The SkipFlo Platform
A governed operating environment for AI agents. Real tools, real accountability, real work -- at enterprise scale.
Not a chatbot wrapper. An operating system for AI agents.
The SkipFlo Platform manages every agent you deploy: what it can do, what it costs, what work it is doing, and what it has done. Below is what the platform actually looks like inside the portal.
See what it looks like for your department
Every agent runs on the same platform. These are examples of how it deploys by role.
Every agent has a live dashboard
The portal gives you real-time visibility into every agent: health status, active model, success rate, products, channels, and gateway version. You always know what is running and whether it is healthy.
- Live health checks with last-check timestamp
- Active model, gateway version, and channel count
- Request volume, error count, and success rate
- Trust ID for secure device pairing
Know exactly what every agent costs
The platform tracks spend per agent across every session and task. You set monthly budget caps. When an agent approaches its limit it stops and reports. Nothing silently overruns. Finance gets real numbers, not estimates.
- Per-agent monthly budget caps with hard halting
- Avg cost per task and effective hourly rate vs human equivalent
- Daily spend chart for 7, 14, 30, or 90 day windows
- Session count with active session tracking
Agents work tickets. Everything is traceable.
The platform integrates with Jira and runs its own ticketing system. Agents pick up assigned tickets, work them, and close them with a summary. Every completed task stays queryable with its full cost and token record.
- Active queue with one-click dispatch to agent
- Completed work table with cost and token count per task
- Filter by project, search by summary, sync by date range
- Session link per ticket so you can replay exactly what the agent did
Agents work your actual systems
Products are the tools the platform assigns to an agent. Assign any combination: Jira, shell, browser control, email, Slack, APIs. Each product is scoped with its own credentials and permissions. Agents operate within what you assign -- nothing more.
- Assign or revoke products without redeploying the agent
- Credentials stored and injected securely at runtime
- Browser control for any system without a native API
- Agent-to-agent tool delegation for complex multi-step work
Your processes, baked in
Work instructions are structured task definitions the platform parses and enforces before an agent acts. Plain-language instructions become executable task steps with priority, sequencing, and approval gates. The platform normalizes the request against your business rules -- the agent runs your playbook, not its own.
- Plain language parsed into ordered task steps automatically
- High / medium / low priority with routing logic
- Progress tracked through parsing, generating, applying, and completed
- Failed instructions can be reprocessed without restarting the agent
Talk to your agents. Review their work.
Every agent has a live chat interface in the portal with full session context. You can see the source channel, token usage, and cost per session. Voice calls are logged in the same panel so the complete communication record is in one place.
- Live chat with session context strip showing channel, tokens, and cost
- Session history searchable by keyword with per-session cost
- Inbound and browser-based voice call logging
- Link any session directly to the ticket it was working
Containerized, isolated, and reporting to the portal
Every agent on the SkipFlo Platform runs in its own container with network isolation. It has a unique UUID, a registered hostname, and a trust fingerprint. The agent does not reach out to arbitrary systems -- it operates within what the platform assigns it, and it reports back to the portal on every heartbeat.
The portal registers the agent, issues it a certificate, and maintains visibility into its IP, OS, architecture, and last-seen status. If an agent goes dark, the platform knows. If it exceeds its max concurrent action limit, the platform enforces it.
- Each agent has a UUID, hostname, certificate, and trust fingerprint
- Heartbeat reporting with configurable interval and last-seen IP tracking
- Max concurrent action limit enforced by the platform
- SkippyAI is SkipFlo's own agent -- same architecture runs your custom deployments
Agents have owners, users, and escalation paths
Every agent on the SkipFlo Platform is assigned an owner -- the person responsible for approving actions and escalations. You can also define which users are allowed to interact with the agent at all. Access is not open by default.
Agents can be configured to require owner approval before any session starts. For voice interactions, a phone escalation number routes abandoned sessions to a real human. Human in the loop is not a feature you turn on -- it is a configurable property of every agent deployment.
- Owner assignment with full approval authority
- Allowed users list -- access controlled at the agent level
- Session approval gate requiring owner sign-off before chat begins
- Escalation phone number for human handoff on abandoned sessions
Agents ask before they act on anything sensitive
Products can require human approval before any tool call executes. When an agent hits that gate, it stops and sends an approval request. The approver gets a link, reviews the request description, enters their PIN, and approves or denies. The agent is notified immediately and proceeds accordingly.
Approval links are time-limited and single-use. The ticket is linked in the request so the approver has full context. Nothing gets executed without the decision being recorded.
- Per-product approval gates -- require human sign-off on any tool in that product
- PIN-verified approval links sent to the designated approver
- Time-limited, single-use links that expire automatically
- Full decision record: who approved, when, and on which ticket
Connect to anything. Build integrations without writing connectors.
Products are how you give agents access to external systems. The platform includes built-in products for common services and an AI-powered integration builder that generates tool definitions from a description -- no connector code required. If a product does not exist, the AI builds it. If a native API does not exist, browser control fills the gap.
Each product can be set to require human approval before any of its tools execute. Built-in platform products are exempt -- they are always trusted. AI-generated and manual products follow whatever approval posture you configure.
- AI-generated tool definitions from a plain-language product description
- Quick start library for AWS, Google, Jira, Slack, ServiceNow, and more
- Per-product approval gates configurable independently of the agent
- Public products shared across all agents, private products scoped to one
Credentials are never seen by the agent at runtime
Credentials are stored encrypted in the platform. When an agent needs to use a product, the platform injects the credential at runtime -- the agent receives a valid authentication context, not the raw secret. The agent cannot read, log, or exfiltrate credentials because it never has them.
You assign which credential belongs to which product on which agent. Revoke it from one agent without touching others. Push updated credentials to all assigned agents in one click. The credential itself lives in the portal, not in the agent's environment.
- Credentials stored encrypted, injected at runtime only
- Agent receives an auth context, never the raw secret
- Per-agent credential assignments -- revoke one without affecting others
- Push All button to update credentials across all assigned agents at once
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