Documentation Index
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Most customers arrive with one of two setups: a traditional DTMF IVR (“press 1 for sales, 2 for support”) or a live receptionist who answers and routes calls. SmartAlex replaces either , or both.
The problem with traditional IVRs
A DTMF IVR forces the caller to navigate your company’s org chart using the numeric keypad. It’s cheap, it’s always been there, and it’s universally disliked.| Metric | Industry average |
|---|---|
| Abandonment rate | 30–40% |
| Misrouting rate | 15–25% |
| Callers who press “0 for operator” to bypass the menu | ~45% |
| Average handle time inflation vs. direct routing | 60–90 seconds |
The problem with a live receptionist
A human receptionist handles nuance beautifully. They also:- Cost between R20,000 and R40,000 per month in South Africa (R240k–R480k/year loaded)
- Cover only business hours (or you pay for out-of-hours)
- Take lunch, sick days, and leave
- Miss calls during peak times
- Can only take one call at a time
- Need training to know every team member and their specialty
- Struggle to remember every repeat caller
What SmartAlex does differently
Instead of a DTMF tree, the AI has a conversation. Instead of a human’s memory, it has access to your CRM, knowledge base, calendar, and any tools you expose. It works 24/7, handles every call simultaneously, and remembers every caller.A real example , medical practice
A multi-practitioner medical clinic. 200 inbound calls per day. Previous IVR:- 40% of callers hung up before finishing the menu
- 25% pressed the wrong option and had to be re-routed
- Reception handled ~200 calls/day during business hours only
- No after-hours coverage
- 3-minute average call handle time (menu + wait + human)
- Abandonment: 8%
- Misrouting: 3%
- Reception handles 80 calls/day (AI resolved the other 60%, transferred the remaining 40% with full context)
- 24/7 coverage , 38 after-hours calls per week captured that would previously have gone to voicemail
- 45-second average handle time
- Patient satisfaction (post-call NPS) rose from 6.2 to 8.4
A real example , BMW dealership (receptionist replacement)
This is a different pattern. The customer doesn’t have a DTMF IVR , they have a receptionist who knows every customer by name and routes calls to their assigned Sales Executive or Service Advisor. SmartAlex replicates this concierge model: The AI recognised the caller, answered a substantive service question directly, and when the caller asked for a specific person, it didn’t blindly transfer , it checked availability and managed the handoff intelligently.How the replacement is configured
Three configuration decisions map your existing setup to SmartAlex:1. What replaces the IVR menu?
Instead of a menu, you give the AI a first message and a system prompt that describes who to help with what. The AI uses natural conversation to understand intent. Example first message for a medical practice:“Good morning, Acme Medical. How can I help you today?“
2. What replaces the routing targets?
Your PBX extension directory. You tell SmartAlex what extensions exist, who’s on each, and what aliases callers might use (“sales team”, “support”, “John”, “John Smith”). Example directory:| Extension | Display name | Owner | Aliases |
|---|---|---|---|
| 101 | Reception | , | reception, front desk |
| 102 | Sales | Sarah Jones | sarah, sales, sarah jones, sales team |
| 103 | Support | John Smith | support, tech, john, help |
| 104 | Billing | , | billing, accounts, invoices |
3. What replaces the receptionist’s judgement?
Your system prompt plus tools. The prompt describes how to handle common requests. Tools give the AI access to calendar, CRM, knowledge base, SMS, and anything else you expose. Example system prompt fragment:“For service appointments, always check the calendar first. For billing questions, transfer to Extension 104. For urgent clinical questions after hours, transfer to the on-call mobile number. Never offer medical advice , always transfer clinical questions to a qualified practitioner.”
What callers notice
- The AI answers in one or two rings
- It has your company’s name and an appropriate greeting
- It understands natural language , no keypad required
- It handles common questions directly
- Transfers are fast and land on the right person the first time
- Recent callers are recognised by phone number when their contact exists in your CRM
What callers don’t notice (but should)
- It’s an AI. Callers that ask “am I talking to a robot?” are told the truth. Everyone else is just helped.
- It never says “press 1” , because DTMF trees are the problem we’re replacing.
- It doesn’t read disclaimers, read back long menus, or apologise for wait times. It just helps.
Next steps
Conversation Flow Library
Six real industry examples with full scripts and configuration recipes.
Migration Playbook
How to roll out, parallel-run, and cut over with zero downtime.

