SoftBCom Voice Agents

Handle complex customer calls end‑to‑end — from conversation to action

LLM-powered voice agents that understand complex requests, execute real business processes and capture structured outcomes

Designed for organizations with high request volumes — e.g. healthcare providers, service companies, and public institutions.

Typical use cases

  • Appointment scheduling
  • Structured intake and execution of service requests
  • Order status, changes, and delivery coordination
  • Account and billing inquiries (charges, disputes, balances)
  • Dispatching and task allocation based on structured input
  • Initial qualification (e.g. candidates, requests)
  • Exception handling and service recovery (defects, delays, corrections)
LLM-powered voice agents
What makes us different

Free-form conversations — with structured outcomes

  • The agent handles natural, multi-intent requests and turns them into structured, actionable data — regardless of how the customer phrases them.
  • No predefined flows — each request is interpreted and resolved dynamically.

Example (Healthcare):

A patient calls and says:

“I have severe ear pain, I need to see a doctor today, but I can only come in the evening.”

The agent will:
  • interpret symptoms and urgency
  • determine appropriate care options (e.g. general practitioner vs. specialist)
  • check availability based on constraints (time, urgency)
  • suggest suitable appointments
  • capture all relevant details in structured form

Example (Retail / Delivery):

A customer calls and says:

"My order is coming tomorrow, but I won’t be home. Can you deliver it to a different address or maybe later in the evening?"

The agent will:
  • identify the order and its current delivery status
  • validate the new address
  • check available delivery options (rescheduling, rerouting, pickup points)
  • suggest feasible alternatives
  • update the delivery details and confirm the change
Our approach

Outcome-driven interaction

We design voice agents around one principle: every interaction must lead to a defined structured outcome.

1. Beyond speech recognition: process execution
This is not about understanding speech — it’s about completing tasks.
The agent:
  • interprets context (e.g. urgency, constraints, existing data)
  • handles incomplete and multi-intent input
  • avoids redundant questions
  • uses system data (e.g. calendars, records in back-end BDs, etc.)

Reliable process execution — not perfect transcription

2. Outcome-first execution
Each interaction is driven to completion:
  • appointments are booked
  • requests are fully captured
  • issues are resolved or correctly routed

No open-ended conversations

No partially completed processes

If needed, seamlessly escalated — with full context and structured data

3. Natural, multi-intent interaction
Customers speak naturally — even in complex situations:
  • multiple intents in a single request
  • missing information is clarified dynamically
  • no predefined dialog paths

The agent adapts to the user — not the other way around

4. Controlled and structured processing
Flexible interaction does not mean loss of control:
  • all relevant data is captured in structured form
  • outputs are consistent and system-ready
  • results are reproducible

LLM-driven — but governed

How it works

Slide right
1-2

Configure your use case

  • start with pre-built templates
  • configure data, rules, and logic
  • integrate with your systems (e.g. calendars, telephony, CRM)

No development required for standard scenarios

Templates can be quickly adapted to your specific processes:
  • configuration and extension of existing modules
  • adjustment of logic, data structures, and integrations
  • fast implementation — from hours to days

Not built from scratch — but adapted from proven components

2-2

The agent manages the conversation — not just reacts to it

  • customers speak naturally
  • multi-intent and incomplete input is interpreted
  • missing information is clarified step by step
  • context (e.g. urgency, constraints) is maintained throughout
3-2

Execute actions and complete the process

  • relevant actions are triggered (e.g. booking, updating, routing)
  • structured data is captured and validated
  • results are written directly to your systems via integrations

From understanding to execution

4-2

Handoff when needed

  • transfer to the right person or system
  • all collected data is structured and preserved
  • context and structured data are passed forward for immediate use
  • no repetition for the customer

The process continues — not restarts

5-1

Extend for complex scenarios

For advanced use cases:
  • complex process logic and edge cases
  • multi-step workflows across systems
  • domain-specific rules and data models
  • building on the same underlying templates and components
Optional support from SoftBCom is available to design and implement these advanced workflows when needed.

Scale from standard scenarios to complex operations

What you get

  • completed processes — not conversations
  • structured data ready for your systems (CRM, ticketing, reporting)
  • measurable reduction in manual workload
  • reliable performance in real operations

Designed for real operational environments — not demos


Works with your systems

Connect to your existing tools — no system replacement required

  • calendars (e.g. cal.com)
  • telephony / PBX
  • contact center platforms
  • CRM and backend systems

The agent operates directly within your operational environment:

  • uses real-time data from your systems
  • writes results back into your workflows
  • becomes part of your existing processes — not a separate layer
Additional components (e.g. PBX, contact center, service desk) can be provided if required.

Designed for European requirements

SoftBCom Voice Agents are designed to comply with European data protection requirements (GDPR).
Data protection is built into the system architecture and operational processes.
  • primary data storage and processing within the EU
  • use of EU-based infrastructure wherever technically feasible
  • strict data minimization and controlled data flows
  • structured handling of personal data across all processes
For certain functionalities (e.g. voice processing, speech recognition, LLM-based analysis), selected subprocessors may be involved. In such cases:
  • processing may occur outside the EU
  • appropriate safeguards are applied, including DPAs and Standard Contractual Clauses (SCCs)
  • data exposure is limited to what is strictly necessary

→ A pragmatic, compliant approach — aligned with real-world cloud architectures

For details, see our Trust & Compliance documentation.

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Pricing model

Usage-based pricing — aligned with your operations

Usage is measured in tokens. Different use cases may consume tokens at different rates. Flexible packages: the more you buy, the lower the price per token.
trial

Guided free trial

Start with a live demo and qualification call:

  • discuss your use case and requirements
  • see the system in action
  • get access to a free trial with up to 14 days, full functionality and 400 tokens
  • no credit card required
👉 A structured start — from first conversation to real testing
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Business

Move from evaluation to live use with flexible, usage-based pricing:

  • pay as you go
  • token packs starting at $45
  • from $0.02 per token (volume-based pricing)
  • typical usage from ~5 tokens per minute
  • scale usage up or down as needed
For more advanced use cases, extended configuration and additional support can be included.
👉 Start with a defined use case — and scale as complexity grows
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Enterprise

For large-scale and regulated environments:

  • custom deployment options (EU, on-premise, private cloud)
  • dedicated support and SLAs
  • advanced data residency options
  • custom pricing
See it in action

Start with a short qualification call and live demo for your use case.

  • see how the agent works in practice
  • discuss your processes and requirements with our presales team
  • get access to a free trial if the setup is a fit
👉 From first conversation to real deployment — with the right setup from the start

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