Voice Assistants in Business

Voice assistants are long past "Alexa, play music." In enterprise contexts, they automate workflows, answer customer inquiries, and enable hands-free interaction in environments where screens are impractical — warehouses, production floors, vehicles, operating rooms.

Alexa for Business & Enterprise Assistants

The Enterprise Market 2026

After the end of Alexa for Business (2024), specialized providers have taken over the market:

Custom voice assistants: Company-specific assistants built on LLMs
Microsoft Copilot Voice: Voice control for Microsoft 365 and Teams
Google Workspace Voice: Voice commands for Docs, Sheets, Calendar
Industry-specific solutions: Healthcare (Nuance DAX), logistics (Voicepoint), automotive (Cerence)

Architecture of a Business Voice Assistant

A modern voice assistant consists of:

Wake word / activation: "Hey Assistant" or button activation
ASR (Automatic Speech Recognition): Speech → text (Whisper, Deepgram, Azure Speech)
NLU (Natural Language Understanding): Extract intent + entities
Dialog management: Maintain context, ask follow-ups, multi-turn conversations
Business logic: API calls, database queries, workflow triggers
TTS (Text-to-Speech): Text → natural speech (ElevenLabs, Azure TTS, Google TTS)
Response: Audio output to the user

Custom Voice Bots

When a Custom Bot Makes Sense

Frequent, standardized inquiries: Order status, delivery dates, account balances
Hands-free environments: Warehouses, production, vehicles
After-hours support: Customer service outside business hours
Internal assistance: IT helpdesk, HR FAQ, facility management

Technology Stack

For a custom voice bot you need:

Component	Options	Cost
ASR	Whisper (open source), Deepgram, Azure Speech	€0.004–0.02/min
LLM	GPT-4o, Claude, Gemini, open source (Llama)	€0.01–0.10/query
TTS	ElevenLabs, Azure TTS, PlayHT	€0.01–0.05/min
Orchestration	Voiceflow, Retell, VAPI, custom	€0–2,000/month
Telephony	Twilio, Vonage, SIP provider	€0.01–0.05/min

Case Study: Customer Service Bot

An e-commerce company implements a voice bot for incoming calls:

Before: 12 agents, wait time 4 min, 70% first-call resolution
After: Voice bot handles 45% of calls completely, wait time 0 min, agents for complex cases
ROI: €180,000/year savings on €60,000 investment

Use Cases by Industry

Healthcare

Clinical documentation: Doctor dictates, AI documents structured data in patient record
Patient hotline: Appointment booking, test results, medication reminders
Care assistance: Voice-controlled documentation at the bedside

Logistics & Warehousing

Pick-by-voice: Voice-guided order picking (30% faster than lists)
Inventory queries: "How many units of article 4711 are in stock?"
Damage reporting: Voice-controlled documentation of transport damage

Financial Services

Balance & transactions: Voice-based inquiry via phone
Authentication: Voice biometrics as second factor
Advisory appointments: Automatic booking with the right advisor

Real Estate

Property information: "Tell me more about the 3-room apartment on Main Street"
Viewing appointments: Automatic scheduling
FAQ bot: Tenancy law, utility bills, notice periods

Trend 2026: The boundary between chat and voice bots is blurring. Modern platforms offer omnichannel bots that can respond to text, voice, and video simultaneously.