Drinking Our Own Champagne: How SkipFlo Runs on a Six-Agent AI Workforce
SkipFlo Inc • Enterprise AI & Technology Services
The Challenge
SkipFlo builds AI workers for enterprise clients. But selling the product and living in it are two different things.
As a lean, fast-moving company, SkipFlo faced the same pressures it solves for clients. The CTO was handling infrastructure decisions, deployment coordination, vendor emails, and Jira hygiene all at once. Access management happened manually. The marketing site had no dedicated owner. Platform configuration required direct technical intervention every time something needed to change.
There was also a more fundamental problem. SkipFlo was telling enterprise clients that AI workers could be deployed with proper identity controls, scoped access, human-in-the-loop approvals, and full auditability. If SkipFlo could not demonstrate that internally -- with real agents, real systems, and real governance -- the claim was theoretical at best.
Our Solution
SkipFlo deployed a team of six Skippy AI workers: Lionel, Manny, Chadwick, Silas, Skippy, and Dash. Each has a defined role, scoped access, and a place in a shared operational queue. The architecture is deliberate -- different agents run at different autonomy levels with different access gates, because different work carries different risk.
Lionel supervises the queue and serves as the human-facing entry point for inbound work. His most distinctive capability is the phone interface -- a team member calls in, describes what they need, and Lionel converts it into a structured Jira ticket and routes it to the right agent. He has access to nothing operationally dangerous by design. His power is coordination and follow-through, not execution.
Manny is the only agent with direct access to the SkippyAI application itself -- its workflows, automation targets, and platform configuration. Because that access is real and consequential, Manny operates under the strictest gate in the fleet: even a conversational request triggers an MFA approval requirement before any action executes. Every session is gated. Every action is logged.
The remaining agents each operate within a contained scope matched to their role. Chadwick handles identity and access management but never acts without explicit human approval tied to a Jira ticket. Silas manages the marketing site autonomously but cannot touch anything beyond it. Skippy runs in an internally-hosted lab environment, isolated from production. Every agent, regardless of autonomy level, creates a ticket for every task. If it happened, there is a ticket.
The Results
SkipFlo's internal AI workforce now handles work across the full operational surface of the company -- platform configuration, access management, marketing, infrastructure, and coordination -- all through a governed queue with a complete audit trail.
The CTO's time is no longer consumed by operational overhead. Work enters by phone call, Slack, or direct assignment. Lionel routes it. The right agent executes it. The ticket closes with a full record of what was done.
When a prospective client asks whether Skippy can operate in their environment without creating access sprawl or bypassing existing approval workflows, SkipFlo's answer is concrete. The product is real. We know because we run it.
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