We build the foundation for enterprise AI.

From strategy to execution, we help organizations design, structure, and automate the work that AI still can’t figure out on its own.

Context Design Map how your organization actually works — decisions, rules, responsibilities — into a structured model that people and AI can act on.
AI Agents & Workspace We build custom agents grounded in your organizational context, and provide a collaborative workspace where your teams work alongside AI.
Strategy & Enablement From AI readiness to hands-on implementation. We help you define the path, build the capability, and move from ambition to execution.
Nodyn Platform · Coming soon The operating system for how your organization actually works.
30+ Years experience
in IT & Innovation

Organizational complexity
kills productivity

Meetings. Emails. Manual processes.
Your company spends more time managing work than actually doing it.

85% of work time is spent in meetings, calls, and email

— HBR, "Collaborative Overload"

74% of executives say their operating model constrains growth and performance

— Accenture, "Rethinking Operating Models"

AI could solve this and boost productivity.
Except: AI is trained on almost everything, but not on how your organization works.

80% of AI projects never reach production

— RAND Corporation, 2024

3/5 root causes of AI failure are directly linked to missing organizational context

— RAND Corporation, 2024

If you can't explain how your organization really works,
AI will not be able to automate it.

Not because the work is too complex — but because the logic behind decisions, handovers, and exceptions was never made explicit.

Your organization is too complex for out-of-the-box software.
We build AI agents that get it.

We build agents that combine data from different sources, follow your rules, and work together to run complete processes — from intake to approval. Grounded in how your organization actually operates.

Procurement

Supplier Qualification

Reads certificates, contracts, and compliance documents. Scores each supplier against your criteria and routes the dossier for approval.

In practice An insurer qualifies new repair networks by checking certifications, coverage areas, and claims history — automatically.
Sales / Operations

Order Processing

Interprets purchase orders from email, Excel, EDI, or WhatsApp. Converts them into standardized entries in the ERP — no manual re-keying.

In practice A logistics firm processes 200+ daily booking requests across email, PDF, and portal — each routed to the right warehouse within seconds.
Compliance

Client Acceptance (KYC)

Collects identity documents, verifies them against external registries, assesses risk profiles, and routes the dossier to the right reviewer.

In practice A financial institution runs UBO checks, sanctions screening, and PEP verification before onboarding any new corporate client.
Sales

Quote Assembly

Builds quotes from client specs, pricing rules, and inventory. Applies discounts, checks margins, and generates the document — in minutes, not days.

In practice An insurance broker assembles renewal quotes by pulling loss ratios, applying rate tables, and flagging subjectivities — all before the underwriter opens the file.
Risk & Compliance

Mandate & Limit Control

Validates every transaction or approval against internal mandates in real time. Flags breaches and escalates before they become incidents.

In practice A bank checks every payment against signing authority limits, sanctions lists, and exposure caps — blocking non-compliant transactions instantly.
IT / Operations

Data Migration & Harmonization

Translates data between systems with different schemas — product codes, client records, pricing structures — without building custom integrations.

In practice A healthcare provider migrates patient records from three legacy systems into one new platform, mapping different coding standards automatically.
Procurement

Supplier Qualification

Reads certificates, contracts, and compliance documents. Scores each supplier against your criteria and routes the dossier for approval.

In practice An insurer qualifies new repair networks by checking certifications, coverage areas, and claims history — automatically.
Sales / Operations

Order Processing

Interprets purchase orders from email, Excel, EDI, or WhatsApp. Converts them into standardized entries in the ERP — no manual re-keying.

In practice A logistics firm processes 200+ daily booking requests across email, PDF, and portal — each routed to the right warehouse within seconds.
Compliance

Client Acceptance (KYC)

Collects identity documents, verifies them against external registries, assesses risk profiles, and routes the dossier to the right reviewer.

