Data preparation leads to AI success: three use cases
Posted: Sun May 25, 2025 4:23 am
To understand how and why that happens, we’ve outlined three hypothetical use cases of both effective and ineffective data preparation and the impact on AI success.
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1. AI enhances efficiency
Imagine a sales team at a tech company, let’s call them “Futurix Dynamics.” They’ve cleaned and normalized all the data that’s stored in their customer relationship management (CRM) tool. This data preparation ensures accurate customer profiles and well-documented sales interactions. When they launch new AI capabilities for their CRM, the AI assesses afghanistan phone number list existing data and gives them insights on potential leads and upselling opportunities. Even better, it can then generate emails for the sales reps, and provide them with automated call summaries any time they interact with a customer. As a result, their team spends less time typing and more time closing deals, significantly boosting their sales efficiency.
Over at “HumanisTek Inc.,” a competing tech firm, the management rushes into AI implementation without proper data preparation. Their CRM is cluttered with outdated contacts and inconsistent sales data. As a result, their AI platform frequently suggests irrelevant leads based on outdated customer information, leading to missed opportunities and frustrated sales staff who constantly have to correct data errors. Sales reps also have to spend too much time proofing the AI-generated emails, as they are frequently incorrect, so the efficiency AI promises is never realized.
Discover Agentforce
Agentforce provides always-on support to employees or customers. Learn how Agentforce can help your company today.
See the benefits
1. AI enhances efficiency
Imagine a sales team at a tech company, let’s call them “Futurix Dynamics.” They’ve cleaned and normalized all the data that’s stored in their customer relationship management (CRM) tool. This data preparation ensures accurate customer profiles and well-documented sales interactions. When they launch new AI capabilities for their CRM, the AI assesses afghanistan phone number list existing data and gives them insights on potential leads and upselling opportunities. Even better, it can then generate emails for the sales reps, and provide them with automated call summaries any time they interact with a customer. As a result, their team spends less time typing and more time closing deals, significantly boosting their sales efficiency.
Over at “HumanisTek Inc.,” a competing tech firm, the management rushes into AI implementation without proper data preparation. Their CRM is cluttered with outdated contacts and inconsistent sales data. As a result, their AI platform frequently suggests irrelevant leads based on outdated customer information, leading to missed opportunities and frustrated sales staff who constantly have to correct data errors. Sales reps also have to spend too much time proofing the AI-generated emails, as they are frequently incorrect, so the efficiency AI promises is never realized.