AIspresso Labs
AIspresso Labs
AIspresso Labs
How a Leading Digital Healthcare Platform Is Transforming Patient Follow-Up Booking with Agentic AI
How a Leading Digital Healthcare Platform Is Transforming Patient Follow-Up Booking with Agentic AI
Replacing manual call center outreach with an autonomous multi-agent system that detects abnormal lab results, contacts patients in their language, and books specialist appointments in minutes. Phase 1 and 2 are live across 15 hospital chains — Phase 3 expands to the full 50+ hospital network by April 2026.
PROJECT STATUS: Phase 1 Complete | Phase 2 Complete | Phase 3 In Progress — Target: April 2026
PROJECT STATUS: Phase 1 Complete | Phase 2 Complete | Phase 3 In Progress — Target: April 2026
Results So Far
Results So Far
0%
BOOKING RATE
45% → 68% (and rising)
~$0
COST PER BOOKING
down from $15 avg
< 0 min
TIME TO BOOK
down from 24–48 hrs
0
LANGUAGES
Hindi + English live
About The Customer
About The Customer
A leading digital healthcare platform in India with over $120M in annual revenue, operating across 50+ hospital chains and serving 1M+ patients annually. Processes 200,000 outpatient appointments per month with care coordination handled by in-house teams, hospital staff, and outsourced call centers.
A leading digital healthcare platform in India with over $120M in annual revenue, operating across 50+ hospital chains and serving 1M+ patients annually. Processes 200,000 outpatient appointments per month with care coordination handled by in-house teams, hospital staff, and outsourced call centers.
Most AI initiatives stall because they start with models instead of foundations. They produce one-off pipelines that never integrate into real operational workflows and lose ownership after "go-live."
The Problem
The Problem
~33% of abnormal results missed
Abnormal lab results did not convert into a specialist follow-up within 14 days. Across 150+ hospitals: ~55,000 missed follow-ups per month
45% manual booking rate
More than half of call center outreach attempts failed — missed calls, language barriers, inconvenient scheduling, and patient drop-off
$12–$18 per booking
Multi-attempt phone outreach, agent labor, and hospital scheduling coordination. $3.6M+ annual spend on follow-up coordination
$6M+ annual revenue leakage
Each missed visit = $80–$200 in lost downstream revenue (consultation + diagnostics + pharmacy). 24–48 hour time-to-book for time-sensitive conditions
The Solution
The Solution
Live
Clinical Triage Agent
Ingests lab results via HL7/FHIR, classifies urgency, and determines follow-up pathway — which specialist, how urgently, and what the patient needs to know.
Live
Multilingual Voice Agent
Conducts autonomous outbound calls in Hindi and English with clinical context awareness. Explains result urgency in simple terms and guides patients through booking.
Live
Multilingual Voice Agent
Conducts autonomous outbound calls in Hindi and English with clinical context awareness. Explains result urgency in simple terms and guides patients through booking.
Live
Smart Scheduling Agent
Accesses patient and doctor calendars in real-time, negotiates slots, and confirms bookings with automatic SMS and email confirmation.
Live
Escalation & HIL Agent
Routes complex cases to human coordinators with full context and recommended actions. Supervisory dashboard for override and audit.
Live
CRM Sync Agent
Updates hospital CRM and EMR systems post-interaction. Full bi-directional sync expanding to all 50+ hospital chains in Phase 3.
Live
Escalation & HIL Agent
Routes complex cases to human coordinators with full context and recommended actions. Supervisory dashboard for override and audit.
Live
CRM Sync Agent
Updates hospital CRM and EMR systems post-interaction. Full bi-directional sync expanding to all 50+ hospital chains in Phase 3.
