The operating layer for AI agents

Know what your
agents are doing.

Review what matters, set clear boundaries, and help them perform better.

With the freedom to choose—and change—the models and platforms behind them.

Explore the platform direction. Ask us about current capabilities and supported integrations.

From activity to better decisions

Illustrative operating console

Agentabl/Workspace
Sample workspace

Agent operations

Last 24 hours
120Total runs
110Completed
6Failed
4Awaiting approval
Recent runs3 of 120
Agent / ownerLatest runEst. model cost / duration
Support Reply AssistantCustomer Operations
Waiting for approval
Est. model cost $0.06Duration Waiting
Research AssistantProduct Operations
Completed
Est. model cost $0.09Duration 6.2 s
Customer Record AgentRevenue Operations
Failed
Est. model cost $0.02Duration 1.8 s
Visibility. Control. Freedom to choose.
One operating layer.
ObservabilityGovernancePortability
See the bigger picture
Beyond a successful run

Building agents is only the beginning.

Once agents start doing real work, you need to know whether the work is good, what it costs, when to step in, and what to change next.

01

Are they doing good work?

02

What are they costing you?

03

When should someone step in?

04

Can you change the technology?

A connected view of agent work

Three capabilities.
One operating layer.

Understand what’s happening. Decide what happens next. Keep the freedom to change.

01
Observability

Know how they’re doing.

Understand agent activity, costs, speed, and quality. Follow a result back to the recorded work behind it.

  • Activity and execution history
  • Cost and performance
  • Quality and exceptions
Explore observability
02
Governance

Decide how they work.

Set clear boundaries. Review work based on risk, and decide when a person must approve the next action.

  • Access and action controls
  • Risk-based review
  • Human intervention
Explore governance
03
Portability

Keep your options open.

Compare compatible models, reuse what fits, and validate changes before moving between supported technologies.

  • Model choice
  • Reusable assets
  • Compatibility-aware migration
Explore portability
Evaluation & optimizationProduct direction

Help your agents perform better.

Define what good work looks like. Review results, find weaknesses, and test changes to prompts, models, and context. Compare quality, speed, and cost before putting changes into use.

01

Define good work

Set task-specific criteria and choose representative examples.

02

Review the results

Combine evaluation results with human feedback and production exceptions.

03

Test the improvement

Compare alternatives against the same criteria before deciding what to change.

Evaluation and optimization support every part of Agentabl—not just model switching.

Explore evaluation and optimization
Fits the way you build

Bring existing agents.
Or build with Agentabl.

Start with your own development stack or create a workflow-backed agent with the native builder and SDK. The direction is one shared operating experience.

Product direction

Connect existing agents

Identify the activity, controls, and evaluation options a supported integration can expose.

Explore integration options

Build with Agentabl

Use reusable models, tools, knowledge, memory, and governance controls.

Explore developer options
Connect existing agentsSupported integrations
Build with AgentablNative builder & SDK
One operating layer
ObservabilityGovernancePortability
Evaluation·Optimization·Agent operations
Models & toolsKnowledge & memoryExecution resources
Conceptual product direction. External integration capabilities vary.

Connecting an agent is different from migrating it. Add oversight without requiring a rewrite.

The operating experience

From knowing there’s a problem
to making things better.

An illustrative scenario: your support agent’s costs are rising, and some answers are missing important information.

Support Reply Assistant

The support agent’s proposed answer is waiting for a source check. Start with the recorded activity.

Agentabl/Workspace
Sample workspace

Agent operations

Last 24 hours
120Total runs
110Completed
6Failed
4Awaiting approval
Recent runs3 of 120
Agent / ownerLatest runEst. model cost / duration
Support Reply AssistantCustomer Operations
Waiting for approval
Est. model cost $0.06Duration Waiting
Research AssistantProduct Operations
Completed
Est. model cost $0.09Duration 6.2 s
Customer Record AgentRevenue Operations
Failed
Est. model cost $0.02Duration 1.8 s

Better work within the boundaries you set.

A clearer view starts here

Better oversight. Better-performing agents. More freedom to choose.

Tell us what your agents do, where they run, and what you need to improve.

Request a Demo