The Bright Business Suite

Offering an intelligent 24/7 telephone system with artificial intelligence is now a reality. The AtemisCloud platform, specializing in enterprise management suites, has quietly integrated voice AI with telephony. From the automated qualification of leads to reservations by voice assistant, this innovation opens new perspectives for businesses, with measurable efficiency gains.

After text-based chatbots, voice is about to become the next lever for automating customer relationships. Recent advances in conversational AI allow virtual agents to have natural phone conversations. "We are leveraging AI, particularly voice systems, to build a new era of interactions without the complexity of traditional software," explains Benoit, CEO of AtemisCloud. Specifically, AtemisCloud now integrates into its platform a telephony module coupled with voice AI, capable of making or receiving calls and understanding natural language.

This advancement is part of a broader trend: companies are looking to optimize call centers whose costs keep increasing. The global call center market already represented $359.5 billion in 2024, with a projection of $494.7 billion in 2030 (1). Voice AI appears as a solution to handle call volumes while reducing expenses by automating repetitive tasks. While AtemisCloud is not the only player banking on this path, it stands out as a pioneer by directly integrating it into its cloud ERP with multiple modules (CRM, Marketing, Project, Finance, HR, etc.).

For many service companies, contacting a list of leads and qualifying them is a tedious task. Salespeople spend a significant part of their time on it, at the expense of closing sales. Nearly 46% of sales professionals report spending most of their time on prospecting and lead generation. Thanks to integrated voice AI, this process can largely be delegated to an artificial voice.

Imagine a consulting firm receiving daily inquiries through its website. Now, every new lead can receive a call in less than a minute after their request, made by a virtual agent. This callbot initiates the conversation, asks relevant questions (need, decision-maker, budget, deadline), and assesses the potential of the lead. "Since our voice assistant calls prospects instantly, we've seen an almost quadrupled conversion rate for those contacted in less than 60 seconds," reveals Michel, sales director of a Paris-based service company, referring to a study showing a +391% conversion rate with a callback within one minute (2). The virtual agent qualifies the lead based on defined criteria and can directly schedule an appointment or transfer the call to a human if the profile is promising.

This automation allows sales teams to focus on truly qualified leads. "We have halved the time spent filtering incoming calls. AI brings us hot leads on a platter, ready to be called back by a human salesperson to convince them," illustrates Clara, marketing manager in a B2B service SME. Voice AI acts here as a prospecting assistant, tireless and available outside office hours. Everything is fully integrated into AtemisCloud's CRM: each call and the information collected (intent, announced budget, etc.) are automatically recorded in the contact's file, without manual entry.

Another sector concerned: real estate. Real estate agencies receive many inquiries from potential buyers or renters, not all of which are serious. Thanks to voice AI, it becomes possible to automate first-level calls to filter these requests. A voicebot can handle incoming calls or call back people who have left a message of interest in a property.

The bot engages the discussion: search criteria, budget, financing in place, etc. Based on the answers, it quickly assesses whether the buyer is qualified. "Our voice agent systematically asks key questions and detects in less than 3 minutes if a prospect is ready to buy. If they lack intent or budget, we know right away," testifies Jean-Philippe, director of a connected real estate agency. This initial automated selection allows negotiators to only deal with serious profiles, improving their efficiency.

In AtemisCloud, the information collected by the assistant is injected into the Real Estate CRM module: for example, a filtered potential buyer can be automatically added to an appointment or registered for a targeted emailing campaign.

Such an intelligent telephone system also offers improved service to the agency's clients. "With AI, no more missed calls outside business hours. Our prospects can get pre-qualified or make appointments even at 9 PM," notes Sophie. The company's image of responsiveness is enhanced, while negotiators save valuable time.

In the restaurant sector, voice AI brings new convenience to customers while easing staff workload. A chain of restaurants can deploy a voice telephone assistant to take takeout orders and manage table reservations.

"Before, our lines were busy during peak hours and we lost impatient customers. Today, a voice assistant answers instantly, takes the order or reservation smoothly, and records everything in our system," explains Thao, owner of a restaurant chain in Provence. The AI asks for the number of reservations, the desired time, possibly offers several services if the slot is full, then confirms the reservation. For orders, it lists the menu, takes the customer's choices, announces the amount and the withdrawal time, as an employee would do.

