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The source consists of excerpts from the Weekly Dose of GenAI Adoption newsletter, authored by Indy Sawhney, a Generative AI Strategy and Adoption Leader at AWS who specializes in healthcare and life sciences. The primary focus is on accelerating GenAI adoption, particularly through Low-Code/No-Code (LCNC) agentic platforms that empower business users to redesign core workflows. These platforms are presented as a modern echo of a 1984 Canon "user innovation" experiment, shifting the power of workflow transformation away from centralized IT to frontline domain experts. The text details the strengths and limitations of LCNC agentic AI, providing a CxO Playbook for enabling governed citizen GenAI at scale through strategic selection, enablement, and integration criteria. Ultimately, the newsletter advocates for starting with simple automations to build organizational "workflow muscle," proving value quickly under IT governance before tackling complex, mission-critical processes.
 By Indy Sawhney
By Indy Sawhney2.7
33 ratings
The source consists of excerpts from the Weekly Dose of GenAI Adoption newsletter, authored by Indy Sawhney, a Generative AI Strategy and Adoption Leader at AWS who specializes in healthcare and life sciences. The primary focus is on accelerating GenAI adoption, particularly through Low-Code/No-Code (LCNC) agentic platforms that empower business users to redesign core workflows. These platforms are presented as a modern echo of a 1984 Canon "user innovation" experiment, shifting the power of workflow transformation away from centralized IT to frontline domain experts. The text details the strengths and limitations of LCNC agentic AI, providing a CxO Playbook for enabling governed citizen GenAI at scale through strategic selection, enablement, and integration criteria. Ultimately, the newsletter advocates for starting with simple automations to build organizational "workflow muscle," proving value quickly under IT governance before tackling complex, mission-critical processes.

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