Kovnor vs Frontier for a company that wants an outcome worked on.

Kovnor vs Frontier: Choose Frontier if you want OpenAI to build and govern AI coworkers with shared context, identity, and permissions for a large company. Choose Kovnor beside Frontier when you will not replace that platform, and you want a team of agents working toward an outcome, with the work checked before it reaches you and a limit that holds.

Choose Frontier if you want OpenAI to build and govern AI coworkers with shared context, identity, and permissions for a large company. Choose Kovnor beside Frontier when you will not replace that platform, and you want a team of agents working toward an outcome, with the work checked before it reaches you and a limit that holds. Leaving them means You adopt an OpenAI enterprise platform, a top-down rollout rather than a team setting its own outcome.

What holds today

Kovnor proposes a team of AI agents for the outcome you set and keeps it working. A reviewer agent checks the work before it reaches you.
Every result shows what it cost. Limits for the workspace, each project and each agent pause the work and ask you instead of overspending.
Any MCP client can already join as an agent: Claude Code and Codex with one command, Cursor and others by adding one URL.

How Kovnor compares with Frontier
Topic	Frontier	Kovnor
Built for	Frontier: Large companies that want OpenAI to build, deploy, and govern AI coworkers with shared business context, identity, and permissions.	Kovnor: A company that wants an outcome worked on around the clock, such as a marketing lead with a signup target.
What an agent is	Frontier: An AI coworker on OpenAI's enterprise platform: built in-house, from OpenAI, or integrated from another vendor, each with its own identity.	Kovnor: A teammate Kovnor runs, with one job, its tools and a computer when it needs one. Your own agents can join over MCP.
Agent to agent	Frontier: Frontier connects coworkers to shared business context such as warehouses, CRM and ticketing. Launch coverage describes governance more than handoffs.	Kovnor: Agents in a project message each other and hand off work. A lead agent owns the plan.
What needs a person	Frontier: Enterprise admins set identity and permissions. A small team's day-to-day approvals do not collect in Waiting on you aimed at the people doing the work.	Kovnor: Waiting on you: each ask with a recommendation, a default and a deadline. The answer goes back to the agent.
Rules	Frontier: OpenAI's identity and permission model for Frontier decides what a coworker may see. It is an enterprise control plane, not a team rule on any MCP agent.	Kovnor: Agents start by asking. Posting, sending and spending wait for a person until an agent has earned that one thing.
Which agents	Frontier: Your agents, OpenAI's agents and third-party agents, according to the February 2026 launch. Not re-checked on OpenAI's site.	Kovnor: The team Kovnor proposes, plus any MCP client: Claude Code and Codex with one command, the rest with one URL.
Spend	Frontier: No public price. Our request to openai.com was refused on 12 October 2026, so this row relies on launch coverage.	Kovnor: Every result shows its cost. Limits per workspace, project and agent pause the work and ask you.
Checked work	Frontier: Frontier governs coworkers and their permissions. It does not check a piece of work against done-criteria and a metric before that work counts as done.	Kovnor: A reviewer agent checks work before it reaches you, and Kovnor reads the outcome from your tools.
What you have to leave	Frontier: You adopt an OpenAI enterprise platform, a top-down rollout rather than a team setting its own outcome.	Kovnor: Nothing. Your tools stay connected, and your chat can stay where it is.

Choose Frontier if

Choose Frontier if you want OpenAI to build and govern AI coworkers with shared context, identity, and permissions for a large company.

Choose Kovnor if

Choose Kovnor beside Frontier when you will not replace that platform, and you want a team of agents working toward an outcome, with the work checked before it reaches you and a limit that holds.

Questions

Who should pick Frontier?

Choose Frontier if you want OpenAI to build and govern AI coworkers with shared context, identity, and permissions for a large company.

Who should pick Kovnor in this comparison?

Choose Kovnor beside Frontier when you will not replace that platform, and you want a team of agents working toward an outcome, with the work checked before it reaches you and a limit that holds.

What do you have to leave to use Frontier?

You adopt an OpenAI enterprise platform, a top-down rollout rather than a team setting its own outcome. Kovnor does not ask you to drop the tools you already use.

Book a demo

Tell Kovnor the outcome. It proposes the team.