Often more voice-heavy than national carriers, meaning higher AI deflection potential.
Faster decision cycles. Best early targets: Highmark (7M), Florida Blue (6M).
Benefits explanationClaim denialQuality outreach
Avoid initially:
National commercial carriers (slow procurement, heavy governance).
ASO/self-insured (member service is employer-mediated).
Digital-first payers where portal deflection already handles the easy volume.
BPO partnership may accelerate deployment. ~15% of payers heavily outsource to firms like Cognizant, Optum, Accenture, TCS. They have the payer relationships, though they may have their own GenAI plans.
Full payer landscape
By line of business
TargetMedicare Advantage
33M lives, ~54% of all Medicare beneficiaries. High service intensity, lots of "explain this to me" calls. Strong business incentive for quality + retention. 33M lives
Managed Medicaid (MCOs)
85% of all Medicaid beneficiaries. 76M lives
Commercial fully-insured
1/3 of employer-based coverage. 55M lives
Commercial ASO / self-insured
2/3 of employer-based coverage. Member service is often employer-mediated. 110M lives
ACA Marketplace
Individual plans. 16M lives
Dual-eligible (MA + Medicaid)
Make up 20% of MA members. Complex needs, high call volume. 5M lives
By operating model
TargetMostly in-house
80% of payers run internal call centers, especially those with >10M lives. Eg. UHG has 50M members. Direct sales motion, clear buyer.
Heavily outsourced BPO
~15%. Eg. TMG Health served ~4.3M health plan members across 30+ client plans.
Hybrid
~10%. Outsourcing Tier 1 basic inquiries or after-hours support while keeping critical functions in-house.
By coverage geography
National
Licensed across 10+ states. Complex and slow sales cycles. Tend to be more automated. Eg. UHG 45M, Elevance 36M, CVS Aetna 25M, Cigna 16M, Kaiser 12M.
TargetRegional
Membership in 1-3 states. Strong local provider contracting. Often more voice-heavy, faster decision cycles. Most Blues plans. Eg. Highmark 7M, BCBS Michigan 5M, Florida Blue 6M.
Target provider segments
Target
Multi-specialty outpatient groups
Have a centralized access center, which means a single integration point.
High repeat inbound call volume across scheduling, referrals, and logistics.
Clear buyer: patient access director or COO.
SchedulingReferrals
Target
Throughput-sensitive ambulatory lines
Revenue tightly coupled to scheduled asset slots. No-shows hurt immediately.
Avoid initially:
FQHCs (less throughput economics, lower budget, complex social needs).
Pure urgent care (walk-in dominant, less scheduling leverage).
Academic Medical Centers unless there is a direct C-level connection.
Full provider landscape
By site of care
Hospital systems / IDNs
~400 IDNs with 4,100 hospitals (68% of total). Own 77% of inpatient beds. ~26M admissions/yr
Academic medical centers
~500. Disproportionate share of complex care. Long sales cycles and complex governance. ~500 orgs
Community hospitals
5,000 hospitals (rural 2,000, urban 3,000). Handle 94% of all admissions. No research, 50-300 beds. ~2 per 100,000 population. 5,000 hospitals
TargetMulti-specialty groups
~30% of US physicians (trending up from 22% in 2012). Largest share of ambulatory visits. Strong focus on coordinated care. ~30% of MDs
TargetSingle-specialty groups
~37% of physicians (trending down from 45% in 2012). From 2-physician offices to large groups of 50+. Scheduling is everything: asset utilization drives revenue. Being actively acquired by IDNs and PE. ~37% of MDs
FQHCs / Safety net
1,500 orgs, 17,000 clinics. 32M patients in 2024. ~90% of patients below 200% of poverty level. Low budget, complex social needs. 125M visits/yr
TargetAmbulatory Surgery Centers (ASCs)
~12,000 facilities. 92% physician-owned, entirely for-profit mindset. 70% of US surgeries now outpatient. Lean and efficiency-centric. ~23M procedures/yr
Urgent care chains
14,000 locations. More walk-in than scheduled, meaning less scheduling leverage for AI agents. 200M visits/yr
By operational model
TargetCentralized access center
~80% of orgs. Over 70% of US physicians now working for hospital or corporate systems. Large IDNs handle ~100,000 calls/month. Clear buyer, high volume, single integration point.
Decentralized
~20% of orgs. Prevalent in smaller practices. ~30% of physicians are in practices of 5 or fewer doctors. Up to 40% of calls may go unanswered.
Third-party services
Two types: medical answering services (message-taking, after-hours) and nurse triage lines. Common in small and mid-sized practices.
By asset and case mix
TargetHigh throughput (asset-coupled)
Revenue is tightly coupled to scheduled slots with an asset: MRI machine, infusion chair, OR room. No-shows and late cancels translate directly to lost revenue.
High caregiver involvement
Pediatrics, geriatrics. More calls per patient, more "guidance" inquiries.
High follow-up intensity
Oncology. Regular touchpoints, complex care coordination, high emotional stakes.