Nobody in the Room Will Ask
Chris Butler of GitHub on using an LLM in decision-making: no stake in the hierarchy, no care about power, and in 2025 about 80 percent junk.
AI Is a Tool for Augmenting People, Not Replacing Them
Sean White on AI as a tool that augments people, owning your own intelligence on premises, and the no surprises rule for wearable data.
An AI Committee Needs Every Department and Real Authority
Isar Meitis on the AI committee: who sits on it, what it decides, and why clear guardrails make people experiment more rather than less.
Synthetic Data Has a Place, but It Is Not the Bias Panacea
Matt Maccaux of Google Cloud on whether you can generate your way out of biased training data, and why he leans on humans in the loop instead.
Own Your Own Intelligence Before Your Vendor Learns It
Paul Baier of GAI Insights on what a vendor learns about your business while it processes your data, and the steps he tells companies to take first.