Standardize agent adoption across your company

Organization settings for standardizing agent controls.

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Govern agents across your company

Proliferate gives you a single control plane for agent adoption. Govern access, tools, and budgets without one-off local setups.

  • Enterprise-grade security, budgeting, and permissioning.
  • Full agent control: use open source or frontier LLMs, all in your VPC.
Environment starting in Ona.

Standardize agent adoption

The operating model for agent adoption.

Approved agents

Define which runtimes teams can use.

Project defaults

Set repo-level defaults for review and execution.

Shared environments

Give teams common workspace primitives.

Usage controls

Track recurring workflows, cost, and adoption.

Questions & answers

Does standardization kill experimentation?

No. It gives experimentation a governed substrate instead of leaving it unmanaged.

Can teams keep different agents?

Yes. The platform can support different agents while sharing policy and environment controls.

Who owns this?

Usually platform engineering, developer experience, or an AI engineering platform team.

Why not let everyone use vendor tools directly?

That works early, but it fragments identity, secrets, review behavior, usage, and policy as adoption grows.

Other use cases.

More ways to operationalize agents across the SDLC.

Developer Productivity

Background agents for implementation work.

AI Code Review

Agent review for plans, diffs, and PRs.

Own Your Destiny

Your agents, models, infrastructure, and data.

Custom Workflows

Automate the SDLC work unique to your team.

Flaky Test Maintenance

Detect, investigate, and repair flaky tests.

Run agents on infrastructure you control.

Start with one team, then standardize agent workflows without giving up control of code, credentials, or inference.