Voice Bots

Voice Bots

Answer every call and make the ones that matter. Voice AI agents that understand natural speech on your phone lines and voice enabled devices, for inbound calls and proactive outbound calling campaigns.

Inbound & outbound
Natural speech
Phone integration
Real time processing

What are voice bots?

Voice bots are AI agents that talk with your customers in natural speech. They combine speech recognition, natural language processing, and text to speech into one humanlike conversation.

Blits.ai voice bots keep context, handle interruptions, and respond in real time. Put them to work in customer service, sales, and support, on phone systems and voice enabled devices.

Now with outbound calling

Inbound and outbound voice

The same voice agent answers your incoming calls and reaches out first. Launch outbound calling campaigns that dial your contacts, qualify leads in a natural conversation, and hand the warm ones to your team.

Calling campaigns

Upload a contact list, set the calling window, and let the dialer pace, retry, and report progress automatically.

Lead qualification

Qualify each lead in the conversation, capture structured outcomes, transfer to a human, or schedule a callback.

Compliance built in

A spoken AI disclosure on every call, instant opt out and suppression, calling windows, attempt caps, and a full audit trail.

Your telephony

Call through Twilio, or connect your own telephony over SIP (Cisco and any SIP capable system) so no third party sits in your call path.

Voice agent use cases, and how we build them with Blits.ai Voice Bots

Six use cases that organizations already run in production with voice agents: what each one does, how we build it with Blits.ai Voice Bots, and what it can be worth for an organization of a given size.

First line contact center

An AI first line contact center agent answers inbound customer contact on phone, chat and messaging, resolving general and routine questions end to end in the customer's own language. It routes everything complex, sensitive or regulated to the right human team, with the context attached.

USD 900,000 to USD 3.8 million
Human handled contact cost avoided, per year. Reference: A retail bank contact center that receives 2 million contacts a year across phone and chat.

Containment rate: median 50%, reported by 13 public deployments.

How we build it on Blits.ai

On Blits.ai this is an AI agent grounded in a knowledge base with hybrid retrieval over the organization's approved content, with flows for journeys that must follow fixed steps and custom functions for read only lookups such as request or case status. Language detection and multi language content let one agent serve customers in their own language.

The same agent runs on voice (streaming speech recognition and synthesis, DTMF, call transfer), web chat, WhatsApp, SMS and Facebook Messenger, and inside the organization's own app through the API channel. Human handover passes the conversation transcript to a live agent platform (Salesforce, Freshdesk or Zoho SalesIQ) or transfers the call on voice, and supervisors can monitor and take over live, including on calls.

Guardrails check input and output, PII masking runs at the gateway, test suites hold multi turn conversation sets built from real transcripts that you run before each change goes live, monitors check key journeys on a schedule, and analytics show interactions, satisfaction, sentiment and top intents, with conversation logs to review every handover. The platform is model agnostic.

Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises.

See the 53 public deployments

Account and card servicing

An AI account and card servicing agent is an AI agent that resolves routine banking account and card requests for customers, end to end. It handles things like balances, statements, card blocks and replacements, PIN resets and limit changes, across app, web, messaging and phone, and hands anything sensitive or unusual to a human with the full context.

USD 720,000 to USD 8.6 million
Human handled contact cost avoided, per year. Reference: A retail bank with 1 million digitally active customers.

Containment rate: median 85%, reported by 3 public deployments.

How we build it on Blits.ai

On Blits.ai this is an AI agent with a small set of custom functions that call the bank's servicing APIs as REST calls, each scoped to one action, combined with a knowledge base that holds only approved product and fee content, retrieved with hybrid search. Regulated journeys such as a card block follow a flow with deterministic steps that calls the bank's own step up authentication through a custom function; open questions go to the agent.

