Explore why AI governance is essential for measuring ROI and demonstrating business value. Discover how structured oversight enables innovation while managing risk, compliance, and accountability across enterprise AI portfolios.
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Trust is earned through listening first, delivering consistently, aligning around shared goals, and showing up authentically. Not through titles or expertise alone.
Michelle Weston · In Her Own Words
In Conversation
Michelle L. Weston for Bold. Brilliant. Unstoppable.
Read the transcript
Michelle Weston: Speaker: Michelle L. Weston, Business Development Executive, iSG (Information Service Group)Michelle L. Weston: Trust is the most important quality that you need to bring.What does being an Influential Woman mean to you?Michelle L. Weston: Hi, my name's Michelle Weston, and being an influential woman is a very credible way, I believe, to bring meaning to what we're doing so that our clients and our customers see that we have the knowledge and the background, and even the recognition required to help guide them through some of the toughest times that they faced. There're awesome times with technology really at the forefront. Gen AI, AI, as we hear, is really growing very pervasive all over the clients' environments, and sometimes they're not really sure what their risk might be the risk portfolio or what in fact the ROI is on a lot of these initiatives because they're popping up all over their organizations. What I specialize in at ISG is coming in and really asking some of the basic yet pretty tough to answer questions around, Do you know what AI you have in the environment? Not just the bigger initiatives, but where there's co-pilot agents or other types of open AI being leveraged inside of your organization that may in fact be reaching the public internet, creating risk that you're unaware of. Also, not measuring the value that your organization is getting from AI. Certainly executives know that they need to be leveraging AI, but they're also really wanting someone very credible and trustworthy to come in and help them govern these solutions so that they get the most out of it, and it's deliberate, linked to a plan. That's what I specialize in, and I'd love to speak to you more about it. Thank you for listening.What's one piece of advice you would give to younger women chasing their dreams?Michelle L. Weston: Hi, Michelle Weston again. This time, I want to talk to you about what advice should we be giving to younger women who are chasing their career dreams. I'm here to tell you. Trust is the most important quality that you need to bring. That way, people will go to you, come to you, and invite you in to more and more opportunities because they know that even if you have never done a particular task or project type of work, they know that they can trust you to figure it out and that you will raise your hand when you need help. They're there to help you. They want you to be successful, but they need to know that they can trust you and when you prove that you're trustworthy. You will be called upon and your career will grow and grow and grow. That happened to me. I was a very young woman and just married, having a baby, very young, and I was so blessed to have my first job be in the state of Indiana in a mainframe data center where I became an operator. So I started at the very, some would say bottom, although I met a lot of nice people that were operators in data centers. My responsibilities grew and grew because executives learned they could trust me. So they gave me projects that I had never led before, but I was able to do them successfully because I built strong teams around me. That knew they could trust me. Trust me to give them opportunities to show what they could do, but also to help them remove roadblocks so that together we could succeed. So that's an example of where just seeing how your personality, your character traits, portray someone who is very transparent, very honest, right? You have to be honest in order for people to be able to trust you. Sometimes, trust is not just given because of a title or a role. People expect you to earn it. So walk the talk, be trustworthy. And your career will grow. I promise you it will.
Full transcript available
Her Story
About Michelle
Michelle Weston is an accomplished technology executive with more than 37 years of experience leading large-scale IT modernization, digital transformation, and business strategy initiatives across enterprise organizations and global systems integrators. Currently serving in business development at iSG (Information Services Group), she helps organizations leverage advisory services, AI driven insights, and data analytics to optimize vendor management, strengthen governance, and reduce technology costs.
Throughout her career, Michelle has held executive leadership positions, including Chief Technology Officer, Chief Information Officer, and Chief Information Security Officer, where she has led complex transformation programs across multiple industries. Her career began in a state government data center before advancing through leadership roles with organizations including IBM, TCS, DXC, AWS, Accenture, and now iSG.
Her expertise spans cloud modernization, IT outsourcing, enterprise infrastructure, AI strategy, and technology governance. At iSG, she partners with clients to identify opportunities for operational improvement, benchmark technology investments, and achieve measurable cost savings, often ranging from 15 to 35 percent or more, through data driven decision making and strategic sourcing.
Michelle's customer first approach earned her the prestigious Customer Obsession Award at AWS for successfully guiding a major client through a highly complex contract transition while building lasting executive trust.
