SNAKK / LEARNING
Your team knows the answer. Help the agent learn it.
When a person helps where AI falls short, their answer contains valuable knowledge. Snakk identifies improvements and turns them into suggestions your team can test, edit and approve.
For businesses that want everyday customer work to improve the agent instead of maintaining everything from memory.
MORE ROOM FOR GOOD SERVICE
What it does for your team.
See what is missing
Distinguish knowledge gaps from unclear instructions or missing system connections.
Use real team answers
Employees’ answers can provide the foundation for knowledge the agent needs.
Keep control
Test, edit or reject suggestions. Learning does not change knowledge or instructions without approval.
FROM NEED TO FOLLOW-UP
How it works.
A clear workflow, with knowledge, ownership and control throughout.
THE DETAILS THAT MATTER
Built for the work around your customer.
The shortest route starts in a ticket
When an employee resolves an agent-created ticket, “Teach the agent this” brings up the answer for review. The person checks it before saving it as knowledge, making improvement part of existing work.
Not every gap needs more text
The agent may need a rule, a fact or access to a system. Suggestions distinguish knowledge, guidelines and tools. A suggested system connection is work to evaluate, not an integration that builds itself.
Try the change before approval
A test view can compare responses with and without a suggestion on selected questions. This provides a concrete comparison, while your team still checks facts and suitability.
Knowledge owned by your business
Company information, instructions and approved answers form the foundation. Learning improves these inputs; it does not retrain the underlying language model. Shared knowledge collections can support several activated agents.
AN ILLUSTRATED EXAMPLE
A person answers once. Knowledge for next time.
Illustrated example: Saturday collection hours are missing from the agent’s knowledge.
Next time, the agent has better information. This is an illustration, not a measured customer result.
FROM INTEREST TO EVERYDAY USE
A practical starting point.
1. Start with core knowledge and clear instructions.
2. Give the agent a defined job and follow up tickets.
3. Assign people to review and approve suggestions.
4. Test changes and review real responses afterwards.
INCLUDED IN PLANS
Part of Snakk.
Tickets, contacts, knowledge and approved learning come with Snakk plans. Choose channels, capacity and team seats.
We confirm features, connections, access and onboarding before ordering. Requested setup and custom work are agreed separately.
GOOD TO KNOW
Answers before you start.
Is the agent self-learning?
It identifies improvements and proposes changes based on the work. People approve changes before knowledge or instructions are updated. “Learning with control” is a more precise description.
What if nobody knows the answer?
A suggestion can ask your business to provide it. Missing facts should not be replaced with an invented answer.
Can it change safety rules or create integrations?
Learning suggestions must not change protected safety and handover rules. Tool suggestions do not create connections automatically. Such changes require separate configuration and testing.
How much better will it become?
That depends on knowledge, tasks and follow-up. We do not promise a specific improvement percentage. Measure the quality of your own enquiries.
Does learning cost extra?
Approved learning, knowledge and Tickets are included in Snakk plans. Ordered help with setup, knowledge work or improvements is priced according to the agreed scope.
SEE THE CONNECTIONS
More than one useful feature.
AI-first customer service ↗
AI-first customer service with phone, chat, email, tickets and approved learning. Connect customer conversations and follow-up in Snakk.
AI email ↗
AI for your support inbox. Get drafts, controlled automatic replies and email threads organised in Snakk Tickets.
Snakk Meetings ↗
Tickets and customer follow-up ↗
Snakk Tickets brings together enquiries, email and meeting tasks. Follow up with owners, status, context and approved AI learning.
SHOW US WHAT YOU NEED
See how your agent can learn from your team.
Bring a typical enquiry or task. We will show how Snakk could fit your work and what needs to be configured.