The same agent serves web chat, WhatsApp, SMS and voice, and the bank's mobile app through the REST or WebSocket API channel, with streaming speech recognition and synthesis on the phone. Guardrails check input and output, PII masking and card number tokenization happen at the gateway before text reaches a model, and human handover passes the conversation to a live agent platform such as Salesforce, Freshdesk or Zoho SalesIQ, with the history (optionally summarized by AI) retrieved in the flow. Test suites run multi turn conversations per intent on every change, and analytics show interactions, top intents and satisfaction. The platform is model agnostic, so the bank can choose or switch the underlying model per agent.

See the 11 public deployments

First notice of loss agent

A first notice of loss agent is an AI agent that takes the first notice of loss from a policyholder by phone, chat or app. It identifies the policy, collects the facts of the incident and the evidence the claim type needs, opens the claim in the claims system, tells the customer what happens next, and hands complex, injured or vulnerable claimants to a human handler.

USD 315,000 to USD 2.5 million
Handler time avoided at first notice of loss, per year. Reference: A motor and home insurer that receives 300,000 claims a year.
How we build it on Blits.ai

On Blits.ai this is an AI agent on the voice channel (real time streaming speech recognition and synthesis over telephony, with DTMF input) and on web chat and WhatsApp, with the insurer's own app connected through the API channel. A flow holds the intake schema per claim type, using ask question, slot filling and receive attachment blocks for the facts, photos and documents. Custom functions call the policy system to match the policy and the claims system to open the claim and return the claim number.

Guardrails block statements about cover, PII masking with configurable patterns keeps identifiers such as policy numbers, contact and payment details out of model prompts and logs, and human handover escalates to a claims handler through automatic rules, with live takeover also on voice calls. Test suites run sets of multi turn intake conversations for every claim type on each change, monitors run scheduled checks against the agent, and analytics show interactions and satisfaction per bot. The platform is model agnostic. Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises to meet data residency requirements.

See the 7 public deployments

Patient scheduling and reminders

An AI agent for patient scheduling and reminders books, moves and cancels patient appointments by phone and messaging, and reminds and confirms patients. It follows the provider's scheduling rules (referral, triage level, clinician and visit type, preparation), confirms and reminds patients in two way conversations, predicts who is likely to miss an appointment, and offers freed slots to patients on the waiting list. Unlike a general branch and appointment booking agent, it writes into the electronic health record and must respect clinical constraints, so anything clinical goes to staff.

EUR 432,000 to EUR 2.4 million
Value of clinical time recovered from avoided or backfilled missed appointments, per year. Reference: A hospital with 600,000 outpatient appointments a year.
How we build it on Blits.ai

On Blits.ai this is an AI agent with custom functions that read slots and write bookings, cancellations and waiting list offers in the scheduling system over REST, so the scheduling rules live in tools the agent must call. A flow handles identity checks and the fixed parts of a booking with show options for slots, while the agent handles free requests such as "can I move my Tuesday appointment to an evening". Reminder runs and slot backfill are agentic workflows triggered on a schedule or by an API call from the hospital systems, with human in the loop approval where a service wants staff to confirm.

The same agent runs on voice, SMS, WhatsApp, web chat and, through the API channel, in the provider's own app, in the patient's language. Guardrails block clinical advice, PII masking at the gateway masks identifiers such as phone numbers and, with custom patterns, patient numbers, and human handover passes symptoms and complex cases to patient access staff. Test suites replay booking conversations for every visit type on each change. Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises to keep patient data in region.

See the 9 public deployments

Inbound lead qualification

An inbound lead qualification agent is an AI agent that engages inbound prospects the moment they arrive, qualifies them and books a meeting or hands them to the right salesperson. It works on the website, chat, messaging or the sales phone line, answers their first questions, qualifies against the organization's criteria, and writes the conversation context into the CRM so the salesperson receives a ready conversation.

USD 150,000 to USD 1.8 million
Additional first year revenue from better inbound conversion, per year. Reference: A B2B software company with 20,000 inbound leads a year.
How we build it on Blits.ai

On Blits.ai this is an AI agent with a knowledge base of approved product and pricing content, retrieved with hybrid search, and the ready made HubSpot, Microsoft Dynamics 365 or Zoho tools (or custom functions for another CRM such as Salesforce) to look up accounts, create leads and log the conversation. Qualification questions and routing rules can run in a flow with deterministic conditions, while the agent handles the open conversation; booking a meeting is a function call to the calendar.

