Call center
Response
Depends on people and staffed hours
Follow-up
Manual entry after the call
Quality
QA only on sampled calls

Strategic partner in Korea
BringTalk spun out of Market Fit Lab, which has designed enterprise growth through 250+ projects and 3,000+ A/B experiments. We brought that operating know-how — moving metrics with Korean enterprises like Hyundai, Samsung, and LG — straight into Voice AI.
0y+
in growth ops
0+
A/B experiments
0+
enterprise projects









BringTalk does not split the problem into features. We connect it back into operating outcomes.
Customers do not wait. An unanswered call can become lost revenue.
Missed calls and repeat requests move into callback scenarios and next actions.
The same question gets different answers. Manuals exist, but quality varies by person.
Policies, manuals, and exception rules are applied consistently in the conversation.
Recordings pile up without improvement. Patterns and failures stay hidden.
Every call becomes a reviewable record and a source for scenario improvement.
The work after the call has to continue automatically. The conversation should become bookings, CRM updates, team alerts, and QA records.
Live call · 09:15
Customer
Can I book service this Saturday morning?
Operating record
Conversation and follow-up actions are kept together as one record the operating team can review.
Customer call
Analyzing the conversation in real time.
Appointment booked
A Gangnam branch service slot is confirmed.
CRM updated
Reason for call and lead status are written back.
Manager notified
The manager receives the conversation context.
QA recorded
Policy, tone, and resolution are scored.
BringTalk is not a cheaper way to answer calls. It designs an operating model where calls become revenue and data.
Response
Depends on people and staffed hours
Follow-up
Manual entry after the call
Quality
QA only on sampled calls
Response
Mostly fixed answers
Follow-up
Work breaks after the answer
Quality
Limited improvement data
Response
24/7 response with human handoff
Follow-up
Booking, CRM, and alerts automated
Quality
Every call becomes improvement data
HOW WE WORK
Operating outcomes do not come from product features alone. BringTalk works from call logs and system structure into scenario design, integrations, and QA improvement.
30-day deployment timeline
Day 01
Review call logs, missed calls, repeat requests, and handoff rules from real operations data.
Day 07
Turn scripts, manuals, exceptions, and human handoff rules into one conversation flow.
Day 14
Connect bookings, CRM, tickets, and alerts so post-call work is captured automatically.
Day 30
Use call data to keep adjusting QA standards, policy, and scenarios with the ops team.
Proven results
Sales conversion
14×
0.7% → 10.1%
Global automotive OEM · one lead-qualification agent · ~4,000 leads (Dec ’24–Mar ’26)
77% ↓
Cost per call-minute (₩600 → ₩140)
20% ↓
Customer acquisition cost vs. prior average
Built to grow together
If the agreed KPI isn't met, we don't bill the balance. You pay only for outcomes that are proven.
As your results climb, the outcome fee follows.
70
Upfront
30
On KPI
If the KPI isn't reached, we don't bill the outcome balance.
One call says more than a pitch
Instead of more words — have a 2-minute call with a BringTalk agent.
or call us — 1588-XXXX
Korea-region processing, end-to-end encryption, and a Zero Data Retention policy. Call recordings are stored separately per your policy.
We sign a security addendum, support your legal team's pre-review, and meet industry compliance (PIPA, finance/OEM guidelines).
REST API, webhooks, SIP trunking, and prebuilt CRM/CTI integrations. You keep your existing phone numbers.
Edit prompts, KB, and tools directly in the console, with 4 weeks of team training and full data/model export rights — built for self-sufficiency.
On critical failure we route to a human agent instantly, with eval-score batch validation and one-click rollback.
All raw data, prompts, KB, and logs are yours. We guarantee a 30-day export and offer migration to your own infrastructure.
In 30 minutes we map where your call operations leak and what to automate first.