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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:SEP 4
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.
The Healthcare Ops Bottleneck AI Is Finally Ready to Solve
Healthcare’s hardest workflows live between portals, PDFs, phone calls, and internal systems. Here is how Champ automates the work between them.
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 World Doesn't Need Another Point Solution
Most software automates one step and leaves people to manage the gaps. Champ keeps one case open across workflows, channels, and systems until the work is finished.
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.
The Healthcare Ops Bottleneck AI Is Finally Ready to Solve
Healthcare’s hardest workflows live between portals, PDFs, phone calls, and internal systems. Here is how Champ automates the work between them.
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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