Outcomes
Outcomes
Metrics
Metrics
Before
Before
Phase 1 & 2 (Now)
Phase 1 & 2 (Now)
After (Agentic AI)
After (Agentic AI)
Impact
Impact
Booking rate
Booking rate
45%
45%
68%
68%
78%
78%
78%
+73% improvement
+73% improvement
+73% improvement
Cost per booking
Cost per booking
$12–$18
$12–$18
~$2
~$2
< $1
< $1
~93% reduction
~93% reduction
~93% reduction
Time to book
Time to book
24–48 hours
24–48 hours
< 15 minutes
< 15 minutes
< 5 minutes
< 5 minutes
~99% faster
~99% faster
~99% faster
Language support
Language support
English only
English only
Hindi + English
Hindi + English
+2 regional
+2 regional
4x coverage
4x coverage
4x coverage
Operating hours
Operating hours
9 AM – 6 PM
9 AM – 6 PM
24/7 autonomous
24/7 autonomous
24/7 autonomous
24/7 autonomous
2.7x availability
2.7x availability
2.7x availability
Hospital coverage
Hospital coverage
Manual
Manual
15 chains
15 chains
50+ chains
50+ chains
Full network
Full network
Full network
Projected ROI at Full Scale (April 2026)
Projected ROI at Full Scale (April 2026)
ROI Driver
ROI Driver
Estimated Annual Impact
Estimated Annual Impact
Follow-up coordination cost savings (93% reduction on $3.6M)
Follow-up coordination cost savings (93% reduction on $3.6M)
~$3.3M saved
~$3.3M saved
Recovered revenue from converted follow-ups (33% gap → 12% gap)
Recovered revenue from converted follow-ups (33% gap → 12% gap)
~$3.8M recovered
~$3.8M recovered
Error rate
Error rate
~$1.2M recovered
~$1.2M recovered
Total Estimated Annual ROI
Total Estimated Annual ROI
$8M+ annually
$8M+ annually
AI Accelerator
AI Accelerator
Pre-built voice agent templates with clinical context reasoning, HL7/FHIR integration connectors for EMR/LIS systems, clinical urgency classification libraries, HIL governance workflows, and multi-hospital deployment blueprints tested across 15 hospital chains.
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
Rewriting critical bottlenecks for scale and performance.
Refactor (For Constraints)
AIspresso Labs
AIspresso Labs
AIspresso Labs
How a Leading Digital Healthcare Platform Is Transforming Patient Follow-Up Booking with Agentic AI
How a Leading Digital Healthcare Platform Is Transforming Patient Follow-Up Booking with Agentic AI
Replacing manual call center outreach with an autonomous multi-agent system that detects abnormal lab results, contacts patients in their language, and books specialist appointments in minutes. Phase 1 and 2 are live across 15 hospital chains — Phase 3 expands to the full 50+ hospital network by April 2026.
PROJECT STATUS: Phase 1 Complete | Phase 2 Complete | Phase 3 In Progress — Target: April 2026
PROJECT STATUS: Phase 1 Complete | Phase 2 Complete | Phase 3 In Progress — Target: April 2026
Results So Far
Results So Far
0%
BOOKING RATE
45% → 68% (and rising)
~$0
COST PER BOOKING
down from $15 avg
< 0 min
TIME TO BOOK
down from 24–48 hrs
0
LANGUAGES
Hindi + English live
About The Customer
About The Customer
A leading digital healthcare platform in India with over $120M in annual revenue, operating across 50+ hospital chains and serving 1M+ patients annually. Processes 200,000 outpatient appointments per month with care coordination handled by in-house teams, hospital staff, and outsourced call centers.
A leading digital healthcare platform in India with over $120M in annual revenue, operating across 50+ hospital chains and serving 1M+ patients annually. Processes 200,000 outpatient appointments per month with care coordination handled by in-house teams, hospital staff, and outsourced call centers.
Most AI initiatives stall because they start with models instead of foundations. They produce one-off pipelines that never integrate into real operational workflows and lose ownership after "go-live."
The Problem
The Problem
~33% of abnormal results missed
Abnormal lab results did not convert into a specialist follow-up within 14 days. Across 150+ hospitals: ~55,000 missed follow-ups per month
45% manual booking rate
More than half of call center outreach attempts failed — missed calls, language barriers, inconvenient scheduling, and patient drop-off
$12–$18 per booking
Multi-attempt phone outreach, agent labor, and hospital scheduling coordination. $3.6M+ annual spend on follow-up coordination
$6M+ annual revenue leakage
Each missed visit = $80–$200 in lost downstream revenue (consultation + diagnostics + pharmacy). 24–48 hour time-to-book for time-sensitive conditions
The Solution
The Solution
Live
Clinical Triage Agent
Ingests lab results via HL7/FHIR, classifies urgency, and determines follow-up pathway — which specialist, how urgently, and what the patient needs to know.
Live
Multilingual Voice Agent
Conducts autonomous outbound calls in Hindi and English with clinical context awareness. Explains result urgency in simple terms and guides patients through booking.
Live
Multilingual Voice Agent
Conducts autonomous outbound calls in Hindi and English with clinical context awareness. Explains result urgency in simple terms and guides patients through booking.
Live
Smart Scheduling Agent
Accesses patient and doctor calendars in real-time, negotiates slots, and confirms bookings with automatic SMS and email confirmation.
