Your team is using AI.
Is it actually working?
Cadence AI helps organizations get real, measurable value from AI. Not just the technology — the people, the processes, and the standards that make it actually work.
Two kinds of clients. One advisory practice.
Already using AI — output quality is inconsistent, work looks finished but isn't, and there are no standards in place to catch it before it reaches leadership.
Just getting started — you need a clear strategy built around people and process, not just technology. Stakeholder alignment, change management, adoption, and a way to prove value before the organization loses confidence.
Either way, the gap is the same: powerful tools without the operating structure to get real value from them.
Your team is using AI. The work quality is suffering. Nobody has a plan for that.
Employees are submitting AI-assisted decks, summaries, and recommendations that look polished but fall apart under scrutiny. Unsupported claims. Missing evidence. No real thinking behind the output.
Most organizations have been using AI for over a year and still have no standards in place for what good output looks like — or who is accountable when it isn't. The tools were deployed. The people and processes to support them weren't. This is the gap nobody is talking about yet.
See How I Can Help →Output looks finished before it is reviewed
Polished formatting creates the illusion of quality. Errors and weak thinking go undetected until they reach leadership.
No standards for evidence or accountability
Teams were given powerful tools without clear expectations for accuracy, sourcing, or sign-off.
Managers lack the frameworks to catch it
Reviewing AI-assisted work requires a different skill set than reviewing traditional work — and most managers haven't been equipped for it.
Strategy without alignment stalls
Tools get purchased. Pilots get launched. But without leadership alignment upfront, AI initiatives lose momentum before they prove anything.
Adoption without change management collapses
Employees resist what they don't understand. Without a structured change plan, even great tools sit unused.
Tools without value measurement leave leadership skeptical
If you can't show what AI delivered, it's hard to justify the investment — or build the case for what comes next.
Haven't rolled out AI yet? Build it right from the start.
Most AI rollouts fail not because of the technology, but because of the transformation work that surrounds it — the people and the processes. The organizations that get it right invest in strategy, people, process, stakeholder alignment, and value measurement — before a single tool goes live.
With 20+ years of enterprise technology transformation experience, Gina helps organizations build and launch AI the right way. The technology is the easy part. The people, the processes, the change management, the adoption — that's where transformations succeed or fail. That's where she works.
See How I Can Help →AI transformation isn't a technology problem. It's a people and process problem.
Any organization can buy an AI tool. The ones that get real value from it are the ones that also invest in the human side — clear roles, accountable processes, manager readiness, and a culture of evidence over speed.
Employees need more than access to AI tools. They need clear expectations, role-specific guidance, and managers who are equipped to review, challenge, and approve AI-assisted work.
Every AI use case needs a workflow — how work gets created, reviewed, verified, and approved. Without defined process, speed becomes a liability instead of an advantage.
Value doesn't announce itself. Organizations that sustain AI investment build in measurement from the start — tracking adoption, output quality, and business outcomes leadership can see and trust.
"The technology is never the hard part. Getting people and processes aligned around it — that's where every transformation succeeds or falls short."
— Gina Threinen
Every engagement follows a proven methodology.
Whether the work is fixing output quality or building a rollout strategy, Gina brings a structured, repeatable framework to every engagement — built on 20+ years of enterprise transformation experience.
AI didn't create a quality problem. It made an existing one impossible to ignore.
Most organizations have been using AI tools for over a year. The productivity gains are real. But so is the quiet erosion of work quality — polished-looking output that lacks accuracy, specificity, and accountable thinking.
This is the gap nobody has written a playbook for yet. Cadence AI exists to fill it — with practical frameworks, real standards, and the transformation expertise to make them stick.
Book a Diagnostic CallAI makes weak work faster to produce and harder to catch. Rework, bad decisions, and eroded trust in the tools themselves.
Everyone is talking about AI rollout. Almost nobody is talking about what happens to work quality after the rollout is done.
Whether you're building your AI strategy or auditing what it's producing — the goal is the same: real value, not just real activity.
Enterprise transformation experience. AI advisory built on it.
Gina Threinen has spent more than 20 years leading enterprise technology transformations — building strategy, driving adoption, managing change, and proving value from vision. She brings that full arc of experience to AI transformation advisory.
She also teaches in Saint Mary's University of Minnesota's Graduate School of Business & Technology and serves on the University of St. Thomas Graduate Business Alumni Board.
Learn More About Gina →Frequently asked questions
We've already rolled out AI. Can you still help us?
+Yes — and this is actually where the most urgent need is right now. Most organizations have had AI tools in place for a year or more but haven't installed the quality standards, review frameworks, or manager oversight to ensure the work being produced is accurate and valuable. The PROVE framework is built specifically for this stage.
We haven't started our AI rollout yet. Is it too late to plan it properly?
+It's never too late — and the organizations that invest in planning upfront consistently outperform those that don't. The ASCEND framework covers strategy, change management, stakeholder alignment, adoption, and value measurement so you can build AI into your organization the right way from day one.
Do you only work with one AI tool or platform?
+No. The work is tool-agnostic and applies across Microsoft Copilot, ChatGPT, Gemini, internal or custom-built AI tools, and any other workplace AI platform. The focus is on strategy, standards, and quality — not platform configuration.
How is this different from general AI consulting?
+Most AI consulting focuses on technology selection and initial rollout. Cadence AI focuses on the human and organizational side — output quality, manager judgment, change management, adoption, and value realization. It's transformation advisory, not technology advisory.
Do you work with existing HR, L&D, IT, or compliance teams?
+Yes. The goal is always to strengthen existing efforts, not create another silo. Engagements are designed to complement whatever teams and processes are already in place.
Not getting the value you expected from AI? That's the right place to start.
Book a diagnostic call to identify where the gaps are — whether that's output quality, adoption, governance, or strategy.