In practice A financial institution runs UBO checks, sanctions screening, and PEP verification before onboarding any new corporate client.
Sales

Quote Assembly

Builds quotes from client specs, pricing rules, and inventory. Applies discounts, checks margins, and generates the document — in minutes, not days.

In practice An insurance broker assembles renewal quotes by pulling loss ratios, applying rate tables, and flagging subjectivities — all before the underwriter opens the file.
Risk & Compliance

Mandate & Limit Control

Validates every transaction or approval against internal mandates in real time. Flags breaches and escalates before they become incidents.

In practice A bank checks every payment against signing authority limits, sanctions lists, and exposure caps — blocking non-compliant transactions instantly.
IT / Operations

Data Migration & Harmonization

Translates data between systems with different schemas — product codes, client records, pricing structures — without building custom integrations.

In practice A healthcare provider migrates patient records from three legacy systems into one new platform, mapping different coding standards automatically.
Operations

Client Onboarding

Orchestrates onboarding across departments — collecting documents, provisioning access, tracking deadlines, and escalating when things stall.

In practice A professional services firm onboards new clients across Legal, Finance, and Ops — the agent tracks every step and reminds the right person when something is overdue.
Operations / Compliance

Policy Advisor

Answers employee questions about internal procedures and policies. Contextually, always based on the latest approved version.

In practice A retail chain's 500+ store managers ask questions about return policies, HR procedures, and safety protocols — and get answers grounded in the actual handbook, not a best guess.
Finance

Invoice Processing

Matches invoices against purchase orders, flags price discrepancies, and books approved invoices automatically into the general ledger.

In practice A manufacturer's AP team processes 3,000 invoices per month — the agent matches line items, catches duplicate charges, and posts within tolerance automatically.
Legal / Procurement

Contract Management

Monitors contract terms and expiration dates. Flags when renewal conditions deviate from current policy or when deadlines approach.

In practice An insurer tracks 1,200 broker agreements — the agent detects when commission terms in a renewal slip differ from the master contract.
Customer Service

Customer Issue Resolution

Handles inquiries end-to-end — not just answering questions, but accessing backend systems to actually resolve issues like corrections, refunds, or rescheduling.

In practice A logistics company resolves delivery complaints by checking the TMS, identifying the delay cause, and proactively offering a new delivery slot — without human intervention.
Operations

Client Onboarding

Orchestrates onboarding across departments — collecting documents, provisioning access, tracking deadlines, and escalating when things stall.

In practice A professional services firm onboards new clients across Legal, Finance, and Ops — the agent tracks every step and reminds the right person when something is overdue.
Operations / Compliance

Policy Advisor

Answers employee questions about internal procedures and policies. Contextually, always based on the latest approved version.

In practice A retail chain's 500+ store managers ask questions about return policies, HR procedures, and safety protocols — and get answers grounded in the actual handbook, not a best guess.
Finance

Invoice Processing

Matches invoices against purchase orders, flags price discrepancies, and books approved invoices automatically into the general ledger.

In practice A manufacturer's AP team processes 3,000 invoices per month — the agent matches line items, catches duplicate charges, and posts within tolerance automatically.
Legal / Procurement

Contract Management

Monitors contract terms and expiration dates. Flags when renewal conditions deviate from current policy or when deadlines approach.

In practice An insurer tracks 1,200 broker agreements — the agent detects when commission terms in a renewal slip differ from the master contract.
Customer Service

Customer Issue Resolution

Handles inquiries end-to-end — not just answering questions, but accessing backend systems to actually resolve issues like corrections, refunds, or rescheduling.

In practice A logistics company resolves delivery complaints by checking the TMS, identifying the delay cause, and proactively offering a new delivery slot — without human intervention.

Every bottleneck is an agent waiting to happen.

Explore what's possible →
Without structure, AI doesn't scale intelligence — it scales chaos.

From strategy to implementation.
We guide your AI transformation.

Technology alone won’t transform your organization — people will. We help you reinvent how your business works, step by step, making sure your teams come along every step of the way.

