Agentic AI
Agents that do work, the workflows that orchestrate them, and the systems they reach. An agent is not a chatbot and not a batch job: it chooses its next step at run time, against tools it was granted, under limits somebody set. Every one of those choices is recorded — which model, which version of which prompt, which tools it held, what it called, what came back, what it cost and who approved it — because "the agent did it" is not an answer anybody can audit.
6 groups · 9 sections · 32 screens
Design
What an agent is, what it may call, and the canvas it is joined up on.
Build 4
What an agent is, what it may call, and what it is allowed to know.
Orchestrate 4
The canvas, the graphs on it, and what starts them.
Reach
The systems outside this platform that agents can talk to.
Connect 3
The MCP servers, APIs and other agentic platforms this company reaches.
Authority
The limits, and what broke them.
Running
What is happening now, what is waiting on somebody, and what came out.
Operate 5
What is running, what is waiting on somebody, and what it produced.
- Monitor
- RunsRead-only
- ApprovalsRead-only
- What Agents ProducedRead-only
- Tool CallsRead-only
Reporting
Cost, value, and whether any of it is trusted yet.
Reporting 8
What the agents cost, what they produced, and how much of it was kept.
- Reports & AnalyticsReport
- Predictive & PrescriptiveReport
- Was It Worth ItReport
- Spend by AgentReport
- Autonomy LadderReport
- Approval LatencyReport
- Connection ReliabilityReport
- Guardrail PressureReport
More
Reachable by link 3
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