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AI Voice Agents for Customer Service

AI Voice Agents
for Customer Service.

Resolve calls. Not just route them.Peaks and after-hours, covered.Warm handoff with full context.Built on your CRM and phone stack.
Custom Starting price
Customer Service Voice AI

Custom voice agents that resolve repeat questions by calling your own systems, scale with call volume, and transfer to a human with the transcript when the caller needs one.

Building software since 2015 AI speed. Production-grade rigor.
Inbound and Outbound Calls Wired Into Your CRM Human Handoff With Transcript Clutch 4.9 (55 Reviews)

Rated 4.9 on Clutch from 55 verified reviews.

Trusted by 200+ companies worldwide

Use cases

Where voice AI lightens your support load

Most support phone volume is a short list of repeat questions. These are the situations where a voice agent pays back first.

Order status and changes

The call is answered from your order system, not read from a script.

Peak-hour overflow

Spikes are answered at once instead of stacking up in the queue.

Returns and scheduling

Books the slot and confirms it in the same call.

After-hours coverage

Nights and weekends get an answer, not voicemail.

Smart escalation

When a person is needed, they get the full context.

Illustrative examples, not client data.

Get a voice AI quote →

The Voice AI Difference

What an AI Voice Agent Does

An AI voice agent for customer service picks up inbound calls, understands what the caller wants, and resolves it by acting in your CRM, order or ticketing system: order status, changes, account questions, scheduling and returns. Anything it cannot close goes to a person with the transcript attached. Groovy Web builds these on your stack. Request a quote or see our AI voice agent development service.

STT + LLM + TTS
The real-time voice pipeline
Your Systems
Wired into your CRM, calendar and APIs
Measured
Real calls scored before launch
Build Options

Voice Platform vs Custom-Built Agent

Platform only (Vapi, Retell and similar)
Custom build by Groovy Web
01 Time to first call
Days for a basic pilot
Weeks for a production agent on your stack
02 Cost model
Platform fee plus pass-through model and telephony costs
Component rates, no platform margin on every minute
03 Integrations
Webhooks and tool calls you wire up yourself
Built and tested against your systems of record
04 Recording and disclosure
Platform defaults, limited control over consent wording
Consent and AI-disclosure flows built to your state and country rules
05 Quality control
Dashboards you configure and read
Evals on real calls and a tuning loop after launch
06 Ownership
Vendor-hosted prompts and flows
You own the code, prompts and call data
Your Code You Own It
Your Stack Telephony, CRM, Cloud
No Lock-In Platform or Custom
What You Get

What Every Voice Agent Build Includes

01

Intent and resolution flows

The repeat calls that fill your queue (status, returns, billing, resets) resolved end to end, not just routed.

02

CRM and helpdesk integration

Order, account and ticket lookups in Salesforce, Zendesk, HubSpot or your own APIs, with notes written back.

03

Warm transfer with context

When a human is needed, the agent hands over the caller identity, the issue and what was already tried.

04

Peak and after-hours cover

The same agent answers during spikes and outside staffed hours, in the languages your callers use.

05

Evals on real calls

Sampled calls scored for resolution, tone and policy, so you see where the agent still falls short.

06

Analytics and tuning

Containment, handoff reasons and drop-off points tracked so each release fixes a measured gap.

Compliance and trust

Keeping a service voice agent safe to run

Customers will forgive a handoff. They will not forgive a recorded call they did not agree to or a card number read aloud.

In the US, the FCC ruled that AI-generated voices count as artificial voices under the TCPA, so outbound AI calls need the same prior consent as other prerecorded calls. Rules differ by state and use case, so we scope consent, disclosure and recording with your counsel.

Talk to us about compliance →
01

Consent and disclosure

Outbound AI calls need prior consent in the US, and callers should know they are speaking with an AI.

How we handle it
  • Consent capture and opt-out handling built in
  • Clear AI disclosure at the start of the call
  • Flows scoped with your counsel
02

Recording and payments

Call-recording consent rules differ by state, and card data must not end up in transcripts.

How we handle it
  • Recording notice and consent logic per region
  • Card entry kept out of recordings and logs
  • Retention rules you control
03

Escalation

A caller who is stuck or upset needs a person quickly, not another loop.

How we handle it
  • Human on request, always
  • Frustration and low-confidence triggers for transfer
  • Context passed so the caller never repeats themselves
Our Process

How AI Agent Teams Deliver Your Project

01

Discovery & Strategy

AI agents analyze requirements and market data to build a precise blueprint.

1-3 Days
02

Architecture & Design

AI-first system design with UI/UX prototypes and technical planning.

3-5 Days
03

AI Sprint Build

6 AI specialists work in parallel at 10-20X velocity with continuous integration.

1-4 Weeks
04

QA & Launch

Automated testing validates every component. Zero-downtime deployment from day one.

2-3 Days
05

Iterate & Scale

AI agents monitor, optimize, and ship improvements. Evolve faster than competition.

