Q2A
Business

Business

Different questions call for different answers. Calendar sync, NPO back-office operations, AI adoption in companies — the domains differ, but the root is the same: turn field friction into working systems. Each of Q2A's businesses is a distinct answer to a distinct question.

Workspace Productivity

2Calendars

Real-time sync for Google Calendars

Mirrors events between your Google Calendars in real time — automatically and privately, without sharing details. Built for people who manage separate work, client, family, and personal calendars.

2calendars.app
  • Keeps availability consistent without merging calendars into one account
  • Creates and updates mirrored events as source events change
  • Supports one-way and two-way synchronization
  • Choose your source and destination calendars freely
2Calendars — Real-time sync for Google Calendars
Social Good

NPO Navi

Back-office suite for NPOs

A back-office suite for non-profit organizations, aligned with Japanese legal and administrative operations — members, donations, documents, and annual-report support in one place. Built so small teams can keep operations running.

nponavi.jp
  • Unified management of members, donations, and documents
  • Support for recurring work such as annual reports
  • Designed around Japanese NPO frameworks
NPO Navi — Back-office suite for NPOs
AI Enablement

AI adoption for schools

AI adoption for schools and cram schools

We help schools reach a state where generative AI can be used safely: private GPT environments that meet information security requirements, training for faculty, and courseware for the classroom — including the usage rules needed when students are the end users.

  • Private GPT environments meeting information security requirements
  • Generative AI training and support for teaching staff
  • Courseware for classes and curricula (HTML/CSS/JS, block programming)
  • Usage rules designed for student-facing deployment
AI adoption for schools — AI adoption for schools and cram schools
AI Enablement

Generative AI Enablement

From first training to everyday use

We help organizations make generative AI stick: training to build a shared baseline, workshops to surface use cases from actual work, and usage guidelines that make it safe to adopt. Not a tool demo — we stay until teams can use it on their own.

  • Foundational training and hands-on sessions (online or on-site)
  • Use-case discovery workshops, scored by impact and feasibility
  • Generative AI usage guidelines, adapted from public-sector baselines
  • Ongoing support for company-wide task forces (roadmap and operating model)
Generative AI Enablement — From first training to everyday use
How we work

How we work

We don't start big. We begin by understanding where you are, then move in stages.

  1. 01

    Understand where you are

    We start by hearing what is actually difficult and how far your team has already experimented. You do not need a tool or a budget decided at this point.

  2. 02

    Build a shared baseline

    Foundational sessions and hands-on practice bring participants to a common starting point, even when experience levels vary widely.

  3. 03

    Surface use cases from real work

    Workshops draw out use cases grounded in actual operations. We then score them on business impact and feasibility to decide what to tackle first.

  4. 04

    Make it safe to use

    We develop usage guidelines that draw explicit lines about what information may go into which services, adapted from published public-sector baselines.

  5. 05

    Stay until it sticks

    We don't stop at delivery. We continue supporting the rollout until the practice is genuinely in use, answering questions as they come up.

Track record

Track record

Client names are withheld; engagements are described by industry, scale, and scope of work.

  • Manufacturing (nonwoven fabrics)

    approx. 290 employees

    AI fundamentals session, use-case workshops, and usage guideline development

    Ran foundational sessions to raise AI literacy company-wide, followed by workshops that surfaced use cases grounded in each department's actual work. We also supported the drafting of internal generative AI usage guidelines, adapted from published public-sector baselines.

  • Real estate services

    company-wide task force

    Support for a company-wide generative AI task force

    Ongoing support for a cross-functional task force: onboarding training, use-case discovery, prototype trials, roadmap development, and a first draft of internal guidelines.

  • Data research for pharma and healthcare

    approx. 20 employees

    AI study sessions, hands-on workshops, and topic-specific follow-ups

    For highly specialized research work, we established the fundamentals through study sessions and hands-on practice, then held recurring consultations on specific work themes to find approaches that fit their actual workflow.

  • Education (junior and senior high school)

    school-wide deployment

    Private GPT environment meeting information security requirements

    Built and delivered a private GPT environment so that students and faculty could use generative AI safely within the school, meeting the institution's information security requirements.

FAQ

FAQ

What size of organization do you work with?
Mostly companies from a few dozen to several hundred employees. We scale the engagement to fit — from building a company-wide program to a small pilot within a single team.
Can we talk to you before adopting any generative AI tools?
Yes. Engagements often start with a foundational session, after which we work through where AI could fit in your actual operations. There is no need to have chosen a tool beforehand.
Are you a reseller for a particular AI product?
No. We do not resell tools. We evaluate options neutrally against your requirements and compare several services where that is useful.
Can we engage you for only part of this — just training, or just guidelines?
Yes. Training, workshops, and guideline development can each be engaged on their own. If it is not yet clear where to start, we can begin by working that out with you.
We are concerned about putting internal information into external AI services.
Guideline work includes drawing explicit lines about what information may go into which services. We have also built a private GPT environment that keeps usage entirely within a school's own network.
Do you work online or on-site?
Both. A common pattern is foundational sessions online, with cross-functional workshops held on-site.