Introducing DarcyIQ — our AI platform built to help teams move faster without sacrificing quality Explore DarcyIQ →

Categories

5 Steps To Address Your Illusion of Control Over Internal I.T.

The only thing worse than a lack of control is the illusion of control. Deficiencies in IT controls could result in a serious breach for a company, or worse – a CIO’s job. Despite these drastic consequences, improving the system of internal controls remains a low priority for many IT organizations and their leaders.

You don’t need to implement every control, but to maximize your risk mitigation at a low cost you should focus on your organization’s greatest risks. How do you begin to understand your organization’s greatest risks you ask? Get the ball rolling with these five steps:

  1. Assess Your Need for Control – Identify and analyze the severity of IT’s risks; the level of control will be determined by the severity of the risk
  2. Assess Control Coverage – Map current controls to risks and create an action plan to close the gaps in your current control coverage
  3. Establish Controls – Develop and communicate controls effectively to ensure adoption
  4. Monitor and Evaluate Controls – Adapt to changing risks by continuously and effectively monitoring and evaluating your system of internal controls
  5. Assemble Proof of Effective Controls – Provide artifacts to auditors demonstrating your effective system of internal controls

Want to get started but don’t know how, or simply don’t have the time? Contact Innovative Solutions today to gain back control of your I.T.

– Powered by Info-Tech Research Group

Related Case Studies

InPossible Newsletter

Inpossible Newsletter – August 2026

No single choice carries your whole system.

Businesses want one model, one decision, one person to hold the whole answer. AI rarely lets that hold for long. No single model fits every task, which is why the best systems route across several instead of betting on one. A model that performs well today can quietly fall behind within months, whether anyone is watching or not. And the reasoning behind a decision doesn’t travel on its own; it leaves the building the day the person who understood it does.

Read More
AI Systems Have a Half-Life

AI Systems Have a Half-Life

AI systems can lose effectiveness as models are deprecated, standards evolve, and data shifts, even when the original build was excellent. This article makes the case that AI should be treated as a maintained capability rather than a finished project, and shows what that discipline looks like in practice.

Read More
Context Debt Is the New Technical Debt

Context Debt Is the New Technical Debt

Every time an AI project changes hands, valuable business and technical understanding gets lost. This article explores how Forward Deployed Engineering preserves that context so knowledge and value can build over time.

Read More