Intent Detection
What They Asked For. What You Promised.Customer intent detection that separates what was asked from what was promised.
SIYA reads every analyzed call and returns two lists: what the customer asked for, and what your rep promised. She names the one thing the call was mostly about and suggests a call outcome, so what was asked and promised on the phone doesn’t stay buried in the recording.
- Asks and promises, kept apart
- The main reason for the call
- A suggested call outcome
How it works
- A call is analyzedTranscribed and read by SIYA
- What the customer askedShort labels, one per request
- What the rep promisedKept on a separate list
- A suggested outcomeShown until a rep sets one
Know Why They Called. Keep What You Promised.
Everything your rep committed to is listed on the call, apart from what the customer asked for.
The main intent is stored on its own, so calls can be counted by what they were mostly about.
A suggested call outcome shows until the rep picks one from your own list.
The same reading proposes contact updates and follow-ups for a person to accept.
Intent on Every Call in Three Steps.
Take Your Calls
Each recorded call is analyzed after it ends, with nothing for the rep to do.
Read Asks and Promises
Open the call to see the customer’s requests, your rep’s commitments and the main intent.
Act on Them
Pick the call outcome, then accept the follow-ups and contact updates SIYA suggests in your feed.
What Is Customer Intent Detection, and What Does It Catch?
Customer intent detection works out what a customer wanted from a call. Adoptiv does it on every analyzed call and goes one step further: it lists what the customer asked for and what your rep promised as two separate lists, because only one of them is yours to keep.
Both lists use short labels rather than paragraphs, with a sentence of notes underneath. SIYA also names the one thing the call was mostly about and stores it on its own, so you can count calls by caller intent. The summary answers the same call in readable prose; customer intent analysis gives you labels you can count.
For the call outcome, SIYA suggests one of 11 standard outcomes, such as interested, callback requested or do not call, with a short phrase. It is a hint, not an entry: it shows only while no call outcome is set, and your reps pick the real one from your own list. Nothing is written onto the call for them.
The same reading carries the AI Actions SIYA puts in your feed: proposed contact updates and follow-ups, each accepted or rejected by a person. Call intent analysis is part of AI call analysis, unlimited on AI+ and Dialer Plus.
Call Intent Analysis on Every Conversation.
What the customer asked for, as short labels.
What your rep promised, on a list of its own.
The one thing the call was mostly about, stored for counting.
A sentence of notes beside the two lists.
For Teams That Make Promises on the Phone.
Intent Detection vs Reading the Notes.
| What | Rep notes | With Adoptiv |
|---|---|---|
| Customer requests | Rep notes: Mixed into free-text notes | With Adoptiv: Listed as short labels |
| Rep promises | Rep notes: Remembered, or not | With Adoptiv: Listed separately |
| Why people call | Rep notes: Guessed from a sample | With Adoptiv: Main intent stored on every analyzed call |
| Call outcome | Rep notes: Picked by the rep | With Adoptiv: Suggested, then still picked by the rep |
Intent Detection Questions, Answered.
What is customer intent detection?
AI that works out what a customer wanted from a conversation. Adoptiv lists the customer’s requests on every analyzed call, separately from what your rep promised, and names the main reason for the call.
Why keep asks and promises apart?
Because they are different obligations. What the customer asked for tells you what they want; what your rep promised is work your team owes.
Does it set the call outcome for me?
No. It suggests one of 11 standard outcomes with a short description. The rep picks the real outcome from your own list, and the suggestion disappears.
Which outcomes can it suggest?
Interested, not interested, callback requested, appointment set, voicemail left, wrong number, do not call, no answer, follow up needed, completed and other.
Does it work on emails too?
Yes. AI email analysis returns the customer’s intentions on threads with your leads.
What is an AI call disposition?
A call outcome suggested by AI from the conversation. Adoptiv suggests one of 11 standard outcomes, and your rep sets the real one from your own list.
Does the suggested call outcome match my own outcome codes?
Not automatically. The 11 suggestions are a standard set; your reps choose from your own list, so your reports stay in your categories.
Can I count calls by intent?
Yes. The main intent is stored on its own for each analyzed call, so calls can be counted by what they were mostly about.
Is intent detection unlimited?
It is part of AI call analysis, which is unlimited on AI+ and Dialer Plus. The pricing page has current prices.
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Intent detection is part of AI call analysis, unlimited on AI+ and Dialer Plus. Free for 14 days, no credit card.
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