Sales approach
Confirm timing before recommending the next step.
Self Learning
Turn yesterday’s conversations into context for the next one.
Your chat history holds useful sales approaches, the wording customers respond to, and the questions that reveal what your Agent still needs to know.
Real conversationsTeam-reviewed learning
DealOnca
BetaDealism AI Assistant
I’ve reviewed yesterday’s customer conversations.
Two patterns stood out: customers asked about bundle sizing, and a confirmed discount answer helped close the conversation.
Want me to show you the latest sales tactics?
Show me the new sales tactics DealOnca has learned recently
No new tactics to review right now 🔥
Here’s the current status:
- New (pending): 0
- Already accepted: 1 — the 10% discount strategy your team confirmed
- Total learned: 1
DealOnca keeps finding useful tactics in customer conversations. New ones surface here for your team to review.
Yesterday’s SalesKnowledge Gap AnalysisOptimize Agent
Type here
Seller Voice
Warm, clear, and practical—without sounding pushy.
What is Self Learning?
Find the Useful Lesson Inside the Conversation History
Self Learning finds business signals in the conversations your team is already having and turns them into results your team can review.
- 1Conversation
Customers ask real questions, compare options, and reveal what they need before deciding.
Conversation
- 2Signal
Self Learning looks for a reusable sales approach, Seller Voice pattern, or missing piece of knowledge.
Signal
- 3Learning result
The finding becomes visible in Self Learning Results instead of staying buried in the inbox.
Learning result
- 4Team review
Your team decides whether the result should inform an Agent’s knowledge, instructions, tone, or rules.
Team review
Unlike a chat archive that only preserves messages, Self Learning helps surface how customers decide, how your team sells, and what information the Agent is missing. It does not turn every message into a rule. Your team decides what should inform the Agent’s knowledge, instructions, tone, or conversation rules.
Self Learning in a minute
One Switch. Your Conversations Become the Starting Point.
Step 1 of 3
Open Self Learning
Go to Dashboard, find Core Setup, and select Self Learning.
Select the next card to continue
Dashboard
Sep 11, 2026Today
Sales0Contacts0Messages0
Core Setup
Self Learning
BetaKeeps learning from conversations
Step 2 of 3
Turn it on
Enable the master switch, then confirm by selecting Turn on.
Select the next card to continue
Dashboard
Sep 11, 2026Today
Sales0Contacts0Messages0
Core Setup
Self Learning
BetaKeeps learning from conversations
Turn on Self Learning?
Once enabled, Dealism keeps learning from conversations.
CancelTurn on
Step 3 of 3
Review new results
Open Self Learning Report when an unread number appears in Tasks.
Select the next card to continue
Dashboard
Sep 11, 2026Today
Sales0Contacts0Messages0
Core Setup
Self Learning
BetaKeeps learning from conversations
Tasks
Self Learning Report
View DealOnca's latest sales learnings
D
DealOnca
Dealism AI Assistant
New sales learnings are ready for your review.
Sales approach · Seller Voice · Knowledge gap
The full guide covers desktop and mobile access, unread-result behavior, and what happens when Self Learning is turned off.
Three kinds of learning
Keep the Lessons That Make Selling Feel Like You
Sales approaches
Surface useful ways to follow up, explain a choice, handle hesitation, or move interest forward.
Is this right for a five-person team?
What timeline are you working toward?
Seller Voice
Identify the tone and phrasing customers already recognize as the way your business communicates.
VOICE PATTERNFOUND
Warm · direct · practical
Knowledge gaps
See where repeated questions reveal missing product, delivery, payment, or policy information.
Weekend delivery
Size exchange policy
Installation time
The learning stays visible
See the Pattern. Decide What Happens Next.
New results appear in Dashboard To-dos. DealOnca gives your team a focused place to review what the system has found.
A sales approach can inform an Agent update, a Seller Voice pattern can help protect your tone, and a knowledge gap can show where approved information is missing. Your team remains responsible for deciding what should change.
Built for small-business sales
Conversation Learning Without an Enterprise AI Operation
Enterprise systems and Dealism start from different operating realities.
Enterprise self-learning may connect CRM data, evaluation agents, simulations, testing environments, and governance controls. Dealism starts with an SMB’s daily work: talk with customers, identify what helps them move forward, and make those lessons visible without a separate AI operations function.
Enterprise systemDealism for SMBs
It is a different starting point. Dealism keeps conversation learning understandable, reviewable, and close to the Agent your team manages.
Keep every Agent focused
Better Context Starts With Real Customer Questions
The most useful improvements are often specific: a better delivery answer, a more natural product explanation, or a clearer qualifying question.
Keep review human
Your team decides what belongs in the Agent’s knowledge, instructions, tone, or rules. A learning result is a useful starting point, not an automatic rewrite.
Send the lesson to the right Agent
When Agents have different jobs, the lesson can inform the right one instead of becoming a generic instruction for everyone.
Explore Independent Agent ConfigurationFrequently asked questions
Self Learning FAQ
Not necessarily. The system first needs conversations to learn from. Results appear after it identifies a sales approach, Seller Voice pattern, or knowledge gap.
It shows how many new learning results you have not viewed. Opening the results marks the current unread set as read, so the number can decrease or become zero.
Yes. Turning it off stops learning from new conversations. Results already generated remain available.
Self Learning is currently in Beta and appears only for accounts with access.
No. It surfaces context from conversations. Your team decides what to review and what to change in the Agent.
Your conversations already contain the lesson.
Give Your Agent a Better Starting Point for the Next One.
Build and test an AI Customer Agent that stays close to the sales context your business has already earned.
Build my AI Customer Agent