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Français
PortuguêsUSE CASE 01
Customer support
Understand requests, retrieve the right record and draft a contextual answer.
In real work
An agent that works inside your tools
Automation follows a defined path. An agent uses context to choose between authorised actions, then prepares or executes the action at the agreed level of control.
Use cases
Use cases
A useful first release, then improvements guided by real usage.
USE CASE 02
Document analysis
Extract, compare and check contracts, files or tenders.
USE CASE 03
Internal assistant
Answer from company procedures and act in CRM or ERP.
USE CASE 04
Quote preparation
Turn notes, photos and customer data into a structured proposal.
Workflow
A simple path from problem to production
01→
Request received
02→
Context retrieved
03→
Rules checked
04→
Action prepared
05
Approval or execution
Deliverables
What NDLZ builds
Connected to your tools
Internal assistants01
Support agents02
Request qualification03
Multi-source search04
CRM / ERP actions05
Approval workflows06
Control and security
Autonomy is designed, not assumed.
Actions can be logged, role-limited and submitted for approval. For sensitive decisions, the agent prepares and a person approves.
NDLZ / CONTROLControlled system
CHECK 01
Limited access
CHECK 02
Activity logs
CHECK 03
Monitoring
CHECK 04
For sensitive decisions, the system prepares the action and a person approves it.
NDLZ
Have a problem your current software cannot solve?
Show us the process, tools and expected outcome. We will tell you honestly what is worth building.
FAQ
Frequently asked questions
Can an agent make mistakes?+
Yes. We define authorised sources, controls, confidence thresholds and the stages that require human approval.
Do we have to move our data?+
Not necessarily. The architecture follows your constraints and only useful data is shared with models.
Can it act in our software?+
Yes, when reliable APIs or integrations exist. Permissions are limited to necessary actions.