Discover how Tenali AI transforms complex B2B sales cycles, slashing costs by 86.3% and boosting efficiency. Free your expert team to focus on high-value, late-stage opportunities and elevate your GTM organization to Olympic-level performance with Tenali AI.
In the competitive landscape of B2B Enterprise sales, time and expertise are crucial for success. Sales reps often must pull in a range of experts, such as sales engineers, product managers, product specialists, product specialists engineers, competitive experts, and sales managers, just to answer customer questions during calls. In this blog, we analyze the cost and time implications of involving multiple specialists in initial sales calls and prove how Tenali AI can significantly enhance sales team effectiveness, shorten sales cycles and reduce cost-per-call without replacing essential team members.
Imagine a sales call where seven or more company representatives face off against a single customer. This common practice in B2B sales isn't just overwhelming—it erodes profitability! While thorough, this approach of pulling in various experts for every query bloats the sales cycle and drains resources. Every expert involved means time away from more critical, late-stage deals where their input is crucial. The result? Skyrocketing costs and a sluggish sales process that ultimately hurts the bottom line.
Now, picture a sales rep armed with Tenali AI. They stand alone but carry the knowledge of an entire team at their fingertips. This stark contrast is beautifully illustrated in the image above of Yusuf Dikec from Olympics 2024, comparing a complex team setup to a single, empowered seller.
Let's look at the cold, hard facts. Here's a cost breakdown comparing these two approaches:
Let's assume a sales rep is running a sales call 50% of their time. That is 4 hours per day, 20 hours per week, 80 hours per month. Therefore, Tenali AI cost: $200/month ÷ 80 hours = $2.50/hour.
Tenali harnesses cutting-edge Large Language Models (LLMs), and as the costs of these models decrease, we pass the cost savings directly to our customers. Our commitment to fair business practices and customer obsession remains our top priority.
1. Dramatic Cost Reduction: An 86.3% decrease in cost per call. That's not just savings; it's a complete change in basic assumptions.
2. Scalability: With Tenali AI, a company can handle 8 times more calls with the same budget. Imagine the potential for market reach and growth.
3. Consistency and Speed: Instant, verified responses from your product and engineering team to ensure that every customer interaction is of the highest quality, leading to quicker responses, faster decision-making, and shorter sales cycles.
4. Resource Optimization: Experts are no longer tied down by routine customer queries, freeing up their time to focus on strategic initiatives and later stages of sales cycles where their expertise truly adds value.
5. ROI Potential: At just $200 per month, Tenali AI pays for itself almost immediately. If it can handle 4 hours of calls per day, over a 20-day work month, this means an equivalent of $34,598.40 saved in expert time. This equates to a 173x return on investment for the cost of Tenali AI. Everything beyond that first call is pure gain.
This isn't just about cutting costs. It's about re-imagining what's possible for your sellers and customers. Tenali gives each sales rep a superpower – the ability to access and deploy the collective knowledge of an entire organisation instantly. Your customers have been expecting your sales teams to be knowledgeable at least about what they are selling.
The potential impact is staggering:
Looking Ahead:
In today's challenging economic climate, where CFOs demand more output with fewer resources, AI-powered sales tools like Tenali AI aren't just advantageous – they're essential. These solutions allow teams to dramatically increase productivity without expanding headcount, addressing both performance and financial pressures.
The future of B2B sales is here, blending AI efficiency with human expertise. Are you ready to take your GTM organisation to Olympic levels of performance?
