The query we refuse to run
A fan trap or chasm trap can inflate an aggregate by 3x and nothing errors. Here is how our Analytics Agent detects the hazard from join cardinality and refuses to ship the wrong number.
Latest
Snowflake Cortex Analyst vs Databricks Genie vs BigQuery Gemini: warehouse-native AI compared
An honest head-to-head of the three warehouse-native AI products. Where each wins, where each loses, and the architectural blind spot they all share.
Why naive prompting isn't a data agent
A staging Postgres taken down. Wrong customers in dashboards. 4% revenue drift. Three production failures that taught us a data agent is context engineering, not prompting.
The Semantic Model Is Having Its Moment
A decades-old BI concept just hit its all-time search peak. Every AI data agent in production now sits on top of a semantic model, and most are locked to one vendor's stack. Here is the history, the current landscape, and the open standard that breaks the lock-in.
Buy a CRM Subscription. Own Your Data Agent.
AI is killing SaaS, but the data agent is the one piece you should own. Here is the architecture OpenAI, Meta, and Notion converged on, and three ways to ship yours.
Document Processing - The Mapping Problem
Semantic mapping turns extracted data into reliable system state. Learn how to build, evaluate, and productionize it.
Document Processing: Validation is Plan A
Most document AI systems fail after extraction. This deep dive explains why validation breaks on an example invoice pipeline and how to fix it.
Document Processing isn't just Extraction
Document processing isn’t just LLMs and OCR. Learn how validation, normalization, and workflows make AI production-ready.
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.
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
Private LLM
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
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.
Market Intelligence
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
Context Engineering
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.
Market Research
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.
Market Research
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
Healthcare AI Solutions
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,
Private LLM
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
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
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