# Agathon.ai - AI Consultancy > Senior AI expertise with direct access. Real outcomes. Agathon is a boutique AI consultancy founded by Dr Colin Kelly, providing hands-on senior expertise across product development, technical due diligence, leadership advisory, and fractional CTO services. ## Founder Dr Colin Kelly — Founder & Principal Consultant - PhD in Natural Language Processing, University of Cambridge - BA in Mathematics & Computer Science, University of Oxford - 15+ years commercial AI delivery across financial services, telco, and automotive - Former applied AI research lead with a track record of building production ML systems - Expertise: LLMs, NLP, AI strategy, AI due diligence, AI product development ## Services - **AI Product Pioneering**: Hands-on development of sophisticated AI products that exploit full technical potential - **AI Due Diligence**: Technical assessment that separates real AI capability from marketing claims, for investors and acquirers - **AI Leadership Advisory**: Strategic consulting to build internal AI capability and reduce outside dependencies - **Fractional AI CTO / Head of AI**: AI-led executive technical leadership with decision authority ## Training & Workshops - **LLM Strategy for Business Leaders** (1 day, Executive): Framework for identifying high-impact LLM opportunities and building AI roadmaps - **Applied Prompt Engineering for Teams** (2 days, Technical): Battle-tested techniques for reliable, production-quality LLM outputs - **Building Production AI Agents** (2 days, Advanced): Architecture patterns for deploying autonomous AI systems with enterprise guardrails ## Website Structure ### Main Pages - Home - Agathon AI Consultants: https://agathon.ai/ Boutique AI consultancy led by Dr Colin Kelly. Independent AI due diligence for investors and strategic AI advisory for leaders. - About - Agathon: https://agathon.ai/about Learn about Agathon's team of AI experts and our approach to AI consultancy. - Services - AI Consultancy: https://agathon.ai/services Comprehensive AI consultancy services including strategy, implementation, and training. - Contact - Get in Touch: https://agathon.ai/contact Contact Agathon for AI consultancy services and project inquiries. - AI Readiness Assessment: https://agathon.ai/readinessassessment Assess your organization's readiness for AI implementation. - Training Services: https://agathon.ai/training AI training and education services for teams and organizations. - Which LLM Tool: https://agathon.ai/whichllm Tool to help determine the right LLM for your specific needs. - AI Agent Framework: https://agathon.ai/frameworks/ai-agent Framework and guidance for building AI agents. - Case Studies: https://agathon.ai/case-studies Selected case studies from AI consulting engagements across product development, technical leadership, and advisory. - Insights - AI Blog: https://agathon.ai/insights Latest insights, articles, and thought leadership on AI topics. ### Case Studies - Fractional CTO Building Patent-Pending AI Product from Zero to Beta: https://agathon.ai/case-studies/fractional-cto-ai-product-zero-to-beta Industry: Executive Communications Services: AI Product Pioneering, Fractional CTO From zero technical capability to a patent-pending, category-defining AI product in beta with enterprise users. A 20-month fractional CTO engagement, completed in 2026. - AI Strategy and Implementation Roadmap for a Major Global Foundation: https://agathon.ai/case-studies/ai-strategy-implementation-roadmap-global-foundation Industry: Global Philanthropy Services: AI Leadership Advisory Agathon designed and delivered a comprehensive AI strategy for the communications division of a major global foundation. In six weeks, we turned a set of promising experiments into a funded plan: a phased implementation roadmap, technical blueprints, a working prototype, and an investment framework for the organisation's senior communications leadership. - AI Leadership Advisory: Transforming a Communications Firm's AI Capability: https://agathon.ai/case-studies/ai-leadership-advisory-communications-firm Industry: Strategic Communications Services: AI Leadership Advisory A fragmented team experimenting with ChatGPT individually became a team with shared frameworks, tested playbooks, and a concrete roadmap for AI-enabled products and workflows. Two-month AI Leadership Advisory engagement. ### Blog Posts & Insights - Why I make clients pay for the part everyone wants for free: https://agathon.ai/insights/why-i-make-clients-pay-for-the-part-everyone-wants-for-free Published: 2026-06-26 Categories: AI Strategy, AI Consulting, Generative AI Summary: Cheap generation made working prototypes trivial; knowing what