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IDWs can draw from a shared library of skills that can be customized to create personalized experiences .
Whether building from scratch or restructuring existing systems , creating the requisite ecosystem for this kind of activity requires a lot of work .
Humans can come up with ideas for automations , quickly build frameworks for the skills that will execute the automations , test these skills and iterate on them .
Most importantly , humans and IDWs are in continual contact via human-in-the-loop ( HitL ).
I ’ ve spoken with far too many CIOs who think that giving their workforce sanctioned access to an LLM will open the floodgates of automation .
We ’ ve already seen that people are indeed leveraging the strengths of generative AI to write emails , summarize content and test code , but these are relatively limited use cases in terms of the kind of productivity enhancement that conversational AI can deliver with the proper long-term strategy in place .
Multiple enterprises have implemented such strategies and seen firsthand the immediate effect of getting everyone within an organization involved in the process of designing and evolving automations .
This strategy also has the long-term effect of fostering a budding awareness of an organization within the technology ecosystem , setting the stage for conversational AI to survey all the data and read or listen to all forms of communication .
This powerful design pattern has IDWs turning to humans when they don ’ t know how to proceed or in moments where one human needs to interact with another .
The ongoing process of HitL provides critical guardrails for the broad adoption of AI within an organization .
HitL is also fundamental to training these systems .
With humans designing and maintaining the skills that these AI systems execute , most of the reasoning and decision making will be deterministic – decisions will be predetermined by humans making decision trees .
The agency available to the machine will be very narrow – so it ’ s a stretch to think that AI systems established by companies will bring us to an extinction-level endgame .
The technology ecosystem that ’ s grown within the organization maps this information to skills that lead to improved experiences with employees and customers .
From minute to minute , IDWs can know what the organization knows , eventually understanding its operations along vectors that humans might not even be aware of .
This is the organizational AGI I see on the horizon .
None of this is to imply that organizational AI will suddenly realize its survival depends on eliminating humans .
In fact , the formative activity within an ecosystem that ’ s growing toward organizational AGI is human-led and human-fed .
The skills that IDWs run are created by humans .
Ideally , they are created by humans who best understand the tasks they are seeking to automate .
These humans create these skills using low- and nocode design tools that essentially enable them to write software conversationally .
64 INTELLIGENTCIO LATAM www . intelligentcio . com