Live
Escalation & HIL Agent
Routes complex cases to human coordinators with full context and recommended actions. Supervisory dashboard for override and audit.
Live
CRM Sync Agent
Updates hospital CRM and EMR systems post-interaction. Full bi-directional sync expanding to all 50+ hospital chains in Phase 3.
Live
Escalation & HIL Agent
Routes complex cases to human coordinators with full context and recommended actions. Supervisory dashboard for override and audit.
Live
CRM Sync Agent
Updates hospital CRM and EMR systems post-interaction. Full bi-directional sync expanding to all 50+ hospital chains in Phase 3.
Outcomes
Outcomes
Metrics
Metrics
Before
Before
Phase 1 & 2 (Now)
Phase 1 & 2 (Now)
After (Agentic AI)
After (Agentic AI)
Impact
Impact
Booking rate
Booking rate
45%
45%
68%
68%
78%
78%
78%
+73% improvement
+73% improvement
+73% improvement
Cost per booking
Cost per booking
$12–$18
$12–$18
~$2
~$2
< $1
< $1
~93% reduction
~93% reduction
~93% reduction
Time to book
Time to book
24–48 hours
24–48 hours
< 15 minutes
< 15 minutes
< 5 minutes
< 5 minutes
~99% faster
~99% faster
~99% faster
Language support
Language support
English only
English only
Hindi + English
Hindi + English
+2 regional
+2 regional
4x coverage
4x coverage
4x coverage
Operating hours
Operating hours
9 AM – 6 PM
9 AM – 6 PM
24/7 autonomous
24/7 autonomous
24/7 autonomous
24/7 autonomous
2.7x availability
2.7x availability
2.7x availability
Hospital coverage
Hospital coverage
Manual
Manual
15 chains
15 chains
50+ chains
50+ chains
Full network
Full network
Full network
Projected ROI at Full Scale (April 2026)
Projected ROI at Full Scale (April 2026)
ROI Driver
ROI Driver
Estimated Annual Impact
Estimated Annual Impact
Follow-up coordination cost savings (93% reduction on $3.6M)
Follow-up coordination cost savings (93% reduction on $3.6M)
~$3.3M saved
~$3.3M saved
Recovered revenue from converted follow-ups (33% gap → 12% gap)
Recovered revenue from converted follow-ups (33% gap → 12% gap)
~$3.8M recovered
~$3.8M recovered
Error rate
Error rate
~$1.2M recovered
~$1.2M recovered
Total Estimated Annual ROI
Total Estimated Annual ROI
$8M+ annually
$8M+ annually
AI Accelerator
AI Accelerator
Pre-built voice agent templates with clinical context reasoning, HL7/FHIR integration connectors for EMR/LIS systems, clinical urgency classification libraries, HIL governance workflows, and multi-hospital deployment blueprints tested across 15 hospital chains.
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
Rewriting critical bottlenecks for scale and performance.
Refactor (For Constraints)
AIspresso Labs
AIspresso Labs
AIspresso Labs
How a Leading Digital Healthcare Platform Is Transforming Patient Follow-Up Booking with Agentic AI
How a Leading Digital Healthcare Platform Is Transforming Patient Follow-Up Booking with Agentic AI
Replacing manual call center outreach with an autonomous multi-agent system that detects abnormal lab results, contacts patients in their language, and books specialist appointments in minutes. Phase 1 and 2 are live across 15 hospital chains — Phase 3 expands to the full 50+ hospital network by April 2026.
PROJECT STATUS: Phase 1 Complete | Phase 2 Complete | Phase 3 In Progress — Target: April 2026
PROJECT STATUS: Phase 1 Complete | Phase 2 Complete | Phase 3 In Progress — Target: April 2026
Results So Far
Results So Far
0%
BOOKING RATE
45% → 68% (and rising)
~$0
COST PER BOOKING
down from $15 avg
< 0 min
TIME TO BOOK
down from 24–48 hrs
0
LANGUAGES
Hindi + English live
About The Customer
About The Customer
A leading digital healthcare platform in India with over $120M in annual revenue, operating across 50+ hospital chains and serving 1M+ patients annually. Processes 200,000 outpatient appointments per month with care coordination handled by in-house teams, hospital staff, and outsourced call centers.
A leading digital healthcare platform in India with over $120M in annual revenue, operating across 50+ hospital chains and serving 1M+ patients annually. Processes 200,000 outpatient appointments per month with care coordination handled by in-house teams, hospital staff, and outsourced call centers.
