AI INTEGRATION IN YOUR PRODUCT

Add useful AI features without overcomplicating your product

We integrate AI directly into your product journeys to enrich user experience, accelerate tasks and strengthen perceived value.

AI integration built for outcomes

What you get in the first weeks

  • Journey audit for AI enrichment
  • Seamless product integration
  • User testing and iterations
  • Quality and cost monitoring in production

They trust us

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Our commitment

We embed AI into your product where it genuinely improves the user experience

Adding AI to a product is not about checking a trend box. It is about identifying the specific moments in your user journeys where intelligence creates real value: faster decisions, smarter suggestions, automated tedious steps.

At Inprogress, we integrate AI as a natural extension of your product, not as a bolted-on feature that confuses users.

Our responsibility

Seamless AI integration that enhances without disrupting

Poorly integrated AI creates friction, not value. We take responsibility for designing AI features that feel native to your product and deliver measurable improvements to the user experience.

At Inprogress, every AI integration is validated with real users and monitored for quality, performance and cost in production.

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Why Inprogress?

Journey-first integration

We audit your product journeys first to identify exactly where AI adds the most value for your users.

Quality assurance

We monitor AI outputs in production with automated checks and fallback mechanisms to ensure consistent quality.

Incremental rollout

AI features are deployed progressively with feature flags so you can validate impact before full rollout.

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Frequently asked questions

Common integrations include intelligent search, content recommendations, auto-completion, document analysis, smart notifications and contextual assistants.

The right features depend on your user needs and the data available in your product.

Usually not. We design AI integrations as modular services that connect to your existing architecture through clean APIs.

This minimizes disruption and allows AI features to evolve independently from your core product.

We define success metrics before integration: task completion time, user satisfaction, feature adoption rate and error reduction.

Post-launch monitoring provides clear data on whether the AI feature delivers the expected value.

Yes. We deploy AI features behind feature flags so they can be enabled, disabled or adjusted without redeploying your application.

This gives you full control over the user experience at all times.

We design AI integrations with privacy by default: data minimization, secure processing and compliance with GDPR and other applicable regulations.

Sensitive data processing can be kept on-premise or within your preferred cloud environment.

Let’s talk about your project

A web or mobile application to launch, or a product to accelerate?
Book 30 minutes to align on the right next step, without wasting cycles.
See our work