"For sales, press 1. For support, press 2. For accounts, press 3. To hear these options again, press 9."
The caller has a problem with something they bought last week. Is that sales? Support? Accounts? They guess, press 2, wait in a queue, and are told they need a different team. Or they do what most callers have learned to do: press 0 until a human appears.
A traditional IVR makes the caller sort themselves into your org chart. A conversational IVR asks them what they need and does the sorting itself. This is how that works, why it routes calls better, and how Convarza AI does it — with the keypad menu still there for the few places it earns its keep.
What a traditional IVR actually does
A traditional IVR is a tree of keypad choices — DTMF, the tones your phone makes when you press a key. Each branch was decided by someone in your company, usually years ago, and it reflects how you are organised, not how customers describe their problems.
That gap causes the same failures everywhere:
- Callers guess. "Issue with my purchase" fits three options, so a share of calls lands with the wrong team and gets transferred.
- Menus grow. Every new product or team adds an option, until the menu is too long to remember by the time it finishes.
- People skip it. Pressing 0 repeatedly is a learned habit, and it sends your callers to whoever is first in line, not whoever can help.
- It cannot listen. The menu has no idea the caller is angry, in a hurry, or already explained the problem to you on WhatsApp yesterday.
What conversational IVR does instead
A conversational IVR — also called intent-based or natural-language call routing — replaces the menu with one open question: "How can I help you today?" The caller answers in their own words, an AI works out what they want, and the call goes straight to the team that handles it.
- "I'm having an issue with my purchase."
- Straight to your sales team, who handle orders — no menu, no guess.
- "I want a quote for fifty units."
- Sales, flagged as a new enquiry.
- "The app keeps logging me out."
- Technical support.
- "I was charged twice this month."
- Accounts.
- "I just want to speak to someone."
- A person, straight away. That route should always exist.
The caller never hears a list. They say one sentence, and the next voice they hear belongs to someone who can help.
Traditional IVR vs conversational IVR, side by side
| Keypad IVR | Conversational IVR | |
|---|---|---|
| How the caller chooses | Presses a number from a list | Says what they need |
| Who does the sorting | The caller | The AI |
| Time before reaching a team | The whole menu, sometimes twice | One sentence |
| Wrong-team transfers | Common — callers guess | Rarer — routed on what was said |
| Adding a new team | Another menu option for everyone | A new route, invisible to callers |
| After hours | "Please call back during office hours" | The AI can answer, take details or book a callback |
| What the team sees | A ringing phone | The call on the contact record, with what the caller said |
How Convarza AI routes a call by what the caller says
In Convarza AI, the path a call takes is a call flow — a short chain of steps such as business hours, ring agents, AI call bot, IVR menu and voicemail. Conversational routing is that chain with an AI agent at the front:
- The call arrives on your own number — Twilio, Maqsam or your SIP trunk — and the flow checks your business hours.
- An AI voice agent answers with an open question, in English, Hindi or any language you sepcified.
- The caller explains in their own words. The agent asks one short follow-up only if the answer is genuinely unclear.
- A handover condition matches — "problem with a purchase", "wants a quote", "asks for a person" — and each condition names where the call goes.
- The flow rings that team. If nobody picks up, the call does not die: the AI can take the details, book a callback from the calendar, or send it to voicemail.
- The team sees the context. The call is logged on the contact's record with its transcript, so nobody asks "how can I help you?" twice.
And because the agent is a conversation, not a switchboard, many calls never need routing at all. "What time do you close on Sunday?" gets answered on the spot. Why an AI agent can finish calls an IVR can only sort.
Designing routes that work
- Start with your destinations, not your intents. List the teams that can actually take a call — usually four to eight. Twenty routes into five teams is complexity nobody needs.
- Describe each route in customers' words. Callers say "my order hasn't come", not "fulfilment enquiry". Pull real phrases from call recordings and WhatsApp chats.
- Write the person route first. "Caller asks for a person" must always work, the first time they ask. Writing handover conditions.
- Let it ask once, not three times. One clarifying question is helpful; an interrogation is a menu with extra steps.
- Check someone is behind every route. A route to a team nobody staffs at 8pm is worse than the AI taking a message. Choosing where a handover goes.
- Test with real voices. Accents, Hinglish, background noise, a caller who rambles. What to test with Indian English.
When the keypad is still the right tool
Conversational routing is not a rule against menus. Convarza AI keeps the IVR menu as a step in a call flow because some moments genuinely suit a keypress:
- Entering numbers — a PIN, an account number, a booking reference.
- A short fixed choice — "Press 1 to confirm your appointment, 2 to change it."
- Callers who prefer it. "Say what you need, or press 0 for the operator" gives both kinds of caller a fast path.
The point is that the menu becomes one step where it helps, not the front door every caller has to get through.
What to measure after you switch
- Wrong-team transfers — the clearest sign routing is working.
- Time to the right person, from ring to the correct team answering.
- Calls abandoned before reaching anyone.
- Calls resolved by the AI without any routing at all.
- First contact resolution, measured honestly. How to measure it.
Start on one number, read twenty transcripts a day for the first week, and adjust the route descriptions wherever the AI hesitated or guessed. Call metrics worth a dashboard.