Most AI initiatives stall because they start with models instead of foundations. They produce one-off pipelines that never integrate into real operational workflows and lose ownership after "go-live."
The Problem
The Problem
~33% of abnormal results missed
Abnormal lab results did not convert into a specialist follow-up within 14 days. Across 150+ hospitals: ~55,000 missed follow-ups per month
45% manual booking rate
More than half of call center outreach attempts failed — missed calls, language barriers, inconvenient scheduling, and patient drop-off
$12–$18 per booking
Multi-attempt phone outreach, agent labor, and hospital scheduling coordination. $3.6M+ annual spend on follow-up coordination
$6M+ annual revenue leakage
Each missed visit = $80–$200 in lost downstream revenue (consultation + diagnostics + pharmacy). 24–48 hour time-to-book for time-sensitive conditions
The Solution
The Solution
Live
Clinical Triage Agent
Ingests lab results via HL7/FHIR, classifies urgency, and determines follow-up pathway — which specialist, how urgently, and what the patient needs to know.
Live
Multilingual Voice Agent
Conducts autonomous outbound calls in Hindi and English with clinical context awareness. Explains result urgency in simple terms and guides patients through booking.
Live
Multilingual Voice Agent
Conducts autonomous outbound calls in Hindi and English with clinical context awareness. Explains result urgency in simple terms and guides patients through booking.
Live
Smart Scheduling Agent
Accesses patient and doctor calendars in real-time, negotiates slots, and confirms bookings with automatic SMS and email confirmation.
Live
Escalation & HIL Agent
Routes complex cases to human coordinators with full context and recommended actions. Supervisory dashboard for override and audit.
Live
CRM Sync Agent
Updates hospital CRM and EMR systems post-interaction. Full bi-directional sync expanding to all 50+ hospital chains in Phase 3.
Live
Escalation & HIL Agent
Routes complex cases to human coordinators with full context and recommended actions. Supervisory dashboard for override and audit.
Live
CRM Sync Agent
Updates hospital CRM and EMR systems post-interaction. Full bi-directional sync expanding to all 50+ hospital chains in Phase 3.
Outcomes
Outcomes
Metrics
Metrics
Before
Before
Phase 1 & 2 (Now)
Phase 1 & 2 (Now)
After (Agentic AI)
After (Agentic AI)
Impact
Impact
Booking rate
Booking rate
45%
45%
68%
68%
78%
78%
78%
+73% improvement
+73% improvement
+73% improvement
Cost per booking
Cost per booking
$12–$18
$12–$18
~$2
~$2
< $1
< $1
~93% reduction
~93% reduction
~93% reduction
Time to book
Time to book
24–48 hours
24–48 hours
< 15 minutes
< 15 minutes
< 5 minutes
< 5 minutes
~99% faster
~99% faster
~99% faster
Language support
Language support
English only
English only
Hindi + English
Hindi + English
+2 regional
+2 regional
4x coverage
4x coverage
4x coverage
Operating hours
Operating hours
9 AM – 6 PM
9 AM – 6 PM
24/7 autonomous
24/7 autonomous
24/7 autonomous
24/7 autonomous
2.7x availability
2.7x availability
2.7x availability
Hospital coverage
Hospital coverage
Manual
Manual
15 chains
15 chains
50+ chains
50+ chains
Full network
Full network
Full network
Projected ROI at Full Scale (April 2026)
Projected ROI at Full Scale (April 2026)
ROI Driver
ROI Driver
Estimated Annual Impact
Estimated Annual Impact
Follow-up coordination cost savings (93% reduction on $3.6M)
Follow-up coordination cost savings (93% reduction on $3.6M)
~$3.3M saved
~$3.3M saved
Recovered revenue from converted follow-ups (33% gap → 12% gap)
Recovered revenue from converted follow-ups (33% gap → 12% gap)
~$3.8M recovered
~$3.8M recovered
Error rate
Error rate
~$1.2M recovered
~$1.2M recovered
Total Estimated Annual ROI
Total Estimated Annual ROI
$8M+ annually
$8M+ annually
AI Accelerator
AI Accelerator
Pre-built voice agent templates with clinical context reasoning, HL7/FHIR integration connectors for EMR/LIS systems, clinical urgency classification libraries, HIL governance workflows, and multi-hospital deployment blueprints tested across 15 hospital chains.
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
AI Built For Production
Find us:
San Diego, Bengaluru, London, Dubai
Reach out to us on:
Rewriting critical bottlenecks for scale and performance.
Refactor (For Constraints)