Committed to lifelong learning, Michelle holds an associate's degree in Business Administration, a bachelor's degree in Ministry from Oceans Unite, a Project Management Certificate from George Washington University, multiple technical certifications, including MCSE, and advanced certifications in infrastructure, applications, and leadership.
Passionate about helping organizations build secure, AI ready technology foundations, Michelle also enjoys mentoring teams through change and innovation. Guided by a servant leadership philosophy, she is known for solving complex challenges, fostering collaboration, and creating lasting value for clients, colleagues, and the organizations she serves.
Her Interview
Ten minutes with Michelle
01What do you attribute your success to?
I attribute my success to building strong relationships and always following through on my commitments. Doing what I say I'm going to do builds trust, and trust creates opportunities. My background in customer service has also taught me the importance of understanding clients' needs and delivering an exceptional experience, which is something I genuinely enjoy.
02What’s the best career advice you’ve ever received?
The best career advice I've ever received is to never sell just to meet a number. Instead, focus on whether the solution is truly the right fit and adds real value for the client. When you lead with integrity and put the customer's needs first, the results—and the opportunities—will come back to you many times over.
03What advice would you give to young women entering your industry?
My advice to young women entering this industry is to choose a career path that aligns with your strengths and interests, whether that's technical, leadership, or sales. Be passionate about what you do, stay curious, and invest time in learning about the companies and opportunities available to you. The more prepared and knowledgeable you are, the more confident you'll be and the greater your potential for success.
04What are the biggest challenges or opportunities in your field right now?
One of the biggest challenges—and opportunities—in my field is ensuring that everyone is aligned on the goals they are trying to achieve before implementing a solution. Success comes from understanding the client's objectives, identifying the right strategy to meet those needs, and working together to reach a fair and mutually beneficial agreement. When there is alignment, trust, and a solution that delivers real value, everyone wins.
Her Content Hub
Articles by Michelle
The ROI Challenge in AI: Why Governance Matters More Than Ever
How governance frameworks transform AI investments from unproven experiments into measurable, enterprise-wide value.
The ROI Challenge in AI: Why Governance Matters More Than Ever
Artificial intelligence has quickly moved from innovation labs to boardroom agendas. Organizations across every industry are investing heavily in generative AI, automation, predictive analytics, and intelligent decision-making capabilities to drive growth, improve customer experiences, and gain a competitive advantage.
Yet, as AI adoption accelerates, many executive teams are asking a fundamental question:
How do we measure the return on our AI investments?
While organizations can often point to successful pilots and promising use cases, far fewer can clearly demonstrate enterprise-wide value. The challenge is not simply about technology. It is about governance.
Without structured oversight, risk often scales faster than value.
The Governance Gap
Many organizations struggle to answer basic questions about their AI landscape:
- What AI use cases are currently operating across the enterprise?
- Who owns them, and how are they risk-tiered?
- What third-party models and vendors are embedded?
- What regulatory exposure exists?
- What measurable ROI is being delivered?
As AI portfolios expand, executives need visibility into both risk and performance. Without that visibility, organizations can find themselves investing in technologies that create excitement but lack a clear connection to business outcomes.
This is where governance becomes critical.
Governance is not about slowing innovation. It is about creating a structure that allows innovation to scale responsibly while maintaining accountability, transparency, and measurable value.
Why Measuring AI ROI Is So Difficult
Unlike traditional technology projects, AI initiatives often generate value in multiple ways simultaneously.
Some reduce operational costs. Others improve productivity, customer satisfaction, decision-making, or risk management. In many cases, the benefits are distributed across multiple business functions, making it difficult to attribute results to a single investment.
As a result, many organizations focus on implementation metrics rather than business outcomes. They track deployments, users, and technical performance but struggle to answer questions such as:
- How much efficiency has been gained?
- What costs have been reduced?
- What revenue has been generated?
- Which initiative should be expanded?
- Which initiative should be retired?
Without a framework for measuring value, organizations risk creating what I call an ROI Shadow: AI initiatives consuming budget and resources without a clear demonstration of business impact.
Four Pressure Points Driving the Need for AI Governance
1. The Transparency Gap
Reporting is often fragmented across business units, technology teams, and vendors.
Visibility into AI inventory, performance, controls, and ownership remains limited, making it difficult for leadership teams to demonstrate oversight and make informed investment decisions.
