Product Concept · AI Platform

Secure Orchestration for Enterprise AI Agents

A middleware layer for coordinating AI agents, retrieval and guardrails across enterprise systems.

01
Overview

A Control Layer for AI Agents

This is a middleware platform that lets organizations run AI agents against internal systems with policy, audit and cost control built in.

Teams define workflows once and the platform handles model routing, retrieval, retries and approvals, so each new use case does not rebuild the same plumbing.

  • Model-agnostic routing with automatic failover.
  • Retrieval connectors for documents and databases.
  • Human approval steps for sensitive actions.
02
Capabilities

Guardrails, Connectors and Observability

Every agent action passes through policy checks, and every decision is recorded with inputs, outputs and cost.

Prebuilt connectors link to common ERP, CRM and ticketing systems, with transactional rollback where the target system supports it.

  • Role-based access and data-scope controls.
  • Token budgets and spend alerts per team.
  • Full audit log with searchable traces.
03
Deployment

Runs Where Your Data Lives

It can be deployed in your cloud account or on-premises, so sensitive data does not leave your environment.

A typical rollout starts with one workflow, proves value in weeks, and then expands to further teams on the same platform.

FAQ

Frequently Asked Questions

Direct answers about engineering methodology, technical tradeoffs, and production implementation.

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Which AI models does a platform like this support?

It is model-agnostic. You can connect hosted models or models you run yourself and switch between them without changing workflows.

Can sensitive actions require approval?

Yes. Workflows can pause for a named approver before any action that changes records or spends money.

Is this a finished product?

This page describes a representative product concept for illustration. BEZENT’s own products will be announced here once they are released; contact us to discuss a tailored build.

Next Steps

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