This article explores how modern LLMs can assist financial forensic professionals with social media asset discovery and investigative intelligence gathering. Using a consistent set of research prompts and investigative scenarios, the article compares the performance of Microsoft Copilot, ChatGPT, Perplexity, and Claude across areas such as accuracy, source transparency, investigative depth, contextual reasoning, and usability. Readers will gain insight into the strengths and weaknesses of each platform, where AI can accelerate investigative workflows, and the limitations practitioners should understand before relying on AI-generated intelligence in forensic engagements. If only I had learned about financial forensics earlier in my life, I…
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AI serves as a double-edged sword, presenting economic risks and the potential to disrupt and harm various industries, while simultaneously enabling significant innovation and growth across many sectors. Yet, for small and mid-sized enterprises (SMEs), the economic value of AI systems is often invisible in financial reporting, lacks legal protections, and is under-leveraged in financing and valuation efforts. In this two-part article, the authors provide a practical guide that builds on earlier articles in the AI as IP™ series and provides SMEs with a step-by-step framework for identifying, classifying, protecting, and monetizing AI assets. Executive Summary Artificial Intelligence (AI) serves…
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This article highlights a practical use case for Claude Cowork: organizing files in a way that saves time and reduces frustration. It explains how AI can help users sort through scattered documents, group related materials, improve naming consistency, and make important information easier to find. Rather than spending valuable time digging through folders and disconnected files, professionals can use Claude Cowork to create a more structured, searchable, and useful file system. The article is designed as a quick introduction and pairs with an external resource for readers who want to see the workflow in action. One of the most practical…
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This article highlights a video resource showing how to add Claude to Excel and start using AI directly inside a familiar spreadsheet environment. The topic is especially relevant for professionals who want faster ways to summarize data, generate formulas, organize information, and reduce repetitive spreadsheet tasks. The video’s core promise is that users can bring the benefits of Claude’s AI model into Excel, opening the door to a more efficient workflow for analysis and reporting. Excel has long been one of the most widely used tools in business, but AI is changing what spreadsheets can do. If you have ever…
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As digital interdependence and geopolitical fragmentation grow, ensuring data authenticity, security, and regulatory compliance is more crucial than ever. Trust in data has eroded due to the opaque nature of AI systems, varying regulatory regimes, and governance gaps, reinforcing a critical need for transparency and accountability. The authors of this article discuss the regulatory framework, importance of data protection, risks of failing to protect the same, and how protected data is of value key to the use of AI. Introduction Ensuring data authenticity, security, and regulatory compliance is more crucial than ever as digital interdependence and geopolitical fragmentation continue to…
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Microsoft Copilot is rapidly becoming one of the most talked-about AI tools in the workplace, but many organizations discover that enabling it is not as simple as flipping a switch. The biggest hurdle is often licensing. Different versions of Microsoft 365 include different capabilities, and not every plan supports Copilot. This article explains how to quickly determine whether your organization has the correct Microsoft 365 licensing for Copilot, what prerequisites are required, and how to identify gaps before attempting deployment. It also outlines the key licenses that are compatible with Copilot and provides a resource for checking your environment. Microsoft…
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This article explains how professionals can use ChatGPT to create custom dashboards from virtually any dataset—without needing advanced programming skills. It walks through how AI can assist with structuring raw data, identifying key performance indicators, generating visualizations, and even producing dashboard-ready code that you can view immediately. The piece highlights how AI reduces development time, improves insight discovery, and allows consultants and advisors to rapidly prototype and deploy decision-support tools for clients. A companion video resource demonstrates the full process step-by-step. Data is everywhere—but insight is not. Consultants, valuation professionals, and financial advisors constantly work with spreadsheets, exports from accounting…
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On January 30, 2026, Anthropic released legal plugins for its Claude AI that automate contract review, compliance tracking, and legal analysis. Within three days, $285 billion in market value evaporated from legal software and publishing companies. This was not a correction. It was a signal. The AI companies are no longer content selling infrastructure, now they are coming for the legal, financial, and forensic analysis applications themselves. The author discusses the legal and practical repercussions that the new Federal Rule of Evidence would have on financial forensics expert witnesses and the litigation support professionals. On January 30, 2026, Anthropic released…
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I also get asked about the technology behind AI and have wanted to create an easy-to-read guide on the topic. So, here it is! This guide serves as a foundational primer on modern AI, written for readers who want to understand the technology without needing a technical background. It walks through the major building blocks of today’s AI ecosystem, including large language models, generative AI, machine learning, neural networks, tokens, vector databases, RAG systems, and AI agents. Each concept is explained using analogies and simple examples so readers can quickly grasp how the pieces fit together and how tools like…
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Learn how to run an LLM on your computer so you do not have to worry about exposing client data. If you have been curious about protecting your client data but you still want the benefits of using AI, this video is for you. Today I am going to show you a simple way to run AI directly on your own computer; no cloud required. In the next few minutes, you will see how to use GPT4All to run a local LLM so you can test ideas, stay in full control of your data, and still get the power of…
