From idea to production

AI in the product, without a dedicated AI infrastructure

We design, integrate and scale AI solutions together with the product team. Nalune provides the process layer, the product keeps the user relationship and data sovereignty.

FIG_02CLIENT UICUSTOMER APPNALUNE ENGINEINFRASTRUCTURE

API

the interface first, the surface second

EU

Hosting, private cloud or on-premise

GDPR

Data protection considered from day one

Audit

Every process step traceable

Overview

AI inside the existing product

Nalune provides the AI process layer. The user relationship, data sovereignty and domain context stay where they belong: with the product.

API first

Clear interfaces for product teams, backends and existing line-of-business systems. Whatever Nalune does is callable before there is a screen for it.

Connecting existing systems

Nalune connects to what already runs: line-of-business systems, identity providers, existing data. No parallel system appears alongside it.

Multi tenant

Tenant separation, user context and permissions are part of the architecture, not a configuration added later.

Nalune as the process layer between product teams, line-of-business systems and operating models
Product APIsPrivate cloudSSOGDPR
Product APIsPrivate cloudSSOGDPR
Product APIsPrivate cloudSSOGDPR
Product APIsPrivate cloudSSOGDPR
Business systemsOn-premiseAudit logsProcesses
Business systemsOn-premiseAudit logsProcesses
Business systemsOn-premiseAudit logsProcesses
Business systemsOn-premiseAudit logsProcesses
EU hostingTenantsWebhooksConnectors
EU hostingTenantsWebhooksConnectors
EU hostingTenantsWebhooksConnectors
EU hostingTenantsWebhooksConnectors

Auditable

Operations, decisions and process steps remain traceable, including tenant and user context.

GDPR-compliant

Data protection and data residency are considered from the start instead of being checked shortly before go-live.

Data sovereignty

Operating models range from EU hosting to private cloud and on-premise. The location of the data remains a free choice.

Working together

Together from the idea into production

An integration is never our work alone. Across the three stages the weight deliberately shifts towards the product team, until it can keep building without us.

01

Architecture

We clarify systems, data flows, roles, tenants and target processes before the first line of code is written.

What we do

Architecture model, interface cut and an assessment of the operating models from EU hosting to on-premise.

What the product team does

Access to domain knowledge, the existing system landscape and the requirements from data protection and security.

02

Integration

We connect Nalune to the product, line-of-business system or backend and define the workflow that later runs in production.

What we do

Connection through the API, process definition, tenant separation and logging of every step.

What the product team does

Embedding into the product interface, sign-off on the workflows and the calls on how the domain is cut.

03

Rollout

Pilot, compliance handover and operating model are secured together, including everything that comes after.

What we do

Pilot support, documentation, patterns and, on request, running the thing.

What the product team does

Rollout to end users, day-to-day operation and building further on the patterns handed over.

Answered briefly

What to settle before an integration

01Do we have to build our own AI infrastructure?

No.

Nalune provides the process layer, connected through the API. Operating models range from EU hosting to private cloud and on-premise.

02How does Nalune fit into our existing system landscape?

Through existing interfaces.

It connects to existing line-of-business systems, identity providers and data sources via API, webhooks and SSO. No second system appears alongside it.

03How do we prove what the system decided?

Through a log per operation.

Operations, decisions and process steps are logged and stay auditable, each with tenant and user context.

04Who operates the integration afterwards?

A free choice.

We can run it on request. Handing it to an in-house team works just as well: architecture, configuration and patterns are documented.

Want to integrate AI?

Together we look at which processes or product features are worth putting into production with Nalune.