Executive Summary AI is reshaping commercial lending faster than any technology shift in a decade. For CIOs and engineering leaders, the immediate opportunity is to compress cycle times in intake, financial spreading, and borrower data readiness while raising accuracy and auditability. This guide outlines a step by step agentic approach
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.
Finance and Lending AI Solutions
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
AI Evaluation and Testing
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
Context Engineering
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.
Market Intelligence
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
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.
Market Research
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.
Market Research
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
Healthcare AI Solutions
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
Private LLM
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
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.