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Notes on operations, agents, and the work behind the work.
Industry-tailored AI agents browse, read, call, and work on your behalf, helping your ops team do the work of fifty without hiring another person.
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Last updated:AUG 12

Why Browser Automations Fail in Production, and How Champ Keeps Them Running
Production browser automation needs more than a successful agent demo. Learn how deterministic execution, AI recovery, authentication, and profile pools keep real workflows running.

The Healthcare Eligibility Paradox
Eligibility verification is 96% electronic, yet it remains the leading cause of claim denials. Why the standard fixes stall, and what it takes to automate the eligibility decision end-to-end.

Why We Built Champ AI
Why we built Champ AI: the story behind building an AI platform for autonomous operations, designed for back-office workflows that traditional software, low-code tools, and offshore teams could never fully reach.

The End of Low-Code: Why we rebuilt automation from scratch
Low-code tools solved API automation. But real enterprise operations live in browsers, PDFs, phone calls, and messy workflows that require judgment.

Lessons Learned from a Year of Building AI Agents
After a year of building AI agents for enterprises, here are the key insights on what makes them work—and what makes them fail.
Recent posts

The Hidden Tax on Provider Growth
Digital-health networks can recruit providers faster than they can make them billable. The gap between a signed contract and payer activation is the hidden tax on provider growth.

Why Browser Automations Fail in Production, and How Champ Keeps Them Running
Production browser automation needs more than a successful agent demo. Learn how deterministic execution, AI recovery, authentication, and profile pools keep real workflows running.

The Healthcare Eligibility Paradox
Eligibility verification is 96% electronic, yet it remains the leading cause of claim denials. Why the standard fixes stall, and what it takes to automate the eligibility decision end-to-end.

Why We Built Champ AI
Why we built Champ AI: the story behind building an AI platform for autonomous operations, designed for back-office workflows that traditional software, low-code tools, and offshore teams could never fully reach.

The End of Low-Code: Why we rebuilt automation from scratch
Low-code tools solved API automation. But real enterprise operations live in browsers, PDFs, phone calls, and messy workflows that require judgment.

Lessons Learned from a Year of Building AI Agents
After a year of building AI agents for enterprises, here are the key insights on what makes them work—and what makes them fail.
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