AI Services - Generative AI
Beyond the chatbot. Generative AI for enterprise results.
Custom LLM and SLM solutions tuned to your data, workflows, and compliance requirements.
Everyone has ChatGPT. Nobody has enterprise-grade generative AI.
Enterprise generative AI must be accurate, grounded in your data, secure against leakage, and integrated into real workflows. That is what we build.
Six generative AI capabilities for the enterprise.
Custom LLM & SLM Deployments
Right-sized model strategy for reasoning depth, speed, and cost efficiency.
RAG Pipelines
Hybrid retrieval, metadata filters, re-ranking, and citation-grounded responses.
Enterprise Copilots
Workflow-embedded assistants for development, legal, finance, and operations teams.
Knowledge Retrieval Systems
Natural-language retrieval across docs, wikis, chats, and internal knowledge stores.
Prompt Engineering Frameworks
Template libraries, guardrails, validation, and versioned prompt lifecycle management.
Now Assist Configuration
ServiceNow-native generative AI tuned to your processes, language, and data context.
Production generative AI is an architecture problem, not just a model problem.
Data Layer
Ingestion, document processing, embedding pipelines, and vector storage architecture.
Retrieval Layer
Semantic + keyword retrieval, access enforcement, and dynamic re-ranking.
Generation Layer
Model selection, prompt control, output validation, and hallucination guardrails.
Integration + Observability
APIs/connectors plus latency, accuracy, and cost optimization monitoring.
Engagement Details
Typical timeline
8-16 weeks (kickoff to production)
Delivery model
Fixed-fee or milestone-based
Team composition
AI architect + ML engineers + data engineer + integration specialist
Post-deployment
Optional managed services for monitoring and retraining