Author: IRPA AI Senior Analyst, Kieran Gilmurray
The shift to Agentic AI isn’t speculative anymore. It’s operational, measurable, and already transforming how companies compete.
Picture this: while you’re still brushing your teeth, an AI assistant has already prepped your meetings, flagged urgent messages, and drafted key emails. Not because it’s been programmed for each task, but because it understands your objectives, learns your patterns, and takes initiative. This isn’t future hype. It’s already happening.
This article explores how Agentic AI is reshaping industries by enabling intelligent, goal-driven systems that act independently and in coordination. We’ll examine practical business applications, the structural enablers making them possible, and the emerging business models built around autonomous agents.
From Static Systems to Adaptive Teams
Traditional AI was narrow, and rule bound. It could detect fraud, recommend a product, or transcribe a meeting. Useful yes, but siloed. Agentic systems like AutoGPT or Open Interpreter go further. They break goals into tasks, search for solutions, execute steps, adjust based on feedback, and work across tools.
Imagine replacing a CRM assistant with an AI that not only logs data but chases leads, updates records, drafts outreach, and flags hot prospects; all on its own. That’s the new standard.
Early versions remain imperfect. But they reveal the trajectory: from tools to teammates.
Compound Intelligence: Agents That Work Together
This is where things get interesting. The real leap isn’t a smarter single agent. It’s teams of agents that act like departments. Multi-agent systems mirror how businesses operate: One agent analyses data, another writes, a third checks for compliance, a fourth handles the formatting and delivery.
DeepMind’s AlphaStar showed how multiple agents collaborating could master StarCraft II, a game with imperfect data and constant shifts. In AlphaFold, another multi-agent setup cracked protein folding, a 50-year-old biological puzzle.
This isn’t a lab curiosity. It’s a working prototype of how tomorrow’s businesses will operate.
Industries Already Betting on AI Agents
Healthcare is one of the fastest adopters. Startups like Hippocratic AI deploy agents to handle triage, follow-up care, and even empathetic bedside interaction. One hospital in Singapore updated 600 patient plans overnight via agentic bots.
Retail giants are embedding agents into consumer experiences. Amazon’s Alexa is shifting from assistant to event planner. In finance, platforms like Rebellion Research build adaptive, self-adjusting portfolios that rebalance as conditions change.
Creative industries aren’t standing still. The band YACHT used AI to co-write an album, this is proof that AI can spark, not just replicate, creativity.
Why This Shift Is Happening Now
Several forces align:
- LLMs like GPT-4o and Claude enable natural reasoning and goal decomposition.
- Multi-agent orchestration platforms (from cloud vendors to open-source) allow scalable coordination.
- Economic pressure means firms are chasing higher output at lower marginal cost.
- Open access to APIs and tools lowers barriers to experimentation.
The result? Agent adoption isn’t just for tech giants anymore. It’s a playbook for every company.
New Business Opportunities Emerging
Agentic AI changes the value game. We’re seeing five models gain traction:
-
Hyper-personalisation at scale
Vida Health and Squirrel AI offer custom health and education plans, with AI adapting to each user’s changing needs. -
AI as Teammate
Companies like Pilot and Flexport embed agents into workflows, acting less like bots and more like collaborators. -
Customer Service Autonomy
Zendesk’s agent integrations now resolve over 80% of customer queries without human input. -
Creative Ideation Platforms
Jasper and Jukebox help marketers and artists generate content faster with a feedback loop that keeps improving. -
Smart Infrastructure
Singapore’s transport network and California’s smart grids already use agentic coordination to adjust flow, energy, and logistics in real time.
Business Models Must Evolve
With Agentic AI, value shifts from products to outcomes. Performance-based pricing models, such as those used by Virta Health, link billing to measurable success rather than effort. Modular AI marketplaces like Hugging Face enable teams to assemble agent stacks from pre-trained components, while subscription models make AI a predictable, scalable, and continually improving utility. Organisations are also monetising insights by packaging data into new revenue streams, as seen with Walmart’s analytics division. Meanwhile, co-creation ecosystems like Kaggle and Artbreeder are blurring the boundaries between user and developer, fostering collaborative innovation.
Leadership Must Respond
Boards need a playbook, fast. Here’s what works:
- Pick one goal: “Reduce onboarding from 14 to 5 days.”
- Build three agent pilots. Measure latency, accuracy, cost, and failure rate.
- Run a fortnight sprint. Choose the best agent. Lock it in.
- Establish digital contracts: scope, override, logging.
- Train teams to collaborate with agents, not just use them.
This isn’t about replacing people. It’s about reimagining productivity. Most agentic systems don’t eliminate roles, they eliminate waste. In one logistics case, a parcel firm swapped dispatch desks for agents. In six weeks, on-time delivery rose from 87% to 94%, refunds dropped 28%, and token costs ran at just €3,500/month; less than the salary of four dispatchers.
Conclusion: Don’t Automate. Collaborate.
The third wave of AI is agentic. It acts. It learns. It collaborates. And it’s already making money.
The winning companies won’t just use AI to automate tasks. They’ll embed agents to rethink how work gets done. That’s the leap from process to possibility.
Start now. The future’s already on your payroll.
About the Author: Kieran Gilmurray
Senior IRPA AI Analyst & Advisor, Kieran Gilmurray is a certified executive coach, intelligent automation & digital transformation thought leader & content guru focused on helping solve complicated problems others can't. For the past 25+ years, he has driven business digital transformation programs across a range of industries like digital technologies, intelligent automation, data analytics, social media and robotic process automation, having generated millions of dollars of value.
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Originally posted on 2025-09-03 in the IRPA AI Network — Announcements & Updates