How the system works, where we point it first, what governs it, and how the work it finishes gets priced. Written from live engagements, as we go.
The market spent this year selling AI by the job title. Two years of real deployments are now in, and they divide along a line the category did not draw: whether the work reconciles against a system of record, and whether escalation was designed in.
Mitchell Gunnels / 10 min read
The rush to build an agent for every task is creating a new generation of software silos. AIOS takes the opposite approach: one cognitive core connected to every task, domain, channel and modality across the business.
Mitchell Gunnels / 7 min read
AIOS is a complete agentic harness for a business: capture, execution, governance, billing, and every channel a customer arrives on. Assembling the equivalent takes at least five platforms, and the seams between them are where omnichannel AI dies.
Mitchell Gunnels / 8 min read
If software is doing the work, customers should pay for finished work, not for seats. Here is how AIOS proves a task was completed before it creates the bill.
Mitchell Gunnels / 7 min read
Three engagement models: a managed service, a Center of Excellence, an embedded pod. One rule applies to all three, which is that what done means is agreed and baselined before any work starts.
Mitchell Gunnels / 6 min read