Organizations cannot effectively manage or measure what they cannot see.
2. Regulatory Pressure
Governments and regulators around the world are increasing expectations around explainability, accountability, risk management, and human oversight.
Meeting these obligations requires more than technical controls. It requires documented governance frameworks, clear ownership structures, decision traceability, and auditable processes across the AI lifecycle.
3. Vendor Complexity
Most organizations rely on an ecosystem of third-party AI platforms, cloud providers, and large language models.
While these partnerships accelerate innovation, they also introduce new challenges related to intellectual property, data privacy, contractual obligations, service-level agreements, and vendor lock-in risks.
Understanding and managing these dependencies requires a structured governance approach.
4. The ROI Shadow
Perhaps the most significant challenge is proving value.
Executives increasingly expect AI investments to demonstrate measurable outcomes, whether in revenue growth, cost reduction, productivity gains, customer experience improvements, or risk mitigation.
Without formal value tracking and reporting, AI initiatives can become difficult to justify, regardless of their potential.
Governance as a Business Enabler
One of the biggest misconceptions about governance is that it creates barriers to innovation.
In reality, effective governance enables innovation by providing confidence, visibility, and accountability.
When organizations establish governance early, they gain the ability to:
- Create a centralized inventory of AI assets.
- Establish ownership and accountability.
- Monitor risk exposure.
- Govern third-party vendors.
- Measure performance consistently.
- Track business outcomes over time.
- Support regulatory compliance requirements.
Most importantly, governance creates a repeatable framework for linking AI investments to business value.
Measuring AI ROI Through a Governance Lens
Organizations should evaluate AI performance using a balanced set of metrics.
Financial Metrics
- Revenue growth
- Cost savings
- Productivity improvements
- Return on investment by use case
Operational Metrics
- Process cycle-time reduction
- Automation rates
- Error reduction
- Efficiency improvements
Strategic Metrics
- Customer experience enhancement
- Employee adoption
- Innovation acceleration
- Competitive differentiation
Risk and Compliance Metrics
- Control effectiveness
- Regulatory readiness
- Third-party risk reduction
- Model governance performance
The goal is not simply to deploy AI. The goal is to create a measurable and sustainable value framework that demonstrates business impact.
How iSG Helps Organizations Close the Governance Gap
At iSG, we recognize that every organization is at a different stage of its AI journey. Some are exploring their first use cases, while others are managing rapidly expanding AI portfolios across multiple business functions.
Our AI governance solutions are designed to meet customers wherever they are and help them build the structure necessary to manage risk, maintain compliance, and maximize value.
Through our governance services, iSG helps organizations with:
AI Inventory and Portfolio Management
Establish visibility across the enterprise by identifying, cataloging, and monitoring AI use cases, models, and vendors. This creates a single source of truth for leadership, risk teams, and regulators.
Governance Framework Design
Develop governance structures, policies, operating models, and accountability frameworks that align AI initiatives with business strategy and organizational risk tolerance.
Risk and Compliance Assessments
Evaluate AI systems against regulatory requirements, ethical principles, and internal controls while identifying potential operational, legal, and reputational risks.
Third-Party AI and Vendor Governance
Assess vendor dependencies, contractual exposures, intellectual property concerns, model transparency, and service-level commitments to strengthen enterprise oversight.
AI Value Realization and ROI Measurement
Define measurable success metrics, track business outcomes, and establish reporting mechanisms that help organizations demonstrate the value generated from AI investments.
Executive Reporting and Oversight
Provide dashboards, governance reporting, and decision-support capabilities that give leaders visibility into performance, risk, compliance, and value realization.
By integrating governance into the AI lifecycle, organizations gain more than compliance. They gain the ability to make better decisions, prioritize investments, and scale innovation with confidence.
Final Thoughts
The organizations that will succeed with AI are not necessarily those deploying the most technology. They are the ones that can govern it effectively, manage risk proactively, and consistently demonstrate business value.
As AI adoption continues to accelerate, the conversation must evolve beyond implementation and innovation. The focus must shift toward accountability, transparency, and value realization.
Innovation creates opportunity.
Governance creates trust.
And when governance is aligned with measurable business outcomes, organizations can finally answer the question every executive board is asking:
What value is our AI investment actually delivering—and how do we prove it?
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