AI software development

Custom AI software that fits how you work. Not the other way around.

As an AI development company, we build web apps, portals and AI tools that do exactly what you need. Fixed scope, fixed price. No off-the-shelf tool to bend your process around.

AI software development

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Sound familiar?

The process works. But it does not scale.

What worked at 10 customers grinds to a halt at 50. Manual work piles up, tools do not fit, and every week you copy the same data from A to B. You know it has to change. You just do not know exactly how.

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Then this work is a good candidate for AI. The AI audit establishes whether it really is.

See the AI audit
Tick what you recognise.

Custom AI development, from question to working software.

No surprises. Fixed scope, fixed price. And we stick around.

Discovery and scope
Build and test
Launch and keep improving
  1. 1 Discovery and scope
  2. 2 Build and test
  3. 3 Launch and keep improving

Timeline

How long does it take to build AI software?

You have the first working version in 4 to 8 weeks. After that, iterations based on what we see in production.

Discovery and scope

first step

Up front, before week 1.

Before we start: Agreed: what we build, which integrations are needed and the fixed price that goes with it

Build and test

usually 4 to 8 weeks

Weeks 1 to 4. May run until week 8.

Usually within 4 to 8 weeks: The first working version

Launch and keep improving

monthly

Starts between week 5 and 9, then ongoing.

Through a retainer: improvements and new features every month.

Weeks counted from the start of the build. Fixed scope, fixed price. And we stick around.

What we build

No off-the-shelf solutions. Custom AI software that works.

Exactly what you need. No more, no less. Built for how you work.

  1. The custom-built EVOKE finance platform with a built-in AI assistant

    Web apps

    Software your team uses every day.

    Portals, dashboards, internal tools. Built to measure, with login, permissions and an interface that fits the way you work. No hassle with licences or the limits of off-the-shelf software.

  2. The custom Wonen Dashboard we built for Snelder Zijlstra

    Automations

    Processes that run themselves.

    Processing invoices, syncing data, sending emails, generating reports. Anything that follows a fixed pattern can be automated. We build it so you never have to think about it again.

  3. An internal web app with multiple modules, built for DigiSocial

    Integrations

    Systems that talk to each other.

    Your CRM with your accounting. Your project tool with your time tracking. Your website with your back office. We build the bridge so data flows on its own and you no longer have to copy anything.

  4. A custom dashboard with real-time cases and KPIs for Victa

    Maintenance

    Building it is only the beginning.

    Software should grow with your business. We maintain what we build and keep developing it based on how you use it. Monthly, predictable, no surprises.

Core sectors

The sectors where our proof runs deepest

Financial services and real estate are our sharpest vertical focus, backed by working solutions and hands-on delivery experience.

Frequently asked questions

Questions you probably have too.

Still have questions? Get in touch
What is custom AI software?

Custom AI software is software built specifically for your business, with AI models at the core or in a supporting role. Not plug-and-play SaaS that you squeeze into, but a tool that fits how you work and connects to your existing systems. Think customer portals, dashboards, internal search tools and automations.

What does an AI software development company do?

It designs, builds and maintains software with AI inside: from understanding the process and the business case to the architecture, the integrations with your systems and keeping it running reliably. At Innoworks every custom AI development project starts with the process, not the code, and runs on a fixed scope and price agreed up front. After launch we stay involved through ongoing development and maintenance.

Can you have a custom AI tool built?

Yes. A custom AI tool is software that takes over or speeds up one task in your business, built on existing AI models and connected to your own systems and data. For HypotheekCompany, for example, we built an internal search tool that searches their underwriting guides in plain language and answers within seconds, with the source and version included. You start with the process that needs to improve: we fix the scope and a fixed price up front, and the first working version is usually ready within 4 to 8 weeks.

Who can help develop custom AI for business processes?

You need a partner that handles both the process and the technology, so the AI fits how the work actually runs. Innoworks is that kind of AI implementation partner: we start with discovery and scope, build and test in short iterations and stay involved after launch for maintenance and ongoing development, with a fixed scope and price agreed up front. You bring the process knowledge and an owner; we bring the build, the integrations with your systems and the checks on the output.

Is custom software still needed now that AI can write code?

Writing code is quickly getting cheaper, but the value lies in building the right thing: understanding the process, designing the architecture, connecting data and systems, and making sure it keeps running reliably. That is why every custom project with us starts with the process and the business case, not with the code. AI makes building faster, it does not make the thinking redundant.

When do you choose custom software over a SaaS tool?

When existing SaaS tools bend your process too far, do not integrate with your systems, or do not handle the core task specifically enough. Custom wins as soon as "just tweak it in the SaaS" is no longer an option. For standard processes, SaaS is almost always cheaper.

What kind of AI software do you actually build?

No one-size-fits-all platform, but custom work per company. Examples from recent projects: a secure tenant portal with dynamic intake for an estate agent, AI that compares insurance policy sheets and fills in homeowners-association reports for an insurer, an internal web app that lets a marketing agency's account managers generate audits and updates automatically, an AI blog engine that writes SEO content in the right tone of voice, and real-time finance platforms for SaaS. A different solution per sector, the same principle.

How do you choose an AI development company?

Ask whether they start from your process or from a technology, whether they can show working software at real clients, whether scope and price are fixed up front, how they avoid vendor lock-in, and who maintains the software after launch. A partner that builds and then disappears leaves you with software nobody develops further.

What does it cost to have custom AI or custom software built?

It depends on the scope, which we agree up front with a fixed price, so you never run into surprises. The price is driven mainly by the number of systems the software connects to, the number of users, roles and screens, how critical the task is (and so how much checking and logging it needs) and whether it is delivered once or developed further through a retainer. A well-defined internal tool is a smaller project than a customer portal with multiple integrations. Book a call for a concrete estimate for your situation.

How long does it take to build AI software?

You have the first working version in 4 to 8 weeks. After that, iterations based on what we see in production. We do not deliver one big product after months, we work in phases so you have something usable at every phase.

Which technologies do you use?

Modern and pragmatic: TypeScript, Next.js, Supabase, OpenAI, Anthropic and cloud infrastructure where needed. We choose based on fit with your use case and what your team can handle, not on trend. No vendor lock-in where it is not necessary.

What happens after launch?

Ongoing development and maintenance run through a retainer. Updates to libraries, models and integrations happen continuously. Not deliver and disappear, but stay involved. Every month, improvements and new features based on what delivers the most.

Do you also work alongside our in-house IT or dev team?

Yes. We work both fully in the lead and alongside your own team. We build the AI layer, you stay the owner of the existing stack. We agree up front how we set up the collaboration, so everyone knows where responsibility sits.

Where does most of your time go?
That is where we start.

Tell us which work comes back every week. We show you what AI prepares, and what you only still approve.

Not ready for a conversation yet? See what we built first →

30 minutes. Online or in Enschede. You decide.