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AI & DATA / PROOF OF CONCEPT

AI proof of concept

Validate first.
Invest with evidence.

Prototype and evaluate with a defined workflow and dataset. Assess quality, processing time and operational effort to inform production investment.

Concept visual of data paths converging on a blue core
FOR
Companies validating AI before production investment
PHASE
PoC
ESTIMATE
Proposed individually after confirming scope
PARTNERSHIP

Snowflake partner

Snowflake
TECHNOLOGY

Google Cloud

BigQueryCloud RunCloud SQL

FROM WORKFLOW TO DELIVERABLES

How we work ↗
  1. 01Agree on the validation scope
  2. 02Prepare the prototype and data
  3. 03Evaluate quality and usability
  4. 04Report results and next-step options

01 SCOPE & DELIVERABLES

What this engagement delivers.

Use the following as a starting point to agree on deliverables for your workflow and requirements.

01

Validation plan and evaluation criteria

02

A scoped prototype

03

Results and limitations

04

Production issues and preliminary estimate considerations

If available,
bring these to the conversation.

  • Sample data for validation
  • Expected outputs and reference answers
  • Business users who will evaluate the result

Incomplete documentation is fine. Start by describing your current situation.

02 PROJECT FLOW

A visible path to delivery.

  1. 01

    Agree on the validation scope

  2. 02

    Prepare the prototype and data

  3. 03

    Evaluate quality and usability

  4. 04

    Report results and next-step options

Decision point

Use the results to choose production, further validation or stopping. Completing the PoC does not automatically initiate development.

03 ENGAGEMENT

Define the scope before starting.

Cost, timing and terms are proposed after confirming scope and the team required.

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.

04 QUESTIONS

Start with your questions.

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