All products and features

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.

Illustration of learning and knowledge. The workflow is explained below.
AI illustration of the workflow. Not a screenshot.

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.

  1. Find questions needing help

    Conversations are assessed and similar questions grouped to reveal recurring themes.

  2. Use human answers as evidence

    Staff replies in the linked ticket or email thread can provide the reference answer for a suggestion.

  3. Test and approve

    Review the question and context. Compare answers with and without the change, edit and decide what to use.

  4. Apply approved knowledge

    Approved knowledge and instructions help with later enquiries. Review quality and keep improving.

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.

  1. The agent needs help

    The question is passed to the team as a ticket.

  2. A person answers

    The employee checks and replies: “Yes, by appointment between 10 and 12.”

  3. The answer is reviewed

    The team confirms the wording and validity before the agent uses it.

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.
Explore integrations

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.

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.

Book a demo
Snakk
FROM AN IDEA TO A PRACTICAL TASK

See what Snakk could do for you.

We start with an enquiry you know. Then we show how AI can answer, understand and help.

  1. 01
    Your working day

    Which enquiries would you like help with?

  2. 02
    A relevant example

    Phone, chat and the task around them.

  3. 03
    A clear next step

    Setup, scope and a specific proposal.

Request a Snakk demo

BEFORE YOU GO

Hear Snakk for yourself.

Wondering what a conversation with AI actually feels like? Call the demo agent, or let us show an example for your business.

CALL THE AI DEMO+47 85 33 02 00 ↗Conversation demo without system connections or actions. Norwegian number; your operator’s call charges apply.