Stay Ahead with AI Insights
Subscribe to our newsletter for expert tips, industry trends, and the latest in AI quality, compliance, and performance— delivered for Financial Services and Fintechs. Straight to your inbox.
80% of Banks Use AI. A Similar Share See No Bottom-Line Impact.
McKinsey's latest report on agentic AI in banking puts a number to a pattern we've been seeing: most banks are stuck in pilot purgatory. Our analysis of what's...
Not All AI Applications Are Created Equal: Why Risk-Appropriate AI Governance Matters
Applying the same governance to every AI application either blocks innovation or exposes you to risk. The three-tier model shows how to match oversight to actua...
Why AI Isn't Just Another Software Project
Most organizations treat AI like any other software project. That assumption is why 99% never reach AI maturity. Here are the three critical differences that ch...
Why 99% of Companies Fail to Reach AI Maturity
Almost all companies invest in AI, but just 1% believe they are at maturity. That's not a technology problem. It's an infrastructure problem.
Chatbot Success Metrics: A 2025 Guide
Vanity metrics don't keep customers or auditors happy. Learn which chatbot metrics actually matter in 2025: coverage, accuracy, compliance, and drift detection....
Synthetic Data with LLMs: Safe Use in 2025 That Works
Synthetic Data: Powerful Tool, Not Automatic Safety Synthetic data lets you test and train without risking real user information. It's powerful when validated a...
AI in Financial Risk Management
Banks want the speed of AI without creating new supervisory problems. The path is clear: pick use cases you can govern, attach tests and monitoring you can prov...
LLM Guardrails: What to Build and How to Test in 2025
Guardrails define what AI systems can accept, retrieve, and produce. They don’t create safety by existing; they earn it through pressure testing. Avido doesn’t...
AI in Finance 2025: Use Cases, Risks and Controls that Scale
Financial institutions face intense pressure to deploy AI, but success depends on pairing valuable use cases with strong controls that satisfy supervisors and b...
AI Governance in 2025: From Policy to Proof that Works
AI governance isn’t a policy PDF. It’s a living system that keeps your models safe, fair, and compliant. In 2025, boards and regulators expect evidence that you...
LLM Guardrails: What to Build and How to Test in 2025
LLM guardrails keep AI safe—but only if they’re tested. Avido doesn’t sell guardrails. We break them to see if they hold. Build guardrails for: Inputs, outputs...
OWASP Top 10 for LLM Apps: Controls and Testing 2025
Language-model systems face unique security risks. This guide walks through OWASP’s latest Top 10 for LLMs and shows how to test and monitor controls that preve...
Detecting RAG Hallucinations: A 2025 Enterprise Guide
Hallucinations make AI unreliable. This piece explains how to detect them in RAG systems through retrieval checks, contradiction testing, and structured QA. It...
AI Uncertainty: Ambiguity or Knowledge Gap?
When your AI says "I'm uncertain," it might not understand the question, or it might not know the answer—and that distinction changes everything. New research f...
Europe’s AI Energy Crisis: GPUs vs Power Grids
GPUs are booming. Power to run them is not. If Europe hosts 20 percent of advanced AI compute, that is roughly 10 GW continuous demand, about 25 million Danish...
GPT-5 Failures Show System Design Matters
Despite the hype around new AI models like GPT-5, recent red-team testing revealed alarming security vulnerabilities—scoring just 2.4% on security and 13.6% on...
Chatbots in Finance: From Search to Money Coach
The financial industry is experiencing a seismic shift in how it interacts with customers. At the heart of this transformation is the evolution of chatbots—from...
Sales Meets Support: Chatbot Best Practices
As financial institutions embrace AI-powered chatbots, the question isn’t just how to automate support—but how to responsibly introduce sales capabilities witho...
AI in Banking: The Financial Revolution Unfolds
Finance now treats AI as essential infrastructure, not an experiment. With half of firms using generative AI and 98% boosting investments, algorithms drive frau...
The Essential Guide to Generative AI Team Composition
From product leaders to backend engineers: a guide to assembling the right mix of roles and mindsets for successful generative AI implementation.
AI Data Retention: Where It Goes and Why It Matters
A guide to enterprise AI data retention and security: understand storage policies, compliance requirements, and governance frameworks for safe AI implementation...
Generative AI: Leadership Guide to Org Design
A guide to structuring generative AI initiatives in your organization: from establishing a Center of Excellence to scaling with distributed teams while maintain...
AI Maturity: Turning Potential into Business Value
Unlock the true potential of AI with Avido's guide on AI maturity. Learn how to transform your organization through strategic phases from Control to Differentia...
Breadth vs Depth: Smarter AI Testing Explained
In AI testing, it’s crucial to focus on both breadth and depth. Learn how variance can reveal unexpected user behaviors and improve your AI’s real-world readine...
AI Evaluating AI: The Future of Quality Assurance
Unlock the potential of AI evaluation with "LLM-as-a-Judge." Learn how leveraging AI can streamline quality assurance and enhance your applications before deplo...
AI’s Blind Spot: LLMs Overrate Their Own Answers
Uncover the surprising bias of LLMs as they favor their own outputs. This article reveals the implications for AI evaluations and the need for objective assessm...