Agency · ElevenLabs · AI voice

The ElevenLabs agency.A real voice in production.

ElevenLabs can turn text into lifelike audio and run voice agents, but with no setup it ends up a demo that frustrates real callers. We put its voice to work in your product and support, pick the right model, and build the fallbacks and monitoring that hold under call volume.

★★★★★Verified Trustpilot reviews · AI, automation & growth agency

ActiveCampaignActiveCampaignAdaloAdaloAdCreative.aiAdCreative.aiAhrefAhrefAirtableAirtableAllo (The Mobile First Company)Allo (The Mobile First Company)AnthropicAnthropicApifyApifyApollo.ioApollo.ioAttioAttioAttio Implementation PartnerAttio Implementation PartnerBase44Base44BaserowBaserowBrevoBrevoBright DataBright DataBrowse AIBrowse AIBubbleBubbleCaptainDataCaptainDataChatGPTChatGPTClaudeClaudeClaude CodeClaude CodeClaude CoworkClaude CoworkClaude DesignClaude DesignClayClayClickupClickupCursorCursorDeepSeekDeepSeekDustDustElevenLabsElevenLabsFilloutFilloutFlutterflowFlutterflowFolk CRMFolk CRMFolk Implementation PartnerFolk Implementation PartnerFreepik SpacesFreepik SpacesGammaGammaGeminiGemini
What we do

An ElevenLabs agency puts the voice to work, not just hands you an API key.

Anyone can call the API. Picking the right model, wiring voice into your real stack, and keeping it holding under real call volume is a different job. Here are the four things we own.

Method · 4 stages

We put ElevenLabs to work like production voice, not a demo.

Most voice projects die the same way: a slick demo, no model choice, no fallbacks, then real callers hit dead air or a turn that breaks and the whole thing gets pulled. So we treat it like infrastructure: the right model per use case, wired into your stack, built with fallbacks and monitoring, and handed to a team trained to run it.

  • Audit · map where voice actually helps your product or support, and where it just frustrates
  • Setup · pick the model per use case, wire the API or ElevenAgents, set security safe by default
  • Build · voice agents and in-app audio with latency, fallbacks and testing that hold in production
  • Enable · train your team and set the monitoring so it runs without us
Walk me through the method
Differentiator · no badge

We ship voice that holds in production.

We don't sell a partner tier. We wire ElevenLabs into real stacks, so we build it the way production voice actually works: the right model for the job, fallbacks for the bad turn, monitoring on every live agent. That's exactly what's missing when a build ends at a demo voice.

  • We wire voice into your real stack (telephony, CRM, support), not an isolated demo that breaks on the second turn.
  • We pick the right model for the job: Flash for real-time agents, Turbo when quality wins, measured on your latency, not assumed.
  • Fallbacks and graceful failure by default: voice UX frustrates users fast without careful latency and fallback design, so we build for the bad case first.
  • No partner badge to sell. We're judged on whether the voice experience holds in production and your team can run it after we leave.
Show me a typical build
What we set up

ElevenLabs at the core, your product and support stack around it.

We configure the parts that turn AI voice into a reliable experience, then connect them to how your product and team already work. Here's what a real build covers.

Free audit · 60 minutes

We map where voice helps, you leave with a plan.

Before quoting anything, we take 60 minutes to look at your product, your support flows and where a voice experience would actually move the needle. You leave with an honest read on what ElevenLabs fixes, which model fits each use case, and the security you need. Zero pitch, just a builder's take on your voice use case.

  • An honest read on where voice helps your product or support
  • Flash vs Turbo, and which fits each use case
  • The voice agents and integrations worth building
  • A frank take on where a text flow beats voice
Or send your brief instead
Our approach

How we run an ElevenLabs build.

Five steps, in order. We don't put voice in front of a real caller before latency and fallbacks are wired, we don't ship an agent without monitoring, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.

  1. Step 1 · Voice audit

    Map where voice actually helps, and where it doesn't

    We sit down with your product and support people and look at where voice earns its keep: support calls eating your team, an IVR that loses people, content you can't dub fast enough, accessibility gaps. We're honest that voice UX frustrates users quickly when latency and fallbacks are sloppy, so half the value is telling you where it works and where a text flow is simply better.

  2. Step 2 · Safe setup

    Pick the model and wire it in, secure by default

    We pick the model per use case (Flash v2.5 for real-time, Turbo v2.5 when quality wins), set up the API or ElevenAgents, and configure the enterprise controls you need: SOC 2, HIPAA support, GDPR, EU data residency, zero-retention mode. We measure latency on your stack, not on a marketing number, and someone on your side signs off before anything reaches a real caller.

  3. Step 3 · Build the voice experience

    Voice agents and in-app audio that hold in production

    We build the experience: ElevenAgents for support, IVR or booking, wired to your tools so they can act, or the TTS/STT API inside your product for voice, notifications and accessibility. Every flow ships with fallbacks for the bad turn, graceful failure when the model hesitates, and the platform's testing and monitoring on top, because a voice that breaks mid-call is worse than no voice at all.