Start a conversation
Determine where to start

Determine where to start

We help you find where structuring how you work creates the biggest wins — so you invest in the right places first.

Build the roadmap

Build the roadmap

Which domains first, what sequence, what's realistic. A concrete plan that fits where your organization is today.

Capture how you actually work

Capture how you actually work

We sit with your experts to map how work, decisions, and exceptions really happen — and make it usable for AI.

Prepare your people

Prepare your people

New ways of working need buy-in. We help teams understand what changes, why it matters, and how they stay in control.

Build lasting capabilities

Build lasting capabilities

Your teams learn to own and evolve the system. We build capability, not dependency.

One platform to
model, manage, and automate how your organization works.

One platform where how your organization works is always current, inspectable, and executable — by both people and AI.

Agents That Follow the Rules

AI assistants that work step by step through your processes — they can't skip steps or cut corners.

Learn more →

More Than Just Chat

Forms, dashboards, and data tables appear right in the conversation. Your team acts on information, not just reads it.

Learn more →

Connected to Your Tools

Pulls data from Jira, Salesforce, Confluence, and more. AI answers using your actual company data — not guesses.

Learn more →

Smart Handoffs

When AI reaches its limit, it routes the conversation to the right person — with full context, no repetition needed.

Learn more →

Cost Control Built In

Set budgets per team, agent, or process. Track AI spending in real time and get alerts before costs run away.

Learn more →
Agents That Follow the Rules
40h
Saved per employee per month on manual coordination
30%
Efficiency gain within the first automated process
90%
Of decisions fully traceable and audit-ready
2 days
From use case definition to first working agent

From first use case to enterprise scale

Nodyn is designed to deliver value quickly, without requiring organizations to model everything upfront. Teams start small, build on existing knowledge, and expand as context accumulates.

Before you start
INITIALIZATION_V0

Before you start

We preload organizational and industry context. Nodyn begins by building baseline context about the organization and the industry it operates in.

Start with a focused use case
STEP 01

Start with a focused use case

Teams begin where operational bottlenecks exist today. One process or decision area where judgment, coordination, or scale limits progress.

Capture decision context
STEP 02

Capture decision context

Domain experts describe how decisions are made: rules, constraints, exceptions. This knowledge is captured directly in the platform, in natural language.

Agents execute and log decisions
STEP 03

Agents execute and log decisions

Agents operate within this context, collaborate across systems, and log what they do and why. This creates transparency and reusable context automatically.

Context compounds
STEP 04

Context compounds

Each use case strengthens the shared organizational context. As the network grows, adding new agents becomes easier and delivers value faster.

Richard van den Berg
CLIENT VALIDATION 02

"We were experimenting with AI, but everything stalled once it touched real processes and compliance. Nodyn gave us a way to make our decision logic explicit and reusable. That’s what allowed us to move beyond pilots and put AI to work in production—without losing transparency or control."

STATED BY
Richard van den Berg // VP Operations

Choose your starting point — from quick insight to full-scale transformation.

01 1 workshop

X-Ray

Where can AI do real work in your organization?

We analyze your core processes in a single workshop and identify where organizational logic is implicit — and where AI can deliver real value.

→ Prioritized opportunity map + automation readiness scores + concrete next steps

02 3-4 weeks

Roadmap

From AI experiments to AI in production.

We translate insights into a phased AI strategy with business cases, governance requirements, and a clear sequence of initiatives.

→ Strategic AI roadmap + business cases per initiative + governance & compliance framework

03 6-8 weeks

First Agent

Prove it works on your most critical process.

We extract the full decision logic of one process — rules, exceptions, handovers — make it executable, and deliver a working AI agent in production.

→ Working agent + documented process logic + trained team + before/after metrics

04 3-6 months

Foundation Program

Build the operating layer AI needs at scale.

We build the organizational logic layer for a complete function, deploy multiple agents, and establish governance so you can evolve autonomously.

