Agentic AI is in production, but is your governance ready? Explore visibility, control, and accountability gaps, plus six principles every enterprise should follow.
About six months ago, one question that was often heard in executive rooms was, “Should we use AI agents?”
Fast forward to the present, the question that leaders ask today is, “How do we know what our agents are doing?”
This shift makes it evident that the industry has surpassed the basic question of whether to implement AI or not .
The executives asking about oversight and governance are asking the right questions and raising some essential red flags regarding AI implementation and sustenance. They understand that capability was never the hard part. Processing an invoice or onboarding a partner is a straightforward technical task. The real difficulty lies in accountability.
Forrester’s State of AI Survey 2025 has identified Governance and Risk as one of the key barriers in AI adoption for enterprises.
When an agent makes a mistake at scale, can you trace the logic? Is there a kill switch to stop the Agent, when needed?
Forrester’s research from 2025 shows that 68% of AI decision-makers use generative AI in production. However, governance infrastructure lags. The report further indicates that the companies operating in the US must now navigate the maze of state and local AI requirements.
There are three specific gaps that create vulnerability in the modern enterprise.
Visibility Gaps: Leadership often lacks a consolidated view of deployed agents. Business units launch shadow agents without notifying the central IT team. This leaves the organization without a complete map of its digital workforce.
Control Gaps: Most AI systems lack a formal kill switch. When an agent misbehaves or goes rogue, teams struggle to find a defined intervention mechanism. The agent keeps running, while humans debate who should stop it.
Forrester’s 2026 report on US AI regulations states, "US legislation to ensure safe, responsible, and transparent AI is now a patchwork of state and local laws, but that doesn’t mean that organizations are off the hook." This has created a tricky environment for enterprises.
To stay safe and compliant, companies are recommended to follow these steps:
Adhere to strict standards: Comply with industry regulations always, including local laws and regulations.
Audit the entire system: Audit how the AI system accesses data and factors in human intervention when things go wrong.
Fix vendor contracts: Most AI vendors offer limited protection. Update your contracts to clearly state who is responsible when a third-party AI model causes a legal problem.
Disorganized orchestration creates significant liabilities for the modern enterprise. Fragmented management leads to serious legal and regulatory exposure as government bodies increase scrutiny on deceptive practices. Organizations find themselves unable to provide audit ready evidence that their agents follow internal policies or safety guardrails. This lack of oversight makes defending against litigation or consumer protection violations extremely difficult.
Gartner’s research highlights a direct link between organizational structure and profitability. A key insight from Gartner’s report, Governance Framework for GenAI and AI Agents in Applications, concerns the impact of a centralized strategy. It advises application leaders to establish a comprehensive GenAI governance framework that bridges the gap between high-level strategy and specific application projects.
Organizations that lack formal agent-orchestration platforms will see lower returns from AI platforms in the future. This is a massive return gap that compounds every quarter.
The problem centers on operating models. Vendors build sophisticated orchestration layers, but enterprises often lack the internal structure to use them. Without clear ownership, orchestration splits across IT, product, and operations.
ROI curves flatten because coordination overhead grows faster than the benefits. Setting up a dedicated office to own autonomy policies is highly recommended. This function serves as the single counterpart to AI vendors and maintains a unified view of risk across the company.
Governance sounds abstract until you have to explain a failed agent decision to a board. These six principles work consistently in enterprise deployments.
There is a massive gap between corporate strategy and daily operations. While many organizations claim to have a centralized AI strategy, only a few tend to apply it consistently. This lack of discipline leads to increased costs and compromised security. Applications become obsolete faster when they do not align with a broader framework.
The organizations winning the race in 2026 have better conditions in addition to better AI models. HFS Horizons: Agentic Technology 2026 report assesses that ‘the bottleneck is no longer the technology but enterprise operating models, data readiness, and governance maturity.’
Mapping controls across international standards like the NIST AI Risk Management Framework is advisable.
This ensures readiness across all jurisdictions. AI vendor indemnifications rarely cover how a customer uses a model. The accountability always stays with the enterprise.
If your goal is operational confidence, then it requires three elements to be true at the same time.
Four Questions for Your Team
Ask your team to find answers to four important questions this week.
If your team cannot answer these questions promptly, then your governance gaps are real.
Fixing these gaps requires an honest audit and a structured plan to close gaps based on risk. If you do not choose a formal path for ownership, then you are choosing bad outcomes by default.
The agents are already on the move. Are you governing them, or are they governing you? Build the infrastructure now. The runway for preparation is shorter than what most boards realize.
Are you looking at answering the ‘How to’ in your Agentic AI adoption journey? You can meet Srikanth Chakkilam, CEO, Covasant, and other leaders from Covasant at HFS Spring Summit in New York, next week. He will be on the HFS Hot Tech Panel as well.
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