Beyond the Hype: Our Experience of Building 3 Salesforce AI Apps

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With the buzz surrounding AI integration in CRM, it’s essential to understand the practical implications of adopting such technologies. Delving into the real-world experience of building three Salesforce AI apps can provide a clearer picture of what to anticipate and prepare for. Here are the five key areas to consider:

1. Identification of Use Cases
– Start by pinpointing specific problems that AI can solve.
– Opt for use cases with a clear ROI to justify the investment.
– Ensure there’s enough relevant data to train the AI models effectively.

2. Data Quality and Preparation
– Acknowledge that AI is only as good as the data it gets – prioritize clean, high-quality data.
– Undertake thorough data preparation, which often accounts for a significant portion of the project time.
– Utilize Salesforce’s tools for data management and cleaning.

3. Building vs. Buying
– Evaluate the build vs. buy dilemma based on your organization’s specific needs and capabilities.
– Consider the speed of deployment, customization, and long-term maintenance for both options.
– Leverage existing Salesforce AI solutions like Einstein Analytics where it makes sense.

4. User Adoption and Change Management
– Involve end-users early in the process to ensure the solution meets their needs and to foster buy-in.
– Invest in training and support to ease the transition to the new AI-powered processes.
– Monitor adoption and continuously seek feedback for improvements.

5. Ethical Considerations and Bias
– Be aware of the potential for bias in AI decision-making and take steps to mitigate it.
– Implement ethical AI practices and maintain transparency with users about how AI is being used.
– Stay informed about evolving regulations and ethical guidelines surrounding AI.

As Salesforce professionals navigate the integration of AI into their CRM systems, keeping these areas in focus is pivotal for success. Each aspect, from the meticulous preparation of data to the ethical deployment of AI models, plays a crucial role in sculpting a robust and efficient AI strategy within the Salesforce ecosystem.

You can read it here: https://sfdc.blog/MuUwQ

Source from salesforceben(dot)com

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