AI and operations consulting for telemedicine and virtual care

Teladoc Health is one of the largest publicly traded virtual-care companies in the US, offering general medical, mental health (BetterHelp), chronic-condition, and specialty-care services across direct-to-consumer, employer, and health-plan channels. The company has scaled to tens of millions of paid members, is consistently disclosed as one of the defining public-market telemedicine operators, and has navigated the post-COVID demand normalization, the BetterHelp integration, and the chronic-care platform expansion (Livongo) over multiple years.

Doctor on Demand combined with Grand Rounds to form Included Health, building an integrated virtual-care, navigation, and specialty-care platform sold primarily through the employer and health-plan channel. The combined platform is consistently cited as a defining example of the navigation-plus-virtual-care operating model and has continued to invest in clinical quality, network design, and the integrated member-experience layer.

A mid-market virtual-care company offering acute and mental-health services across 38 states was running a 19-week average for new-state provider licensing, an unprofitable acute-visit unit-economic at the current price-and-cost stack, and a Q1 cold-and-flu access SLA that slipped to 96 hours from a 4-hour promise. We built a licensing-automation pipeline that parsed board documents, checked status APIs, and tracked renewals; rebuilt the visit-cost stack with AI-assisted documentation removing six minutes of provider time per visit; and deployed a demand-and-supply forecasting model that flexed provider scheduling against state-level visit predictions. New-state licensing time dropped, the acute-visit moved to positive contribution margin, and Q1 SLA held inside the 4-hour promise.