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Start with the work you want to improve.

Discuss your project ↗

01 AI & DATA

AI and data analytics

Your data.
Your next decision.

AI should change how work gets done. One team supports discovery, focused validation, data foundations and operational rollout.

Concept visual of data paths converging on a blue core
FOR F / AI & DATACONCEPT VISUAL
PARTNERSHIP

Snowflake partner

Snowflake
TECHNOLOGY

Google Cloud

BigQueryCloud RunCloud SQL

FROM WORKFLOW TO DELIVERABLES

How we work ↗
  1. 01Discovery
  2. 02PoC
  3. 03Implementation
  4. 04Operations and improvement

01 OUR APPROACH

Start with the work you want to change.

Scattered data, repeated checks and decisions that depend on experience. We establish priorities from both the workflow and data perspectives.

  • You want to use generative AI but have not selected a workflow.
  • Data is scattered across spreadsheets and multiple systems.
  • You want evidence on quality, information controls and value before investing.
01

AI designed for the workflow

Scope use cases such as inquiry handling, document retrieval and extraction, including the points where people need to review the result.

02

Data ready for analysis

Use Snowflake or Google Cloud where appropriate to connect collection, integration, access and visualization.

03

From validation to operations

Evaluate not only prototype quality but operating cost and usability to inform the production decision.

03 HOW WE WORK

Move forward, one phase at a time.

Use what you learn to inform the next decision. You can join at the phase you need.

  1. 01

    Discovery

    Define workflows and priorities

  2. 02

    PoC

    Evaluate value, quality and feasibility

  3. 03

    Implementation

    Connect to existing operations

  4. 04

    Operations and improvement

    Improve based on usage

Cost and timing depend on scope, the existing environment and required deliverables.

Choose your starting point

DESIGN / VALIDATE / OPERATE

Evaluate the workflow, not only the model.

A good model response is only one part of delivery. Access, source updates and reviewer effort determine whether it fits the workflow. Separate data, decisions and actions, including the outputs that need human approval.

01 / REVIEW

Evaluate representative and exceptional cases separately from the data used during development.

02 / REVIEW

Make it possible to trace answers and metrics to source records and their update state.

03 / REVIEW

Define handling for incorrect answers, unauthorized retrieval and failed operations, with a manual fallback.

04 START A PROJECT

A clearly defined first step.

A CLEAR FIRST STEP

The scope you need.
An informed decision to start.

Tell us about your objectives and current situation.
We will propose a clear scope, deliverables and approach.

Discuss scope and estimates
  1. 01

    Contact

    Start with your current situation and challenges, even before requirements are defined.

  2. 02

    Review scope, deliverables and estimates

    Review work, cost, timing and exclusions. Additional work is discussed before it begins.

  3. 03

    Start with the agreed phase

    Confirm the terms before starting. Subsequent phases depend on results and business needs.

05 QUESTIONS

Before we talk.

Q.Can we commission only a PoC?

Yes. We agree on the validation scope, evaluation method and deliverables. The production decision can follow the results.

Q.Can we start if our data is not organized?

We first review data locations and formats. If preparation is needed, we propose that scope separately from AI development.

Q.Do we need both Snowflake and Google Cloud?

No. We assess the existing environment, volumes, access needs and operating structure to choose an appropriate architecture.

Questions about engagement and estimates

FIND YOUR AI OPPORTUNITY

Where should you start with AI?

Use your company website and workflow answers to explore opportunities and prepare a consultation. View your results immediately.

Explore AI opportunities ↗

AI CONSULTATION / YOUR NEXT STEP

AI consultations available. Start where you are.

Clarify where to start

Free discovery interview ↗

For executives and AI project owners. Discuss your challenges without preparing documents. Japanese-language page.

Test feasibility with your data

AI implementation & PoC ↗

Define the workflow, data and evaluation criteria, then move from a focused test to development. Japanese-language page.