AGENT OPERATIONS

Where AI agents do real work for the enterprise

Building an agent in a demo is easy. Running it in production is hard. Vertesia Agent Operations keeps your agents running through real enterprise work, inside your business rules and with full audit.

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THE OPERATING LAYER FOR ENTERPRISE AGENTS

What is Agent Operations?

In an AI-native content platform, agents are governed actors. Agent Operations is the operating layer that keeps them durable, adaptive, governed, and observable across your content, processes, tools, and models.

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Durable

Agents keep going through restarts, redeploys, failures, and long waits

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Adaptive

Provider capacity and model limits change. The platform pauses, resumes, and prevents retry storms

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Governed

Agents work inside your business rules, permissions, approvals, and audit

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Observable

Every run shows what agents did, what they touched, what they cost, and where they waited

DURABLE EXECUTION
DURABLE EXECUTION
Long-running work is a strength.

Real business work takes time. A contract review waits three days for a sign-off. A migration runs for weeks. If a system restarts, your agent picks up where it left off. Multi-day processes are a normal part of how Vertesia works.

SMART CAPACITY
SMART CAPACITY
No retry storms. No wasted spend.

When AI providers throttle, most platforms keep hammering them with retries and backoff. This wastes money and makes throttling worse. Vertesia treats provider capacity like air traffic control. Agents ask for clearance before each call. When capacity is unavailable, they pause. When it returns, they resume.

MULTI-MODEL

Pick the best models and agent tools

The best model today may not be the best model in six months. Vertesia supports over one hundred generative AI models, and makes it quick and easy to switch models and providers, all from one place. 

Route by speed, cost, or capability. Mix models inside a single run. Bring MCP-compatible tools into your agents, and expose Vertesia agents and tools through MCP and A2A.

EXPLORE MODELS
AGENT TOOLING

Give agents the tools to act

Agents are only as capable as the tools they can use. Bring MCP-compatible tools into your agents (content search, enrichment, business systems, your own services) and expose Vertesia agents and tools to other platforms through MCP and A2A.

Document management

Agents store, track, and organize every document your team creates, with a full history of every change ever made.

Document search and discovery

Agents search across thousands of documents to find exactly what you need. They use meaning-based search so results match what you meant, not just what you typed.

Document creation and editing

Vertesia agents write full documents for you. They can also edit existing Word documents to fix text, change formatting, and add new sections.

Data import and migration

Agents load data from files, web links, or cloud storage directly into your database. When your data structure needs to change, they handle the update safely without losing anything.

Content organization and taxonomy

Agents organize your documents into labeled groups and apply custom tags so everything is easy to find later.

Data analytics and SQL intelligence

Agents run powerful data queries to answer business questions straight from your data. They can calculate trends, group results, and export findings to a spreadsheet.

Data modeling and schema design

Agents design the structure of your database, deciding what tables, columns, and data types you need. They track all changes to your data model so you can roll back if something goes wrong.

 

Code execution and secure sandbox

Agents write and run code in a safe, isolated environment to process data, generate files, or automate complex tasks. The results are saved and ready for you to download or use in the next step.

Execute parallel work streams

Agents can split big tasks into smaller pieces and work on all of them at the same time, finishing much faster than doing them one by one.

Web research and intelligence

Agents search the web, read full articles, and pull out the key information. You can run dozens of searches at once and get a clean summary back.

Automation and scheduling

Agents can run automatically at any time you choose. You set it up once, and the work gets done on its own.

Interactive dashboards and visualizations

Agents build live charts and dashboards connected to your real data so your team can explore and filter results. Dashboards stay up to date as new data comes in.

Image analysis and visual intelligence

Agents can read, resize, crop, and analyze images or PDF pages automatically. They can also pull key details out of visuals and use them in reports or other workflows.

Every tool call runs inside Agent Operations: governed by your permissions, visible in the run, and recorded in the audit trail.

EXPLORE OUR LIBRARY OF TOOLS
OBSERVABILITY

Full visibility into every run

Every run shows what the agent did, which models it used, what tools it called, what content it touched, what it cost, and where it waited. So you can answer an auditor's question, debug a failing run, and tune cost without guessing.

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AGENT GOVERNANCE

Agents that work inside your rules

An agent in production is an actor in your business, and it's governed like one. Agents operate within your permissions and approval workflows, honoring the same access controls as your people. Sensitive steps can require agentic validation or even human sign-off before an agent proceeds. Every action (every model call, tool call, and content touch) lands in a complete audit trail.

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Defined guardrails

Rest assured knowing the agent performs all tasks within your security guardrails.

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Human in the loop

Get involved at any stage, reviewing decisions and maintaining oversight.

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Observability

Gain full visibility into agent decision-making, so you know the why and how.

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Accuracy checks

Use agents to check the work of other agents, improving efficiency and accuracy.

FREQUENTLY ASKED QUESTIONS

AI agent operations FAQs

What is Agent Operations?

Agent Operations is the operating layer of Vertesia's AI-native content platform. It keeps AI agents durable, adaptive, governed, and observable across your content, processes, tools, and models.

How is Agent Operations different from an agent builder?

Agent builders help you create an agent that works in a demo. Agent Operations keeps agents working in production, through restarts, failures, provider throttling, and multi-day waits, with governance and a full audit trail.

How does Agent Operations handle provider throttling?

When provider capacity is unavailable, agents pause instead of retrying blindly. When capacity returns, work resumes exactly where it left off. No retry storms, no wasted spend, no lost progress.

How does Vertesia keep agents inside business rules?

Agents operate as governed actors. They work within your permissions, approval workflows, and policies, and every action they take is recorded in the audit trail.

Can Agent Operations use multiple models?

Yes. Vertesia supports over one hundred generative AI models. Route by speed, cost, or capability, mix models within a single run, and switch providers from one place.

What does observability show for each agent run?

Every run shows what the agent did, which models it used, what tools it called, what content it touched, what it cost, and where it waited.

Ready for a closer look at AI agent operations?

Bring us an agent that worked in a demo and stalled in production. We will show you why it stalled and how Vertesia Agent Operations handles each problem.