80% of AI Projects Fail—Here’s How Technologists Are Reducing Risk and Accelerating ROI

AI adoption is surging. But according to recent data, 80% of AI initiatives still fail to launch, often due to poor architecture planning, data silos, and low stakeholder buy-in. This isn’t about weak models—it’s about weak readiness.

This is why we created the AI Readiness Workshop. It's for leaders who want to skip proof-of-concept fatigue and build production-grade intelligence. This engagement helps teams audit their technical maturity across:

• ⚙️ Model Alignment: Agentic, generative, or predictive—do you have the right use-case to match the right approach?

• 🧠 Data Infrastructure: From lineage to labeling—can your data pipelines support scalable inference or fine-tuning?

• 🧩 Systems Integration: Will your AI assets play nicely with existing ERP, CRM, or cloud-native ecosystems?

• 🧭 Governance and Cost Containment: Are your strategies aligned with enterprise risk models and budget tolerance?

Tech leaders don’t just want AI—they want modular, interoperable, measurable AI. Our workshop delivers a roadmap to get there—often surfacing gaps that traditional digital transformation programs miss.

Clients have used this blueprint to:

• Forecast cash flow across multi-entity systems

• Automate research processes with LLMs

• Optimize asset replacement using predictive models

It’s not just about building smarter. It’s about building resilient, ethical, and ROI-driven systems—without reinventing the wheel.

🔗 See our full AI Readiness Workshop and how it’s helping technical teams move fast—with clarity.