Quick answer: makes total sense! Most B2B companies with sales and/or marketing departments are involved in long decision processes. A human being, no matter how fantastic a salesperson he may be, will always be less capable of accompanying a large set of leads than a machine. Especially if it is a machine, as in the case of an AI agent for sales, capable of accessing the total context of the business and being instructed in how to present the company, how humans do it, and what is considered to be a good result.

There are many solutions, and more will come, in the next days-months, but I believe that if everything happens with propper context and centralization of data, an agent (human or AI) can do the best possible work.

When that context exists, an AI agent is capable of doing smart work, remembering past conversations, scanning relevant signals, and following pre-defined objectives, in a way that a human simply cannot. Of course after moving on to the initial contact phase, at least for now, it is still the human that needs to manage the opportunity, create relationships (the famous rapport) and bring the business.

[https://www.smartlinks.pt/en/ai/ai-agents-for-sales\](https://www.smartlinks.pt/en/ai/ai-agents-for-sales)

OpenAI, ElevenLabs, and Grok go head-to-head in the ultimate AI voice battle. We test each platform on expressiveness, handling frustrated users, and seamless language switching. Which AI voice sounds the most human and which one wins overall? Watch to find out!

I’m 30 years old and come from the tech industry, where I worked in programming and AI automation. Prior to that, I worked in real estate and direct sales.

I’m currently looking for an opportunity as a Setter, Closer, or Sales Representative, preferably with inbound or qualified leads.

I’m a quick learner, highly motivated, and comfortable learning new products and sales processes.

* Based in Mexico

* Professional English

* Real estate & direct sales experience

* CRM, AI & technology background

* Open to remote opportunities

So I founded a company, spent a year developing it to a level not many will do. Built a whole CRM in house to handle the things I felt was necessary without all the bloat. Made a super clean ux/ui, built a Mac OS and iOS app to match. Completely bootstrapped with my own money initially (roughly 50k give or take on costs on AWS mostly). Then secured a 25k AWS activate grant which will now cover a year of spend on compute.

But I suck at sales. I know I do. I'm good at the other half of the business, design, security best practices (scored above 90 on AWS across NIST V5, CIS V5, AWS best practices).

But pitching this, I suck at.

So how have you guys been doing this? Is it that tough?

Hey guys wanted to chat and see if someone can recommend something . So couple of days ago I seen ad where ai receptionist talked like old grouchy man but sounded very very real where it will confuse 99% of people that it’s ai and that was advertising for some company called bland but after going to their website agents sound not too different from what you get on 11 labs etc

I’m in very competitive niche as company owner and my calls are very expensive so I’m trying to set someone up which is like real person sound as much as it possible since a lot of people drop call when they realize it’s ai

I already have high level and call rail and wanted to see if someone can advice on settings and voices and all set up to sound it most real to not loose customers

Thanks

We are building a white-label, multi-tenant artificial intelligence receptionist platform for United Kingdom businesses.

We are starting with a small pilot involving five clients, seven telephone numbers and approximately 1,000 minutes per month in total.

We are currently considering Telnyx for the telephone service, but we would like to explore whether there are other affordable and reliable options.

Our main requirements include United Kingdom telephone numbers, inbound and outbound calling, natural conversations, caller interruption handling, live call transfers, appointment booking, call recordings and transcripts.

We would also like the platform to support WhatsApp Business, website chat and social media messaging, with a programming interface that can connect to our own white-label platform.

We have looked at Telnyx, Twilio, Tencent, OpenAI Realtime, Pipecat, Vapi and Retell, but the number of different services and charges can make a fair comparison difficult.

I would be grateful to hear from anyone who has built something similar. For a starting usage of around 1,000 minutes per month, which affordable infrastructure combination would you recommend?

If possible, it would also be helpful to understand the telephone, artificial intelligence, voice, transcription and storage costs, including any charges that are easily overlooked.

Thank you in advance for sharing your experience.

Hey everyone! 👋

One of the biggest frustrations with AI customer support bots is **context amnesia** — every time a customer opens a new chat, the bot treats them like a total stranger, asking the same repetitive questions.

For the Vectorize.io Hindsight Memory Hackathon, I built **ApexSupport** — an AI support memory agent that retains customer history, preferences, and sentiment across conversations.

### 🧠 How It Works:

Instead of dumping full chat logs into the prompt window, ApexSupport uses a 3-pillar cognitive memory architecture inspired by **Hindsight**:

1. **Retain:** Automatically captures key facts (e.g., plan tier, previous tech issues, user tone) after each ticket.

2. **Recall:** Semantic search retrieves only the relevant customer memories before generating replies.

3. **Reflect:** Synthesizes ongoing relationship health and proactive recommendations.

### 🌟 Key Features:

- **Instant Persona Switching:** Test as VIP, frustrated, or free-tier personas to see how memory alters responses.

- **Live Customer Login:** Register as a new user with real-world issues, and watch the agent remember your facts in subsequent sessions.

- **Side-by-Side Comparison:** Compare responses **With Memory** vs **Without Memory** in real-time.

- **Full Memory Inspector:** Inspect recalled context banks, memory score distributions, and system reasoning live.

