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Beyond Key pitches roadmap for turning AI pilots into business results

5 hours ago
By AI, Created 19:18 UTC, Jul 13, 2026, AGP -

Beyond Key says American companies are stuck in AI experimentation and need a structured approach to turn investments into measurable outcomes. The Chicago-based Microsoft Solutions Partner is promoting its Right Solution Right Way framework as a path to AI-native operations.

Why it matters: - Many U.S. businesses are investing in AI but not turning those projects into durable operating gains. - The difference between pilot activity and AI-native operations is becoming a competitive issue for efficiency, growth and customer experience. - Beyond Key is targeting that gap with a framework built to connect AI work to business outcomes.

What happened: - Beyond Key introduced its proprietary framework, Right Solution Right Way™, to help organizations move from AI experimentation to scaled adoption. - The Chicago-based Microsoft Solutions Partner focuses on digital transformation, AI and data. - Piyush Goel, CEO of Beyond Key, said many businesses remain in the experimentation phase because they lack a structured approach to scaling AI across the enterprise. - The company framed AI as a defining factor in how organizations compete, innovate and grow.

The details: - Beyond Key says the missing link between AI adoption and business impact is alignment across technology, data, governance and business objectives. - The company identified six common barriers: misaligned AI initiatives, low-quality and fragmented data, governance and security concerns, difficulty measuring ROI, limited internal expertise and problems integrating AI into workflows. - Beyond Key says its approach starts with identifying high-impact AI use cases tied to efficiency, customer experience, decision-making and revenue growth. - The framework includes a data-readiness assessment covering maturity, infrastructure, accessibility and governance. - Responsible AI is built into Beyond Key implementations, with governance, transparency, security and compliance positioned as core requirements. - The approach also aims to create repeatable processes, internal competencies and scalable roadmaps across business units. - Beyond Key says organizations can turn AI into measurable business advantage by focusing on strategy, data readiness, governance and execution. - The company points to insurance as a strong example of AI at scale, citing claims management, underwriting support, fraud detection, customer service automation and advanced analytics. - Beyond Key says insurers can use AI to do more with less, process claims faster, assess risk better and improve personalization. - The company says organizations interested in insurance-focused AI can explore its AI in Insurance offerings.

Between the lines: - The release reflects a broader shift in enterprise AI: the winners are no longer the companies testing the most tools, but the ones building operating models around them. - Beyond Key is positioning itself less as a software vendor and more as a transformation partner that ties AI deployments to governance and business process change. - The insurance focus suggests the company is using industry-specific examples to show that its framework can move beyond generic AI strategy language.

What's next: - Beyond Key says businesses that strengthen data foundations, governance and strategic alignment will be better positioned to adapt faster and compete more effectively. - The company is encouraging organizations to move beyond isolated AI projects and build the capabilities needed to become AI-native. - Beyond Key continues to offer AI-focused work for U.S. companies through its broader digital transformation portfolio.

The bottom line: - Beyond Key’s message is simple: AI investment alone is not enough, and businesses need a repeatable operating framework to convert experimentation into measurable transformation.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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