Meet your AI Agents for revenue cycle
Their mission is to reduce unnecessary account touches and errors, making it easier for your staff to address denial risk pre-service and to remediate denials faster.
The AI Agents… have you ever wondered where they came from? They’ve been around for much longer than you might think. Humans have been building machines for hundred of years, making them smarter and imbuing them with decision-making abilities. Early in the Information Age, the Turing Test poses the question, “can machines think?” As it turns out, they can…
Read their origin story
The austere wall clock reads 8:52pm. His long workday automating financial transactions is done, but he has tons of energy to burn. Instead of transmitting back to his cyberbunk, Reco spends his nights roaming the bank’s headquarters at 200 West, searching for adventure and setting personal records for running the many stairs, clocking 50 stories in 73.8 seconds.
While roaming the dark hall, he overhears muffled, excited voices. Peeking into the dim expanse of the conference room, he spots a small cluster of humans passionately brainstorming in hushed tones, crumpled papers scattered across the room. They’re discussing bringing the transaction processing technology they’ve engineered for financial firms to an industry much in need of innovation — healthcare. Reco’s robot antenna perks up. He’s always been different from the bank bots, a pioneer craving opportunity. But several humans seem doubtful, “how can we ever replicate this technology in a totally new company?”
“Zerrb!… I work in automated processing,” Reco timidly pipes up. “…maybe I can help?” There’s a tangible moment of genuinely confused silence; five heads turn in tandem in his direction. “Hmm, perhaps you can…” one spectacled human murmurs thoughtfully as he bends to offer an outstretched hand, “Care to shake on it, little guy?”
Days later, Reco perches up to peer out the window of the airplane, the vast expanse of snow-covered mountains below. He’s heading to Denver to lead the newly-founded Recondo Technology’s digital workforce for revenue cycle, antenna fluttering excitedly.
Flash forward a year… Reco has figured out how to retrieve, normalize and integrate accurate and actionable payer data, effectively automating payer communications for hospitals.
But his humans have been out spreading the word about this new technology… even with his speed and self-duplication powers, Reco needs help prioritizing all the requests coming in from Recondo’s rapidly expanding client base.
Gigs is a unique species, a rules and logic matrix specifically designed by the smart humans at Recondo to organize, prioritize and orchestrate payer communications. With Gigs’ ability to instanteously visualize decision-trees with massive brainpower, the business quickly scales. They capitalize on the power to map tasks to the most efficient prioritization paths, assigning Reco and his ReconBot® clones the repetitive, high-volume transactional tasks so Recondo’s clients can focus on meaningful business activities and patient engagement.
But robotic process automation has its limits. Reco is a diligent digital worker with a knack for speed, but RPA doesn’t fare well with change. In healthcare, payer requirements are constantly changing and becoming more complex. Gigs quickly ascertains that they’ll need more advanced artificial intelligence recruits to ensure that Recondo’s content continues to deliver value for providers.
Putting out the call to the cyberspace for machine learning and natural language processing, they reach The Algorithm Twins. Rocket and Lexi have been honing their skills in a top secret machine learning program for decades, developed concurrently to autonomously compute, interpret and learn from large data sets. Being algorithms, they’re gifted with the power of inference — which manifests slightly differently in their design.
Rocket brings the power of mathematical inference to the team, quickly computing large data in his neural network. Obsessed with optimization, Rocket recalculates Gigs’ plans to make them even more efficient over time, and detects anomalies that can identify configuration optimizations. With his machine learning abilities, he also optimizes and fixes ReconBots® when payer websites change.
Lexi (short for Lexicon) uses her power of linguistic inference to help the team translate and interpret communications, being an expert in payer-provider dialectology. She answers payer-requested clinical questions, and translates for the other agents when there are contextual changes (the text of a button on website changes from ‘Read more’ to ‘Learn More’).
With their unique powers combined, the AI Agents work alongside the smart humans of Recondo to curate the most accurate and actionable payer intelligence, powering enterprise automation for healthcare systems.
See why the nation's top providers choose Recondo.
The cash flow improvements and cost savings have been very apparent. It’s much less expensive to automate claim status verification with Recondo than add staff.