What does make, orchestrate, manage mean for agents?

Make: use the built-in H2O AI Super Agent or build custom agents with Agents Builder and Flow. Orchestrate: connect tools over MCP, let agents talk over A2A, and plan across systems. Manage: log every step, attribute cost per team and task, evaluate in Eval Studio, and add human approval gates.

Can I keep the agents I already built?

Yes. Enterprise h2oGPTe is designed so custom agents, including those built on LangGraph, CrewAI, or the OpenAI Agents SDK, co-exist with the built-in H2O AI Super Agent, each with their own tools and configuration.

How do you evaluate an AI agent before production?

H2O Eval Studio runs Model Risk Management workflows on agent-based systems. Eval Studio covers topic modeling on your corpus, automated test generation, groundedness and leakage evaluators, human-calibrated thresholds, failure clustering, and robustness testing with adversarial prompts.

What is the Data Science Agent?

One of the nine H2O AI Super Agent types. It drives Driverless AI, runs H2O-3 in Notebook Labs, calls tabH2O for instant predictions, and hands models to MLOps. It operates the predictive engines; it does not replace them.

Agents that get work done. Governance that lets them.

Make agents, orchestrate them across the tools you already run, and manage them with the same audit trail a regulator expects of a model. The H2O AI Super Agent is the orchestration layer underneath.

Request a demo How the Super Agent uses it

Part of the Trusted Sovereign AI Platform.

Key takeaways

The H2O Agentic AI Platform is Make, Orchestrate, Manage: build agents, connect them over MCP and A2A, and govern them with logging, evaluation, and cost attribution.
The H2O AI Super Agent is the orchestration layer underneath, with nine agent types and 27 built-in tools.
Gartner predicts over 40% of agentic AI projects will be canceled by the end of 2027, citing cost, unclear value, and weak risk controls.
Existing agents co-exist with the Super Agent, so H2O.ai orchestrates what you already own rather than asking you to rebuild.
The Super Agent runs inside Ask AT&T and ranked #2 worldwide on the FutureX leaderboard in July 2026.

What is Agentic AI

Agentic AI is software that plans a goal, uses tools to act on it, and adapts as it goes.

Building the agent is the easy part. Agent projects break in four predictable places, and Gartner expects more than 40% of them to be canceled by 2027.

01UnmaintainableFrameworks hand you an agent for each workflow and a maintenance bill for each agent. Ten use cases become ten codebases and ten things to patch.
02UnaccountableAn agent took an action. Which tool, which data, which model, on whose authority? Without a trace, the first incident is the last one legal allows.
03UnbudgetedEvery step is a model call and every retry another. Agent spend arrives as a surprise, never attributed to a team, a task, or a decision.
04UnshippedThe demo worked on curated data. Production means messy documents, flaky tools, and a model risk team asking questions the framework cannot answer.

The record

9agent types in the H2O AI Super Agent

27built-in tools, plus MCP and A2A

#2worldwide on the FutureX leaderboard, July 2026

40%+of agentic projects canceled by 2027, Gartner

What the H2O Agentic AI Platform does

One orchestration layer for agents, not one framework per agent.

The H2O AI Super Agent makes, orchestrates, and manages agents from one place, with governance built in rather than bolted on.

Make agents, or use oursUse the built-in Super Agent, or build your own with Agents Builder and Flow. Nine agent types ship ready, from Deep Research to Code.
Orchestrate, don't rebuildConnect tools over MCP, let agents talk over A2A, and reach into ERP, CRM, data platforms, and the browser. Read the plan before it runs.
Manage every agent actionEvery step is logged and every cost attributed per user, team, and task. Evaluate agents in Eval Studio before they ever touch a customer.
Retrieval that reasonsAgents ground every plan in your documents with citations, then act. Retrieval becomes a step in reasoning, not a chat feature bolted on the side.
Predictive AI, from a sentenceThe Data Science Agent drives H2O Driverless AI, runs H2O-3, calls tabH2O, and hands models to MLOps. It operates the predictive engines, not replaces them.
Packaged vertical agentsAgents built for a specific job, such as FinCrime investigation, run on the same platform and are governed exactly the same way.

What's in it

The tools in the H2O Agentic AI Platform.

Enterprise h2oGPTeThe enterprise GenAI platform that ships the Super Agent.Explore

How you use it

Orchestrate what you already own.

Most organizations did not wait. They have agents in pilots, copilots from three vendors, and a data platform that just added its own. The H2O AI Super Agent does not ask you to start over. It governs and scales the agentic investments you already made, and adds the ones you are missing.

