AI sales OS for insurance distribution
The operating system for high-trust, high-value sales.
Intalk turns your best managers’ know-how into practice, review and rule checks, so agents rehearse real customer situations and managers see the evidence.
Now opening pilots with US agencies, IMOs and FMOs — for owners and sales-ops, training, QA and compliance leaders.
01 — The problem
In insurance distribution, the agency owns the training burden. Managers answer the same questions again and again, coach from memory, and learn who is struggling only after results drop. These are the points where the journey breaks, as described by Korean agency managers.
01
Candidate lists overflow, but candidates skip meetings after matching. The bottleneck isn’t candidate count.
02
Post-license training depends on one manager’s personal experience and manual work.
03
Managers can’t see consultation quality. Records are scattered across spreadsheets and chat apps.
04
Weak results after appointment, a warm network exhausted. Coaching needs are noticed too late.
05
Early attrition leaves hiring and training costs unrecovered.
I want to know in advance who will stay.
Asked for: aptitude insights and earlier coaching signals.
Record and analyze calls without manual entry.
Asked for: call transcription, analysis and automatic CRM entry.
Keep evidence of how the sales process was explained.
Asked for: rule checks and an evidence log.
What branch managers want: interviews and operating data from 23 paying Korean agencies.2
02 — Try it
This is the loop your agents practice in: answer a customer, get scored on approved criteria, and see what the rule check catches before a real customer ever hears it.
Scenario · Term life · Suitability
A customer in their forties is comparing two term life plans and asks:
“Why are you recommending this plan? Is it really the best fit for me?”
Pick the answer your newest agent would give.
Review
–/ 4 criteria
Illustrative example in English. In a pilot, the scenarios, criteria and rules come from your organization’s approved material.
03 — Product
One loop, run on your own approved material. AI handles the repetition; your managers keep the judgment.
One customer situation at a time, built from the products and rules your organization has approved.
Answers are scored on a fixed rubric with the evidence attached, so a manager can judge in minutes.
A clear next action: the weak topic, the corrected explanation, and another round until it holds.
For agents and prospective agents
Korean recruiting platform. Free for candidates.
For branch managers and admins
Matching and enterprise scopes.
For agency HQs and insurer compliance teams
Enterprise: scoped PoC, then a separately agreed license.
LivePilotPlannedStatus as reported by the company, October 2026.
04 — How the checks work
INCE separates understanding from judgment. A language model structures what was said; encoded rules and a solver decide whether it holds. Anything uncertain goes to a person.
Input
Policy terms, internal rules and the consultation content.
Stage 1 · Understand
An LLM turns every sentence into explicit claims.
Stage 2 · Rule check
An SMT rule set and the Z3 solver test claims for violations.
Stage 3 · Block
Exaggeration, misguidance and banned phrases are blocked. Low confidence goes to human review.
Output
Verdict, cited clause and rule-version log, kept together.
Verdict, cited clause and rule version are logged together to support internal review and audit preparation.
Encoded rules can be revised without retraining the language model. Changes still get expert review and regression testing.
2granted7pending1PCT
Patented proprietary engine. Domain rules and training data support the proprietary layer.5
Coverage depends on the rules, inputs and evaluation set. Evaluation targets for pilots are agreed with each customer; human review remains part of the workflow.
05 — Start with a pilot
One workflow, measured against your own baseline. If it doesn’t clear the bar we agreed on, we narrow the scope or stop.
Set the sliders to match your team. The pilot measures the real number against your baseline.
Manager time on onboarding
1,200hours / year
About $72,000 a year, or 30 working weeks of a manager.
Back each year at the pilot target of 20% less manager time
$14,400
Your inputs, simple arithmetic. Not a forecast or a guarantee.
| Element | Proposed agreement |
|---|---|
| Scope and owner | One workflow, 5–10 agents, one training manager and a named budget sponsor. |
| Baseline | Time the current task and score a baseline on a fixed, human-reviewed rubric. |
| Evaluation | Equivalent unseen scenarios at the end. We record completion, rubric scores and manager review time. |
| Decision criteria | Agreed before we start. For example: 20% less manager time, an 80% rubric threshold and no critical rule errors in the evaluated sample. |
| Buyer commitment | Sponsor, evaluation access, scope, commercial terms and a dated paid-conversion decision. |
| Stop or narrow | No sponsor, unusable data or a missed bar triggers a re-scope or a stop. |
A four-week pilot ends in a decision, not an open-ended trial.
