AI BDR Frequently Asked Questions

We're built for B2B companies with 10 to 100 employees that already have a sales process that works. Enterprise consultancies want $50K before they write a line of code. Platforms like Artisan and 11x will onboard you in a week, but you get their template instead of your workflow. We're the middle option: custom agents at agency pricing, built by people who sold for 15 years before they built software. We've shipped over 200 custom agents, and our clients report about $280 million in pipeline out of their own CRMs.

Off-the-shelf platforms deploy fast, but you're configuring their template. They handle standard motions well, like tech sales and recruiting. They struggle with unusual industries, complicated signal logic, and long buying cycles. We build the system around your workflow, your CRM, the signals in your market, and the way your team writes. If your sales motion is straightforward, a platform is probably fine and we'll tell you that. If it isn't, a template will fight you the whole way.

Clay, Apollo, and Instantly are good tools if you have someone technical who can spend 40 to 80 hours on the initial build and then keep maintaining it. We're for teams that want the outcome without that. The bigger gap is strategy: picking which signals actually predict a deal in your market, structuring the research, and writing copy a specific buyer answers. The tools don't do that part for you, and most teams that build internally underestimate what it takes to keep running.

It's aggregated from numbers our clients pulled out of their own CRMs. Not projections, not modeled, not our attribution. That's still just us saying it, though, so ask for a reference call. We'll put you on the phone with a client in your industry and you can ask them what they actually got. We've never run ads, which is why you probably haven't heard of us.

Most agencies selling "AI services" are reselling somebody else's tool or bolting ChatGPT prompts onto what they already did. We spent 15 years selling and marketing before we built any of this. Our first AI system was a voice-to-CRM automation we shipped before ChatGPT was public. So we start with the buyer and the message, then pick the technology. The AI is the delivery mechanism. The strategy is the product.

We've built agent systems for B2B services, SaaS, medical devices, healthcare, financial services, e-commerce, agencies, and professional services. What those have in common isn't the vertical. It's outreach that has to be genuinely researched, and a sales process with real complexity in it. Before we build anything we check whether your market throws off signals we can watch. If it doesn't, we'll say so and point you somewhere better.

Yes, with more work up front. We've built compliant systems for medical device and healthcare companies where every message has to clear a regulatory bar. We build the guardrails in from day one: approval workflows, restricted-language lists, and a human checkpoint before anything sensitive goes out. Every market has buying signals. Regulated ones just need more care about which signals we use and who signs off on the copy.

Complicated sales cycles are where custom agents earn their keep. Off-the-shelf tools break on exactly that: several stakeholders, a six-month evaluation, technical requirements, or a competitor you have to displace. We build systems that know your ICP, your competitive position, and the triggers that mean someone is actually in market, instead of dropping a first name into a template. The longer and messier the cycle, the more a custom system is worth.

Every market has signals. They're just different ones. Consumer brands watch TikTok and Reddit. Local businesses watch Google reviews and regional news. B2B teams watch LinkedIn activity, job postings, funding rounds, and what tools a company just bought. In the strategy phase we find the handful of signals that actually predict a deal for you. If there aren't any, we won't sell you a system that can't work.

An SDR runs $60,000 to $80,000 a year in salary, plus benefits, training, management, and three to six months of ramp. A good one deeply researches 5 to 10 prospects a day. Our systems run $3,000 to $5,000 a month, research 50 or more a day, and start producing the week we turn them on.

ChatGPT writes decent copy. That's one piece of it. A working system watches for signals around the clock, pulls research from several sources, writes the message, sends it, follows up based on what the prospect did, sorts the replies, and writes all of it back to your CRM. That's not a prompt. It's about nine connected pieces with real logic and error handling between them, and most teams that try to rebuild it underestimate what it takes to keep running.

It depends on your market, your cycle length, and what pipeline infrastructure you already have, so we give you a specific number in the strategy phase rather than a generic one here. For a reference point: one of our clients in employee benefits went from zero leads in a segment to over 500 qualified inbound leads in six months, off an AI-run LinkedIn webinar funnel and an automated email follow-up system.

That's what the strategy phase is for. Before we build anything, we check whether your market throws off usable signal and whether the conversion math works. If we can't see a path to results, we say no and you've spent nothing. If we can, we start with a pilot so you see it work before you sign a retainer.

No. We run a pilot first so you can see results before committing to anything longer. If the system isn't producing, you shouldn't be paying for it, and we write the agreements that way. We keep clients because the thing works, not because they're stuck.

It's the first thing most people ask us, and it's a fair question. Every message runs through brand voice controls and a banned-phrase list, and anything sensitive routes to a human before it sends. You decide what goes out and what needs approval. If the copy reads like a robot wrote it, we haven't done our job, and fixing that is on us.

You own all of it. The sequences, the workflows, the lead data, the documentation. We don't hold systems hostage. If you want to run it in-house, we'll hand it over and train your team on it.

We do the build, the testing, and the tuning. What we need from you is discovery and strategy, which is about 3 to 4 hours of calls total. After that you're reviewing results, not managing a project.

Setup runs 2 to 4 weeks. First qualified leads usually land 1 to 2 weeks after we turn it on. Dense signal and a short sales cycle means you'll see it fast. A slow market means slower results, and we'll tell you which one you are before you sign anything.

Usually the opposite. Once your reps see leads show up already researched, with the recent company news, the specific problem, and the background on the decision maker, they turn into the system's biggest advocates. AI BDRs don't take sales jobs. They hand your reps better opportunities than anyone has time to dig up themselves.

No. Your people have judgment, relationships, and a read on the market that the system doesn't. What they don't have is time. Your SDR can research eight accounts properly in a day. The system does eighty, and the eighty look like the eight. That frees your team for the work that needs a human: strategy, relationships, closing.

We build into the tools you already have instead of asking you to switch. We've integrated with HubSpot, Salesforce, Pipedrive and Close, email platforms like Instantly, Slack for notifications, and enrichment services like Apollo and ZoomInfo. The system should fit the way your team already works.

We design the handoff around your sales process. Usually that's some mix of a CRM task created the moment a prospect replies, a Slack ping to the assigned rep, a lead score that trips human follow-up at a threshold, and calendar booking for the ones who are ready. Routing can go by territory, product line, ICP segment, or whatever your team already uses.

Every engagement starts with a discovery call about your goals, your current sales process, and how your market behaves. From there, the strategy phase finds the signals worth watching, designs the architecture, and sets a realistic expectation for results. We don't start building until strategy is done and we both agree on the approach. We're at capacity right now, so the first step is the waitlist form at the bottom of this page. We'll reach out when a spot opens.

Yes, once a spot opens. The signal audit is free and we run it before anyone talks about money. It gives you the top buying signals in your market, the companies showing them right now, and what an agent would actually say to them. No pitch on the call.