AI Integration
Add AI to the software you already run
OmniLabs integrates AI into your existing apps, data, and workflows, without rebuilding what already works.
Discuss your AI integrationWhy AI stalls in existing systems
- 01
Your core systems weren't built with AI in mind.
- 02
A full rewrite is too slow, costly, and risky.
- 03
Data sits in separate systems AI can't reach.
- 04
AI costs and security risks are hard to control.
AI built into your existing systems
Practical AI features, connected to the tools your team already uses.
- AI integration consulting
- Generative AI features
- AI workflow automation
- Document and image AI
- Recommendation engines
- Enterprise-grade security and cost control
AI integration services
AI where it helps, connected to the systems you have.
AI integration consulting
We find where AI fits in your stack and plan how to add it.
What you get:
- Stack and data audit
- Use case and model selection
- Security and compliance review
- Phased integration plan
Generative AI integration
Generative AI features inside your apps and tools.
What you get:
- Text generation
- Summarization
- Message and reply drafts
- Translation
AI workflow automation
AI that handles repetitive steps across your workflows.
What you get:
- Ticket tagging and routing
- Exception handling
- Data-entry triggers
- Cross-team workflows
Document and image AI
AI that reads documents and images, and turns them into data.
What you get:
- Invoice and form extraction
- Document classification
- Image recognition
- Quality checks
Recommendation engines
Hyper-personalized recommendations built into your product.
What you get:
- Personalized product suggestions
- Next-best offers and upsells
- Personalized content
- Customer intelligence
Enterprise AI integration
AI that scales securely inside your infrastructure.
What you get:
- Private cloud or on-prem models
- Role-based access and audit logs
- High-volume architecture
- Cost and performance monitoring
What AI integration changes
AI features ship without rewriting your core systems.
Your team gets AI inside the tools they already use.
Costs, access, and data stay under your control.
How we integrate AI
Audit your stack
We review your systems, data, and goals to find where AI adds value.
Plan the integration
We choose the models and design how AI connects to your systems.
Build and connect
We build the AI features and connect them through APIs and middleware.
Launch and optimize
We roll out, monitor results and costs, and keep improving.
AI integration questions
What is AI integration?
Adding AI capabilities, like generative AI, automation, or recommendations, to the software and workflows you already use.
Can you add AI without rewriting our systems?
Yes. We connect AI through APIs and middleware, so your core systems keep running as they are.
How do you keep our data secure?
We can run models in your own cloud or on-premises, with role-based access, audit logs, and data masking.
How long does AI integration take?
A focused feature can be ready in weeks. Enterprise-wide integration takes longer, delivered in phases.
What's included?
Consulting, design, development, integration, testing, deployment, and ongoing optimization.
Ready to add AI to your software?
Tell us what you run today, and we'll show you where AI fits.
