AI-integratie · Maatwerksoftware · Zuid-Holland

AI integration and custom software for companies in South Holland.

Based in Rotterdam, Polder Knowledge helps companies in South Holland and beyond to deploy AI practically. We develop AI agents, custom software, and smart workflows that align with existing processes, data sources, and systems. Human control remains a core part of the solution.

✓ Custom software ✓ AI agents ✓ Agentic workflows ✓ API integrations ✓ Focus on South Holland
  1. 01Define the challenge
  2. 02Explore data & systems
  3. 03Choose use case
  4. 04Build prototype or pilot
  5. 05Integrate into processes
  6. 06Scale & manage
AI-volwassenheid

Where does your organization stand with AI?

Not every organization is at the same point. One may be exploring possibilities, while another is experimenting or already using AI structurally. We help determine which next step fits your goals, data, and processes.

  1. Explore

    Discovering opportunities and risks. Building basic knowledge and evaluating the first applications.

  2. Experimenting

    Executing targeted pilots. Testing value, data quality, security, and ease of use.

  3. Standardizing

    Integrating AI in a controlled manner with clear workflows, responsibilities, and management.

  4. Innovating

    Developing and improving new products, services, or workflows with AI.

  5. Leading the way

    Strategically deploying AI for competitive advantage and new market opportunities.

Diensten

From AI agent to custom application.

From knowledge assistant to agentic workflow: we combine software development, data, and system integrations into applicable solutions that support employees.

Custom web applications

Customer portals, internal tools, dashboards, and SaaS solutions that fit your processes.

Developing AI agents

AI agents that use data from trusted sources, analyze documents, prepare actions, and support employees.

Agentic workflows

Workflows in which AI models, business rules, APIs, and human approval work together in a controlled manner.

API links

Secure links with CRM, ERP, databases, document storage, and external services, including permissions and logging.

Data and dashboards

Data models, reports, and dashboards that allow teams to manage more effectively.

Prototypes and MVPs

Quickly validate whether an AI idea is technically feasible and delivers business value.

AI-agents & agentic workflows

AI agents only become valuable within a controlled process.

A chatbot primarily helps with questions and answers. An AI agent can also gather information, prepare decisions, or perform a follow-up step via tools. That is why we make it explicit which sources are used, which authorizations apply, and where human approval is necessary.

Understand

The agent reads context from documents, forms, emails, or internal systems.

Reason

The agent translates input into options, risks, next steps, or draft output.

Act

The agent can prepare tasks, update systems, or initiate workflows.

Check

Human review remains possible at the moments where it is required.

Gemaakt door Polder Knowledge

AI in practice. From smart questionnaires to technical product assistants.

These are solutions we have built or researched as a proof of concept. Each application combines a concrete challenge with data, software, and where useful, AI. We distinguish between realized work, internal tools, and experiments.

Realized tool

Text to Automation

An editor that allows organizations to build their own interactive questionnaires and chatbot flows, for example for onboarding, service, and support. The runtime synchronizes the form and AI chat in real-time. Inline instructions for validation (::validate), action buttons (::button), and reusable sections (##) with mappings make the conversations configurable.

Conversational UXWorkflow logicForm & AI
AI product assistant

Technical product information instantly findable

A chatbot for TotalEnergies Lubricants customers that answers questions about Technical Data Sheets, Product Data Sheets, and Safety Data Sheets. A Python backend with LangChain on AWS and PostgreSQL with pgvector supports semantic search. Answers include direct source references to the relevant page in the document.

Python & LangChainAWSPostgreSQL / pgvector
Internal business application

Business Control: AI-supported management dashboard

A central financial and commercial dashboard that brings together information from SnelStart, multiple HubSpot accounts, Gmail, and Google Calendar. It provides insight into revenue, costs, cash flow, invoices, VAT obligations, and sales opportunities. Data is analyzed every workday into an AI management briefing covering developments, risks, and action points.