The agent runs on web chat (with proactive popup messages), WhatsApp, email and voice, where it can transfer a live call to a rep. Guardrails block prompt injection by default, and an input and output policy you write can stop commitments on price; PII masking protects contact data, and the GDPR toolkit handles consent messages and data removal. Human handover brings a rep into the conversation, and a flow can send an AI summarized conversation history to the sales team. Test suites replay qualification scenarios on every change, and analytics show interactions, satisfaction and sentiment. The platform is model agnostic.

See the 8 public deployments

Citizen information assistant

A citizen information assistant is an AI assistant that answers residents' and businesses' questions about government services in plain language, grounded only in official guidance with links to the source. It points them to the right online service or office, and hands anything personal, urgent or outside its content to a human with the context attached.

USD 480,000 to USD 3.2 million
Human handled contact cost avoided, per year. Reference: A national agency that receives 2 million phone and chat contacts a year.
How we build it on Blits.ai

On Blits.ai this is an AI agent grounded in a knowledge base that holds only official guidance, ingested from documents and crawled websites that can be recrawled, and retrieved with hybrid search, so every answer can cite its source. Guardrails check input and output, the platform default blocks prompt injection, and PII masking at the gateway removes personal data before text reaches a model. Fixed journeys such as "which office do I need" run as a flow, with language detection and translation blocks for multilingual service.

The same agent serves web chat, WhatsApp and voice, reaches a mobile app through the REST or WebSocket API channel, and human handover passes the conversation to the contact center. Test suites replay real questions with ideal answers on every content or model change, monitors check live answers on a schedule, and analytics break down untrained questions and unexpected answers. The platform is model agnostic. Run Blits.ai in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises, which matters for public sector hosting rules.

See the 29 public deployments

What organizations achieve with voice agents

Across 283 public voice agent deployments at 270 organizations in 54 countries, these are the results they report.

52%

Containment rate

median across 29 public deployments

88.9%

Customer satisfaction

median across 9 public deployments

86.5%

Accuracy

median across 8 public deployments

Figures are reported by the organizations themselves or their technology vendors and checked in the Blits.ai AI Use Case Library, where each use case page lists the organizations and sources. Explore all 39 use cases in the AI Use Case Library.

What matters when a voice agent answers your phone

A caller judges your organization by how the call goes. These are the questions contact center, compliance and IT teams ask before a voice agent goes live, and how Blits.ai answers them.

Regulations these use cases are mapped to in our AI Use Case Library

Short pauses and natural turn taking

Callers expect a quick reply and expect to be heard when they cut in. Blits.ai Voice Bots use streaming speech recognition and synthesis over telephony to keep the pause between turns short, and a caller can talk over the agent and still be understood. DTMF input covers numbers a caller would rather key in.

Accents and dialects, Arabic included

A voice agent has to understand the way your callers actually speak. Language detection lets one agent answer each caller in their own language, across many languages including Arabic and its dialects. The platform is model agnostic, so you choose the speech recognition and the voice per language and test them on real conversations first.

Call logs, consent and personal data

Every call is kept as a conversation log with an audit trail, so you can review what the agent said and why. PII masking at the gateway keeps account and policy numbers out of model prompts and logs, the GDPR toolkit handles consent messages and data removal, and data stays in our cloud in the EU, Qatar, Singapore, the UAE, the US or Australia, in your private cloud, or fully on premises.

Handover with the call, not a callback

When a call needs a person, the agent transfers it to a live agent with the transcript, or passes the conversation to your live agent platform. Supervisors can monitor calls and take over live. Complaints, vulnerable callers and questions outside approved knowledge go to your team instead of getting a guess.

