Custom AI Agents for High-Stakes Work
Create, test, and launch Grep AI agents in minutes. Put them to work on decisions you can’t afford to get wrong.
Today we're launching Grep AI Agents. They give businesses and individuals a repeatable way to automate research-intensive tasks for high-stakes decisions you can't afford to get wrong.
How It Works
Custom AI Agents turn research-intensive work into repeatable workflows. Tell Grep what you want the agent to do and attach any internal procedures. You can create a no-code AI agent for any workflow that requires deep research and due diligence. Grep handles the methodology, data integrations, skills, context, input fields and output artifacts. Then share the agent with your team as an internal tool, an MCP service or an API endpoint.
Describe the workflow in plain language. For example: "Carry out due diligence on AI vendors. Require SOC 2 Type 2, zero-day retention, and US-only models and output a vendor risk spreadsheet." You do not need to write a spec or engineer a prompt.
Grep assembles it. It creates the prompts and context, then selects from 250+ skills across 25+ domains and 100+ integrations. The agent can review security documents, find data-retention terms, identify model-hosting geography, and list subprocessors. Grep builds any skill the workflow still needs.
Refine it in one sentence. Say, "Flag any retention above zero days," or "Add subprocessors as a separate sheet." Grep updates the agent without a ticket or sprint.
Run and share it. Grep creates an input form for the details that change between cases. Anyone with access can run the same methodology across the team.
Why Use Grep AI Agents
Repeatable. A one-off prompt is easy to lose and hard to reproduce. You enter the vendor, requirements, documents, and jurisdictions in an input form, so each analyst starts from the same standard.
Editable methodology. Grep AI agents record the senior analyst's process so the team can inspect and change it. Specialist skills can check security claims, privacy terms, infrastructure, and adverse signals in parallel. Grep applies the team's security and reliability controls to the full workflow.
Business-ready output. The result can be markdown, a spreadsheet, a formatted document, HTML, or slides. Give the agent an existing template and each run follows the structure your team uses. For teams evaluating vendor due diligence software, that can mean a risk matrix, subprocessor inventory, gated-evidence list, and remediation roadmap. Your team can export the finished artifact to Google Drive or Microsoft Office.
In Production
Customers including IG.com, Airwallex, FV Bank, Shopmonkey, and Worldpay already use Grep AI Agents hundreds of times a day to review AML alerts, verify documents, prepare VC deal memos, underwrite small businesses, and categorize merchants.
Since replacing manual research with Grep, Shopmonkey's business research time is down 85%, the team checks three times more sources per case, and it recorded zero missed fraud signals in testing.
What's Next
Next up we're adding loops, batch jobs and the ability to add your own custom integrations to make Grep AI Agents even more powerful.