Enterprise AI Capabilities

We design and deliver production-grade AI platforms for enterprise use cases, with secure model orchestration, compliance controls, and integration patterns that fit regulated industries.

LLM Platforms

  • OpenAI for enterprise copilots, summarization, retrieval-augmented workflows, and controlled prompt engineering.
  • Google Gemini for multimodal assistants, document understanding, and large-scale content intelligence.
  • Azure OpenAI for private networking, identity controls, observability, and policy-driven governance.

Voice and Conversational Experience

  • ElevenLabs integration for natural voice experiences in service automation and digital assistants.
  • Text-to-speech and speech-to-text orchestration with event-driven back-end workflows.
  • Secure conversational channels with audit logging and escalation paths for human review.

Healthcare AI on Azure

  • Azure healthcare LLM patterns with PHI-aware controls, content filtering, and role-based access.
  • Clinical document extraction and coding support with traceability and human-in-the-loop approvals.
  • Architecture aligned with healthcare security expectations, retention controls, and governance.

Automation and Orchestration

  • n8n and Workato workflows for AI-triggered business automation, routing, and exception handling.
  • API-first orchestration for model services, knowledge bases, and enterprise application actions.
  • Reusable integration templates for scaling AI operations across teams and domains.

Integration Services for AI

  • Event-driven connectors using Amazon Lambda and Azure Functions for lightweight AI service actions.
  • Hybrid integration with REST, message queues, and secure data contracts across enterprise systems.
  • End-to-end observability with telemetry, error tracking, and runtime performance dashboards.

Governance, Security, and Reliability

  • Model lifecycle governance, testing standards, and risk-aware rollout strategies.
  • Prompt and response controls to reduce hallucinations and enforce enterprise policy requirements.
  • Operational playbooks for monitoring, retraining decisions, and continuous quality management.