AI & Agentic AI
AI integration into the systems that run your business
Embedding models and agents into ServiceNow, Dynamics 365, Salesforce, SAP and your own applications — safely and reversibly.

This is where most AI value is realised and where most AI projects fail. A model in a notebook is an experiment; a model wired into a system of record, respecting its permissions, transactions and audit requirements, is a capability.
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Our enterprise platform experience is what makes this practical. We have worked with the platforms your processes already run on, so integration is a known engineering problem rather than a discovery exercise.
Every integration ships with a fallback. If the model is unavailable, slow or unsure, the process must still complete — degraded, but never stuck.
What you get
- AI available at the point of work inside existing systems
- Central control over model access, cost and data
- A defined fallback path when models fail
What's included
Enterprise platform integration
API and service integration
Model gateway and routing
Identity, permissions and audit
Data protection
Fallback and degradation
Where this applies
- A successful pilot that cannot reach production because integration is unsolved
- AI features needed inside a platform your teams already work in
- Several teams calling model APIs directly with no central control or cost view
- Data residency or privacy requirements that rule out the default approach
Technologies
- ServiceNow
- Microsoft Dynamics 365
- Salesforce
- SAP S/4HANA
- Azure
- AWS
- FastAPI
- Kubernetes
Related capabilities
Ready to talk about AI & LLM Integration?
Tell us about the process or problem, and we'll tell you plainly whether this is the right starting point.
Or reach us directly at info@ontogenesistechnologies.com · +91-9999101853