  4. Step 4 · Integrate

    Connect it to telephony, CRM and your support stack

    We wire voice into your real systems so it works where your callers and team already are: your telephony, your CRM, your support desk, your content pipeline for dubbing. The agent can check an order, book a slot, transcribe a call or escalate to a human, all within scoped permissions. Everything ships with its monitoring and logging from day one, not bolted on after the first incident.

  5. Step 5 · Enable & hand over

    Train the team, set the monitoring

    We train your team on running the voice experience: tuning prompts and voices, reading the monitoring, handling the escalation path. The setup lives in your account and your stack so you own it without us. If you want to go deeper, our ElevenLabs training covers voice agents, the API and latency tuning end to end so your team ships the next voice feature on its own.

Proof · what the teams say

We're judged on the voice that ships.

No partner badge to display, so we lead with what matters: feedback from the teams whose ElevenLabs build we ran, and whether the voice experience kept holding after we left. Our Trustpilot reviews come from those teams, not from a marketing deck.

  • The setup lives in your account and stack, owned by your team
  • Latency, fallbacks and security wired before a caller hears it
  • Voice agents monitored, tested, with a clean escalation path
  • Trustpilot reviews come from the teams we built voice for
Talk to the team
FAQ · ElevenLabs agency 2026

The questions we get asked on repeat.

  • What does an ElevenLabs agency actually do?
    An ElevenLabs agency puts AI voice to work in your product and support, instead of leaving you with an API key and a demo. We deploy ElevenAgents for support, IVR and booking, integrate the TTS and STT API for in-app voice and accessibility, set up dubbing and multilingual audio for your content, and wire it all into your real stack with the latency, fallbacks, security and monitoring that hold in production. The point is a voice experience your callers trust, not a slick demo that breaks on the second turn.
  • How much does an ElevenLabs build cost?
    It depends on scope: a TTS integration into one product flow is nothing like deploying voice agents wired into your telephony, CRM and support desk. We don't throw out a flat package. We start with a free 60-minute audit to find where voice actually helps your product or support, then quote a fixed scope. ElevenLabs' own plan and usage you pay to ElevenLabs directly; we set up the models and controls so the bill stays predictable instead of a usage surprise.
  • What are ElevenAgents and do we need them?
    ElevenAgents is the ElevenLabs platform to deploy conversational voice and chat agents at scale, with integrations to your tools, plus testing, monitoring and reliability features for production. Whether you need them depends on the job. For support calls, an IVR people give up on, or booking flows, a voice agent wired to your systems is a real lever. For a single in-app notification voice, the TTS API alone is enough. We set up what fits, not what sounds impressive.
  • Which ElevenLabs model should we use, Flash or Turbo?
    Different trade-offs, and it's the choice that makes or breaks a voice experience. Flash v2.5 gives ultra-low latency (around 75ms), which is what a real-time voice agent needs so the caller isn't waiting through dead air. Turbo v2.5 balances quality and speed, better when the audio quality matters more than the last millisecond, like polished voiceover. We pick per use case and measure the latency on your stack, instead of defaulting to one and hoping it feels right on a live call.
  • Can you integrate ElevenLabs into our product and support stack?
    Yes, that's where voice earns its keep. We wire ElevenAgents and the API into your real systems: your telephony so it answers calls, your CRM so it can check an order, your support desk so it escalates to a human cleanly, and your content pipeline for dubbing. The agent acts within scoped permissions you control, with monitoring and logging from day one. The goal is voice working inside the stack your team and callers already use, not a separate experience nobody maintains.
  • Is ElevenLabs safe for regulated or sensitive data?
    It can be, with the right setup, and that's part of the job. ElevenLabs offers enterprise controls: SOC 2, HIPAA support, GDPR compliance, EU data residency and a zero-retention mode for sensitive workloads. We configure the controls your use case actually needs rather than turning everything on blindly, and we keep monitoring on the live agents so a bad turn or a leaked detail gets caught. For regulated teams, that governance matters as much as the voice quality, and we set it up alongside the build.
  • Does ElevenLabs work with IBM watsonx?
    Yes. A March 2026 partnership brings ElevenLabs text-to-speech and speech-to-text to IBM watsonx Orchestrate, so if your team already runs watsonx, the ElevenLabs voice and transcription layer plugs into that orchestration. We can build on that integration where it fits your setup. As with any integration, we audit whether it actually serves your use case before wiring it in, instead of adding a layer because it's available.
  • How long does an ElevenLabs build take?
    For a scoped build (one voice agent or a TTS integration into a product flow), count 2 to 4 weeks: audit and model choice first, then build with fallbacks, testing and monitoring. Wiring voice agents into your telephony, CRM and support desk, or setting up multilingual dubbing across your content, runs longer. We split into batches so you get a working, safe voice experience fast, rather than waiting on a big rollout before a single caller hears it.
Build with ElevenLabs

Stop shipping a demo voice. Ship one that holds.

A 60-minute audit, your voice use case mapped, a build plan with the latency, fallbacks and security baked in. If your team can run it in-house after setup, we'll hand you the playbook. If we're the right fit, we handle it.

or just drop your email