Outbound calling rules

Outbound calls fall under consent rules such as the TCPA in the United States and GDPR in Europe. Blits.ai Voice Bots open each call with a spoken AI disclosure, honor an opt out at once with suppression, and keep to calling windows and attempt caps. Every attempt lands in the audit trail, ready for review.

Tested before every change, watched after

Test suites built from real call transcripts replay multi turn conversations before each change goes live, so a new prompt, model or voice does not break a journey that works. Monitors check key journeys on a schedule, and analytics show interactions, satisfaction, sentiment and top intents for every voice agent.

Why teams choose Blits.ai for voice bots

Lower costs, faster answers, and callers who hang up satisfied

24/7 voice support

Answer every call instantly, day or night, and handle customer inquiries and support requests without an agent on the line.

Lower call center costs

Voice agents handle routine calls automatically, so your agents focus on complex issues and your call center costs go down.

Better caller experience

Personal, natural conversations that feel human, so customer satisfaction and engagement go up.

Scale without limits

Take thousands of simultaneous calls with no additional infrastructure. Capacity scales automatically with demand.

Multilingual support

Serve callers in their own language with native level pronunciation and cultural fluency, Arabic dialects included.

Real time analytics

Watch call quality, customer satisfaction, and conversation outcomes as they happen, and keep improving every flow.

Built for the enterprise from day one

Voice AI, enterprise security, and a delivery team in one partner, so your voice agents go live in weeks

Your choice of speech engines

Speech recognition and synthesis from the providers you choose, across multiple languages, accents, and emotional tones.

Conversation management

Keeps context, handles interruptions, and manages the flow of every call, so each conversation sounds natural and human.

Works with your phone system

Connect your existing phone systems, IVR, and VoIP platforms without disrupting your infrastructure or workflows.

Real time analytics

Call analytics, sentiment analysis, and performance metrics that show you where to improve each call and lift customer satisfaction.

Enterprise security

End to end encryption and secure voice data handling, on a platform that is ISO 27001, ISO 42001, SOC 2 Type II and PCI DSS Level 1 certified, GDPR compliant.

Professional services

Our team handles implementation, training, and ongoing support, from your first live call to full scale.

How we get you live

From phone integration to full production in four phases, with one team accountable throughout

1

Integration & setup

Phone system integration, voice bot configuration, and initial testing

2 to 3

Training & optimization

Voice model training, conversation flow optimization, and performance tuning

4

Pilot testing

Limited rollout, user feedback collection, and system refinement

5 to 6

Full deployment

Production launch, team training, and ongoing monitoring setup

Average deployment time: 4 to 6 weeks

How we deliver it

You buy a working use case, not a license to build one. The Blits.ai team takes it from workshop to production and runs it for as long as it is live.

  1. 1

    Workshop

    Optional: one or two days to refine the use case, with its value and risk tier.

  2. 2

    Demo

    A working demo of your use case on the platform, before you commit.

  3. 3

    Build and integrate

    We build it on the platform and connect it to your systems and your own app.

  4. 4

    Deploy

    In our managed cloud, your private cloud, on premises or air gapped. Live in weeks.

  5. 5

    Run and improve

    Support, monitoring and model updates for as long as it is live.

Blits.ai is the enterprise AI platform and the team that delivers on it: we refine the use case with you in a workshop, build and integrate it with your systems and apps, deploy it in the cloud or on premises, and run and improve it for as long as it is live.

How we work

Your use case, live in weeks.

Pick the call flow that costs you the most today, and we will show you a voice agent handling it in a live demo.

Frequently asked questions

The numbers behind the shift

Market context, with sources. The opportunity is real, and so is the risk of getting it wrong.

two thirds
of all customer service chats handled by Klarna's AI assistant in its first month, doing the work of 700 agents
Source: Klarna
3B+
client interactions handled by Bank of America's Erica assistant since 2018, now around 58 million a month
Source: Bank of America newsroom
95%
of enterprise generative AI pilots deliver no measurable impact on the P&L, so execution and the right use case matter more than the model
Source: MIT report (via Fortune)