Innobot deploys AI across your entire RCM operation, from scheduling through reconciliation, so your team stops chasing claims and starts driving revenue.
Trusted by leading healthcare organisations
Professional and institutional claims arrive through:
Next: the latest claim or encounter information is ready for the algorithm.
Our algorithm uses the latest claim or encounter event to choose the next action. It places that task in a work queue: a list of tasks waiting to be completed, grouped by the work they need.
Next: each assigned task is ready for the appropriate automation.
Tasks are picked up from their queues and handled through APIs, AI agents, chatbots or voice calls. Tasks that fail all layers of automation fall into an exception queue for a person to resolve. Each task uses the support it needs; it does not have to pass through every level.
Next: completed actions and their results return to your system.
Through APIs or AI agents, completed work is recorded in your existing system the same way a person would enter it. Insurance updated, payments posted, notes entered and claims resubmitted, all within your current practice management system.
When follow-up is needed, the latest result becomes the input for the next action.
As work progresses, dashboard analytics show claim outcomes, automation and manual performance, and the cost of collecting revenue. Your team can track progress and see where attention is needed.
Your team can see what was done, what still needs attention and how collections are performing.
Professional and institutional claims arrive through:
Next: the latest claim or encounter information is ready for the algorithm.
Our algorithm uses the latest claim or encounter event to choose the next action. It places that task in a work queue: a list of tasks waiting to be completed, grouped by the work they need.
Next: each assigned task is ready for the appropriate automation.
Tasks are picked up from their queues and handled through APIs, AI agents, chatbots or voice calls. Tasks that fail all layers of automation fall into an exception queue for a person to resolve. Each task uses the support it needs; it does not have to pass through every level.
Next: completed actions and their results return to your system.
Through APIs or AI agents, completed work is recorded in your existing system the same way a person would enter it. Insurance updated, payments posted, notes entered and claims resubmitted, all within your current practice management system.
When follow-up is needed, the latest result becomes the input for the next action.
As work progresses, dashboard analytics show claim outcomes, automation and manual performance, and the cost of collecting revenue. Your team can track progress and see where attention is needed.
Your team can see what was done, what still needs attention and how collections are performing.
Innobot's AIdoesn't just save time. It compounds. Every automation feeds the next, creating an operation that runs faster, cleaner, and more profitably month after month.
Enterprise deployment. Month 8.
Full revenue cycle automated in under 12 months.
Reduction in scheduling time.
847 appointments a week. Zero manual touches.
Less front-desk work.
Demographics, eligibility, forms: all automated.
Audit + recon, automated.
ERA 835 posted same-day. Zero manual overrides.
Fewer denials. Cleaner claims.
22 scrub rules. Caught before the clearinghouse on every claim sweep, every payer, every time.
From the first patient call to the final reconciliation, Innobot handles it without your team lifting a finger.
No EHR integration required. Our robots mirror your staff's exact workflows. No disruption, no retooling, no waiting.