AI Implementation & GRC
We help small and mid-sized businesses bring AI into the workplace with strategy, secure deployment, real staff training, and ongoing oversight — so the tools you pay for actually get used, and used safely.
The state of AI at work
We start by understanding your business — where AI helps, where it doesn't, and what to do first. Tools follow strategy, not the other way around.
Policies, controls, and monitoring are part of the rollout — not a problem you solve later. AI moves fast; your guardrails should be in place before it does.
No IT jargon. No tech-bro arrogance. We translate AI into clear decisions your leadership team can own and your staff can act on.
The Opportunity
Small and mid-sized businesses are adopting AI faster than they're learning to govern it. The companies that close that gap first will win the next decade — and the ones that don't will find out the hard way what happens when sensitive data goes into the wrong tools.
Of organizations report using AI in at least one business function.
Source: McKinsey, The State of AI: Global Survey, 2024
Of leaders say their company's AI rollout has reached full maturity.
Source: McKinsey, The State of AI in Early 2024
Of employees have used AI tools improperly at work.
Source: Salesforce, Generative AI at Work Survey, 2023
Market Reality
The technology works. What breaks is everything around it: unclear goals, messy data, no ownership, no training, no oversight. We focus on exactly those things.
Of AI projects fail — roughly double the failure rate of non-AI IT projects. The good news: the reasons are predictable, and they're addressable before you spend a dollar on tools.
Source: RAND Corporation, "The Root Causes of Failure for Artificial Intelligence Projects," 2024.Tools deployed without a problem to solve.
AI plugged into broken workflows.
"Who owns this?" has no answer.
Tools paid for, never used.
Sensitive data in unapproved tools.
The Stakes
Public, verifiable evidence on what unmanaged AI adoption is already costing businesses. These aren't future risks — they're current ones.
2024 was a record-high year for breach costs — and the trend keeps climbing.
Source: IBM, Cost of a Data Breach Report 2024
One in three organizations report sensitive data leakage through generative AI tools.
Source: Cisco, 2024 Data Privacy Benchmark Study
Of organizations have banned generative AI use after a privacy or security incident.
Source: Cisco, 2024 Data Privacy Benchmark Study
Of breaches involve human error, social engineering, or misuse — exactly what training and governance address.
Source: Verizon, 2024 Data Breach Investigations Report
What We Do
A complete service for SMBs: strategy, secure deployment of Microsoft 365 Copilot, hands-on staff training, and ongoing governance and risk monitoring — all delivered by AGS.
We assess where AI fits in your business, where it doesn't, and what to tackle first. The output is a clear, prioritized plan — not a vendor pitch.
We configure Microsoft 365 Copilot inside your existing environment with the right controls, sensitivity labels, and access policies in place from day one.
Practical, role-based training so people actually use the tools — and use them well. Not generic videos. Hands-on sessions tied to real work.
Policies, risk controls, and ongoing oversight as AI scales across your team. We watch what's happening so you don't have to.
Our Platform Choice
Most of our clients are already on Microsoft 365. Copilot lives inside that environment, which makes it the safest, fastest, and most defensible AI tool for us to deploy and monitor on your behalf.
Your customer data stays inside the Microsoft 365 tenant — it's not used to train foundation models.
Honors Entra ID, Purview, sensitivity labels, and conditional access already in place.
Lives in Outlook, Teams, Word, Excel, and SharePoint. No new apps to roll out.
AGS configures, monitors, and reports on it the same way we manage the rest of your Microsoft 365 environment.
Of Copilot users said they were more productive — when the rollout was done well.
Source: Microsoft, Work Trend Index Special Report, "What Can Copilot's Earliest Users Teach Us About Generative AI at Work?" (2023).
How We Deliver
Five phases. Predictable scope. Accountability at every step.
Phase 1
AI readiness assessment, data inventory, and risk baseline.
Phase 2
Roadmap, use-case prioritization, and governance framework.
Phase 3
Configure Copilot, controls, sensitivity labels, and access policy.
Phase 4
Role-based training and AI usage policy adoption across the org.
Phase 5
Ongoing GRC oversight, usage analytics, and incident response.
Built For
If you're growing, already on Microsoft 365, and your team is using AI tools without a formal policy yet — this is built for you.
Of all U.S. employer firms are small businesses, employing nearly half of the private workforce.
Source: U.S. Small Business Administration, Office of Advocacy, 2024.
Enterprise consultancies don't serve this segment well. SMBs need plain-language strategy, hands-on implementation, and someone who answers the phone. That's AGS.
Our Advantage
Most providers have one half of the equation. We have both — operational depth on the IT side and strategic depth on the AI side — plus a practice leader whose ongoing research is exactly the problem our clients are trying to solve.
AGS
Together
Caroline
Who Leads This Practice
Our AI & GRC practice is led by someone whose academic work, teaching, and hands-on experience are aligned with the exact problem our clients are trying to solve.
Marketing & Business Development, AGS Managed IT · Adjunct Instructor at Walsh College and Macomb Community College
Core Philosophy "AI must strengthen human judgment, not replace it."
Mid-program in two doctorates: a DBA in AI/ML Leadership and a Tech PhD focused on AI/ML.
Small-business adoption of AI: cybersecurity, human-in-the-loop, and GRC.
Teaches AI and marketing at the college level. Designs and delivers practical AI training programs.
Has built and deployed AI agents for educational institutions and professional firms.
Bridges technology, governance, and human decision-making to make AI adoption sustainable over time.
Translates complex AI strategy into decisions leadership teams can actually own and act on.
Schedule a complimentary AI Readiness Conversation with the AGS team. We'll tell you exactly where you stand, where AI fits in your business, and what it would take to get there.