Ongoing
Low-Risk Start

Your Investment is Protected

Every engagement comes with built-in protections so you can hire with confidence.

01

100% IP Ownership

Every line of code, every prompt and all call data belong to you. Full NDA signed on day one.

02

Milestone-Based Payment

Pay for results, not hours. Payments tied to clear deliverables you approve at each stage.

03

Cancel Anytime

No 12-month lock-ins. No penalties. Month-to-month flexibility after your initial sprint.

Voice AI Solutions We Build

Voice AI Agents We Build for Customer Service Teams

Three solution designs from real support scenarios, each scoped from first call to handoff.

Retail and e-commerce

Order status, returns and exchanges line

Project scope

Inbound calls about where an order is, how to return it and how to swap it. The agent answers from your order system and closes the call, or hands it to a person with the transcript attached.

What buyers ask for
  • Answers around the clock, with no hold queue
  • Live order and carrier lookups, not scripted replies
  • Return label sent by SMS during the call
  • A clear handoff for anything it should not decide
How the voice agent solves it
  1. Detect the intent: status, return or exchange
  2. Verify the caller, then look up the order and carrier tracking
  3. Confirm the answer and text the tracking or return label
  4. Escalate edge cases to a person with the transcript
Order systemCarrier trackingSMSCRMHelpdesk
Plan this voice agent →
Subscriptions, utilities and fintech

Billing questions and payment collection

Project scope

Calls about balances, due dates, payment plans and reminders. Payment moves to a secure channel, so card data never passes through the conversation or the transcript.

What buyers ask for
  • PCI-safe payment, with no card numbers read aloud
  • Consent and required disclosures said on every call
  • Tone and policy rules that you control
  • A human fallback for disputes and hardship cases
How the voice agent solves it
  1. Verify the account holder, then read out the balance and due date
  2. Say the required disclosure and record consent
  3. Hand payment to a tokenised secure link or keypad step
  4. Log the outcome and escalate disputes with the transcript
Billing systemPayment gatewaySMSCRMCompliance log
Plan this voice agent →
SaaS and B2B support

After-hours and overflow support desk

Project scope

Tier-1 coverage for nights, weekends and peak hours. Each call becomes a ticket with context, priority and a summary, ready for the team's next shift.

What buyers ask for
  • A ticket created with full context from every call
  • Priority routing that follows your rules
  • Answers from your knowledge base, with sources cited
  • A warm handoff to the team the next morning
How the voice agent solves it
  1. Triage the issue and capture account, product and impact
  2. Retrieve the answer from your knowledge base and cite the article
  3. Create the ticket with priority, summary and transcript attached
  4. Route it to the right queue and flag urgent cases to on-call
TicketingKnowledge baseCRMOn-call alertsSMS
Plan this voice agent →
How We Work With You

AI-First Engagement Models

01

Voice AI Architecture Review

Strategic guidance before you build.

A senior architect reviews your call volume, stack and compliance needs, then recommends platform, custom or hybrid with the trade-offs spelled out.

Best for:
  • Build vs buy decisions
  • Vendor and BAA evaluation
  • Latency and cost planning
  • Audits of an existing voice agent
Custom quote
Short engagement
03

Embedded AI-First Team

Your team, AI-augmented. Full-time or part-time.

Engineers who build voice agents join your team, expand call coverage flow by flow and keep tuning against evals on real calls.

Best for:
  • Several call flows and integrations
  • Ongoing tuning and new languages
  • Teams adding voice to an existing product
  • Long-term partnerships
Custom quote
Monthly
FAQ

FAQ: AI Voice Agents for Customer Service

An IVR forces callers through menus, and a chatbot works in text. A voice agent holds a natural spoken conversation, handles interruptions, and completes tasks in your systems while the caller is on the line, so fewer calls need a human.
Start with high-volume, rule-bound intents such as order status, appointment changes, account lookups and FAQs. We rank your call reasons by volume and risk, launch the safest intents first, and widen coverage as the agent proves itself in production. Each release is reviewed against real call outcomes.
When the caller asks for a person, shows frustration, or the agent is not confident, it transfers the call with a summary and transcript so the caller does not repeat themselves. The transfer rules are yours to set, and you can route by queue, skill, language or time of day.
CRMs, helpdesks, order and billing systems, calendars and telephony such as Twilio or SIP trunks, through their APIs. We confirm integration points during discovery because they decide what the agent can resolve without a human. Where a system has no API, we can often work through a vendor integration or a small middleware layer.
The agent is grounded on your approved knowledge base and live system data instead of free-form generation, and we test it on recorded real calls before launch. After launch every call is transcribed and scored, so drift shows up in review rather than in complaints.
It depends on call volume, number of integrations, languages and compliance scope. Our AI voice agent development cost guide breaks down the drivers, and a quote after discovery fixes the number for your case. Most teams start with a fixed-scope pilot on one call flow before committing to a wider rollout.

Ready to Build a Customer Service Voice Agent?

Share your top call reasons and systems. We come back with an approach, rollout order and a quote.

Get a Voice AI Quote →

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