Start With What the Agent Will Act On
Across the enterprise estate, agentic AI is being wired into legacy systems and decision workflows at speed. Agents are moving beyond summarising documents and drafting emails. They are reading from core systems, making calls and executing them inside processes that matter.
Analysts have started calling this the next shadow IT challenge, and IT leaders are right to want a handle on agents that spread faster than anyone can track them. The lasting fix goes one level deeper than tracking the agents. It is to give each agent a clear, shared definition of the process it acts on.
Many of the processes agents now run were never written down. They live in people’s heads. An agent working on one of those processes has to infer it, and that is where you can make the difference.
Turn Tribal Knowledge Into Something Shared
Real processes are rarely the ones in the procedure document. They live in the exceptions, the workarounds and the know-how a senior team member carries. The documented version describes intent and the tribal version describes practice. Bringing the two together is valuable long before any agent arrives.
When an agent automates a process, it carries over the gaps and assumptions along with the steps. An agent applies the pattern it inferred every time, with no hesitation and no flag, where a person would catch the edge case. Writing down what correct looks like gives the agent something to check itself against, and gives you something to review, audit and trust. When risk or a regulator asks a question, you can answer with the definition. This matters more as you start connecting AI to your process estate at scale.
Make Legacy Integration an Advantage
Legacy systems encode old process logic that no one fully documents any more. The people who understood why a validation runs in a particular order have often moved on, and the system still enforces the rule.
Each new integration connects an agent to another system with its own logic, and the agent reasons across all of it. Integration is excellent at moving data reliably between systems. What it needs alongside it is a common definition of what the process is trying to achieve, so every team wiring in agents points at the same source. That is what the Platform is built to provide: not another integration layer, but the process definition the integrations can share.
Give Your Stack a Process Layer It Can Trust
IGX360 provides a written, machine-readable process layer: a structured definition of the process, including the decision points, the controls and the exceptions that tribal knowledge used to carry, with the owner and freshness of each visible.
That layer is exposed through an Open API and a canonical model, so it becomes a defined input your orchestration and automation stack can consume directly. Each agent acts against one definition rather than inferring the process from whatever data it can reach.
The payoff for governance is traceability. When an agent acts on a defined process, you can trace its behaviour back to the definition, check it and audit it. When the definition changes, every agent consuming it sees the same change. Iggy and the API surface are how that definition becomes available to your stack: the access point your orchestration layer calls when it needs to know what the process is. For IT and architecture teams, this turns a governance principle into something you can wire in.
Define, Then Automate
An agent on a defined process is an asset you can govern. Get the process written down, expose it as a trusted input, then let your agents act on it. Definition first and deployment second is the whole sequence, and it is a short one.
A useful question for your next deployment: can you show the process the agent will act on?
Talk to IGX about giving your automation stack a process layer it can trust.