Contact center · Social housing
1 of 4
Sofratel
Customer relations director
200
housing operators
- Done-for-you
- Multi-entity
- 24/7 emergency line
- Mitel
- French
The voice AI platform for networks, franchises and multi-site groups
Run voice AI across every entity you operate
From a single reception line to a thousand branches, CallShift deploys, monitors and scales one voice agent, or a whole fleet, with the same consistency across your network. Live in 1 month on average, 100,000+ calls a day, 80+ languages, EU hosted.
They run their voice AI across their whole network
They also trust us
Built for
NetworksFranchisesMulti-site groupsAgenciesSubsidiariesContact centersSocial housing operatorsGyms and clubsClinics and practicesCreators and solo operators
Testimonial
We entered our partnership with CallShift.ai with complete peace of mind. They are a quality partner, close to their clients, and show great adaptability in every circumstance. The tailor-made solution they proposed fits our expectations perfectly, as well as those of our own clients.
Julien Dusart
Director of contact center operations, Sofratel
Up to 10,000 calls a day at peak
Integrates with
And 1000+ more, or your custom IT stack or telephony...At a glance
100,000+ calls/dayAverage rollout: 1 monthGDPR CompliancyISO 27001 certifiedHDS health-data hosting availableHQ & Data hosted in 🇪🇺 (Paris)AI native since 2024
Pricing
Pricing built around your volume.
Every network has its own volumes, peaks and call scenarios: a fixed grid serves no one. Share your projected usage and our team works out a competitive rate with you, sized to your volume and decreasing as your sites come on board.
01
Pay for value, not promises.
The contract is built for multi-entity networks: pricing scales with the number of entities actually deployed. A pilot is priced like a pilot, a network like a network, never a flat licence disconnected from the field.
02
Done-for-you first, autonomous when you choose.
Platform and services are two separate offers. At launch, our team runs everything done-for-you and takes your project live in 1 month on average; once you're ready, you bring account management in-house, and that line simply drops off the contract.
//claude-skill
Run CallShift from Claude.
Drop our skill into Claude and drive your whole environment in plain language: list and duplicate agents, review a campaign's ROI, add contacts, assign SIP numbers, wire up webhooks. It talks to our API for you.
Six pillars
Six things that break voice AI at scale. We already solved them for you.
Cost, Orchestration, Model, Ease of use, Telephony, Scale. Every one of them has sunk a voice AI project somewhere. Our engineers have streamlined all six.
Discover how each Voice AI pillar is managed
The most marketing-washed metric in the industry. Billing increments? System prompt token size impact? Our engineers have streamlined it for you.
Orchestration is tricky: a custom STT with +30% latency means retuning your endpointing by 30% or turn-taking falls apart. Our engineers have streamlined it for you.
The right balance between latency, intelligence and context window; long prompts and long conversations change the equation. Our engineers have streamlined it for you.
Two ways to manage: our online builder, or prompt control from your favorite LLM. Our engineers have streamlined it for you.
Integrating with your telephony provider is a serious challenge (SIP, IPBX, transfers). Our engineers have streamlined it for you.
Delivering at scale with reliability: tuning servers x AI agents x telephony together. Our engineers have streamlined it for you.
Architecture
Pipeline orchestration or speech-to-speech? The call is made use case by use case.
Two voice AI architectures, two opposite promises. Pipeline orchestration (STT → LLM → TTS) turns every turn of speech into text first: that is determinism. Native speech-to-speech keeps audio end to end: that is look and feel. Neither wins everywhere, and getting that arbitration right, far more than the model itself, is what decides a rollout.
Pipeline orchestration · STT → LLM → TTS
Favour determinism.
The intermediate text is a control point: what gets transcribed can be inspected, constrained and replayed exactly.
- Complex tool-calling flows, conditional branching, long forms
- Constrained scripts where every mention has to be said verbatim
- Every stage picked and swapped on its own: STT, LLM, voice
- Native transcripts: audit, QA and call review all traceable
Native speech-to-speech · audio → audio
Favour look and feel.
One native audio loop, no transcription layer: the model hears tone and answers with its own.
- Reception, qualification, follow-ups: wherever a natural delivery converts
- Low latency, clean barge-in, emotional nuance heard and returned
- Emails and phone numbers captured with no transcriber to mangle them
- Tone, accent and style steered from the prompt, on the fly
Where we earn our keep
The call
Choosing between the two is the job.
We run both architectures in production, on the same networks and sometimes on the same fleet. During onboarding our engineers walk your use cases one by one and make the call with you: determinism here, look and feel there. That arbitration is what takes a rollout live.
01
We map your flows
Use case by use case: what has to be exact, what has to sound human, what has to be both.
02
We make the call with you
Each flow leaves with its architecture, its models, its latency budget, and the reason behind the choice.
03
We re-run the arbitration
A production A/B test settles whatever is still in doubt; switching a flow's architecture never means rebuilding it.
Next step
See it on your own network.
Book 30 minutes with a CallShift engineer: we start from your real call flows and show you how a consistent, supervised, multilingual agent rolls out across every site, agency or franchise you operate.