Agent Platform

AI as the architecture your organization builds the future on

We deliver agentic AI on Dify - one of the world's leading open source platforms for AI agents. Start on Neurosys Workflows (our hosted instance) and move to your own cloud or on-prem when you're ready.

Dify workflow canvas showing agent platform orchestration
Built on
138k+ GitHub stars
10,000+ Commits
~20 / day Active development

Who it's for

One platform, three roles working together

AI lands in the business when leadership, IT and operations stop working on it in parallel - and start working on it together.

Leadership

A clear direction for AI

You need to know where AI fits in the strategy, what it costs, what it changes, and how to scale it without losing control.

IT and architects

Governance, integration and control

You need a foundation with proper access control, audit trails, and the depth to integrate with the systems already running the business.

Operations and product teams

AI in the work, not on the side

You need agents that take part in real workflows - drafting, deciding, escalating - so the team gets time back instead of more dashboards.

How it works

How it works, step by step

A practical path from fragmented AI ideas to an operational platform.

01

Connect systems and knowledge

Link the work environment to ERP, CRM, documents, APIs, and other core data sources so agents operate with the right context.

02

Orchestrate workflows and agents

Build AI-driven processes that can reason, act, call tools, coordinate multiple steps, and hand off across teams or systems.

03

Keep humans where judgment matters

Add approval points, role-based controls, and clear escalation paths so AI supports operations without losing accountability.

04

Monitor, govern, and scale

Track usage, outcomes, drift, and quality over time so the platform becomes a continuously improving operational layer.

Dify observability dashboard with usage and performance graphs

Why this model works

Dify provides the foundation. NeuroSYS makes it work in practice.

Dify gives the core platform. NeuroSYS helps you connect it to real workflows, systems, and governance - so you can move from pilots to production without rebuilding the foundation for every new use case.

Read the Dify partnership story →
Workflow strategy planning on a whiteboard

Enterprise-grade

Built for production, security and scale

Dify is designed for organizations that need AI to run reliably across teams - with the deployment options, access control and governance enterprises require.

Flexible deployment

On-premises, private cloud or our hosted Neurosys Workflows - move between them as your needs change.

Access and identity

SSO, multi-tenant access control, role-based permissions and two-step verification built in.

Data security

End-to-end encrypted transmission, strict data access control and full audit trails for every action.

High availability

Production-grade reliability with the infrastructure to handle organization-wide rollout.

Seamless integration

Connects with the systems already running the business - ERP, CRM, identity, knowledge bases and APIs.

Compliance and privacy

Privacy protection and data governance built in - so AI scales without becoming a compliance risk.

Implementation

How you get started

  1. 1 2-3 workdays

    Setup and configuration of Dify

    • Access to Neurosys Workflows or your own instance is set up
    • Domain and access configured
    • API keys to LLM models and systems
  2. 2 1-2 workdays

    Training and user onboarding

    • Introduction to platform and methodology
    • How to build and adjust your own workflows
    • Best practice for using AI in your organization
  3. 3 Hours to days per use case

    Building and scaling workflows

    • Start with one concrete workflow
    • Iterate and adjust based on needs
    • Scale to more processes and areas

From decision to first workflow in production in 1-2 weeks

Low risk Fast learning Clear progress

Want to see what this looks like in your organization?

We can map the workflows, systems, and governance needs that matter first, then define what the right platform architecture should be.

Mikkel Selente
Mikkel Selente
CEO & Tech advisor
Book a meeting →