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Services

Services engineered like products

From voice agents to agentic orchestration spanning WhatsApp, web, kiosk, or call centers—we pair pragmatic delivery with guardrails your risk team appreciates.

Agentic AI systems

Goal-directed agents with tool use, retries, approvals, and policy gates—built for messy enterprise reality, not demos.

Brief us on Agentic AI systems
Voice AI agents

Production voice stacks: latency-aware ASR ↔ LLM ↔ TTS (or realtime speech APIs), barge-in handling, silence detection, multilingual.

Brief us on Voice AI agents
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AI Integration

Thread models into ERPs, POS, data warehouses, and notification layers—with MCP-style tooling where it accelerates interoperability.

Brief us on AI Integration
Custom AI Solutions

Domain-specific assistants trained on proprietary knowledge with human-in-loop reviews.

Brief us on Custom AI Solutions
Multimodal conversational AI

Text, voice notes, receipts, imagery—assistants grounded in retrieval, tools, evals, and brand tone—not brittle keyword trees.

Brief us on Multimodal conversational AI
Business Automation

End-to-end workflow orchestration with observability—not brittle macro scripts.

Brief us on Business Automation
WhatsApp AI Systems

Template strategies, failover routing, handset analytics, and revenue attribution.

Brief us on WhatsApp AI Systems
AI Product Development

From PRD workshops to QA harnesses—we ship AI products meant to stay in market.

Brief us on AI Product Development
API Integrations

Typed SDKs and partner-ready webhooks engineered for versioning and deprecation paths.

Brief us on API Integrations
Workflow Automation

Connect ops teams with conversational triggers that respect SLAs and escalations.

Brief us on Workflow Automation
Delivery model

Strike teams, embedded PMs, and transparent burn-down metrics

Engagements begin with jointly owned success metrics—not vanity demos. Omnexis documents failure modes upfront, staffs a cross-functional squad, and checkpoints with leadership weekly so nobody is surprised downstream.

Typical timelines
Greenfield assistant
6–10 weeks
Integration layer
3–6 weeks
Enterprise expansion
ongoing
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