Notes on enterprise AI.
Long-form thinking from the team building Ovatio AI. Roughly half on the architecture choices behind Comply, Knowledge, and Agent, and the other half on what AI is doing to the work of software engineering, knowledge management, and operations.
AI Automation Without Losing Control: Why Human Oversight Still Matters
AI automation can speed work without sacrificing accountability. Learn when human oversight matters and how to build controls into enterprise workflows.
Read more
From AI Experimentation to Business Impact: How to Identify the Initiatives Worth Pursuing
Not every promising AI pilot deserves investment. Learn how enterprise leaders can evaluate AI use cases for value, readiness, and business impact.
Read more
From Bottlenecks to Business Impact: Finding the Work That’s Ready for AI
Not every bottleneck needs AI. Learn how enterprise leaders can identify high-friction workflows and evaluate opportunities for meaningful automation.
Read more
The AI Prioritization Problem: Why More Projects Don’t Always Mean More Progress
More AI projects don’t always deliver more value. Explore how enterprise leaders can prioritize AI investments and focus on measurable business impact.
Read more
From Data Silos to Decision-Making: What Connected Information Actually Makes Possible
Disconnected enterprise data slows decisions. Learn how connected information can improve access to reliable answers without replacing every system.
Read more
The Enterprise Visibility Gap: Why Leaders Can’t See the Full Picture
More dashboards don’t guarantee better decisions. Explore why enterprise data visibility breaks down and how connected information helps leaders act.
Read more
The Next Phase of Automation: From Repetitive Tasks to Intelligent Workflows
Explore how intelligent workflow automation goes beyond repetitive tasks, where AI adds value, and what enterprise leaders should evaluate before scaling.
Read more
Why Adding More Technology Isn’t Making Your Teams More Productive
More software doesn’t always mean more productivity. Learn how technology sprawl and disconnected workflows slow enterprise teams down.
Read more
Pick One Thing: The 90-Day Quick Win
Plan a 90-day AI pilot with one useful use case, clear success measures, scoped staffing, access boundaries, and a practical rollback plan.
Read more
Boring Is a Feature: What Reliable AI Looks Like Day to Day
Evaluate reliable AI beyond the demo: inspect logs, permissions, offboarding, failure behavior, and an exit plan using your real data.
Read more
Answering the Board's AI Question in Three Sentences
Prepare AI board reporting in three sentences: what AI can reach, what it may do, and how changes are reviewed. Bring one measured fact and one ask.
Read more
Hallucinations Are a Sourcing Problem
Reduce AI hallucination risk with inspectable sources, tested access controls, and known-answer checks before relying on enterprise answers.
Read more
Agents Can Act. Decide Now What They Can Touch.
Set AI agent security boundaries before granting credentials: separate read and write access, allowlist actions, require approvals, and keep logs.
Read more
Governance People Will Actually Follow
Build practical AI governance with an approved path, controls at system connections, selective human approval, and useful audit records.
Read more
Where Does It Run, and Who Owns the Data?
Review AI data residency, training, retention, redaction, and ownership before an AI vendor gets access to your business information.
Read more
Three Questions to Ask Before Any AI Project Gets a Yes
Use three AI project security review questions to map access, permitted actions, and sources before approving a chatbot, copilot, or agent.
Read more
Shadow AI Is Already Here. Find It Before You Fight It.
Map shadow AI exposure, review consumer and business terms, and give employees an approved path before tightening controls.
Read more
You Were Asked to Do AI. You Also Own the Risk.
A practical starting point for security leaders asked to advance AI while owning its risks: define access, approvals, and a path to one useful first step.
Read more
Reclaiming the 40%
What happens when you give professionals back the time they were never supposed to spend on overhead. AI doesn't just accelerate work; it enables work that wasn't occurring.
Read more
The End of the Expert Bottleneck
Why your best employee can finally be everywhere at once. AI doesn't replace experts; it multiplies them, breaking the structural constraint that limits what your organization can accomplish.
Read more
Your Company Is Sitting on a Goldmine It Can't Access
How legacy knowledge digitization creates competitive advantages your rivals literally cannot replicate. AI can now capture, preserve, and make searchable decades of institutional knowledge that previously existed only in storage rooms and human memory.
Read more
Want to talk about any of this?
Bring an evaluation question. Bring a deployment question. Bring a strong opinion; we’ll bring curiosity and a whiteboard.