AI Integration Services
AI integration built into the systems that already run your business
Building a capable AI model is only half the challenge. The other half is connecting it to the systems, data, and workflows where it actually needs to operate. We integrate AI into your existing software products, enterprise platforms, legacy systems, and cloud infrastructure so the intelligence you invest in becomes genuinely accessible to the people and processes that need it.
What we do
AI integration solutions we deliver.
From existing software products to CRMs, data pipelines, and cloud infrastructure — connecting the AI you’ve built to the systems that need it.
Expert Team & Proven Experience
10+ years in the industry, with 500+ happy clients worldwide.
Integrating AI Into Existing Software Products
Your software already works — the opportunity is making it smarter. We add intelligent search, personalized recommendations, predictive alerts, and conversational interfaces to your existing web and mobile apps without requiring a rebuild.
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Connecting AI to CRM and ERP Systems
Your CRM and ERP hold some of the most valuable data in your business. We integrate AI with Salesforce, HubSpot, SAP, Oracle, and other enterprise platforms for lead scoring, forecasting, and automated data enrichment.
Integrating Third-Party AI APIs Into Internal Workflows
We build the orchestration layer that routes requests to the right AI service, handles authentication and rate limiting, transforms outputs for your downstream systems, and logs everything for audit and monitoring.
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Connecting AI Models to Data Pipelines and Warehouses
AI models are only as good as the data they receive. We build the integration layer connecting your AI systems to your pipelines, warehouses, and lakes — ingestion, feature stores, data quality checks, and feedback loops.
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Embedding AI Into Cloud Infrastructure
We design and implement AI infrastructure on AWS and Microsoft Azure, configure auto-scaling for inference workloads, and build the monitoring stack that gives your operations team full visibility.
Learn morePlatforms
Systems and platforms we connect to.
A successful integration takes expertise on both sides of the connection — we bring over a decade building AI systems and the enterprise platforms they plug into.
Salesforce & HubSpot
AI embedded directly in your CRM — intelligent lead scoring, automated data enrichment, AI-assisted forecasting, and next-best-action recommendations, with every integration respecting the access controls and data governance already in place.
SAP & Oracle ERP
AI connected to your ERP for intelligent demand forecasting, automated anomaly detection in financial data, procurement optimization, and predictive maintenance signals surfaced in the interface your operations team already uses every day.
Microsoft 365 & Teams
Intelligent search across documents and communication history, AI assistants embedded in Teams channels, automated meeting and email summarization, and document generation — inside the Microsoft 365 environment your team already operates in.
AWS & Azure Services
As certified partners of both AWS and Microsoft Azure, we connect custom models to managed inference infrastructure and integrate platform-native AI services, building the data and networking layers that tie everything together securely.
Custom Internal Systems & APIs
Proprietary databases and bespoke APIs unique to your organization, built with the same rigor as named enterprise platforms — authenticated, well-documented connection patterns tested against your actual systems before deployment.
Data Warehouses & BI Tools
AI connected to Snowflake, BigQuery, and Redshift, and to BI tools like Tableau, Power BI, and Looker, so AI-generated insights surface in the analytical environments your team already uses rather than living in a separate system.
Our approach
Legacy systems get wrapped, not replaced
Legacy systems weren’t designed with modern AI connectivity in mind. Rather than forcing a costly rewrite, we wrap them in microservices and API gateway layers that create clean, stable integration points, then add AI capability on top. Every integration is built with stability as a non-negotiable constraint — well-defined interface boundaries, phased rollouts, and testing against your live environment before anything touches production traffic. It’s the same product mindset we bring to custom AI software development.
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Security & compliance
Security at every connection point
Every integration point is a potential security risk if not designed carefully. We use authenticated, encrypted connections at every boundary, apply least-privilege access controls, and build comprehensive audit logging of every data exchange — with integrations designed to meet GDPR, HIPAA, and SOC 2 requirements as applicable to your industry.
