Gen AI Fact Check: How Aviso Helps Sales Teams Separate Truth from Fiction

Gen AI’s potential to transform sales is undeniable. McKinsey estimates Gen AI could unlock trillions in sales and marketing productivity, with early adopters seeing measurable improvements in efficiency, top-line growth, and customer interactions.

But despite the buzz, Gen AI's impact on sales is still in its early stages. A recent McKinsey survey found that only 21% of B2B sales leaders have fully adopted generative AI, while 22% are still in the pilot stage.

So, what’s stopping them? Is it fear of AI replacing sales reps, concerns about accuracy, or simply resistance to change? Are the promises of Gen AI too good to be true? Are there hidden pitfalls that could derail implementation? 

More importantly, what competitive advantage are these hesitant teams leaving on the table? 

In this article, we’ll explore 8 common Gen AI myths that could be holding sales leaders back from realizing the true potential of this transformative technology. We'll also explore the realities behind the hype, debunking misconceptions and offering practical insights to help you navigate the Gen AI revolution and drive sales success.

1. Gen AI Will Replace Go-to-Market Teams

A common fear is that Gen AI will eliminate jobs. The idea of Gen AI handling prospecting, or customer interactions can feel like a direct threat to the traditional roles within Go-to-Market (GTM) teams.

Reality Check: Gen AI Augments, Empowers, Enhances

The truth is that Gen AI is not here to replace GTM professionals — it’s here to empower them. Rather than making them obsolete, Gen AI helps teams work smarter, accelerate deal cycles, and drive more revenue.

For example, MIKI, Aviso's AI Chief of Staff, helps revenue and GTM teams save up to 15-20 hours per week by automating tasks, summarizing data, and providing actionable insights through NLP analytics. Similarly, our Agentic Workflows save significant time by automating repetitive tasks, such as CRM updation, account planning, and RFP management.

For Customer Success Managers, Aviso's Virtual CSM acts as a personal digital assistant, offering timely reminders and actionable insights to help them stay organized and prepared for key customer engagements. 

2. Gen AI is Biased or Prone to Hallucination

One of the biggest concerns among sales teams is that Gen AI may generate unreliable or inaccurate output. Hallucinations and biases in generative AI outputs result from the nature of their training data, and the inherent limitations of the technology. This issue becomes even more critical when Gen AI is used for content creation, data analysis, or decision-making, as it can lead to inaccuracies that may impact business credibility and profitability. 

Reality Check: Gen AI Can Be Fine-Tuned for Accuracy and Reliability

While early Gen AI models struggled with accuracy, today’s models are getting better. The key is using good-quality data and regular testing to ensure accuracy.

Aviso ensures reliable Gen AI-generated output through rigorous validation and quality checks, minimizing hallucinations and maintaining coherence. Our models, trained on diverse datasets like CRM records and emails, undergo extensive testing to enhance accuracy and mitigate bias. Real-time monitoring and anomaly detection further strengthen precision and reliability.

3. Gen AI is Only for Large Enterprises

Many assume that only large enterprises with deep pockets can truly harness Generative AI, given their built-in advantages—whether in technology, market intelligence, or content production—that often tilt the odds in their favor.

Reality Check: LLMs Can be Fine-Tuned to Address the Unique Needs of SMBs

Generative AI is now equipping smaller businesses with powerful capabilities that were once out of reach. 

That said, effective implementation is key. Many off-the-shelf generative AI tools lack the flexibility to fully adapt to a small business’s unique workflows. Generic solutions may not seamlessly integrate with existing processes, potentially limiting AI’s impact. 

Unlike generic AI solutions, Aviso tailors its LLMs to fit the unique sales and operational processes of SMBs, ensuring seamless integration and maximum impact. At the core of this approach is Aviso’s AI Maturity Model, which enables businesses to leverage small selective models that are uniquely bespoke for their industry. By combining the strengths of open-source large language models with a highly curated, context-rich dataset, Aviso ensures that SMBs get the best of both worlds—advanced Gen AI capabilities that are fine-tuned for their specific needs while maintaining the flexibility to scale as they grow.

4. Gen AI is Only Useful for Content Generation

A common misconception persists: 'Generative AI is only for content generation.' While it's true that GenAI excels at crafting emails, blog posts, and marketing copy, this narrow view severely underestimates its transformative potential in sales and revenue operations. 

Reality Check: GenAI is also for Intelligent Content Consumption and Analysis

GenAI isn’t just about generating new content—it also transforms how content is consumed. Content creation involves using AI models to generate net new media, such as text, images, videos, or audio. Content consumption, on the other hand, focuses on extracting insights, summaries, and key themes from existing content—for example, analyzing a sales call transcript to highlight action items.

Think of GenAI not just as a content producer, but also as a powerful content analyzer and insight generator. Consider these examples from Aviso:

• Renewal Briefs: AI agents analyze customer behaviour and usage to provide CSMs with automated renewal briefs that highlight churn risks and upsell suggestions. 

• Gen AI-Powered Sequences: Analyzes customer data (LinkedIn profiles, past interactions, etc.) and generates personalized email subject lines and body content for each sequence step.

• RFP Management: Instead of creating an RFP document, Aviso’s RFP Management Agentic Workflow analyzes RFP documents, performs gap analysis, and then drafts responses.

• Dynamic Account Planning: Instead of static account plans, Aviso’s Account Planning Agentic Workflow develops comprehensive strategies and adapts them based on real-time feedback. These workflows use advanced agentic AI to equip sales teams with deep insights into a company's profile, including its history, mission, products, market standing, financials, and strategic goals.

