100+Voice AI supports 100+ languages. Quality for a specific language, accent, customer vocabulary and acoustic setting is validated on the customer’s own recordings before productive use.
Turn conversation into evidence
Visit recording and transcript
These illustrative fragments show the mechanism: an approved recording stays connected to the visit, becomes a transcript and preserves the outlet context.
Good morning. Shall we review current stock and the promotion items?
00:17
Customer
Yes. We have two packs of the 500 ml drink left. What are the promotion terms?
00:31
Sales representative
The terms apply to the agreed volume. I suggest adding four packs.
00:46
Customer
Add two. We will make the payment on Thursday.
Illustrative transcript
Mixed-language conversation in an outlet
Visit context: Outlet “Baraka” · approved field visit recording
00:06
Sales representative
Good afternoon. Shall we review today’s promotion and order?
00:19
Customer
نعم، لكن لدي سؤال عن السعر. When do the new terms start?
00:33
Sales representative
They start on Monday. هل نضيف صندوقين الآن؟
00:45
Customer
نعم، صندوقان. Payment will be on Friday.
A reviewable visit script
Review required topics - not a score for its own sake.
Voice AI highlights the context it finds. A supervisor sees what was discussed, where human review is required and which action should be checked during the next contact.
Current criterion
Recording rule
Before analysis, verify the approved notice or consent flow and the purpose of processing.
Fragment and context
Recording policy and visit context
Review result
Permission depends on the customer’s approved rules
Next action
Do not process a recording without an agreed basis
Current criterion
Customer need
Mark customer questions and discussion of current stock or demand in the transcript.
Fragment and context
Question about price and remaining stock
Review result
Topic found - context is available for review
Next action
Check whether the representative gave a complete answer
Current criterion
Offer and promotion
Show whether the agreed terms, SKUs and promotion mechanic were discussed.
Fragment and context
Promotion and proposed-volume references
Review result
Topic found - commercial correctness requires review
Next action
Compare the conversation with the current terms
Current criterion
Order
Connect an agreement about an item and quantity with the order recorded for the visit.
Fragment and context
Two packs or two cases
Review result
Commercial signal captured
Next action
Reconcile the signal with the created order
Current criterion
Commitment
Turn a payment promise or follow-up date into a reviewable signal with an owner.
Fragment and context
Payment on Thursday or Friday
Review result
An owner and verification date are required
Next action
Assign the follow-up and verify the outcome
From a phrase to an accountable owner
Each material signal receives context and a next step.
Different phrases require different responses. Select a scenario to see what a manager reviews and where human confirmation remains mandatory.
Signal
Promotion question
“What are the promotion terms?”
Signal
The customer requested a commercial condition
Owner
Supervisor / trade marketing
Signal
Price objection
“The price is higher than on the previous delivery”
Signal
The price objection requires contract and pricing context
Owner
Commercial manager
Signal
Customer commitment
“We will make the payment on Thursday”
Signal
Payment promise with a stated date
Owner
Account owner / Finance & AR
Signal
Disputed fragment
“The phrase is unclear because of background noise”
Signal
Low confidence or ambiguous context
Owner
Supervisor
One conversation - different decisions
Each role receives its own management question.
A transcript does not make the decision. It shortens the path from a conversation to review, coaching or an access-control action.
Field Sales Leader
Why did the customer decline, and which commitment still has no action?
Decision
Assign another contact, change the visit script or route the issue to the accountable owner.
Evidence to review
Transcript, order, route and the result of the next customer contact
Supervisor / Coach
How can I select conversations for focused review without listening to the whole archive?
Decision
Assign coaching on a specific topic and verify its use during the next contact.
Evidence to review
Selection criterion, source fragment and follow-up verification
Legal / IT Director
May this recording be processed, and who may access it?
Decision
Approve the scenario, restrict access or stop processing until the policy is satisfied.
Evidence to review
Legal basis, notice, role access, retention period and access log
Governed AI
Recording and analysis run only inside an agreed policy.
Rules are fixed before productive use and depend on country, scenario, participants and the customer’s internal policy.
01
Purpose
Define why the conversation is recorded and which decisions may use the result.
02
Notice or consent
Agree the required basis and participant notice for the selected country and scenario.
03
Role-based access
Restrict recordings, transcripts and analysis results to the roles that need them.
04
Retention and deletion
Set the retention period, deletion process and response to a participant request.
05
Human review
Keep disputed fragments and the resulting management decision with an accountable employee.
For the conversation-review decision
Objections to resolve
Value appears when an agreed recording becomes a reviewable signal and a manager makes a specific decision from the conversation.
Will Voice AI become hidden surveillance of employees or customers?
That workflow is unacceptable without an agreed basis. Define notice and consent, recording purpose, access roles, retention and deletion before rollout.
Are all languages, accents and noisy visits recognised equally?
Voice AI supports 100+ languages, but quality depends on the specific language, acoustic conditions and vocabulary; test it on customer material.
Does a transcript prove the quality of a sales representative’s work?
No. It provides review material alongside the order, route and other visit facts; the accountable manager makes the decision.
Platform scale
The module runs on Smartup’s shared data model
Shared customer, outlet and SKU master data connects each operation with sales, inventory, finance and analytics.
800+
active mid-sized and large companies in Central Asia
28 000+
daily active users
30+
confirmed integrations
Choose a conversation review scenario
Tell us about languages, team objectives and recording rules. We will agree on what to analyse, who reviews the result and what is needed before launch.