AI added to the web and mobile apps you already run, so you don't have to rebuild to get the benefit. We add a new capability to a product that already exists. Your app, your data and your users stay where they are, and the AI slots in through your current APIs. That capability might be a chatbot, smarter search, or recommendations. What you end up with is production AI you can put in front of real users, running inside the product you already have.
Adding AI to a product you already run is one of the ways we build AI, and this page is the deep dive on that route. If you're starting a new AI product from scratch instead, that's our broader AI development services. Here's what integration means in practice.
A model starts working inside the product you already have and does something useful with what's there: it answers a question from your content, ranks or recommends items you already hold, or turns a recording into a summary. In practice that's an API link to a model, your own data feeding it so answers stay grounded, and the wiring back into your existing screens.
You don't have to build a new AI product from scratch to get the benefit. You keep the product you run and add the capability on top, so the feature acts on your real data without starting over.
No rebuild required
The AI slots into the product you already run, added through your current APIs. We did exactly this on our own site: we added an AI project estimator to wolfpack-digital.com without rebuilding it.
Grounded in your own data
A useful AI feature is only as good as what it can draw on. We connect the model to the data your app already holds, such as a product catalogue, so its answers come from your own content. For an online bookstore we work with, the assistant recommends real books the shop actually sells, never invented titles.
Works with the systems you already use
We wire AI into your existing setup: catalogues, carts, wishlists, document stores and the third-party tools you rely on. The feature reads and acts on your live data, so it reflects real stock and current pricing rather than a stale copy.
Model choice you're not locked into
We pick the AI model that fits your budget and speed, whether that's Claude, OpenAI's ChatGPT, Gemini, or an open-source one, and we can change it later. The model can be swapped in production, moving from one provider to another without rebuilding the app around it.
A chatbot or copilot inside your app
An assistant your users talk to, grounded in your own content so it answers about your business. It recommends real items from your live catalogue and drops them straight into the shopper's existing cart and wishlist.
Smart search over your data
Plain-language search and question-answering across your catalogue, so people find the right thing by describing it in their own words.
Recommendations grounded in your catalogue
Suggest the right item from what your product already holds, based on what a user is looking at or has done, surfaced inside the app they already use rather than a generic model's guess.
Summaries and transcription (voice AI)
We plug in third-party AI APIs that turn recordings and conversations into clean, fact-only text. On Fyl we wired in Deepgram for transcription and Mistral for summaries, with fallback logic for when a provider fails. On SOARR, voice AI turns a clinician's spoken account of a visit into structured notes, with voice macros and custom instructions that fit the way they already document.
Document extraction with a review step
Pull structured data out of PDFs and forms automatically, with an optional step where a staff member checks the extracted fields before they're used. Useful where accuracy and accountability matter.
Fairness and responsible-AI tooling for your ML
If you already run machine-learning models, this plugs into your existing pipeline. Equality AI, a 2024 Webby winner, is an end-to-end fairness framework we built that applies to teams' existing model-fitting workflows to reduce bias in clinical-decision models.
01
Audit your app and your data
02
Scope the feature and cost the model
03
Build it and wire it into your existing app
04
Evaluate and ship inside your product
Audit your app and your data
We start with what you've got: the product, the APIs and the data it already holds. AI quality starts with data quality, so we map and model that data first, and we're honest about where AI genuinely helps this product and where it isn't the answer.
Scope the feature and cost the model
We prioritise what to build first and work out the ongoing running costs, covering the model API, hosting and processing, before anyone commits. You approve the scope and the approach up front.
Build it and wire it into your existing app
We build the feature around the model: the retrieval, the grounding in your data, the memory and the interface. Then we connect it to your existing APIs and screens, and where the feature needs current data, we keep it in sync with your live system.
Evaluate and ship inside your product
Before it goes live, and after each change, we test the feature for accuracy and quality, add guardrails, and measure it against real product metrics once it's in front of users.
