Accelerators
Skills Assessment Simplified with Agentforce
Updating skills can be a burden, however accurate resource skill matrices are critical for forecasting demand and staffing projects. With Agentforce and Flow, we've simplified this process by using Agentforce to suggest skill recommendations for new or improved skills for each resource using the timecard notes and the skill rating definitions.
How It Works
By combining Agentforce and Flow – a PM can walk through skill recommendations that Agentforce suggests leveraging the timecard notes and the skill rating definitions.
This use case showcases how to simplify regular Skills Assessment by embedding it into Project Close out function.
Its easy to quickly assess:
- Did your resources gain new skills in the latest project implementation?
- Did your resources improve their skills?
Note: This use case doesn’t data cloud, but we’d definitely recommend using data cloud if you have it.
See it Work
Data Quality Matters
In this use case, there are two big takeaways to highlight:
- First LLMs are not crystal balls. In this case, if your timecard notes have not useful details, then this use case will not provide useful recommendations. This case only works with good data. This applies to your skills inventory as well.
- You’re paying the data-quality tax one way or the other. You can either enter quality timecards once and automate staffing, planning, skills, and career insights, or keep struggling with adjacent/downstream processes.
🤯 Not sure where to start? We will meet you where you are in your Agentforce adoption journey, and help you get unstuck>> Contact Us.