06 — Traction
Intalk has run recruiting, onboarding and consultation training for Korean insurance agencies since 2022. That operating base is where the product, the data and the next market come from.
KRW500M+
Total company revenue, January–August 20261Services & projects incl. · not ARR
23
Paying recruiting agencies2September 2026
80
Agencies onboarded2September 2026
2,847
Partner records on Intalk Partners3Agents & prospective agents
500K+
Consultation records3Company-reported
105×32
Scenarios × insurers in the financial-planning simulation3Company-reported
All figures are company-reported and unaudited. See notes.
Each has a different scope. PoCs, pilots and program selections are not commercial contracts, and names identify project context, not endorsement.
Operating base
Paying agencies, product and data. Seoul HQ.
Training PoC
Agent training with Shinhan Life Vietnam.
ASEAN hub
Partners and PoC opportunities across ASEAN.
Entry market
Agencies with a named training or QA owner.
Insurance first, then adjacent high-trust sales teams where accurate, accountable explanations matter, such as finance and pharma.
| Path | Buyer | Commercial basis |
|---|---|---|
| Recruiting | Korean general agencies | Candidate-matching packages |
| Annual license | Korean agency seats | Per seat, per year, prepaid |
| Enterprise | Insurers and sales teams | Scoped pilot, then a separately agreed license |
The public free-launch offer is separate from paid enterprise work.
Every number is company-reported. The investor overview has the evidence behind each one, the unit-economics definitions we report against, and what we are testing next.
07 — Team
Founder & CEO
AI engineering
Strategy
From the founder
“Intalk isn’t here to replace salespeople. We turn managers’ experience into a system, so the people in the field can help customers more accurately and more responsibly.”
08 — Meet us
Running an agency, a training or QA team, or investing in insurance distribution? Book 30 minutes with us on the ground.
Oct 19–23, 2026Washington, D.C.
With the 4 S&T Institutes Global Launchpad.
Oct 27–29, 2026Singapore
Singapore Week of Innovation and Technology.
Oct 30, 2026Singapore
Selected for the Singapore Deep Tech PoC program.
09 — Global launch
Our general launch brings practice, review and coaching to more high-trust sales teams. Apply now, and we’ll review the right starting point for yours.
12months free
after launch
Planned launchNovember 30, 2026
Applications are reviewed. Submitting one does not confirm approval, seats or immediate access; participation, scope and any services outside the offer are confirmed with your team. The free-launch offer is separate from paid enterprise work.
A few details about your organization and role. We reply with a clear next step.
Apply for 12 months freePrefer a conversation first? biz@intalk.im
We use what you share only to review and answer your application. Privacy notice
10 — Questions
The product UI is Korean today. For a US pilot we build the English workflow and scenarios around your material, and we agree up front what “ready” means and how it is measured.
One workflow, 5–10 agents, a training manager who owns the pilot, a named budget sponsor, and the approved material the scenarios should follow: scripts, product guides and compliance checklists.
Data permissions are agreed in writing before delivery. Practice scenarios can be built from synthetic or de-identified examples, so a pilot does not need access to live customer records.
We encode the rules from your material, such as required disclosures and phrases agents must avoid, and INCE checks practice answers and AI-generated answers against them. Coverage depends on the rules and the evaluation set, so uncertain cases go to a person, and “no critical rule errors in the evaluated sample” is one of the decision criteria.
No. Intalk turns your managers’ experience into practice and review, so agents get more repetitions and managers stop repeating themselves. People make the final call on anything a customer will hear.
Use of Intalk AISO for 12 months from the general launch, planned for November 30, 2026. Which features, how many seats and any services outside the offer are confirmed with your team when we review your application. It is separate from scoped enterprise pilots.
No. The demo and the review cards are illustrations in English that show how the loop works. The current product UI is Korean; the screen in the Product section is a design prototype with synthetic data.
Scope, price and start date are agreed before delivery, together with a dated decision on a paid license. If the pilot clears the agreed bar, it converts to an annual license and expands team by team. If it doesn’t, we narrow the scope or stop.
11 — Contact
Insurance & sales teams
A 30-minute call about one workflow, then a draft scope with a baseline and a success bar.
Investors & partners
Our investor materials, with the evidence behind every number and what we are testing next.
Press
Interviews, fact checks and logos. We answer in English and Korean.
Company facts
