Bot MD vs Yellow AI vs KeyReply: Healthcare Chatbot Comparison 2025
"We evaluated six platforms," the hospital's Digital Director told me over coffee. "And honestly, they all looked the same in the demos. Pretty interfaces. Impressive-sounding AI. But when we actually tried to implement them for real healthcare workflows? That's when the differences became painfully obvious."
She spent six months and $80,000 on the wrong platform before switching. "If I could do it over, I'd ask completely different questions."
This comparison is the guide she wished she'd had.
The Evaluation Nobody Tells You About
Here's what vendors won't tell you: most healthcare chatbot evaluations fail because buyers ask the wrong questions.
Wrong question: "Can your chatbot schedule appointments?" Right question: "Show me how your chatbot handles a patient who wants to reschedule a specialist appointment, needs a different doctor than originally assigned, and has an insurance authorization that needs to transfer."
The first question gets you demos. The second reveals whether the platform actually works for healthcare.
The Players: An Honest Assessment
Bot MD
Built for: Healthcare exclusively
The reality: Bot MD was founded specifically to solve healthcare communication challenges. The entire platform—from conversation flows to integration architecture—was designed around clinical workflows from day one.
Where it shines:
- Deep integration with Asian HIS/EMR systems
- Pre-built healthcare workflows (pre-admission, PROM collection, follow-up)
- Local teams in Singapore, Malaysia, Philippines, Indonesia
- Healthcare-specific AI training (understands "BP" vs "appointment")
Where it's limited:
- Healthcare focus means it's not for non-healthcare use cases
- Strongest in Southeast Asia (expanding, but regional roots)
Best for: Hospitals wanting a purpose-built solution without building from scratch
Yellow AI
Built for: Enterprise conversational AI across industries
The reality: Yellow AI is a powerful, sophisticated platform that serves banking, retail, telecom, and yes, healthcare. Think of it as enterprise infrastructure that can be configured for healthcare.
Where it shines:
- Massive language support (135+ languages)
- Voice AI capabilities
- Enterprise scale and reliability
- Strong documentation and developer tools
Where it's limited:
- Healthcare requires significant customization
- General-purpose AI needs healthcare fine-tuning
- More complex implementation for clinical workflows
Best for: Large enterprises needing one platform across multiple business units, or organizations with strong technical teams
KeyReply
Built for: Healthcare engagement, particularly Singapore
The reality: KeyReply emerged from the Singapore healthcare ecosystem and has deep integration with Singapore public healthcare. Their Kira platform handles appointment automation well.
Where it shines:
- Strong Singapore public healthcare integration (NHG, etc.)
- Proven hospital deployments
- Good clinical AI capabilities
- Local support and understanding
Where it's limited:
- Strongest in Singapore; less regional presence
- Smaller scale than global platforms
Best for: Singapore-based healthcare organizations, especially public sector
Qiscus
Built for: Omnichannel messaging infrastructure
The reality: Qiscus is an Indonesia-based platform providing messaging infrastructure. Healthcare is one of several verticals they serve.
Where it shines:
- Strong Indonesia market presence
- Competitive pricing
- Flexible customization options
- Good WhatsApp integration
Where it's limited:
- Limited healthcare-specific features out of the box
- Requires more custom development
- Less healthcare integration depth
Best for: Indonesia-focused organizations with development resources and budget sensitivity
Sleekflow
Built for: Social commerce and marketing automation
The reality: Sleekflow is primarily a sales and marketing platform. Healthcare is possible, but it's not the core focus.
Where it shines:
- User-friendly interface
- Good marketing automation features
- Competitive pricing
- Quick setup for basic needs
Where it's limited:
- Not designed for clinical workflows
- Basic healthcare integrations
- Limited compliance certifications
Best for: Healthcare marketing teams focused on patient acquisition campaigns
The Features That Actually Matter
Forget the feature checkbox comparisons. Here's what determines whether a platform will work for your hospital:
Healthcare AI Training: The Hidden Differentiator
Test this: Type "My BP has been high lately, can I come in earlier?"
Generic AI might interpret "BP" as "business partner" or miss the urgency. Healthcare-trained AI recognizes blood pressure, understands the clinical implication, and routes appropriately.
| Platform | Healthcare AI | How to Test |
|---|---|---|
| Bot MD | Native healthcare training | Ask medical questions with abbreviations |
| Yellow AI | General AI, configurable | Request healthcare-specific demos |
| KeyReply | Healthcare training | Ask about clinical workflows |
| Qiscus | Basic AI | May need extensive training |
| Sleekflow | Basic AI | Not designed for clinical |
Integration Depth: Where Demos Deceive
Every vendor says "we integrate." The question is: how deeply?
Level 1 (Basic): Read-only. AI can look up information but can't take action.
Level 2 (Functional): Bidirectional. AI can book appointments, update records.
