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AI & DATA / AI IMPLEMENTATION

Production AI systems

Useful AI.
Part of everyday work.

Turn validated technology into a usable system, including interfaces, permissions, integrations, records and monitoring.

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Concept visual of data paths converging on a blue core
FOR
Companies ready to put a defined AI approach into operation
PHASE
Implementation
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 requirements and acceptance
  2. 02Design and implementation
  3. 03Test real operational scenarios
  4. 04Rollout and operational handover

01 SCOPE & DELIVERABLES

What this engagement delivers.

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

01

Requirements and system design

02

Business interfaces, AI functionality and integrations

03

Test results and rollout procedures

04

Operating documentation

If available,
bring these to the conversation.

  • Adoption strategy or PoC findings
  • Existing system integration constraints
  • User volumes and information-management requirements

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

02 PROJECT FLOW

A visible path to delivery.

  1. 01

    Agree on requirements and acceptance

  2. 02

    Design and implementation

  3. 03

    Test real operational scenarios

  4. 04

    Rollout and operational handover

Decision point

Confirm acceptance criteria before rollout, then separately define maintenance and improvement scope.

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

05 NEXT STEP

Explore what comes next.

DATA PLATFORM

Data platforms and analytics

Design collection, integration and visualization with Snowflake or Google Cloud, moving from individual reporting tasks to shared data capabilities.

AI and data analytics services