Three lenses on the same problem: most organizations are adopting AI, almost none are ready to scale it.
Enterprise AI Readiness
Diagnoses exactly where AI rollouts stall before they reach production, and what the organizations that scale do differently.
AI Governance as Infrastructure
Reframes access control and cost visibility as the infrastructure that makes enterprise AI deployable at scale.
The founder behind the systems
Adisorn Ratanakovit has spent 20+ years building enterprise software systems. He founded Aureum Technologies in 2009. In 2023 he launched Complete, a platform that gives business teams the power of AI coding agents without a developer in the loop.
His perspective sits at the intersection of enterprise AI infrastructure, business workflow automation, and organizational readiness. It's the layer most AI conversations skip on the way to the demo.
For event leads: his sessions leave a room with a framework, not a feeling. Governance, cost visibility, and model flexibility aren't constraints on his stage. They're the infrastructure that makes enterprise AI deployable at scale.
Every session leaves a room
with something to act on
The readiness diagnostic
A practical way to check if your org can actually scale AI.
The three governance failures
What kills AI rollouts before they reach production.
Real automation architectures
What HR, finance, and ops automation looks like once it's live.
The access bottleneck
Why business users, not just developers, need direct agent access.
Cost as infrastructure
Why cost attribution is now a scaling requirement, not a finance-team ask.
Model flexibility
Why lock-in to one model is the most underestimated enterprise AI risk.
For events that want the room for building
Attendees leave with a working app or a running automation.
Enterprise Vibe Coding:
Live App Building
Rapid application development for real business apps, built live in the room. Attendees go from a business requirement to a working internal tool without writing code line by line.
Turning a business spec into a working app in a single session
Where "vibe coding" breaks in an enterprise context, and how to architect around it
What separates a working prototype from something IT will actually approve
Coding Agents for Business Process Automation
A practical session on using coding agents to automate real workflows: HR, procurement, compliance, finance, and operations. Runs on Complete, with collaboration and governance built in.
Identifying which business processes are actually good candidates for agent automation
Structuring a workflow so an agent can run it reliably, not just demo it once
The coordination and governance layer that turns a personal automation into an organizational one
