A Roadmap for CIOs to Turn AI Budgets into ROI
AI pilots stall before delivering value. This guide shows CIOs a six step roadmap to focus budgets on high-ROI workflows and measurable outcomes.
Latest
Why Most Generative AI Pilots Fail (and How to Be in the 5% That Succeed)
The State of AI in Business 2025 Report found that 95% of generative AI pilots fail to deliver ROI. This post summarizes the report’s findings and shares Agami’s perspective on how to design pilots that scale into production.
Unlocking the Potential: Top 3 AI Use-Cases in Commercial Lending
AI is no longer a pilot experiment. It is rapidly redefining how commercial lending teams assess risk, move files, and make decisions. For leaders who own credit quality and throughput, the question is how to harness AI to improve margin, control, and speed. Top 3 workflows that matter the most
Unlocking the Future: The Critical Importance of Private AI for Enterprises
Privacy is not a nice-to-have for regulated industries. It is the difference between experimenting with AI and deploying it into production with confidence. Leaders who own security, compliance, and uptime know the path to value looks very different when sensitive data is on the line. The enterprise AI fork: public
Distilling a High-Performance Language Model
How Agami turned a large, costly AI model into a lean, production-ready asset for enterprise use.
Context Engineering vs Fine-Tuning vs Distillation: How to Decide
Choosing between context engineering, fine-tuning, and distillation is key to making LLMs work in production. This guide explains each approach, when to use them, their trade-offs, and how to balance cost, accuracy, and scalability.
How AI Is Transforming Client Delivery for Market Research Firms
How AI helps market research teams scale client delivery with quality, consistency, and insight This is the fourth post in our five-part series on how AI is transforming key workflows in market research firms. In previous posts, we covered the big picture, business development, and knowledge management. “Can You Just
Context Engineering, Part 3: Making Context Work
What does it take to make Context Engineering work in production? In Part 3, we break down the platform components, team setup, key pitfalls, and the real tradeoffs between building your own stack or buying a platform like Agami.
AI for Knowledge Management in Market Research Firms
Market research firms amass vast insights, but poor discovery leaves them underused. AI-powered knowledge management democratizes internal expertise, enabling semantic search, AI summarization, and knowledge graphs that make insights instantly accessible.
How AI Helps Market Research Firms Win More Business
Solving the business development bottleneck with speed, context, and consistency This is the second post in our five-part series on how AI is transforming key workflows in market research firms. If you missed the first post on the big picture, you can read it here. The Proposal Is Due in
Scaling Health Insurance Claims Operations: Achieving Efficiency Without Increasing Headcount or Sacrificing Accuracy
Real-Life Scenario: The Mounting Challenge of Health Insurers’ Claims Operations Picture a leading health insurer at the peak of annual enrollment. The claims operations team faces mounting pressure as incoming claims flood their systems. Every day, a battalion of reviewers sifts through piles of structured data, scanned medical records, and
3 Ways AI Is Helping Market Research Firms Work Smarter
This is the first in a five-part series exploring how AI can help market research firms overcome their most pressing operational challenges. In upcoming posts, we’ll take a deeper look at business development, knowledge management, and client engagement, with real-world examples and solutions.
Context Engineering
Why Context Engineering Beats Choosing the Best LLM Model
Part 2 of our 3 part Context Engineering series. Discover why Context Engineering matters more than selecting the best LLM. Learn how structured context dramatically improves AI reliability.
Market Intelligence
Scaling Smarter: How One Market Intelligence Firm Used AI to Accelerate Research, Proposals, and Client Delivery
A behind-the-scenes look at how a fast-moving team drove results without adding headcount This is the final post in our five-part series on how AI is transforming market intelligence firms. We’ve explored how AI supports business development, knowledge management, and client delivery. Now, we’ll take you behind the
Market Intelligence
How AI Is Transforming Client Delivery for Market Intelligence Firms
How AI helps market intelligence teams scale client delivery with quality, consistency, and insight This is the fourth post in our five-part series on how AI is transforming key workflows in market intelligence firms. In previous posts, we covered the big picture, business development, and knowledge management. “Can You Just
Market Intelligence
AI for Knowledge Management in Market Intelligence Firms
How market intelligence teams are turning internal knowledge into a competitive advantage This is the third post in our five-part series on how AI is transforming key workflows in market intelligence firms. If you missed the earlier posts, we covered how AI supports core workflows and how it accelerates business
Market Intelligence
How AI Helps Market Intelligence Firms Win More Business
Solving the business development bottleneck with speed, context, and consistency This is the second post in our five-part series on how AI is transforming key workflows in market intelligence firms. If you missed the first post on the big picture, you can read it here. The Proposal Is Due in
Context Engineering
Context Engineering: Building Reliable AI Workflows with Real-World Context
Part 1 of a 3-part series from Agami on context engineering—the real engine behind reliable AI. We break down what it is, why it matters more than model choice, and how it powers production-scale outcomes.
Market Intelligence
3 Ways AI Is Helping Market Intelligence Firms Work Smarter
This is the first in a five-part series exploring how AI can help market intelligence firms overcome their most pressing operational challenges. In upcoming posts, we’ll take a deeper look at business development, knowledge management, and client engagement, with real-world examples and solutions.
AI Opportunity Assessment
Exploring AI for Your Business? Start Here
Most AI projects fail, not because the tech doesn’t work, but because it’s misaligned with real business needs. At Agami, we've heard this story again and again from business leaders: there's excitement about AI, but also confusion. Dozens of tools claim to automate everything
Private LLM
What Are Private LLMs and Why Enterprises Need Them
Private LLMs empower enterprises to use generative AI securely, on-premise or in a private cloud. Fine-tuned on internal data, they deliver accurate, compliant insights while protecting sensitive information from third-party exposure or data leaks.