The Quiet Revolution: How Agentic AI Is Reshaping Industries
Is ‘Agentic AI’ in enterprises just another buzzword, or can it genuinely replace manual workflows?
This question is on the minds of leaders across various sectors, from finance and marketing to real estate and cloud infrastructure. The truth is, a quiet revolution is underway. Enterprises aren’t using Agentic AI to replace humans; they’re leveraging it to augment them, freeing up teams to focus on strategy, creativity, and meaningful relationships.
Finance: From Mundane Checklists to High-Level Strategy
Finance teams have traditionally been bogged down by tedious tasks like reconciliation, compliance updates, and manual approval cycles. These processes are essential but consume valuable time. Agentic AI is changing this by automating the “dull but necessary steps.”
According to Sreekrishnaa Srikanthan, Head of Growth at Finofo, AI-driven systems can monitor cash flow, execute treasury actions, and even handle compliance updates autonomously.
The real value lies in liberating finance professionals to focus on strategic conversations and client relationships instead of micromanaging spreadsheets.
- Enterprise takeaway: Agentic AI isn’t about replacing financial expertise; it’s about automating mundane tasks to allow leaders to invest their time in strategic initiatives and building relationships.
Boosting Team Efficiency by Eliminating “Work Around Work”
Every enterprise grapples with workflows that are inefficient and time-consuming. These can range from CRM upkeep and ERP scheduling to file handoffs. Agentic AI is proving it can handle these tasks with minimal human intervention.
Pavel Sher, CEO of FuseBase, highlights how AI acts as a bridge between tedious manual workflows and scalable operations. He notes that AI agents can manage version control and ensure the right context is delivered instantly, saving teams hours on repetitive document updates.
Other experts echo this sentiment:
- Karl Threadgold of Threadgold Consulting uses intelligent agents for resource allocation, leading to fewer operational errors.
- Tom Terronez, CEO of Medix Dental IT, explains that AI can now self-manage backup orchestration, a task that once required constant monitoring by a technician.
- Yarden Morgan of Lusha points out that Agentic AI is streamlining sales operations by handling CRM maintenance, cleaning data, and suggesting optimal outreach timing.
This shift isn’t limited to administrative tasks. Josh Qian, COO & Co-Founder of LINQ Kitchen, describes Agentic AI as a team of “super-powered assistants” that analyze market trends and build predictive models, allowing his team to focus on client vision and creative details.
Richard Harris, Founder of The Harris Consulting Group, puts it bluntly: Agentic AI “augments workflows so an employee can actually do their job, not all the tasks around the job.”
- Enterprise takeaway: Start with small, manageable tasks like document handoffs, CRM hygiene, and scheduling. As trust builds, you can expand into more strategic workflows, leading to increased efficiency and a happier workforce.
Onboarding and Recruitment: Personalization at Scale
Onboarding, whether for new customers or candidates, often suffers from a one-size-fits-all approach. Agentic AI in enterprises is revolutionizing this by adapting workflows in real time to deliver personalized experiences.
Jeff Deutsch from Superpower shares how AI agents personalize onboarding flows based on company size and industry, helping one SaaS team improve their “time-to-value” almost overnight.
The recruitment sector is seeing a similar transformation. Jawad Ahmed, an HR Tech Product Analyst at The Talent Games, notes that instead of manually reviewing thousands of resumes, AI agents can guide candidates through immersive challenges and capture behavioral data. This has allowed one enterprise to cut screening time by 60% while uncovering stronger-fit candidates.
Andrei Blaj, Co-founder of Medicai, has witnessed firsthand how Agentic AI streamlines operations in the medtech sector. Their AI systems now handle more than 50% of customer support requests and significantly reduce the hours spent on document summarization.
- Enterprise takeaway: By automating manual review processes, Agentic AI can provide faster, more personalized experiences for both clients and candidates, eliminating common bottlenecks.
Real Estate: Smarter Targeting and Less Guesswork
In real estate, timing is everything. Manual lead generation often results in wasted effort. Brooks Humphreys, Founder of 614 HomeBuyers, explains how AI-driven algorithms pinpoint homeowners most likely to sell, replacing hours of manual list-pulling and cold outreach. This allows agents to focus directly on warm leads.
- Enterprise takeaway: Use Agentic AI to prioritize where your team’s efforts go. It doesn’t just automate tasks; it makes your team smarter by guiding their focus.
Education Technology: Automating Administrative Burdens
For education-focused enterprises, administrative tasks can be a major pain point. Sandro Kratz, Founder of Tutorbase, saw how Agentic AI automated endless schedling and payroll adjustments for language centers, freeing up staff and improving payroll accuracy.
Or Moshe, Founder of Tevello, adds that AI agents can handle scheduling, module updates, and community engagement for course creators, transforming what was once constant manual upkeep into a self-sustaining process.
- Enterprise takeaway: In EdTech, start with administrative automation. Free educators from spreadsheets so they can focus on their students and the curriculum.
Marketing and Content: From Operational Clutter to Creative Strategy
Marketing involves a mix of creative strategy and repetitive operational tasks. Agentic AI is shifting this balance. Maksym Zakharko, CMO and consultant, shares how they implemented AI agents to handle weekly performance reports and media plan drafts, giving his team more time for strategic thinking.
Brandon Brown, CEO of Search Party, agrees that AI is already doing what once took entire teams—managing creator outreach, scheduling posts, and optimizing campaigns—allowing humans to focus on strategy and relationships.
In content creation, Paul Bichsel, CEO of SuccessCX, views AI as a “skilled co-writer,” accelerating ideation and drafting while preserving human creativity in editing and voice.
Lachlan Brown, Co-founder of The Considered Man, highlights a practical application where an AI agent reduced content brief creation time from 5-6 hours to just 45 minutes, allowing the creative team to focus on strategic refinement and subject matter expertise.
- Enterprise takeaway: Marketing leaders should view Agentic AI as a collaborator that handles operational tasks and scale so humans can focus on the brand, voice, and relationships.
Explore how storytelling got transformed using storii- a real case study by Insnapsys
Cloud and Infrastructure: Reliability Through Self-Healing Systems
Infrastructure downtime is a costly problem. With Agentic AI, self-healing systems are now a reality. Alvin Poh, Chairman of CLDY.com Pte Ltd, recalls how AI-powered infrastructure can now resolve issues before end-users even notice, reducing downtime and building more scalable, reliable services.
- Enterprise takeaway: For SaaS leaders, AI isn’t just about efficiency—it’s about reliability. Leaning into augmentation early can make your systems more resilient as you grow.
The Final Word: The Quiet Power of Agentic AI
The message across all these sectors is clear: Agentic AI in enterprises or otherwise doesn’t replace humans; it replaces friction.
It automates compliance checklists in finance, clears administrative clutter in SaaS, personalizes experiences in HR, collaborates in marketing, and prevents problems in infrastructure.
The enterprises that adopt it wisely are finding more than just efficiency; they are creating space. Space for strategic thinking, creative problem-solving, and building stronger relationships. This is the real revolution: Agentic AI is moving work from “doing tasks” to “driving outcomes.”