Co-existence by designCustom agents run alongside the built-in Super Agent, each with their own tools and configuration. Nothing gets thrown away.

Open protocolsMCP for tools, A2A for agents. Connect once, use everywhere. Nothing proprietary in the seams between systems.

Built with youForward Deployed Engineers wire the first agents into your systems and hand over something your own team owns and runs.

Where it fits

The layer where agents run, across every capability.

The Super Agent sits above the predictive and generative lanes and reaches into both. It serves all four capabilities, not just this one. Highlighted are the Super Agent and the h2oGPTe platform it ships in.

Your existing agents, built on LangGraph, CrewAI, or the OpenAI Agents SDK, are hosted and governed alongside the Super Agent. An addition to your stack, not a migration off it.

Run it anywhere

You operate it, or H2O AI operates it for you.

Same platform either way: the same capabilities, the same governance, and the same audit trail. The choice stays open, so you can switch between them as the business changes, without rebuilding what runs on top.

We run itH2O AI Managed Cloud (HAMC)A dedicated, single-tenant cloud that H2O AI provisions, operates, and secures, across fault-tolerant availability zones in the region you choose. Your data never leaves it. Zero-trust access, encrypted in transit and at rest, constantly monitored.AWSAzureGoogle CloudSOC 2 Type 2 · HIPAA / HITECHLearn more You run itH2O AI Hybrid Cloud (HAHC)The full H2O Sovereign AI Platform, entirely within your control, on your own infrastructure or fully air-gapped. You own the environment, the updates, and the compliance posture. Installed and upgraded with Terraform, Helm, or Replicated.Your cloud accountYour data centerAir-gappedLearn more

H2O AI Cloud for Government

The H2O AI Cloud for Government has achieved FedRAMP High Certification, delivering the highest standard of cloud security so federal agencies can harness predictive and generative AI without compromising data sovereignty or compliance.

Learn more View on marketplace

Proof

Autonomous workflows at telco scale.

TelecommunicationsAT&TThe H2O AI Super Agent runs inside Ask AT&T, powering autonomous workflows across customer experience, fraud prevention, and field operations, at 91% accuracy for 35% of the prior cost.Read the case study

FutureX overall leaderboard, top players

BenchmarkFutureX leaderboardThe H2O AI Super Agent ranked #2 worldwide on the FutureX overall leaderboard in July 2026, a live benchmark of agents predicting real-world future events.Read the announcement

The rise of agency

AutoML automated the science. Agentic AI automates the thinking.

Each era automated something different, not more of the same. The agentic era is the one where the agent owns the goal, and H2O AI kept building through all three.

2015-2020AutoMLhow do I build the best model? Feature engineering, selection, tuning, AutoDoc. H2O-3 and Driverless AI.
2020-2024AutoAIhow do I get outcomes to decision-makers? Deployment, monitoring, governance, business-user access. H2O AI Cloud (now the H2O Sovereign AI Platform).
2023h2oGPTe ships with agents.Agentic RAG grounds answers in your documents.
2024 onAgentic AIwhat should I build, and why? Autonomous planning, tool orchestration, adaptive iteration. The Super Agent.
2026Nine agent types, MCP and A2A, FutureX #2 worldwide.The Data Science Agent drives the predictive lane.

Part of the H2O AI Platform

Four more capabilities, one platform.

Generative AIThe H2O Generative AI Platform: Agentic RAG with citations, Document AI, any-model routing, and a secure model factory to fine-tune small models you own.Explore ObservabilityAI observability on the H2O AI Platform: explainability with AutoDoc, agent and RAG evaluation, drift and fairness monitoring, and one audit trail.Explore PlatformThe H2O AI Platform unifies predictive, generative, and agentic AI with observability, orchestrated by the H2O AI Super Agent. Deploy, govern, and own it.Explore Predictive AIPredictive AI on the Trusted Sovereign AI Platform: Driverless AI with AutoDoc and AutoMLI, tabH2O, Feature Store, MLOps, driven by the Super Agent.Explore

FAQ

Questions people ask before they call us.

Gartner (25 June 2025) predicts more than 40% of agentic AI projects will be canceled by the end of 2027, citing cost, unclear business value, and inadequate risk controls. Building the agent is rarely the problem. Orchestration across tools, governance, cost attribution, and a trace of what the agent did are the hard parts.

Next step

Pick one workflow that touches three systems. Watch an agent run it.

We will connect the Super Agent to your tools over MCP, run the workflow with a human approval gate, and show you the audit trail afterwards.

Request a demo Talk to H2O