→ Organizational logic layer + agent fleet + governance framework + scale roadmap

05 4-6 weeks

Employee Readiness

Prepare your people to work with AI.

We train teams, introduce new ways of working, and build internal champions — so AI adoption actually sticks.

→ AI literacy training + new ways of working playbook + adoption roadmap + champion network

06 6-12 months

AI Transformation

Reinvent your business to be AI-first.

The full program — combining all of the above into a comprehensive transformation. We redesign how your organization operates, embedding AI into every layer: processes, decisions, people, and governance.

→ End-to-end AI operating model + transformed processes + trained organization + governance at scale + continuous evolution roadmap

Clear value for every part of the organization

Executive leadership

  • Scale operations without adding headcount
  • Move AI beyond pilots while keeping control
  • Understand why decisions were made

Operations & business owners

  • Automate work that requires judgment
  • Reduce delays caused by handovers
  • Handle exceptions without breaking automation

IT & architecture

  • Introduce AI without opening up systems
  • Keep AI behavior predictable and traceable
  • Let business users drive changes within guardrails

Risk, legal & compliance

  • Inspect how and why AI decided
  • Enforce rules before execution
  • Maintain complete audit trails

Data & AI teams

  • Stop rebuilding context for every use case
  • Move beyond RAG to governed systems
  • Improve model performance throughout accumulated context

Software & product engineering

  • Start from complete, traceable requirements
  • Reduce rework caused by missing context
  • Build systems that stay aligned as processes change

Founded by people who know how large organizations work.

Nodyn is built by a team with hands-on experience in AI, platforms, and transformation inside large, regulated organizations. We’ve seen why AI initiatives fail once they meet organizational reality—and built Nodyn to close that gap.

Mats

Product vision, strategy and execution

Mats builds the technology powering Nodyn.

Stephan

Client enablement, operations, and sales

Stephan bridges the gap between disruptive tech and organizational reality.

Arianne

Process documentation and blueprinting

Arianne maps the way organizations actually work.

Wouter

Business development and partnerships

Wouter connects Nodyn’s capabilities to the organizations that need them.

Why organizations choose Nodyn

Working with a startup has trade-offs. But you get something you won’t find at big consultancies.

1

You work with the founders

Be THE client, not A client. You work directly with founders who've built software products and transformed organizations.

2

We know both sides

Business transformation AND technology delivery. We've done both, which is what makes AI actually work in your business.

3

Natural language as infrastructure

Business rules humans can read, AI can execute. No translation layer, no 'lost in translation'.

4

We change how people work

Training, adoption, and new ways of working. We train your teams and help you change how work gets done.

5

EU-first, compliance-ready

Built for European enterprises. GDPR, DORA, data residency—built in from day one.

6

Multi-model support

Use any AI model—OpenAI, Anthropic, European providers. Your knowledge base works with any model.

Get in touch

Ready to enable your organization for the agentic future?

Thank you! Your submission has been received!
Oops! Something went wrong. Please email us at nodyn@nodyn.ai.

People improvise. AI agents need instructions.
That changes everything.

Organizations assume AI can work like a capable new hire — learning by doing, asking around, picking things up. It can’t. People and AI agents process information, learn, and collaborate in fundamentally different ways.

People
AI Agents
Context

Absorb culture and norms intuitively

Require explicit instructions about their environment and role

Learning

Talk to colleagues, build mental models, improve over time

Cannot learn on the job — everything relevant must be stated upfront

Ambiguity

Handle grey areas, improvise

Operate within predefined guardrails — no improvisation

Collaboration

Fill gaps through informal teamwork

Cannot rely on informal communication

Processes

Use as guidelines, adapt when needed

Must follow documented processes strictly

This is why 'just add AI' doesn't work. Your organization was built for human flexibility. AI agents need structure, clarity, and explicit logic. That's what Nodyn provides.

Let's figure out where to start.

Tell us what you're working on — we'll show you what's possible.