Whitepaper

“Buy-to-Build” Agentic AI: A Lifecycle Approach to Strategic Innovation and Orchestration

Balancing Control, Cost, and Complexity Across the AI Development, Deployment, and Management Journey.

Engineering leaders and AI builders face a pivotal decision: should you build AI from scratch, purchase an AI agent point solution, or adopt a smarter, hybrid strategy?

Authored by top experts Bill O’Neill (SVP of Engineering at Quiq) and Austin Ramsdale (CEO at TDY.ai), this exclusive whitepaper reveals why the traditional “build vs. buy” is a false dichotomy for sophisticated agentic AI projects and introduces the strategic Buy-to-Build approach that’s changing how forward-thinking organizations approach AI implementation.

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The world's leading brands trust Quiq's agentic AI to power experiences throughout the customer journey.

What you'll discover in this technical deep dive:

🔍 A comprehensive and holistic lifecycle approach to AI: Move beyond simplistic implementation models to understand the full AI lifecycle from design through deployment and beyond.

🛠 The technical realities of pure-build: Uncover the deceptive "prototype illuasion" and why the "last 1% requires 99% of the effort" in production AI systems.

⚠️ The hidden dangers of black-box solutions: Learn about critical orchestration limitations, vendor lock-in risks, and the transparency problems that plague outsourced implementations.

🔄 Agentic AI orchestration architecture: Gain deep technical insights into building robust communication layers, state management systems, and delegation logic engines.

📊 Quantifiable business outcomes: Understand how the buy-to-build approach delivers measurable improvements in development velocity, operational efficiency, and innovation capacity.

🔐 Security and governance frameworks: Explore essential capabilities for implementing guardrails, anomaly detection, and compliance controls at scale.

Who needs this whitepaper:

CTOs and Engineering Leaders planning AI implementation strategies.
AI/ML Engineers and builders seeking best practices for orchestration architecture.
Product Managers balancing innovation speed with technical sustainability.
Enterprise Architects designing for multi-channel AI deployment.

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