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Deciding on AI Tooling Investment for Your Business

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Guys a question: How do you decide if or where your business should invest in AI tooling? Given how many tasks, workflows and processes there are, especially across larger teams, to me it seems quite difficuly to make that call with confidence.

Deciding on AI Tooling Investment for Your Business | RevGenius

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4 comments

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Daniel C.
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Would love to show you Keyn.ai and how it can help your team
Chris F.
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To your question, KC: The last two startups I helped lead we prioritized using AI in two areas-->data discovery + integrations to reduce development time, and automating aspects of service (customer and non-customer facing around processes).
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Sem G.
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Interesting, that is what I got from my research too. Admin, team alignment etc. seem to be very operationally expensive (especially in sales where reports say like 70% of sales reps' time is spent on admin tasks). That is where I am building a solution for. However, getting attention (even interviews with decision makers) is almost impossible. How do you decide what tools or vendors are attractive? Or if some vendor reaches out to you, what makes you want to know more?
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Ayse G.
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It can be overwhelming with a lot of vertical AI vendors. I would look at the department in question, evaluate the operating framework, look at the bottlenecks, issues, automation you need, then make a decision on the proper vendor. MIT NANDA report, you might want to check. Only 5% of enterprises that have invested in AI are generating revenue and productivity from it. Budgets are also very skewed towards marketing and sales- more shinier. The report says there is more value to the operating expense in the admin tasks. Maybe start with those before making too many changes...
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