Mercor helped the world's leading AI labs transform human expertise into better AI models. Now we use that same expertise to help enterprises identify where AI creates value, deploy it into production, and continuously improve it over time. Do it all with Mercor Enterprise AI.
From AI opportunity assessments to production deployments, every engagement delivers measurable business outcomes.
Our approach
Every engagement combines business expertise, Forward Deployed Engineers, and a platform that powers AI from discovery through continuous improvement.
Business Expertise
Forward Deployed Engineers
Mercor Enterprise Platform
The complete AI lifecycle. Engage Mercor where you need us most.
01 Discover · Agent Diagnostics
Most organizations don't know which workflows are worth automating. Mercor combines AI interviews, enterprise data, and workflow discovery to capture tacit organizational knowledge and identify the highest-value opportunities for AI. What you get:
Accounts payable · Finance
AI potential High
People 6
Sources 38
Frequency 5.2K runs/yr
Judgement Medium
Source confidence High
How an agent would solve this
Est.An AI agent runs the 5-step invoice exception triage end to end — pulling the invoice, PO, and receipt from the ERP, applying your tolerance policy, and drafting the resolution. A human approves anything outside policy.
Process steps
Sources · 38 traces
02 Deploy · Agent Deployment
We build AI agents around your workflows, systems, and quality standards. We define evaluations based on what good looks like for your business, then integrate agents into the tools and workflows your teams already use. Performance is continuously evaluated and improved in production. What you get:
Recent runs
Score
96%
Verifiers run
5/8
Duration
52.4s
Every line matched a purchase order line and a receiving quantity. No line was matched twice, and the posted totals reconcile to the source documents.
All variances stayed inside the 2% tolerance the client defined. The four invoices above tolerance were held for approval rather than posted.
Two exceptions posted just above the confidence threshold. Both were correct, but the margin is thin enough that the gate is worth raising.
No invoice in this batch required vendor outreach, so the escalation path was never taken.
Each held invoice links the PO, the receipt, and the computed variance. No claim in the summary is unsupported by a document.
03 Improve · Agent Optimization
Mercor reviews AI already in production, from codebase and agent architecture to prompts, context, tools, model selection, and evaluations, to identify what’s holding it back and improve performance. What you get:
Score
92%
Cost per run
$0.72
Runs
181
04 Monetize · Data Monetization
Mercor identifies where your data may be valuable to leading AI labs, then manages anonymization, sourcing, and licensing on your behalf. Data monetization is always opt-in. You choose what data, if any, is made available for licensing. What you get:
Select everything you actively use. You can add more later.
6 connected sources
3 eligible sources
Sources
Connected
6
Eligible
3
Status
Ready for review
Customer approval required
Mercor agents operate only within the systems, data, and permissions you define.
Deploy Mercor in the environment that meets your security requirements, from managed deployments to customer-controlled infrastructure.
Agents are only granted access to the systems, data, and permissions you explicitly authorize.
Your organization defines how agents interact with enterprise systems through existing security, identity, and access policies.
Monitor agent activity, review performance, and maintain visibility into production deployments.
Representative functions and workflows where Mercor works with enterprises.
Mercor agents only touch what you scope, and nothing escapes the sandbox.
Book a demoFrequently Asked Questions
We believe new learnings drive continuous improvement. That’s why we’re sharing our expertise from running agents in production every day. Subscribe to get enterprise AI insights delivered to you regularly.