API integrationsForecastingAI briefing
Museum pilot + proof of concept

Vincent van Gogh & Thyssen-Bornemisza

Twee toepassingen voor betekenisvolle museumgesprekken. Vincent. All ears. uses historical letters, references, and artworks in a visitor conversation. The Thyssen-Bornemisza POC with Giovanna degli Albizzi Tornabuoni suggests a personalized art route based on a visitor's emotion.

View Vincent
Realized software platform · non-AI case

TotalEnergies: B2B platform and system integrations

A separate custom software project for TotalEnergies, featuring ordering processes, telemetry, and integrations with SAP, among others. This demonstrates the technical foundation upon which advanced automation and AI applications can connect.

View the software case
Proof of concept

Automated landing page and CRO analysis

A workflow that, upon receiving a URL via webhook, takes desktop and mobile screenshots, collects page content and SEO signals, and generates conversion improvement suggestions using OpenAI. The advice is automatically sent back via email.

WebhookSEO & CROAI analysis
Proof of concept

Enriching LinkedIn contacts with AI

A workflow that enriches LinkedIn contact records from Supabase with publicly available company information via Serper and an AI analysis. Industry, expertise, and location are recorded structurally; uncertain data, including derived email addresses, require verification. Results are written back to Supabase, including a status notification.

Serper APIOpenAISupabase

Not every project uses autonomous agents. Some applications are AI assistants, others are automated workflows or regular custom software. We choose the technology that fits the challenge.

Collaboration

Senior specialists, short lines of communication, and lasting commitment.

Our collaboration is direct and pragmatic. We set clear priorities, keep technical choices explainable, and remain involved in management and further development.

Directly with the makers

You speak with the specialists who contribute ideas on architecture, user experience, and technical execution.

Technology with a purpose

We choose AI where it adds value. Sometimes business rules, an API link, or standard automation is the better solution.

Beyond delivery

We take maintenance, security, monitoring, and the further development of the application into account.

Softwarepartner vanuit Rotterdam

Rotterdam-based. Technical partnerships in South Holland and beyond.

From Rotterdam, we combine senior software development, UX, and system architecture. We don't make AI bigger than necessary: first a usable application, then reliable integrations, secure access, and room for further development.

We work with companies and organizations in the region and elsewhere in the Netherlands. You speak directly with the specialists who think along and build.

Abstracte illustratie van Rotterdam, software en AI Rotterdam · Software · AI
FAQ

Frequently asked questions about AI and software development.

Brief answers to questions that often arise during initial orientation.

What does it cost to have an AI agent or custom application built?

That depends on the complexity, data sources, integrations, and security. For extensive custom trajectories, we generally focus on projects starting from €30,000. A limited exploration or proof-of-concept can help to test feasibility beforehand.

What is the difference between an AI chatbot and an AI agent?

A chatbot primarily answers questions. An AI agent can also perform or prepare tasks within predefined frameworks, such as retrieving information, drafting a document, or starting a workflow.

Can you integrate AI with our existing software?

Yes. We build integrations with CRM, ERP, databases, websites, forms, document storage, project management tools, and external APIs, among others.

Is an AI agent secure enough for business processes?

That depends on the design. We pay close attention to privacy, access rights, logging, human control, and clear boundaries. Not every task is suitable for full automation.

Can we start small?

Yes. We can use a defined exploration or proof-of-concept to support a larger trajectory. This way, we investigate the technical feasibility and business case before a broader implementation.

Do you also build regular software without AI?

Yes. Many good AI solutions start with good software, data, and integrations. We also build custom applications, dashboards, API integrations, and workflow tools without generative AI.

Eerste stap

Make AI practical for your organization.

Is your organization looking for a technical partner for AI agents, workflow automation, or complex integrations? We discuss the business case, existing systems, and a feasible first step. From Rotterdam, for organizations throughout the Netherlands.