Pientro
Services

From AI challenge to manageable operation.

The AI Operations Audit makes clear where AI can responsibly add value. Pientro then helps with the right next step: designing, controlling or embedding.

Route choice

  1. 01

    Diagnosis

    Where does the challenge sit?

  2. 02

    Design

    How should the process work?

  3. 03

    Control

    Who checks, approves and intervenes?

  4. 04

    Embed

    How does AI become part of systems and ways of working?

Starting point

00 / DIAGNOSIS

Starting point: AI Operations Audit

Before investing in architecture, governance or operationalisation, Pientro maps where AI can add value, which risks exist and which route is logical.

See the AI Operations Audit →

Recognition

Which route fits your situation?

  • Your process is not yet sharp enough

    Operational AI architecture is the natural next step.

  • Control and ownership are unclear

    Governance and oversight is the natural next step.

  • AI needs to fit into systems and ways of working

    Integration and operationalisation is the natural next step.

  • Not yet clear where the problem sits?

    Start with the AI Operations Audit.

Follow-up routes

AFTER THE AUDIT

Three routes to make AI manageable.

The three routes stand on their own. Which one fits follows from the findings of the audit — and sometimes more than one route is relevant.

  • ROUTE 01 · DESIGN

    Operational AI architecture

    See this service

    When relevant?

    When processes, data, decision points and release moments are not yet clear enough.

    Challenge, approach and outcome

    Challenge

    What does the process look like in which AI can reliably take part?

    Approach

    We map data flows, source systems, decision points and manual steps, and design where AI proposes, where people review and at which moments an outcome is formally released.

    Outcome

    A process design with clear decision points, release moments and data flows that build and governance can develop from.

  • ROUTE 02 · CONTROL

    Governance and oversight

    See this service

    When relevant?

    When ownership, control, human release and escalation are not yet properly assigned.

    Challenge, approach and outcome

    Challenge

    How does the organisation keep sight of what AI does, who owns the outcome and when to intervene or escalate?

    Approach

    We assign ownership per AI application, set up human release, anomaly signalling and audit trail, and document escalation paths that connect to existing controls.

    Outcome

    Demonstrable control over AI output, traceable decisions and clearly assigned responsibilities per application.

  • ROUTE 03 · EMBED

    Integration and operationalisation

    See this service

    When relevant?

    When AI needs to connect to source systems, ways of working, tasks and daily execution.

    Challenge, approach and outcome

    Challenge

    How does AI become part of existing applications, source data and the daily practice of the people doing the work?

    Approach

    We connect AI workflows to source systems and applications, and translate the outcome into concrete tasks, ways of working and responsibilities in the operation.

    Outcome

    AI as a fixed part of the workday, with output that is directly usable in existing systems and fits within agreed ways of working.

Contact

Discuss which route is logical for your AI challenge.

Unsure which route fits? A first conversation helps determine whether an audit, an architecture engagement, a governance set-up or operationalisation is the most logical step.

Discuss your AI challenge