01
Standalone AI solution next to the operation.
AI runs in its own environment and as a result changes nothing about daily work.
Route 03 · Embed — Integration and operationalisation
How does AI become part of daily work?
Many AI initiatives get stuck between pilot and practice. Pientro connects AI workflows to source systems and applications and translates the outcome into concrete tasks, ways of working and responsibilities in the operation. AI is no longer a standalone solution, but a fixed part of daily execution.
Conversation
A substantive conversation with a senior practitioner about your operational AI challenge.
Discuss your AI challengeSignals
When does this become relevant?
- 01
A pilot needs to move to the operation.
- 02
AI must work within existing systems and applications.
- 03
Ways of working around AI need to be defined.
- 04
Teams need to know what they do and when.
- 05
Output must be directly usable in daily work.
- 06
AI results must be transferable between people and roles.
Friction
What usually goes wrong?
02
No connection to source systems.
Output has to be transferred by hand and becomes disconnected from existing applications.
03
Unclear responsibilities.
No one knows when they should act on, check or forward an AI outcome.
04
No adoption in the operation.
The team does not use AI structurally because it does not fit the existing ways of working.
Approach
What does Pientro do?
Pientro connects AI workflows with the systems, applications and sources that are already in place and translates the outcome into concrete tasks, ways of working and responsibilities inside the operation. The handover to the team is set up explicitly, so AI becomes a repeatable part of the work and does not get stuck at the pilot stage.
- Connection to source systems
- Coupling with applications
- Translation into tasks
- Ways of working
- Responsibilities
- Operational handover
Outcome
What does this deliver?
You receive working AI workflows connected to source systems and applications, with tasks, ways of working and responsibilities that fit daily execution. AI becomes a transferable, structural part of the operation.
01
Working AI workflows
02
Process integration
03
Operational adoption
04
Transferability
05
Structural use
06
Defined ways of working
Engagement
How does the engagement run?
- 01
Inventory
- 02
Integration design
- 03
Process alignment
- 04
Implementation
- 05
Embedding
Practice
Common situations
- Intake processes
- Order processing
- Knowledge management
- Reporting
- Document flows
- Customer communication
Related services
Other routes within the Pientro approach.
Operational AI architecture
How should the process look before AI can take part?
Designing data flows, decision points, roles and release moments where AI fits in a controlled way.
Read moreGovernance and oversight
How do you keep control over AI output?
Setting up ownership, release, monitoring, audit trail and escalation around AI workflows.
Read moreContact
Move AI from pilot to daily operation.
Discuss with Pientro how AI workflows connect to your source systems, applications, ways of working and the people doing the work.