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Confidentiality remains the first and most immediate area of professional risk. Many AI tools store inputs, transmit data to outside servers, or use information to train future models. For valuation professionals handling confidential data, the stakes are high. The author shares how to use AI and adhere to professional and ethical standards. Artificial intelligence (AI) has rapidly become part of the daily toolkit for many valuation and financial forensic professionals. Whether used for data cleanup, modeling assistance, industry research, or drafting support, AI can reduce time spent on lower-value tasks and help analysts focus on judgment, interpretation, and communication. If…
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Fraud and financial crime have become increasingly complex and create pervasive issues for organizations of all sizes and specialties. As a result, advanced technology and AI have emerged as invaluable tools in the fight against such issues. This article focuses on how advances in AI and machine learning can aid forensic investigation procedures and further bring the detection of fraud and other financial crimes into the digital age. Introduction In today’s rapidly evolving digital landscape, fraud and financial crime have become increasingly complex and create pervasive issues for organizations of all sizes and specialties. As a result, advanced technology and…
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Learn how to create a Custom GPT with AI writing the prompts for you! In this short demo, I will show you how to create a goal-setting Custom GPT. Here is a practical way to put AI to work in your consulting practice. If you find yourself using the same prompt over and over, you can automate it by creating what OpenAI calls a Custom GPT. Every AI platform has its own name for this concept, but the idea is the same: a reusable, automated prompt that delivers consistent results whenever you need it. In the video, I walk through…
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In investigations requiring eDiscovery and digital forensics, AI can be a powerful complementary tool. It enables the analysis of digital information in ways that are both efficient and insightful. This article explores practical recommendations and processes for implementing AI in digital investigations and their workflows. Introduction When most people think of Artificial Intelligence (AI), they often envision Generative AI (Gen-AI) tools that create content (such as images, videos, or text) or imagine futuristic scenarios involving intelligent robots or dystopian worlds where AI becomes self-aware, like Skynet and the T-800 from Terminator. While these ideas are fascinating, the real-world impact of…
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Drawing from a presentation at the 2025 NACVA BVFL Super Conference by Glenn Block and Greg Clark, this article explores key elements of effective engagement letters, common pitfalls, and practical examples to guide valuation experts in crafting robust agreements. In the ever-evolving landscape of business valuation and forensic accounting, engagement letters serve as a cornerstone of professional practice. As highlighted in the 2025 NACVA presentation by Glenn Block and Greg Clark, these documents are not mere formalities. Rather, they are strategic tools that can protect practitioners, clarify expectations, and ensure compliance with professional standards. Drawing from the presentation, this article…
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AI remains a flawed practice companion. In addition to the possibility of hallucinated case citations and incorrect legal analysis, the use of AI introduces data privacy concerns and risks misadvising individuals due to overly generalized AI conclusions. In this article, the author addresses the following: Does the use of AI in litigation represent true artificial intelligence, or is it artificial interference preventing a just outcome? Artificial intelligence (AI) is rapidly transforming the modern-day legal landscape, offering tools for research, drafting, fact development, document review, expert services, jury selection, and even predicting case outcomes. If used correctly and with robust safeguards,…
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Here is a practical use for AI in your consulting practice. If you ever need to create training for a new employee or intern, you will find this method very useful. It will save you hours of time and make you look like a well-organized firm. We will use Perplexity in this demo, but you could use your favorite AI chatbot to do the same thing. Watch this video to see how to create professional video training on any topic in a few short minutes. Colin Brown is the CTO of Syncnet.com and helps consultants implement AI into their practice.…
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Among the most pressing concerns is the phenomenon of AI washing, which can be the practice of overstating or misrepresenting a company’s AI capabilities or can be the increased acceptance of low-quality output. While it may be a trendy marketing tactic, AI washing can also carry significant legal liabilities and valuation distortions that demand scrutiny. The author discusses her views on AI washing and the implications for companies and professionals that view it as a panacea. With all the Artificial Intelligence (AI) prefixes affixed to articles, software, and paid gateway add-ons, buyer’s remorse and cautionary tales are slowly creeping into…
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The author states that over the past year, he has seen clients use AI tools to “check” his work, draft their own valuation commentary, and even generate critique his reports. While he welcomes their curiosity, some encounters have been alarming. Artificial Intelligence (AI) is no longer just a topic for webinars or conference panels. It is now part of daily client interactions. Over the past year, I have seen clients use AI tools to “check” my work, draft their own valuation commentary, and even generate critiques of my reports. While I welcome curiosity, some encounters have been alarming. Ready or…
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How to deal with the risks. Many consultants are understandably concerned about uploading client information into ChatGPT. The biggest fear is that sensitive, identifiable data could be exposed, shared with others, or even used to train future AI models. Watch this video to show you how to deal with the risks. Colin Brown is the CTO of Syncnet.com and helps consultants implement AI into their practice. He can be contacted at https://Syncnet.com or cto@syncnet.com.