@chrismakaynes

Chrisma Kaynes

@chrismakaynesJoined May 2026

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Chrisma Kaynes's blogs

Agentic AIagentic-ai-workflow.hashnode.dev10 posts

What Happens After an AI Model Goes Live? A Head of Engineering’s View on Model Management

Shipping an AI feature is increasingly becoming the easy part. Keeping it predictable, secure, traceable, and affordable six months later is where engineering teams start seeing the real complexity. I

10h ago · 6 min readagentic-ai-workflow.hashnode.dev

After Funding: Should You Build an AI Team In-House or Engage a Dedicated Product Engineering Pod?

Securing a fresh round of capital changes the operational dynamic of an engineering organization. Prior to funding, the primary objective is rapid experimentation to prove concept viability. Post-fund

Oct 12 · 5 min readagentic-ai-workflow.hashnode.dev

AI in Wealth Management: Why a Smart Demo Is Still Far From a Production Product

AI demos in wealth management have become surprisingly easy to build. Connect a language model to portfolio data, add a conversational interface, and suddenly an adviser can summarize holdings, prepar

Sep 24 · 5 min readagentic-ai-workflow.hashnode.dev

Autonomous AI Agents Are Moving From Chat Interfaces to Operational Systems

For the last few years, enterprise AI has largely been judged by how well it answers a prompt. That benchmark is becoming less useful. The more important question is whether an AI system can understan

Sep 8 · 4 min readagentic-ai-workflow.hashnode.dev

Clinical Trial Software Is Becoming an Operational Control System, Not Just a Tracker

Clinical trial management software is often discussed as a collection of modules: study setup, site management, reporting, budgeting, documents, and dashboards. That framing is becoming outdated. This

Aug 25 · 4 min readagentic-ai-workflow.hashnode.dev

Chrisma Kaynes

About

Available for

Chrisma Kaynes's blogs

What Happens After an AI Model Goes Live? A Head of Engineering’s View on Model Management

After Funding: Should You Build an AI Team In-House or Engage a Dedicated Product Engineering Pod?

AI in Wealth Management: Why a Smart Demo Is Still Far From a Production Product

Autonomous AI Agents Are Moving From Chat Interfaces to Operational Systems

Clinical Trial Software Is Becoming an Operational Control System, Not Just a Tracker

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Chrisma Kaynes

About

Available for

Chrisma Kaynes's blogs

What Happens After an AI Model Goes Live? A Head of Engineering’s View on Model Management

After Funding: Should You Build an AI Team In-House or Engage a Dedicated Product Engineering Pod?

AI in Wealth Management: Why a Smart Demo Is Still Far From a Production Product

Autonomous AI Agents Are Moving From Chat Interfaces to Operational Systems

Clinical Trial Software Is Becoming an Operational Control System, Not Just a Tracker