By Helder Gonçalves, Chief Product Officer, Neptune Software
If there’s one theme dominating digital conversations in 2025, it’s AI. But not the vague, overhyped kind. I’m talking about practical, outcome-driven AI—intelligent capabilities embedded in business workflows, helping real people do real work better.
And yet, most enterprise AI efforts fall into one of two traps:
- They stay in the lab—never making it into production
- They become bolt-ons—disconnected from systems and too fragile to scale
At Neptune Software, our view is simple: AI must be part of your platform, not a project on the side.
That’s what our Applied Enterprise AI strategy is all about.
The Shift: From Task-Based to Goal-Oriented AI
In the early stages of enterprise AI, the focus was on automating small tasks—summarizing documents, answering tickets, suggesting next steps.
Now, we’re seeing the rise of goal-oriented AI assistants—tools that understand intent, interact with enterprise data, and help users accomplish more with less manual effort.
But that shift only works when AI is tightly integrated with your application stack, your data governance, and your user interfaces.
That’s where Neptune comes in.
Applied Enterprise AI: What It Means
For us, “applied” means:
- AI embedded into business apps—not running in a separate environment
- Assistants designed around user goals—not just predictive features
- AI that respects enterprise governance, roles, and compliance rules
In other words: relevant, secure, and scalable.
What You Can Build
With Neptune, enterprises are already building AI-powered tools like:
- Natural language dashboards for managers (“What were my top 5 product lines last quarter?”)
- Sales assistants that generate proposals based on SAP pricing and CRM data
- Field support tools that recommend resolutions using historical service records
And because everything runs on a shared low-code/pro-code environment, these tools are easier to maintain, govern, and extend.
Why Low-Code Matters for AI
You don’t need a team of data scientists to get started with AI.
With Neptune:
- Developers can add AI features to existing apps with minimal lift
- Business users can define AI interactions using visual workflows
- Everything runs securely within your enterprise infrastructure
It’s not about dumbing down the experience—it’s about removing friction between idea and impact.
Governing AI Without Slowing It Down
Let’s be honest: enterprise leaders are still wary of AI for good reason. The risks around data privacy, decision traceability, and LLM unpredictability are real.
That’s why Neptune includes:
- Built-in role-based access control for AI interactions
- Visibility into which prompts, data, and actions were triggered
- The ability to choose your LLM or bring your own model
We’re LLM-agnostic on purpose—because AI strategy should fit your business, not the other way around.
Clean Core as the Foundation for Smart Apps
One more thing: you can’t unlock the full value of enterprise AI if your SAP environment is weighed down by legacy customizations.
That’s why so many of our customers use Neptune to both enable Clean Core and prepare for applied AI in parallel. Because once your applications are decoupled, modernized, and API-first, embedding AI becomes a natural next step—not a painful pivot.