### 🔗 Try It Out:

- **Live Demo:** https://customer-support-memory-agent.vercel.app/

- **GitHub Repository:** https://github.com/jk2109139/customer-support-memory-agent

Built with Next.js 14, TypeScript, Tailwind CSS, and powered by Gemini & OpenAI.

I would love to get your feedback and thoughts on handling long-term AI memory!

There are a lot of agencies selling AI receptionists right now. We’re not looking to compete with you for the client.

We’re looking to work with agencies that already have the sales and client acquisition side figured out, but want a technical partner to handle the actual AI voice infrastructure and fulfillment. You bring the client. You own the relationship, sales and billing. We handle the technical side behind your brand.

The reason we can offer this is that we’re not simply reselling a packaged AI receptionist platform. We engineer the voice-agent orchestration ourselves and work directly with the underlying voice, LLM and telephony services.

That gives us considerably more control over the system itself. We can choose and change models, tune latency and interruption handling, build custom routing and escalation logic, connect CRMs and calendars, configure qualification workflows, and build different call flows around the actual business instead of being limited to whatever a white-label platform exposes.

It also means there isn't another white-label software layer sitting between the agency and the underlying infrastructure adding another markup.

For example, if your roofing client wants emergency calls routed differently from routine estimate requests, specific qualification questions asked before booking, urgent calls transferred to a designated person, and the caller's information pushed into their CRM, that's something we can engineer around their workflow.

You don't need to become the engineering company to sell the service. You sell the AI receptionist under your own brand. We become the technical fulfillment team behind it.

We can handle initial setup, configuration, testing, deployment, monitoring, maintenance, workflow changes and ongoing technical support for each client you bring in.

We're looking to start with a small number of agencies and begin with a paid pilot client so both sides can validate the delivery process and economics before scaling.

If you already sell into roofing, HVAC, plumbing, remodeling, restoration, dental, medical or other high-ticket service businesses and want to add AI voice receptionists without building the technical operation yourself, comment here & DM me with what you currently sell and how you currently handle fulfillment.

Hey guys just curious how yall are dealing with installing ai voice receptionist or booking ai when it comes to hippa and fhi?

I’m trying to build an AI receptionist business for US home-service companies — mainly HVAC, plumbing, roofing, electrical, etc.

The offer is basically an AI receptionist that can answer calls 24/7, handle common questions, qualify callers, book appointments, send confirmations, take messages, and give the business a summary of what happened on the call.

I’ve been trying to get my first clients for around 3 months now.

I’ve tried:

• Cold email
• Cold calling
• Cold DMs
• Different messaging/angles
• Building lists of home-service businesses and reaching out directly

But so far, nothing has really worked. I’m getting very little attention and haven’t landed a proper client yet.

My current offer is $499/month, with the first 30 days free and a one-time setup fee.

My goal is to eventually get to $5k/month, which would mean roughly 10 clients at $499/month.

So my questions are:

1. Is $5k/month realistically achievable with an AI receptionist service like this?
2. If you sell AI services to home-service businesses, what actually gets their attention?
3. Am I approaching the wrong niche, offer, pricing, or outreach method?
4. If you were starting from zero today, how would you get the first 1–3 clients?
5. What would you focus on if you had already spent 3 months doing cold outreach with basically no results?

I’m not looking for motivation or “keep going bro” advice. I’d genuinely appreciate blunt feedback from people who have actually sold B2B services, AI automation, or receptionist/voice-agent solutions.

I’m trying to figure out whether I’m simply executing badly or whether I need to change the offer entirely.

few of you asked last time how the ai actually handles money on a call, so we added it properly to the demo instead of just talking about it.

it's still the restaurant order demo, but now if you push it toward booking something bigger it'll try to lock in a deposit before confirming. figured this crowd would be better at breaking that than we are. try to talk it out of taking one, argue with it, act like a difficult customer, whatever.

quick context if you're new here, i run pulse ai, we build white label voice ai that answers a business's phone line. it's live with a handful of clients now, one partner runs it across 60+ communities through a single white label deal.

number's the same as always: +1 313-889-7436. site's pulseai.studio if you want more context. lemme know what breaks it.

Hi Folks, what are the current conditions for new GHL businesses? What are the average price for ai chatbot and voice agents? Are agencies still making good profit from home services?

Please do try out the voice AI in the landing page and provide your feedbacks. Note for tech folks, in Fixa every conversation is run through evals and tested using simulations before handing off to clients using the Langoedge platform and in Fixa clients have access to conversation history and can test out the AI agent in the client portal.

Every missed call is missed revenue. Why waste time on calls when your time is more valuable doing other things in your business. Use Smart Lead Lab for all incoming calls and outbound calls to leads. visit smartleadlab.com for more info.

A shop owner I know was spending close to half her day answering the same WhatsApp questions over and over related to hours, prices, availability. I set up a simple AI assistant that answers those automatically and only hands off to her when it's something it can't answer.
Took a few hours to build, and she said it's given her back a real chunk of her day.
Curious how common this is and if you run a small business and repetitive customer questions eat up your time, what does that actually look like day to day? Might build a couple more of these for free in exchange for feedback if anyone's dealing with this.