Agentic AI
The reign of performance
Why this white paper?
By 2026, AI will have become standard on every workstation. However, according to Gartner, 85% of AI projects never make it past the testing phase because they aren’t integrated into the day-to-day operations of sales teams. AI usage remains fragmented, ad hoc, sometimes risky, and rarely aligned with company objectives.
This white paper proposes a paradigm shift: moving from general-purpose AI used on an ad hoc basis to agent-based AI that is integrated into the company’s processes, content, and data. The goal is no longer to write faster, but to streamline sales operations, secure communications, and reduce performance variance.
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What you'll learn
What experts in the field have to say
Our main goal is to improve how we prepare for our meetings. The better we get to know our clients, the more indispensable a partner we will become.
Note Taker lets you take notes using voice commands as soon as you leave your appointment. No more delays, no more forgotten tasks, and no more afternoons spent on these purely administrative chores!
The use cases focus on scheduling appointments and summarizing meetings. Hosting through Salesapps removes internal usage restrictions.
Frequently Asked Questions About Agent-Based AI
What is agent-based AI?
Agent-based AI is artificial intelligence that is integrated into a company’s processes, data, and methods. Unlike general-purpose AI (such as ChatGPT and Gemini), it doesn’t start from scratch with every request: it maintains a persistent understanding of your ecosystem, your customers, your offerings, and your sales methods.
What is the difference between generative AI and agent-based AI?
Generative AI responds to individual prompts and requires between 2 and 10 iterations to produce a usable result. Agent-based AI performs complete business tasks: it analyzes a prospect’s profile, prepares a meeting brief, generates a meeting summary, and sends it to the CRM—all without manual intervention.
How can I implement agent-based AI in my sales team?
1/ Identify the 2–3 main pain points for your teams, 2/ Involve sales reps the design phase sales reps , 3/ Roll out the solution incrementally using concrete KPIs: time saved, usage rates, quality of deliverables, 4/ Measure the actual business impact on the sales cycle.
Is my company's data secure?
Yes. Unlike consumer-grade tools where data leaves the company, Salesapps AI agents operate within a secure environment. The AI components are hosted by Salesapps, which removes internal restrictions and ensures the confidentiality of the company’s intellectual property.
Ready to make the switch from general-purpose AI to agent-based AI?
Download the white paper for free and learn how to structure an AI deployment that your sales teams will actually adopt.
