Earlier this year, we introduced Maestro: a new kind of agentic AI system designed to tackle complex, data-intensive tasks with precision. Since then, we’ve seen growing interest from teams across the enterprise—from legal to finance—who are ready to move beyond prototype chatbots and into real-world automation.

Today, we’re making Maestro available to enterprise customers.

Enterprise AI adoption is stuck. Despite the hype around LLMs and agent frameworks, real-world deployment has lagged—especially when it comes to automating high-value, data-intensive business tasks like financial analysis, responding to RFPs, or regulatory compliance review. The reason is simple: most “agents” today are either unreliable—relying on LLMs to make runtime decisions without guardrails—or labor-intensive, requiring teams to hard-code every step of the workflow.

We’re changing that.

The New Standard for Agentic AI

Maestro is not another framework. It’s a system for building reliable knowledge agents. One that understands enterprise context, adapts in real-time, and executes with accuracy, transparency, and speed. It dynamically breaks complex tasks into actionable steps, chooses optimal tools and models, adheres to your cost and latency constraints, and validates every step against your requirements.

This is what makes AI21 Maestro different—and why enterprises are turning to it to automate knowledge work at scale.

Why Most Agents Stall at the Starting Line

For all the excitement around AI agents, the reality is that most fail to make it into real-world use. They hallucinate. They forget context. They’re brittle. And they’re not customized to your use case and data. 

It’s not that the vision is flawed—it’s that the execution is. Traditional agents either follow rigid and labor-intensive hardcoded paths, or they leave too much to chance by offloading reasoning to LLMs—with no structure, no oversight, and growing risk of compounded errors in complex, multi-step tasks.

Worse, they’re often disconnected from your company’s actual data—so they don’t know what matters, or why. And getting them aligned with your data environment, use cases, and workflows can take months of R&D just to get off the ground.

The result? Lost trust. Zero impact. No automation—just endless pilots that never ship.

Precision by Design, Not Just by Prompt

AI21 Maestro is not a framework or a toolkit. It’s an AI system with built-in intelligence that understands the structure of real enterprise work.

At the core of AI21 Maestro is a new kind of agent intelligence. Designed to:

  • Deliver high-quality results using advanced retrieval, reasoning, and self-validation techniques—selecting the best tools at each step (file search, web search, LLMs), validating intermediate results, and running processes in parallel when needed.
  • Accelerate time to deployment by automatically generating a unique, dynamic plan for every task—adapting in real time based on inputs, goals, and constraints like latency or cost.
  • Give you full visibility into results with a visual execution graph and confidence scores—so you can trace how every decision was made.
  • Customize performance to your data and use case through offline simulations that optimize for accuracy, speed, and resource efficiency—before anything runs in production.
AI21 Maestro Agent

All this happens autonomously, without the months of R&D work—manually hard-coding decision logic or error handling flows.

What You Can Do with Maestro

AI21 Maestro is purpose-built for enterprise-grade knowledge work—the kind of tasks that require retrieving, analyzing, and synthesizing data across multiple sources, from financial research to contract analysis and responding to RFPs.

Track Regulatory Shifts Before They Impact You

Compliance teams can feed Maestro a mix of new regulations, historical filings, and internal policy documents. Maestro surfaces what’s changed, aligns it with your existing governance framework, and flags what needs updating—automatically generating a compliance impact summary aligned with your requirements.

Accelerate Customer Insight Reports Without Analysts on Call

Go-to-market teams can ask Maestro: “What are the top customer concerns in Q2 across Europe?” It pulls from CRM notes, support tickets, and feedback forms—then distills the most frequent issues, regional patterns, and product gaps into a structured executive summary. No dashboards. No tagging rules. No delays.

These are just two examples. Anywhere your team is buried in messy, multi-source, data-intensive workflows—Maestro can step in. In the video below you can see how Maestro is used on a compliance use case.

Why Maestro Delivers When Others Don’t

Maestro gives you an end-to-end system that actually works.

It’s:

  • Accurate: Validates each step and output—so you can trust the results.
  • Autonomous: No rigid flows. Maestro plans, adapts, and self-corrects in real time.
  • Adaptable: It learns your data environment and customizes performance to your use case.
  • Transparent: You see what it did and why—down to each step.

Built for Builders. Trusted by Business.

If you’re a developer, Maestro lets you define the goal, the inputs, and the constraints—then handles the rest. You control the models, the tools, and the rules. Maestro executes the workflow, end to end.

If you’re a business leader, Maestro lets your team automate high-value, data-intensive workflows—without the deep R&D, orchestration, or technical expertise that’s typically required. It delivers reliable results your business can trust, and fast.

Let’s Get to Work

Maestro is now open to enterprise teams ready to move past pilots and into production.

Book a custom demo and see what Maestro can do for your most complex workflows—with accuracy, transparency, and speed.