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Client-consulting ai based model

Hi guys,

I was tasked with creating a creative ai based solution on the client-consulting matching process to reduce benching. I have no experience in consulting but would like to hear all your personal opinions and ideas on what to add to this process, what should be considered and what you would like this whole process to improve on.

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Top answer
Hagen
Coach
edited on Jan 20, 2025
#1 recommended coach | >95% success rate | most experience in consulting, interviewing and coaching

Hi there,

I would be happy to share my thoughts on your question:

  • Can you please provide a proposal that I can review? There is no point in coaches presenting their approaches when it is you who was been given the task.

If you would like a more detailed discussion on your specific situation, please don't hesitate to contact me directly.

Best,

Hagen

Alessa
Coach
on Jan 20, 2025
xMcKinsey & Company | xBCG | +200 individual & group coachings | feel free to schedule a 15 min intro call for free

Hey!

I think this solution should focus on optimizing staffing by considering consultant skills, availability, past project performance, and personal preferences while aligning them with client needs, project complexity, and timelines. Key areas for improvement could include better visibility into upcoming projects, predictive analytics to anticipate demand, and dynamic upskilling recommendations to reduce bench time. Consultants would benefit from a more transparent and fair allocation process, while firms could optimize utilization rates and client satisfaction. Think about integrating real-time data, feedback loops, and adaptability to shifting project demands.

Alessa

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