Quicker ROI
Don’t want to risk integration and compatibility issues delaying time-to-value? We’ll help you deploy and reap tangible results faster — without breaking mission-critical processes.
AI integration services
AI can’t be effective if you don’t make it an integral part of your processes and infrastructure. Integrio helps SMEs and enterprises alike integrate AI into existing internal tools, consumer products, data, and logic — without full rebuilds. The result? AI capabilities that always rely on fresh data, seamlessly interact with other systems, and become a natural part of everyday workflows.
Need us to build a custom AI/ML model? Or connect your software to an off-the-shelf one? Either way, our AI integration services will ensure it fits in just right.
Let’s talk AI integrationAI integration services that deliver
real results
Mitigated risks
Adding AI to production builds is risky. We get it. That’s why we take a proactive approach to preventing downtime, data loss, integration malfunctions, and business process errors.
Full alignment with real-world processes
You won’t have to rework your whole operational model around AI integrations: our solutions are designed to work seamlessly within existing processes. Our AI integration consulting can help you optimize your processes for extra ROI.
Connected, quality data
We’ll break data silos and implement scalable data pipelines to help you make smarter decisions with more accurate insights and a single source of truth for all enterprise data.
Targeted modernization
Don’t abandon your AI aspirations over legacy code. Our AI integration services will help you leverage AI without tearing down legacy systems: we’ll modernize only the components that really need it.
Security & compliance by design
We take your security, privacy, legal requirements, and industry standards into account from the very start. Your AI integration will comply from day one, removing the risk of costly reworks later on.
Long-term scalability & maintainability
Rest assured: your AI capabilities will handle growing usage and evolving needs. We’ll make it easy to scale, maintain, and adapt as your business expands with tried-and-true AIOps/MLOps practices.
Our AI integration
services
Need to add a customer service chatbot to your app? Automate more processes with existing internal tools? Or just make sure AI is the right technology for your case? Our AI integration services can help with all that — and more.
AI system integration
Integrate AI into your whole software estate with Integrio. We’ll make sure that data flows seamlessly to and fro — and that your AI/ML models can easily interact with all systems.
Our AI integration expertise in action
Prediction and recommendation engines, healthcare diagnostics, intelligent automation — these are just some of the AI applications we’ve helped our clients deploy.
Case study 1 of 5
#1
Personalizing retailers’ promos
Mobiry launched an AI-powered SaaS product that uses POS data to personalize promotions based on customer behavior analysis and forecasting.
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#2
Optimizing pathology test ordering
Synnovis improved operational efficiency with AI-driven test recommendations that weed out unnecessary and duplicated tests and flag missing ones.
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#3
Personalizing marketing recommendations
Expedia’s new ML engine tailors marketing suggestions to hotel partners’ behavior, psychology type, and location.
#4
Automating safety assessments
SnapAudit AI streamlines construction safety audits by automatically identifying safety hazards and compliance issues in photos, recommending remediation steps, and generating reports.
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#5
Predicting cargo disruptions
AI suggests alternative routes before cargo disruptions snowball into costly shipment delays that draw customers’ ire.
AI integration company with 25+
years of industry experience
Healthcare
Clinical decision support: Reduce clinicians’ cognitive load with AI-powered care recommendations
Pathology test optimization: Weed out unnecessary tests and pinpoint missing ones to streamline lab workflows
Patient intelligence: Enhance care continuity with automated patient drop-off risk evaluation
Capacity & scheduling optimization: Prevent long wait times and overworked staff with demand forecasting and effective resource allocation
Clinical pathway intelligence: Improve patient outcomes with AI-powered treatment approach suggestions
Why businesses choose Integrio’s
AI integration services
We know AI integration isn’t a silver bullet. That’s why we first help our clients understand whether it’s the right choice and assess their AI readiness before implementation.
12+years in AI
We established a formal AI/ML department in 2017, long before professional AI chatbot development was a thing — and we’ve stayed at the forefront of AI innovation for over 12 years.
40+AI projects
Companies like Synnovis, Air Canada, SnapAudit AI, and Expedia have trusted our AI and chatbot development services.
20+AI experts
Your project will be in the hands of senior team members with 15 to 20 years of experience in AI/ML. We also have 10 PhDs in mathematics on our team.
No vendor lock-in
We’ll hand over thorough documentation for your AI chatbot development project and bring your in-house team up to speed to prevent vendor lock-in.
Canadian HQ
With offices in Toronto and Vancouver, we’re decidedly a Canada-based company — all while connecting you with the largest IT pool in Europe.
25+years in software development
That’s right: we’ve been finding and implementing optimal solutions for our clients across multiple industries for over a quarter-century.
Integrating AI is risky. We’ll ensure your investment doesn’t become a sunk cost.
Turn AI into a real, value-adding asset with Integrio’s AI integration services — without having to build a new system from scratch.
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FAQ
You need to define your goals, validate that AI is the right choice for achieving them, and assess your existing system and data for AI readiness.
The final price tag depends on so many variables that it’s impossible to give an accurate answer. Those variables include the current state of data pipelines, the extent of modernization needed, and the type and complexity of AI capabilities.
Yes, but it may require modernizing the legacy system or implementing middleware. It’s also crucial to break data silos and ensure data quality.
If you have a custom AI/ML model in place, you’ll need to retrain it using new data. If you’re using a third-party foundational model and want to switch to another one, you may need to adjust its configurations, system prompts, orchestration logic, and grounding data.
We take a holistic look at the problems you want to solve with AI and consider alternatives to this technology. We also weigh the potential benefits against the costs and, when needed, run a pilot project first.
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