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Today, we’re pleased to welcome Jonathan M. Gelhaus to TechGrit’s Advisory Board. Jonathan is a veteran enterprise CIO with 27+ years of technology leadership across financial services, insurance, and regulated industries.  TechGrit has been doing enterprise software engineering since 2013. Over more than a decade, we’ve delivered 500+ projects for 70+ clients —building something that doesn’t come from a pitch deck: complex application and systems integrations, multi-year le

Artificial intelligence is no longer experimental in financial services. From fraud detection to underwriting automation and intelligent customer support, AI in FinTech is moving from pilot to production. Yet for many technical and product leaders, the hesitation isn’t about model capability. It’s about integration risk . How do you deploy enterprise AI systems inside regulated, revenue-critical environments without destabilizing core platforms? Across projects, three integra

Next-Generation Document Intelligence Systems The Challenge of Document-Heavy Fraud Detection Organizations across industries face a critical challenge: detecting fraud patterns hidden within massive document collections. Traditional approaches fall short when dealing with thousands of pages per case, requiring innovative solutions that combine speed, accuracy, and deep analytical capabilities. 1000s Pages Per Case 90%+ Detection Accuracy <2s Real-Time Response What is Agenti

Artificial Intelligence is no longer just about single, siloed models generating responses. The future belongs to agentic AI , systems where multiple AI agents can safely access tools, collaborate with each other, and carry out complex workflows. At the core of this transformation are two emerging standards: MCP (Model Context Protocol)  and A2A (Agent-to-Agent communication) . For enterprises, MCP and A2A aren’t just technical protocols; they are enablers of speed, security,