EPISODE · Jul 11, 2025 · 42 MIN
Inside the Rise of Agentic AI
from Ahead of the Game · host Digital Marketing Institute
In this episode of the DMI podcast, host Will Francis chats with Dikshant Dave, CEO of Zigment, about the fast-evolving world of agentic AI — autonomous AI agents that execute multi-step marketing and sales tasks. Dikshant shares how agentic AI goes beyond basic automation to adapt, personalize, and optimize customer engagement in real time. He explains how this shift is affecting marketers today, how companies can start adopting it, and what roles are most impacted.Dikshant brings deep insights from building Zigment, a platform designed to help brands move from patchwork automations to intelligent, contextual customer journeys — especially in industries with long buying cycles like healthcare, finance, and real estate.What You’ll Learn:What agentic AI really is (and what it isn’t)The difference between traditional automation and AI agentsHow agentic AI can help marketers handle unstructured, real-time dataWhy personalization over long buying journeys is the killer use caseWhere AI fits into customer interactions — and where it doesn’tPractical advice for marketers looking to experiment with AITop 3 Tips from Dikshant Start small but do start – pick low-risk workflows like unmanned channels to test AI agents.Keep cold outreach human – use AI only where context is already established.Don’t try to control every step – let agents figure out the best path to your goal using LLMs.Timestamps & Key Sections:00:00 – Intro to agentic AI and why it matters now02:39 – Dikshant’s journey from a supplements startup to AI-powered sales05:11 – Why personalization beats automation in complex sales07:23 – Tackling hallucinations: reliability and transparency of agents11:58 – The shift from structured to unstructured marketing data15:30 – Real-time decision-making and customer intent detection18:12 – Automation vs. agents: what’s the real difference?21:18 – How Zigment builds agentic customer journeys24:47 – Why long buying cycles are ideal for AI agents26:16 – What parts of marketing to keep human28:08 – Which roles are most at risk of being replaced29:38 – How to stay relevant as a marketer in the AI era32:27 – The “duct tape” problem in marketing stacks35:24 – Why AI is a multiplier, not a workforce reducer38:28 – How to start: small, smart use cases and tools to try40:19 – Sneak peek: Zigment’s upcoming agent builder platform-------------------The Ahead of the Game podcast is brought to you by the Digital Marketing Institute and is available on our website, Apple Podcasts, Spotify, and YouTube.Check out the DMI’s extensive digital marketing library of ebooks, toolkits, webinars, guides, templates, and more! Join for free today.If you enjoyed this episode, please leave a review so others can find us!
What this episode covers
In this episode of the DMI podcast, host Will Francis chats with Dikshant Dave, CEO of Zigment, about the fast-evolving world of agentic AI — autonomous AI agents that execute multi-step marketing and sales tasks. Dikshant shares how agentic AI goes beyond basic automation to adapt, personalize, and optimize customer engagement in real time. He explains how this shift is affecting marketers today, how companies can start adopting it, and what roles are most impacted.Dikshant brings deep insights from building Zigment, a platform designed to help brands move from patchwork automations to intelligent, contextual customer journeys — especially in industries with long buying cycles like healthcare, finance, and real estate.What You’ll Learn:What agentic AI really is (and what it isn’t)The difference between traditional automation and AI agentsHow agentic AI can help marketers handle unstructured, real-time dataWhy personalization over long buying journeys is the killer use caseWhere AI fits into customer interactions — and where it doesn’tPractical advice for marketers looking to experiment with AITop 3 Tips from Dikshant Start small but do start – pick low-risk workflows like unmanned channels to test AI agents.Keep cold outreach human – use AI only where context is already established.Don’t try to control every step – let agents figure out the best path to your goal using LLMs.Timestamps & Key Sections:00:00 – Intro to agentic AI and why it matters now02:39 – Dikshant’s journey from a supplements startup to AI-powered sales05:11 – Why personalization beats automation in complex sales07:23 – Tackling hallucinations: reliability and transparency of agents11:58 – The shift from structured to unstructured marketing data15:30 – Real-time decision-making and customer intent detection18:12 – Automation vs. agents: what’s the real difference?21:18 – How Zigment builds agentic customer journeys24:47 – Why long buying cycles are ideal for AI agents26:16 – What parts of marketing to keep human28:08 – Which roles are most at risk of being replaced29:38 – How to stay relevant as a marketer in the AI era32:27 – The “duct tape” problem in marketing stacks35:24 – Why AI is a multiplier, not a workforce reducer38:28 – How to start: small, smart use cases and tools to try40:19 – Sneak peek: Zigment’s upcoming agent builder platform-------------------The Ahead of the Game podcast is brought to you by the Digital Marketing Institute and is available on our website, Apple Podcasts, Spotify, and YouTube.Check out the DMI’s extensive digital marketing library of ebooks, toolkits, webinars, guides, templates, and more! Join for free today.If you enjoyed this episode, please leave a review so others can find us!
NOW PLAYING
Inside the Rise of Agentic AI
No transcript for this episode yet
Similar Episodes
Mar 26, 2026 ·1m
Mar 19, 2026 ·34m
Feb 18, 2026 ·11m
Feb 11, 2026 ·45m