• AI Cadences: Revenue cadence tailored for sales personas with MIKI, Aviso's AI Chief of Staff, utilizing Agentic Workflows to eliminate execution gaps and crush quotas through clear, data-backed deal, forecasting, and pipeline insights.

5. Gen AI Requires a Dedicated AI Team to Implement

A common barrier to adopting Gen AI is the belief that it necessitates a dedicated in-house team of data scientists, engineers, and AI experts. This belief often prevents sales and marketing teams from exploring Gen AI solutions, as they fear the cost and complexity of hiring specialized talent and building AI models from scratch.

Reality Check: Open-Source AI Models Eliminate the Need for a Dedicated AI Team

AI-powered tools that come with plug-and-play integrations, make it easy for sales and marketing teams to adopt AI without needing deep technical expertise. With the rise of open-source models like DeepSeek, AI is more accessible than ever for companies of all sizes. These tools can be seamlessly integrated into existing systems, such as CRMs, marketing platforms, and sales tools, without requiring specialized AI knowledge.

Aviso doesn't require users to build LLMs from scratch. Instead, it utilizes pre-trained open-source models such as Llama 3, Qwen, and DeepSeek R1 and blends them with our proprietary NLP and Deep Learning technologies. This eliminates the need for extensive data science expertise and the costly, time-consuming process of training models. By leveraging these pre-trained models, Aviso provides Gen AI capabilities that are immediately ready for use, much like plugging in a new software component.

6. Gen AI Can’t Align with Our Brand Voice

A common misconception is that Gen AI-generated content will sound robotic, generic, or misaligned with a company’s brand voice. Many sales and marketing teams worry that Gen AI can’t replicate their unique messaging, tone, or values in a way that resonates with customers. Additionally, some believe that AI models are static and unable to adapt to evolving market trends, industry shifts, and customer preferences.

Reality Check: Gen AI Can Be Trained for Brand Consistency & Market Adaptability

Modern Gen AI models can be trained on company-specific guidelines, brand tone, and messaging frameworks, ensuring consistency across all sales, marketing, and customer interactions. Gen AI can analyze past content, fine-tune outputs based on feedback, and maintain brand voice coherence across different channels. Additionally, Gen AI models don’t operate in a vacuum—they continuously learn from new data, industry reports, competitor strategies, and customer sentiment analysis, helping sales teams stay ahead of market changes rather than fall behind.

For instance, businesses using Aviso’s Email Assistants have seen higher engagement rates because AI customizes messaging based on real-time customer insights, ensuring relevance and authenticity. Similarly, our AI agents harness artificial intelligence to deliver personalized customer interactions that resonate on an individual level. AI agents analyze customer data and engagement history. They then customize sales approaches to match the unique preferences and needs of each prospect. 

AI Personalizer, part of Aviso's Sales Engagement, generates tailored scripts for email, LinkedIn, SMS, and phone calls—ensuring each message is role-specific and adapted to both account and buyer insights.

7. Gen AI Poses a Risk to Customer Privacy and Compliance

Some businesses hesitate to adopt Gen AI due to concerns about data privacy, security risks, and regulatory compliance. They fear that Gen AI-driven sales and marketing tools might mishandle sensitive customer information or violate industry regulations.

Reality Check: Data Confidentiality & Integrity is Very Much Possible

Concerns about data privacy and regulatory compliance are valid but manageable. Gen AI models can be deployed with built-in governance and compliance frameworks to ensure adherence to industry-specific regulations. 

Aviso uses open-source models hosted on internal servers, thus ensuring the confidentiality and integrity of sensitive information at all times. We maintain adherence to global standards, including GDPR, SOC 2, ISO 27001, and PCI DSS. Leveraging AWS infrastructure, we extend these robust security protocols to all our operations.

8. Gen AI Requires Perfect Data to Work

Many organizations believe that Gen AI can only deliver value if they have perfectly structured and complete datasets. This misconception leads to hesitation in adopting Gen AI, as businesses assume they need extensive data cleaning and preparation before implementation.

Reality Check: Gen AI Can Handle Noisy, Unstructured Data

While high-quality data enhances AI performance, modern Gen AI models are designed to handle unstructured, noisy, and even incomplete datasets. Aviso's generative AI works to turn the often overwhelming volume of unstructured data into valuable, actionable intelligence for sales and revenue teams. It can automate data cleansing, fill in missing information using predictive analytics, and extract meaningful insights from raw, unstructured data sources like emails, call transcripts, and CRM logs.

Gen AI Myths vs. Reality

Conclusion: The Cost of Hesitation vs. The Benefits of Action

For Sales teams that delay Gen AI adoption, the cost of hesitation is clear: missed revenue opportunities, inefficient processes, and a growing competitive gap. While some teams remain stuck in outdated workflows, their competitors are leveraging Gen AI to win more deals, increase efficiency, and enhance customer experiences.

The good news? Gen AI adoption doesn’t have to be overwhelming. Sales leaders can take incremental steps—starting with AI-driven forecasting, automated deal insights, or personalized outreach—to see immediate benefits without a major overhaul.

Ultimately, the question isn’t whether sales teams will adopt Gen AI—but how soon they can afford to wait. The longer they delay, the more they risk being left behind in a sales landscape that’s rapidly evolving. 

Don't let hesitation cost you deals—embrace AI-powered sales with Aviso and stay ahead of the competition. Learn more today!