Make your teams and platforms AI native.
The agent management system.
Describe an agent in plain language. Yekar.AI equips it, governs it, and runs it - for you, your team, and every customer you serve.
Works with the tools you already use
- 100+
- Integrations
- 1,150+
- Tools
- Your tools
- Import via HTTP or MCP
Read the Zendesk ticket and answer from the handbook. Above $200, ask @billing-review.
From idea to agent
Deploy agents for your team
See more use cases
Every pattern with its steps, its safeguards, the tools it runs on - and what each estimate rests on.
View use casesThree steps to shipping
One published agent. A separate session for every job.
Shipping an agent feature with Yekar.AI is a product decision, not an infrastructure project.
01
Describe the agent
Write the job in plain language in Agent Builder, publish a version, and keep every run pinned to it.
02
Your customer connects their accounts
They authorise their own tools from inside your product. The agent acts as your customer - never as you.
03
Trigger it from your product
One API call starts a session with the credentials it needs, plus the approvals and limits you configured.
A governed agent run from input to outcome
Product
From a working brief to dependable work.
01 / 09
Build the agent
Start with Agent Builder or a plain-language brief, test the result, and publish only when it is ready.See how it works for Build the agent02 / 09
Choose its intelligence
Match each job to a model on your configured provider account, and keep that choice stable until you change it.See how it works for Choose its intelligence03 / 09
Connect its tools
Bring every system the agent needs under one governed tool surface.See how it works for Connect its tools04 / 09
Put it to work
Start the agent when work arrives, without waiting for someone to open the product.See how it works for Put it to work05 / 09
Govern access and approvals
Control who can use each agent, what actions they may take, and which writes require a person.See how it works for Govern access and approvals06 / 09
Ground its answers
Give agents the sources your team trusts, link answers back to them, and choose what happens when they fall short.See how it works for Ground its answers07 / 09
Operate and improve
Follow work from acceptance to outcome, measure fleet health, recover safely when something goes wrong, and turn what production teaches you into the next release.See how it works for Operate and improve08 / 09
Make actions accountable
Every action runs as the right identity - your team, the requesting user, or your customer's own account - so one agent can act for a thousand customers without mixing them up.See how it works for Make actions accountable09 / 09
Adapt it to the work
Carry useful context forward, test changes against past work, and handle richer inputs deliberately.See how it works for Adapt it to the work
Beyond the prompt
A useful agent needs more
than a good prompt.
Real work needs a harness - tools, authority, approvals, and a record around every run.
Yekar.AI makes the harness part of the product.
Yekar.AI is built to move your processes to agents at a fraction of the cost per case - with a designated person still approving what matters.
Operational control
Control every agent in production.
Know what is running, what it can reach, what it costs, who approved it, and what happens when it fails.
- Visible
Observe
Every run, in view.
Live, queued, failed, and tied to its published version.
- Metered
Account
Every dollar, accounted for.
Model and tool spend by agent, with monthly caps.
- Controlled
Govern
Every action, within bounds.
Scoped credentials, human approvals, and a complete record.
