Published: 24 March 2022
The idea of automating almost everything intrigues many organizations, but as they are at differing maturity levels, a one-size-fits-all strategy won’t work. Product managers must decide if they will focus messaging toward specific narrow segments of the market or build a variety of messages.
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Product managers face challenges of finding the correct message for the maturity stage of prospects and clients of hyperautomation tools. Prospects and clients are at various levels of understanding as to why they would need these tools and very different stages of maturity.
Using the generic term “artificial intelligence” to describe a wide variety of different capabilities confuses clients and prospects as to what they actually need.
To better communicate the value of their hyperautomation offerings, product managers responsible for product introduction at software and IT services companies must adopt these practices:
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