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Solution · Technology and SaaS

Your AI finally knows your product.

Kentor brings together what's in Jira, Notion, Slack and each customer's history and delivers that context to whoever handles the account and to any AI the team already uses, with permissions. Then it puts agents on support, onboarding and renewal. The team approves what matters.

Kentor Brain

Company assistant

via Kentor Brain

Pedro · Support

Has this customer already reported the export error?

Yes, twice this month. The product team opened the fix last week, and it goes into Friday's release.

Export error · JiraJira · owner: Product

Fix for the large report export error, expected in Friday's release.

Company assistant

via Kentor Brain

Pedro · Support

What discount does this customer have in their contract?

That information belongs to Finance and you don't have access. I can ask Juliana to answer.

Without × with Kentor

Where context gets lost.

  1. 1Repeated ticket

    Support answers the same setup question every day

    With Kentor: What has an answer in the base goes out on the spot; the rest arrives summarized

  2. 2"Ask the dev"

    Engineering interrupted to explain how the feature works

    With Kentor: The answer comes from what's already written in Jira, Notion and Slack

  3. 3The team's AI

    Everyone pastes context into ChatGPT and prays

    With Kentor: Claude or ChatGPT query Brain, with the asker's permission

  4. 4Onboarding

    Each implementation depends on who picked up the account

    With Kentor: The same intake checklist for every customer, with an owner and a deadline

  5. 5Renewal

    The dissatisfied customer shows up in the cancellation notice

    With Kentor: Account cooling off flagged early, with the history at hand

  6. 6Knowledge

    The person left, the context left

    With Kentor: What the company knows lives in Brain, linked to the source

The company's workflows

The workflows of a software company.

Support answers the same question from scratch, every day.

What already has an answer, answered on the spot.

The agent reads the ticket, looks up the answer in what the company has already written and responds. Bugs and exceptions go to the team with the summary, the steps and the affected customer.

  1. Reads the ticket and the customer's history
  2. Answers from the base, or passes it on with the summary
  3. Logs what was done
  • Setup question solved on the spot
  • Ticket reaches the team ready to act on
  • Every answer with the source

By role

What changes for each person at the company.

  • If you are

    Founder or CEO

    You stop being the company's "context." What you know about each customer and each decision lives in Brain, and anyone or any AI on the team consults it with permission.

    How Kentor does it: Kentor Brain and Kentor OS

  • If you are

    Head of CS or support

    Fewer repeated tickets, implementation with the same start for every customer and the at-risk account flagged before renewal.

    How Kentor does it: Kentor Bot

  • If you are

    Head of product or engineering

    The team stops being interrupted to explain how the feature works. What arrives from support already comes with the summary and the steps.

    How Kentor does it: Kentor Brain and Kentor Bot

The company's agents

Agents that already know your product.

Each one reads the same context in Kentor Brain, works in your Slack, CRM and support, and asks for your OK before what matters.

Answers the question that already has an answer and hands over the rest with the summary, the steps and the affected customer.

How Kentor comes in

First understand. Then automate.

  1. 01

    Understand

    We map how the area really works, with AI interviews, and point out where AI pays back most.

    Kentor OS
  2. 02

    Organize

    We connect the systems and bring together what the company knows, with rules on who sees what.

    Kentor Brain
  3. 03

    Automate

    We put agents on the routines that weigh most. They act in the team's tools and ask for approval when it matters.

    Kentor Bot
  4. 04

    Track

    We stay on until the routine sticks: adjustments, training by area and tracking of what changed.

    Implementation and Training

Connections

Inside the tools the team already uses.

Kentor works with what you already have, with the permissions you grant.

  • Jira
  • Notion
  • Slack
  • Intercom
  • Zendesk
  • HubSpot
  • Salesforce
  • Stripe
  • Google Drive
  • Microsoft Teams
  • Claude
  • ChatGPT
  • WhatsApp
  • Gmail
  • Google Calendar
  • Google Sheets
  • Outlook
  • Pipedrive
  • Omie
  • Excel
  • Google Docs
  • Google Meet
  • Instagram
  • Facebook
  • LinkedIn
  • Zoom
  • ClickUp
  • Trello
  • Asana
  • Monday
  • OneDrive
  • SharePoint
  • Dropbox
  • Canva
  • Figma
  • Google Ads
  • Google Analytics
  • Mailchimp
  • Calendly
  • Typeform
  • Airtable
  • QuickBooks
  • Fathom
  • Fireflies
  • Granola
  • tl;dv

Frequently asked questions.

We already use ChatGPT or Claude. Why Brain?

Because AI alone doesn't know how your product works, who the customer is or what they can see. Brain connects the systems and delivers that context to the AI you already use, with the asker's permission. And you can switch models without losing anything.

Do my code and customer data get used to train models?

Each connection is enabled by team, and only whoever already saw it in the source system sees it in Brain. Data handling follows LGPD.

Do I need to switch help desks?

No. The agent works in the Zendesk, Intercom or WhatsApp you already use.

Does the agent answer bugs for the customer?

It answers what has a written answer. Bugs, exceptions and any promise of a deadline go to the team, with the summary ready, and nothing goes out without someone's OK when you set it up that way.

Where does it start?

With Kentor OS we map how support and CS really work, connect the sources to Brain and put the first agent on the ticket that repeats most. We give you the timeline in the first conversation.

Give your AI your company's context.

We connect your sources and show where agents give the most time back to support and CS.