This solution, connected to the sales/stock module of AtemisCloud, even checks availability in real-time (remaining seats, ingredients in stock) through APIs linked to the platform. The manager keeps control over the parameters: "We programmed the scenario to only accept 10 orders per quarter-hour and to refuse reservations after 10 PM on weekends," Thao specifies. The deployment was quick, and the adoption on the client side rather positive. Regulars appreciate being able to book at any time, without waiting for an employee to pick up. And in the kitchen, order slips printed by the AI integrate into the workflow without disruption.

These voice features are all the more powerful as they are fully integrated into the information system. This is the strength of AtemisCloud: the voice AI module communicates with the other components of the suite. When a qualification callbot acts, it draws the questions to ask and the filtering criteria from the CRM/Marketing module (for example, the fields "gender," "city," "csp" of a prospect). Conversely, it enriches the database by recording each answer and updating the contact's status (cold, warm, hot).

Similarly, for order taking at the restaurant, the voice agent interacts with the Stock/Billing module: it decreases the stock of ordered products in real-time and generates a customer order in the system, ready to be billed. "Voice AI is not an isolated gadget. In AtemisCloud, it becomes a full-fledged virtual collaborator, connected to sales, marketing, or logistics processes," explains Laurent Dubois, product director at AtemisCloud. According to him, this global integration enhances the autonomy of managers: "Our SME clients can now deploy a mini-smart call center without heavy infrastructure, and manage their commercial development without multiplying providers." In other words, a small business owner can, via AtemisCloud, orchestrate automatic call campaigns as large call centers would – but at a scale and cost adapted to their structure.

Finally, the handling remains simple. AtemisCloud has included a visual interface for creating call scenarios (without code), directly from its application. A manager can define the questions to ask, the keywords triggering certain responses or transfers, and view call transcriptions. The voice AI also enriches other analytical modules: for example, frequent responses from prospects can appear on the dashboard, or missed call slots can contribute to an effectiveness report.

The use of automated voice agents aims to both increase revenue and reduce costs. Call centers represent a colossal market of several hundred billion dollars globally (3), reflecting what companies spend to contact, inform, and serve their customers by phone. In some sectors, business qualification and order taking consume a significant share of resources: nearly half of sales teams' time is dedicated to these initial prospecting tasks (8). By automating a portion of these calls, voice AI promises substantial productivity gains.

According to a study, automating lead management can reduce the cost per lead by 22% on average, while tripling the ROI compared to manual processing (4). Concrete cases even show more spectacular savings: for instance, a company reduced its prospect qualification cost by 80% thanks to an intelligent voice agent (5). In addition to cost savings, the ability to handle a large number of calls simultaneously and continuously translates into improved service: a virtual assistant can operate 24/7 without a break, whereas a human employee is costly at night or on weekends. According to estimates, modern voicebots and callbots could reduce expenses related to routine calls (order taking, first-level support) by 50 to 90% thanks to their availability and speed (6).

Business leaders also scrutinize the return on investment of these innovations. On this point, the indicators seem favorable: 70% of companies that have adopted automated lead management solutions have reported a 40% reduction in the time spent on prospecting by their teams, reallocating this time to closing sales and customer relationships (7). In other words, voice AI allows for doing more (qualifying, selling, retaining) with constant or even reduced teams. 24% of SMEs surveyed are considering reducing their call center staff in favor of voice AIs within two years, according to an internal survey conducted by AtemisCloud. The initial investment in these technologies (platform subscription, setup) is quickly offset by these productivity gains. "In six months, our callbot cost us 4,000€, and it allowed us to save the equivalent of 15,000€ in human work time," calculates Michel for his service company.

Ultimately, the integration of voice AI into telephony by AtemisCloud illustrates how SMEs can equip themselves with tools once reserved for large accounts. Lead qualification, request filtering, or automated order taking – these solutions are now just a click away in an all-in-one suite. "Our client managers gain freedom: the AI takes care of the front office telephony while they focus on strategy and core business," summarizes Eric from AtemisCloud. While the voice of AI will not completely replace the human touch, it already offers a highly effective relay to accelerate business development, at a time when every opportunity gained or savings made makes a difference.

Source

1: businesswire.com

2: versatik.net

3: businesswire.com

4: airagent.fr

5: dasha.ai

6: agentpro.ai

7: airagent.fr

8: blog.hurree.co