
AgentOps: The Missing Layer in AI-Driven Banking
AgentOps – The New C-Suite Role Nobody Saw Coming!
The CIO of a digital-first bank, a 4-year-old customer, asked me something that stumped me.
Shailendra, we have 25+ AI agents live right now. Customer service, fraud, operations. Working well. However, nobody on my team can tell me who manages them. Like, if two agents contradict each other, who do I call?
I don’t fully know yet. Here is the situation and what we are doing about it.
Everyone’s racing to deploy AI agents (Mind IT also). But we’re creating this massive operational layer with no clear owner. Most orgs don’t even have a job title for it yet.
That’s where this AgentOps thing comes in.
Remember DevOps? When that first showed up, everyone was like – ugh, another made-up role, we already had dev teams and ops teams. Except DevOps wasn’t really about the tech stack. It was about getting people to collaborate. Culture change. Breaking down silos.
AgentOps is kind of similar. Except the stakes are way higher now.
Accenture’s talking about the ’10x bank’ – one person with AI agents doing what took a team of ten. Sounds great. But, you’ve got Cash Flow Forecasting AI, Commercial AI, Cash/ATM Optimisation AI, Automated Lending AI, Predictive Risk and Fraud Prevention AI, and many other AI types, all making real-time decisions. Who is conducting that orchestra?
Nobody’s really answering that question yet.
57% of banking execs expect AI agents to be fully embedded in risk, compliance, audit, and fraud within 3 years. That’s core operations. You need somebody who knows how to govern them, make them work together, and keep humans in the loop for stuff that matters.
So what I am seeing with our clients and others who are a little ahead in this.
The challenge is not building AI agents. The challenge is:
- Governance.
- Accountability.
- Culture change.
When an AI agent screws something up (and they will), someone has to own it, not the algorithm. That’s why AgentOps is going become a boardroom conversation really fast. It’s not an IT problem. It’s a leadership problem that happens to involve technology.
At Mind IT Systems, we’re building AgentOps frameworks that balance automation with accountability, and learning from clients and industry.
– What can agents decide alone?
– What needs human sign-off?
– How do you audit agent decisions?
– How do you train them to collaborate, not compete?
It’s a tough journey, because it is an unfamiliar space. The winners won’t be whoever deploys the most AI agents. It’ll be whoever orchestrates them properly.
Value is never in the tools but in how you bring people, process, and tech together. AgentOps is the same game, with higher stakes.
There are going to be some hard lessons along the way. Curious what you all think.
Sources: Accenture Banking Trends 2026, CIO Dive, Forbes
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About the Author

Shailendra Gupta
(Co-Founder and CEO of Mind IT Systems)
Shailendra is Co-Founder and CEO of Mind IT Systems and is responsible for strategy and business relations.
With around two decades of experience in getting things done in marketing, sales, strategy, delivery, or technology, he has a successful track record of leading startups and mid-size companies and being a prime contributor to stakeholder management, growth, and value creation. A thought leader in the geo-social space, he is highly respected for realizing new paradigms in marketing, solutions, and approaches.