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Your team’s shared memory

Your company already knows the answer.
Find it.

Stop repeating the same searches. Find context across your documents, conversations and business tools. Reuse answers your team has confirmed, with their sources and the people who validated them.

In development
Join the waitlistSee an example

One confirmation, then an email when early access opens. No newsletter.

Our assistant

In development

One question. The right context. An answer worth keeping.

The same question comes up again. Context is scattered across several tools. A confirmed answer could help the next person who needs it. Here’s an example of a client commitment.

For SMEs and startups worldwide.

Fictional example · planned workflow

An answer found. A team that builds on it.

  1. Find the client commitment

    Recurring question
    What did we agree with this client for the launch?

    Sources consulted

    • Shared document · launch plan
    • Slack · conversation with the client team
    • HubSpot · client record

  2. Confirm and keep

    Saved answer
    A two-stage launch: project team access first, then company-wide access after the client lead approves.
    • Confirmed by Alex · October 8, 2026
    • Also confirmed by Sam · October 8, 2026

    The answer is kept with its sources, confirmations and confirmation dates.

  3. Reuse across the team

    Later, Maya asks the same question
    What did we agree with this client for the launch?
    The confirmed answer is found
    A two-stage launch: project team access first, then company-wide access after the client lead approves.
    • Confirmed by Alex · October 8, 2026
    • Also confirmed by Sam · October 8, 2026

    Sources kept with the answer: launch plan, Slack conversation and HubSpot record.

Planned integrations

Microsoft 365 · Google Workspace · Slack · HubSpot · read-only databases

Planned integrations, data access and versions

Integrations will be introduced gradually.

Read-only access to business sources is planned. Reuse must respect current access rights; confirming an answer does not widen its audience.

Meeting content would come from your connected tools. An optional open-source capture tool is being considered for a later release.

Release roadmap

First planned release

International version

A hosted assistant for teams worldwide. Claude is the planned model for this version.

Later on the roadmap

Regional version

Hosted storage and processing in defined territories. Mistral is planned for the European option; supported territories will be specified before release.

Installation in a client’s environment is a separate custom project.

Before you join

Can I use QAIZEN today?

The assistant is in development. Join the waitlist to hear when early access opens.

Is this just a note-taking tool?

The goal goes beyond meetings: find context across documents, conversations and business tools, then keep confirmed answers in a shared memory.

Who can see saved answers?

The design calls for each person’s current access rights to apply. Confirming an answer must not expose its information to unauthorized people.

What if information changes?

A confirmed answer can become outdated. If its information or sources change, it needs to be checked and confirmed again before reuse.

Join the waitlist

In development

Discover QAIZEN.

Confirmed answers your team can reuse. Join the waitlist to hear when early access to QAIZEN opens.

One confirmation, then an email when early access opens. No newsletter.

Privacy and deleting your data

Custom AI agents

These examples show our experience building agents: a specific task and written boundaries.

Demos designed and tested by QAIZEN using fictional scenarios.

330 published agent runs, 300 of them recorded with Claude Opus 5.5, Claude Sonnet 5.5.

  • Tested · 30 published runs

    A customer asks for a refund

    An agent proposes a refund. Above its limit, a person decides.Watch the recorded run →
  • Tested · 60 published runs

    A ticket reaches for another customer’s data

    An order note carries a planted instruction. See what each model attempts and what the controls block.Watch the recorded run →
  • Tested · 120 published runs

    Another partner’s account

    A reseller asks about another partner's account. Watch the lookup meet its account boundary.Watch the recorded run →
  • Tested · 120 published runs

    A commission exception

    An agent proposes a commission exception. Above the programme's limit, a channel manager decides.Watch the recorded run →
Discuss your custom agentAll recorded runs

Custom AI services

Scope and integration for your project. Installation in your own environment is handled as a custom engagement.

Scope

Define the job, data access, approval rules and acceptance tests before integration.

Already have a pilot that stalls before production? We start from it.

Readiness Review · 2 weeks · USD 5,000–15,000, excl. taxes

See the Readiness Review

Integrate

We design and integrate the agent into your existing tools. Before launch, we test its limits, including attempts to bypass them.

See the delivery approach
AI-POWERED TOOLS

QAIZEN Labs

Built by engineers. Free to try.

Live on this site
5 min

Shadow AI Audit

Know your AI governance gaps before regulators do

Governance Score3.2/5
Visibility
Governance
Data
Compliance
Response
  • 5-dimension governance scoring
  • Your top governance gaps, from your own answers
  • Compliance roadmap for EU AI Act
5
Dimensions
40+
Data Points
3
Scenarios
Analysis: GPT-6 LunaRoadmap: GPT-6 SolAdvisor chat: Claude Sonnet 5.5Fallback: Grok 4.7, Claude Sonnet 5, Claude Haiku 4.58 knowledge files in the promptsIBM 2025, EU AI Act
Start Audit - Free
Live on this site
2 min

ROI & Cost of Delay

What a stalled pilot costs each month, or what a planned project could return, from your own figures

Example ranking#1
Meeting Summarizer$32,032
FAQ Chatbot$11,211
Code Assistant$32,673

Example: a 10-person tech team in the EU, experimenting with AI, at $55 an hour, with overwhelmed customer support and a balanced priority. Ranked by the calculator's quick-win score (savings, speed to value and ease), not by savings alone; the bars show yearly savings once running in the expected scenario, in US dollars, as the calculator computes them from QAIZEN assumptions.

  • Pick up to 3 of 11 use cases, ranked by a quick-win score combining savings, speed to value and ease
  • Estimates with every assumption shown
  • Action plan with prerequisites
11
Use Cases
3
Scenarios
Analysis: GPT-6 SolAdvisor chat: Claude Sonnet 5.5Fallback: Grok 4.7, Claude Sonnet 5, Claude Sonnet 4.6Quick-win score (savings × speed to value × ease)Transparent formula: your answers × QAIZEN assumptionsNoy & Zhang 2023, Dell'Acqua et al. 2026, Gartner 2025
Open the calculators
No pilot yet? Find your first AI use case
Built With
Anthropic
OpenAI
OpenRouter
Vercel
Next.js 16
TypeScript

The QAIZEN method

A clear need, a defined workflow and concrete checks.

01

Scope

Identify the need, relevant sources and access constraints.

02

Design

Define the workflow, required confirmations and success criteria.

03

Preparation

Organize the data and the implementation steps.

04

Validation

Test the workflows, document limitations and prepare follow-up.

Tell us
what you need

Tell us about your custom AI project.

What is your request about?

Your details are used only to reply to this request. We reply within 24 business hours.

or

Write us directly: contact@qaizen.io

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