Level 3 (Intelligent): Real-time integration. AI responds to system events, knows patient context, acts autonomously.
| Platform | Epic | Cerner | Asian HIS | HL7 | FHIR |
|---|---|---|---|---|---|
| Bot MD | Level 3 | Level 3 | Extensive | Yes | Yes |
| Yellow AI | Level 2 | Level 2 | Limited | Partial | Yes |
| KeyReply | No | No | Singapore | Yes | Partial |
| Qiscus | No | No | Indonesia | No | No |
| Sleekflow | No | No | No | No | No |
Compliance: Non-Negotiable But Often Overlooked
| Requirement | Bot MD | Yellow AI | KeyReply | Qiscus | Sleekflow |
|---|---|---|---|---|---|
| HIPAA compliant | Yes | Yes | Yes | Partial | No |
| SOC2 Type II | Yes | Yes | Yes | No | No |
| PDPA (Singapore) | Yes | Yes | Yes | Yes | Yes |
| ISO 27001 | Yes | Yes | Yes | Partial | Partial |
If you're handling patient data, HIPAA/PDPA compliance isn't optional. SOC2 Type II means independent verification of security practices.
The Real Selection Framework
Based on dozens of hospital platform selections, here's how to actually choose:
Start With Your Use Case
Primary use is clinical workflows? (Pre-admission, follow-up, PROM collection, discharge instructions) → Bot MD or KeyReply
Primary use is enterprise scale across verticals? (Hospital + retail pharmacy + insurance arm) → Yellow AI
Primary use is marketing and patient acquisition? (Lead capture, campaign automation) → Sleekflow or Qiscus
Primary market is Indonesia with budget constraints? → Qiscus
Then Consider Integration Requirements
Need Epic/Cerner/Oracle Health integration? → Bot MD or Yellow AI (others don't have it)
Need Asian HIS integration? → Bot MD (most extensive), KeyReply (Singapore), Qiscus (Indonesia)
Just need basic webhook/API? → Any platform works
Finally, Evaluate Support Model
Want local teams who understand healthcare? → Bot MD, KeyReply (Singapore), Qiscus (Indonesia)
Need global 24/7 enterprise support? → Yellow AI
Comfortable with self-service + tickets? → Sleekflow, Qiscus
The Questions Your Vendor Doesn't Want You to Ask
Before you sign, ask these:
1. "Show me a healthcare customer in my country who I can call."
Anyone can promise results. References prove them.
2. "Walk me through exactly what happens when a patient messages at 2 AM about rescheduling a surgery."
This reveals integration depth, clinical understanding, and edge case handling.
3. "What happens when your system is down? What's your uptime over the last 12 months?"
Healthcare is 24/7. A chatbot that's unavailable isn't helpful.
4. "How long does a typical healthcare implementation take, and what's the main reason for delays?"
Honest answers reveal real timelines. "4-6 weeks" means 8-12 weeks.
5. "What's the total cost including integration, training, and year-two pricing?"
Year-one pricing often excludes implementation. Year-two often increases.
Why Healthcare Organizations End Up Choosing Bot MD
After evaluating multiple platforms, hospitals choose Bot MD for specific reasons:
"We didn't want to build healthcare features on a generic platform."
Enterprise platforms are powerful, but adapting them for healthcare takes months and custom development. Bot MD's healthcare features exist already.
"The integration actually worked."
Many platforms demo integrations that take 6 months to actually implement. Bot MD has pre-built connectors that deploy in weeks.
"They understood our workflows."
When evaluating teams asked "How do you handle pre-operative patients who need to reschedule due to failed lab clearance?", only the healthcare-native platforms had coherent answers.
"The local team could actually help."
When something goes wrong at 4 PM on a Friday, you need someone who can help immediately—in your timezone, speaking your language.
Making Your Decision
Here's the evaluation process that works:
Week 1: Define requirements. What workflows matter? What systems must integrate? What's your realistic budget?
Week 2: Request demos. Insist on healthcare-specific scenarios, not generic capabilities.
Week 3: Check references. Call similar organizations. Ask what surprised them after implementation.
Week 4: Pilot program. Start small. Measure real results against promises.
Week 5-8: Evaluate and decide. Total cost of ownership, not just platform fee.
Ready to Evaluate?
Bot MD provides healthcare-specific chatbot capabilities across Southeast Asia:
- Purpose-built for healthcare since founding
- Deep HIS/EMR integration including Asian systems
- Local teams in Singapore, Malaysia, Philippines, Indonesia
- Proven deployments at leading hospitals
Book a demo to see how Bot MD compares for your specific requirements. We'll show you exactly how we handle your use cases—no generic demos, just your workflows.
And if Bot MD isn't the right fit? We'll tell you. The wrong platform costs everyone time and money. The right evaluation finds the right answer.