Putting AI into a product that's already live raises fair questions about data and trust, and we build for them. We handle sensitive data under ISO 9001 and ISO 27001 practices and GDPR, with privacy designed into the architecture from the start.
Where an AI feature processes personal data, we can add an explicit consent step, as we did on Fyl, where users consent before their recordings are processed by AI. And where people rely on what the AI produces, we build in safeguards against hallucination, as we did on SOARR, so the output stays faithful to what was actually said.
Anthropic Claude
OpenAI GPT
Google Gemini
Meta Llama
Mistral
Deepgram
Pinecone (vector database)
Our AI work runs across products people rely on for real jobs, from clinical notes to voice summaries to recommendations inside a live store. Explore the projects below to see how the model becomes part of the product.
From startups to scale-ups and industry giants—brands across various industries choose us as their trusted partners. They rely on us to transform their ideas into stunning products, deliver innovative solutions, and enhance existing projects to help them stand out in the market.
We were able to create a full-feature Romanian/French team in a snap. The collaboration was always easygoing.
Their team has an excellent agile approach that allows them to complete sprints quickly and in an organized manner.
Janice Davis
COO & CTO @ Equality AI
Consistently exceeding expectations, Wolfpack Digital has provided impressive deliverables on time to meet benchmarks. The team has been accessible and provided a detailed project overview to ensure a streamlined collaboration. They have supported a successful collaboration with a brand identity.
Krisztina Orosz
Chief Experience Officer, Anyline GmbH
From the first day, Wolfpack was extremely committed, reliable and delivered solutions in outstanding quality. I also enjoyed that the Wolfpack team made lots of very useful suggestions and deeply cared about our company. Working with Wolfpack feels like working with your own team.
Axel Heinz
CEO and Founder of Makerist
They nicely replicated our brand elements into the design without much input from us. They had good ownership and delivery of the agreed tasks. Their help was essential in allowing us to focus on core back-end functionality with our in-house team. Wolfpack Digital was willing to adapt to our needs and learned the specific technologies we wanted to use on the project.
Tibor Barna
CTO at GoodBox
The highly functional app has drawn enough users to make up 20% of the customer base across platforms. Wolfpack Digital is a communicative and reliable team that’s easily capable of integrating with the in-house development team. We communicated well. They responded to us rapidly, demonstrating their understanding of our business and any errors we might face.
Peter Kondrup
CTO at FirstAgenda
They are informed, easy to work with, and communicative, bringing plenty of experience to the table. Overall, the quality of the work is brilliant. My business partner was skeptical about outsourcing it initially, but he ended up having his current applications rebuilt by Wolfpack too.
Raymond Valentine
CEO at FlexiDrive
Working with Wolfpack Digital has been a blast. Gina and her team are very product-oriented and made sure they understood our needs before diving into building the app. This upfront effort paid off by meeting the deadline weeks ahead of schedule.
Flaviu Simihaian
CEO and Co-founder of Amplicare
We were happy with Wolfpack Digital’s work, it's proven, very useful and we were able to manage projects from long distance. Thank you for your services!
Chen Lev
CEO at Storyball
Wonderful culture with the company and people. Incredibly professional, competent, and knowledgeable.
Christopher Dyson
Founder @ Pearls
Their management and communication are impressive, as well as their maturity in technical decision-making.
Radu Gatej
CTO @ BrainCapture
They have understood the project needs very fast and always come up with the best solutions.
Alina Tarcea
Product Owner @ Novum Bank
The speed at which development progressed and the quality of the final result was impressive.
Brendan Staunton
CEO @ Amara Therapeutics
"Thanks to Wolfpack Digital, we saw a 50% increase in app downloads, stronger customer retention, and a 2–5% rise in online sales."
"Their design talent is the best we have seen anywhere. They have a unique ability to take dense, complex industrial data and translate it into intuitive, consumer-grade interfaces that look incredible."
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