The Good Tech Companies - Everyone Is Building AI SDRs. Almost No One Is Building Them Right

Episode Date: May 25, 2026

This story was originally published on HackerNoon at: https://hackernoon.com/everyone-is-building-ai-sdrs-almost-no-one-is-building-them-right. Krazimo is building AI SDR systems that handle outreach, qualification, context, and workflow execution across the full sales cycle. Check more stories related to business at: https://hackernoon.com/c/business. You can also check exclusive content about #ai-sales-agent, #ai-sdr-workflow-automation, #ai-sdr-platform, #ai-outbound-sales-system, #multi-step-sales-automation, #conversational-ai, #ai-sdr-infrastructure, #good-company, and more. This story was written by: @jonstojanjournalist. Learn more about this writer by checking @jonstojanjournalist's about page, and for more stories, please visit hackernoon.com. Krazimo argues that most AI SDR tools fail because they only automate cold outreach instead of the full sales workflow. The company is building AI SDR systems that maintain context across conversations, qualify leads, retrieve internal knowledge, and take action inside business systems. Its approach focuses on continuity, onboarding, workflow integration, and ongoing optimization rather than isolated automation tools.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. Everyone is building AISDRs. Almost no one is building them right, by John Stoy and journalist. Sales has been one of the areas that has always experimented with AI. The structure of sales has made it easy to adopt AI because the work is often defined, measured, and refined. Prospecting, qualifying, messaging, follow-up, and booking a call are repeatable steps with clear outcomes. At Krasimo, this structure became the starting point for building an AI sales system that could operate inside a real workflow rather than around it. That distinction is what makes good AISDRs attractive. For companies looking toe move beyond

experimentation, sales offer a clear entry point. For Akhil Verghese, founder and CEO of Krasimo, that meant building a system that could plug directly into those existing metrics and be judged on performance from day one. The misunderstanding by the behind AISDRs. Despite the interest, most companies approach AISDRs with the wrong approach. Most companies use AISDR as a tool to generate cold emails with slightly better phrasing, but this interpretation completely misses the scope of what AISDR can actually offer. An effective SDR does not complete a single task, it works across a sequence. Outreach leads to replies, and replies require interpretation. The conversation continues with qualification,

resource sharing, and eventually a decision about whether the lead is ready for a call. Each step depends on the previous one. When a system handles only the first step, the rest of the process falls back on a human. That gap introduces delays, and in sales, timing determines outcomes. A lead that waits for a response often becomes a lost opportunity. Voice represents another challenge. Messages that feel disconnected from the company they represent can halt the conversation in its tracks.

a business requires proper context, tone, and an understanding of how that company communicates, which is one of the areas where Krasimo shines by treating onboarding and voice capture as core parts of the system rather than afterthoughts. Where current solutions fall apart. In practice, most AISDR offerings fall into two familiar patterns, low-cost automation and personalized automation. Low-cost automations have a limited ability to reflect the specifics of a business, and personalized automations often come at a higher price point and are typically inconsistent either way. Neither approach resolves the main problem, no matter which of those two approaches is used. Both come with similar problems. Systems move leads forward without verifying whether those leads are

qualified. As a result, conversations continue without access to the information needed to answer basic questions. Pricing, availability, and relevant materials remain out of reach, which forces the system to respond in vague or incomplete ways. Over time, even small inconsistencies begin to compound. Without oversight, systems continue operating on outdated information. By the time the issue becomes visible, the impact has already spread across multiple conversations. Krasimo addresses this directly through ongoing monitoring and post-launch adjustments, treating performance as something that requires continuous attention rather than a one-time setup. There is also the question of continuity because when a human steps in without context, the prospect repeats information they have already

shared. That moment shapes the first impression of the interaction, and it is difficult to recover from it. What it takes to build a real system, automating outreach only addresses a small part of the workflow. Building a system that operates like a strong SDR requires covering the entire sequence over time to truly understand if the problem can be solved by the company. But the only way to do that is to ask the right questions and provide relevant information. It also requires the ability to recognize when a conversation isridi to move forward and to act on that next step without delay. This kind of system depends on more than a scripted question reply approach. The AISDR needs access to internal knowledge and the tools that enable it to act, whether that means checking availability, retrieving a case study, or updating a record.

Krasimo built these capabilities into the system itself, allowing the agent toper it across the full workflow rather than stopping a communication. Without those capabilities, the system can still communicate, but it cannot complete the task. Why progress slows after the first step. Cold outreach tends to give the impression that AISDRs are doing their job, but in reality, that first message is easy to produce. Even a mediocre first message can be effective enough to elicit a response. The problem is when the conversation continues. Maintaining context across multiple exchanges requires tracking what has been said,

how the potential client responded, and what information is still needed. Conversation rarely follows a predictable pattern, which makes scripted responses that follow a rigid sequence ineffective. Each response needs T.O. account for nuance, timing, and intent. This is where AISDR can shine, but a system that can't retrieve accurate information or take action within internal systems will quickly reach its limit. The conversation may continue, but it does not progress in a meaningful way, which is why Krasimo approaches AISDR. AISDRs as a connected system rather than a sequence of isolated tools. Building toward a complete sale system, Krasimo approaches AISDR as a complete system, not just as individual tools to help

with email outreach. And with that idea, the company has an extensive onboarding system to help it from start to finish. The onboarding process focuses on building a detailed understanding of how a company operates. Information from websites, social channels, and internal documentation is structured into a working knowledge base, which is then review ed and refined. This level of preparation supports a more accurate representation of the business in conversation. Outbound and inbound interactions are handled within the same flow. The system that initiates contact continues the conversation, which removes the delay that often occurs when responsibility shifts between tools or teams.

Before deployment, the system is tested against a range of possible questions. Responses are reviewed and adjusted until they reflect the expected standard. After launch, performance is monitored and refined as conditions change. These decisions reflect a different set of priorities. The focus is on continuity, accuracy, and the ability to operate across the workflow rather than optimizing for a single task. Where this is heading, sales provides a clear path for applying AI because the structure already exists. The challenge, however, lies in building systems that can operate within that structure without introducing gaps. A well-functioning system handles the

full sequence. It maintains context across interactions, represents the company consistently, and adapts as conditions change because it has access to the information and tools a human would use. That level of execution requires more than a prompt or a single feature. It requires coordination across data, processes, and infrastructure. Krasimoscurant direction reflects this, with continued investment in systems that unify channels, maintain context, and improve over time. Companies that treat AISDRs as a system rather than a shortcut are the ones most likely to see meaningful results. And companies that use Krasimo understand that. This story was distributed as a release by John Stoyen under Hackernoon Business Blogging Program. Thank you for listening to this

Hackernoon story, read by artificial intelligence. Visit hackernoon.com to read, write, learn and publish.