Give every AI agent
a controlled path to action.
Register agents, govern the tools and data they can use, enforce business policy at execution, require human approval when risk demands it, and preserve evidence for every consequential action.
Operational overview
AG-04Invoice classificationAllowedAG-07Vendor master changeReviewAG-09ERP posting requestRestrictedAI agents need an operating control plane—not another policy document.
An agent may interpret information and propose a next step, but it should not own the process or receive unchecked authority over business systems. Zaptiva places agents inside deterministic workflows where identity, permissions, accounting-aware rules, approvals, execution, exceptions, and evidence remain controlled.
Govern the action,
not only the AI.
An Agent Management Platform coordinates the controls around an agent. It does not rely on the model to supervise itself.
Identity + delegation
Know which agent is acting, its accountable owner, the user or service it represents, and the purpose it was approved to perform.
Authorization + policy
Evaluate the requested tool, transaction, data, amount, timing, role, and business conditions before granting permission.
Controlled execution
Transform and validate the request, write through a governed connection, isolate failures, and retain a recovery or reversal path.
Evidence + oversight
Preserve the request, policy result, human approval, system response, before-and-after state, and exception history.
ETL is an enforcement point—not the complete governance system.
ETL and iPaaS remain essential for transformation, validation, retries, and dependable system writes. But identity, delegated authority, tool permissions, accounting controls, approvals, and accepted evidence must surround that execution layer. If an agent can bypass the flow and call an ERP tool directly, governance must still follow the action.
Everything the flow needs to hold together.
Designed around the full process—not a single isolated task.
Agent identity + delegation
Register each agent, connect it to a responsible owner, and preserve who or what initiated every request.
Tool-level authorization
Control which tools and transaction types an agent may call—not merely whether it can reach an application.
Business policy controls
Evaluate thresholds, segregation of duties, closed periods, tolerances, required fields, and other deterministic rules before execution.
Human approval gates
Route material, unusual, sensitive, or irreversible actions to the right person with the evidence needed to decide.
Governed execution
Transform, validate, post, retry, contain exceptions, and preserve a reversal or recovery path at the system-of-record boundary.
Evidence + oversight
Record identity, request, context, policy decision, approval, before-and-after state, outcome, and exception history.
Agent Management Platform (AI Governance),
made visible.
This page-specific operating view brings the workflow, its owners, and its outcomes into one clear workspace.
Give every AI agent
A visible path from input to outcome.
Each step stays traceable, recoverable, and owned.
Register
Identify the agent, its human or system owner, approved purpose, environment, and permitted tools.
Evaluate
Check every proposed action against data boundaries, business rules, transaction permissions, and risk thresholds.
Approve
Allow low-risk actions by policy and route higher-risk decisions to an accountable human reviewer.
Execute + prove
Write through the governed integration layer, verify the outcome, and preserve evidence and a recovery path.
Automation your team can see, trust, and improve.
Pick one process.
Build a reusable foundation.
What teams usually ask.
Clear guidance for evaluating fit, scope, ownership, and the path to production.
Is ETL the source of AI governance?＋
No. ETL is an important enforcement and execution point for data movement, validation, transformation, and system writes. Governance also requires agent identity, delegated authority, tool-level permissions, business policy, human oversight, and durable evidence—especially when an agent can call an application directly.
Can Zaptiva connect this application to our existing systems?＋
Yes. Zaptiva can connect Quickbase, ERP, CRM, databases, files, APIs, and other accessible business systems while preserving clear systems of record.
Can we begin with one process?＋
Yes. Zaptiva typically starts with a bounded, valuable workflow, proves it with real users and data, then reuses the foundation for additional processes.
Ready to put agent management platform (ai governance) into motion?
Bring us one stubborn workflow. We’ll show you a practical way forward.