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Our process
From discovery to a live integration, without the guesswork
We start by mapping the full integration landscape — what connects to what, the security and compliance requirements at each point, and the latency and throughput you need (1–3 weeks). We prototype the highest-risk connection points against your actual systems before committing to a full build, then develop and test the integration layer in sprints, and deploy with a phased rollout backed by 90 days of post-launch monitoring and support. This page is the overview — see our broader AI and machine learning services for how integration fits alongside model development.
Book a discovery callIndustries
AI integration across industries.
Integration requirements differ sharply by sector — here’s how we approach the environments we work in most.
Healthcare
AI integrated into electronic health record systems, telemedicine platforms, and clinical decision support within HIPAA-compliant infrastructure. Building and operating Doccure gives us direct insight into what these integrations must meet.
Financial Services
AI connected to core banking systems, trading platforms, risk management tools, and compliance reporting — with comprehensive audit logging, encrypted data transfer, and designs that meet the regulatory standards of your jurisdiction and institution type.
Retail & E-commerce
Integrations spanning product catalog, order management, inventory, and CRM — connecting AI-driven personalization, demand forecasting, and dynamic pricing to the operational systems where their outputs need to take effect across your retail stack.
Manufacturing & Field Operations
Bridging legacy systems, edge infrastructure, and operational technology not designed for AI connectivity — connecting AI models to production monitoring systems, maintenance management platforms, and field service applications.
Professional Services
AI connected to the document management, project management, CRM, and communication platforms your teams already work in, so assistance is available natively where the work actually happens rather than in a separate tool.
By the numbers
The experience behind every integration.
10+
Years of proven success
500+
Happy clients worldwide
20+
Products we have built
250+
Technical team members
Technologies we work with
- REST & GraphQL APIs
- Webhook & Event-Driven Architecture
- Salesforce & HubSpot APIs
- SAP & Oracle Frameworks
- Microsoft Graph API
- AWS Lambda & API Gateway
- Azure Logic Apps
- Apache Airflow
- Snowflake / BigQuery / Redshift
- HashiCorp Vault
Related services
Part of our AI development services.
One of 13 specialized practices under our AI & ML hub — explore the ones most relevant to what you’re building.
FAQ
Frequently asked questions
What we hear most often about connecting AI to the systems your business already runs on.
What does AI integration actually involve?
AI integration is the work of connecting AI capabilities to the systems, data sources, and workflows where they need to operate. This includes building APIs and data pipelines that feed inputs to AI models, connecting model outputs to downstream systems, implementing security and authentication controls that govern data flow, and setting up monitoring that keeps everything running reliably after launch.
Can you integrate AI with our legacy systems without replacing them?
Yes. We wrap legacy systems in microservices and API gateway layers that create stable integration points, then connect AI components to those interfaces. Your legacy system keeps running as it does today while new AI capabilities are added on top gradually and safely.
How do you handle security when connecting AI to enterprise systems like Salesforce or SAP?
Every integration uses authenticated, encrypted connections with least-privilege access controls so AI systems only touch the data they need. We implement comprehensive audit logging of every data exchange and design integrations that meet GDPR, HIPAA, and SOC 2 requirements as applicable. Your security team reviews and approves the architecture before anything goes into production.
How long does an AI integration project take?
A focused single-system integration typically takes 4 to 8 weeks. A broader integration spanning multiple enterprise platforms, legacy systems, and data pipelines typically takes 3 to 6 months depending on complexity and the number of connection points involved. We give you a precise timeline after the integration discovery phase.
What happens if one of the systems we are integrating with changes or is updated?
We build integrations with versioned, well-documented interface contracts designed to be resilient to changes in connected systems. Monitoring alerts your team when an integration experiences unexpected behavior. Our post-launch retainers include integration maintenance so when your systems evolve, your integrations evolve with them.
Do you provide support after the integration is live?
Yes. We include 90 days of active post-launch support covering integration health monitoring, error resolution, performance tuning, and adjustments as your systems and data volumes change. After that, ongoing retainers keep your integrations maintained and current as your technology landscape evolves.
Ready to connect your AI capabilities to the systems that run your business?
Whatever you need to connect — a CRM, an ERP, or your cloud infrastructure — start with a conversation. No obligation.