deserves to be built remains the only job that matters. - What "sovereign AI" actually means, and when it matters: https://agathon.ai/insights/what-sovereign-ai-actually-means-and-when-it-matters Published: 2026-06-09 Categories: AI Strategy, LLMs, AI Advisory Summary: A clarifying primer that recasts "sovereign AI" not as a slogan but as control across four layers - data, compute, weights, governance - and shows that only a small, identifiable minority of enterprise workloads genuinely need more than the data layer existing tools already provide. - Inside sovereign AI governance: How it works when the frameworks meet reality: https://agathon.ai/insights/inside-sovereign-ai-governance-how-it-works-when-the-frameworks-meet-reality Published: 2026-05-28 Categories: AI Strategy, Responsible AI, AI Advisory Summary: Sovereign AI governance fails not at the framework level but in the gap between documented controls and operational reality, where jurisdictional contradictions, supply chain dependencies, and untested incident response processes accumulate risk that compliance paperwork cannot see. - We've deployed Microsoft Copilot 365. Now what?: https://agathon.ai/insights/weve-deployed-microsoft-copilot-365-now-what Published: 2026-05-28 Categories: AI Strategy, AI Consulting, Generative AI Summary: Deploying Microsoft Copilot is a logistics problem; extracting value from it is an organisational one, and most companies confuse finishing the first for starting the second. - Securing AI agents: Why tool use creates new attack surfaces: https://agathon.ai/insights/securing-ai-agents-why-tool-use-creates-new-attack-surfaces Published: 2026-05-28 Categories: AI Agents, AI Strategy, Responsible AI Summary: Securing AI agents requires treating the surrounding architecture as the threat surface, not the model itself, because authentication gaps, over-provisioned tool access, and prompt injection vulnerabilities combine to make your most capable agents your most dangerous ones. - What every startup founder should ask when hiring an AI advisor: https://agathon.ai/insights/what-every-startup-founder-should-ask-when-hiring-an-ai-advisor Published: 2026-05-28 Categories: AI Advisory, AI Strategy, AI Consulting Summary: Hiring an AI advisor is a technical architecture decision disguised as a people problem, and most founders make it by selecting for exactly the wrong qualities. - How AI Consulting Services Drive Digital Transformation: https://agathon.ai/insights/how-ai-consulting-services-drive-digital-transformation Published: 2026-05-27 Categories: AI Consulting, AI Strategy, Machine Learning Summary: Most AI transformation programmes fail not because of technology, but because organisations treat it as a deployment problem rather than an organisational redesign challenge. - AI adoption strategy: why centralise, decentralise, and wait-and-see all fail: https://agathon.ai/insights/ai-adoption-strategy-why-centralise-decentralise-and-wait-and-see-all-fail Published: 2026-04-29 Categories: AI Strategy, AI Consulting, AI Advisory Summary: Centralising, decentralising, or waiting on AI all fail for the same reason: organisations treat adoption as a deployment problem rather than an organisational learning challenge. - What I've Learned Shipping AI Products That Most Consulting Advice Gets Wrong: https://agathon.ai/insights/what-ive-learned-shipping-ai-products-that-most-consulting-advice-gets-wrong Published: 2026-03-26 Categories: AI Strategy, AI Consulting, NLP Summary: Most AI product strategy advice fails in practice because the real challenges -- architectural rewrites, evaluation infrastructure, feedback loops, nonlinear timelines, and production edge cases -- only reveal themselves through hard-won experience of actually shipping AI systems. - The AI Team Decision: When to Build Internally, When to Stay Fractional, and When to Do Both: https://agathon.ai/insights/the-ai-team-decision-when-to-build-internally-when-to-stay-fractional-and-when-to-do-both Published: 2026-03-04 Categories: Fractional CTO, AI Strategy, AI Advisory Summary: Rather than treating AI resourcing as a binary "build or outsource" choice, companies should honestly assess their maturity and progress through a natural sequence — from fractional external leadership, to a hybrid model that builds internal capability, to a self-sufficient team — hiring only when clear readiness signals are met, since premature hiring is far costlier than most leaders expect. - What Happens After You Discover The AI Isn't Real: a Due Diligence Decision Framework: https://agathon.ai/insights/what-happens-after-you-discover-the-ai-isnt-real-a-due-diligence-decision-framework Published: 2026-03-03 Categories: AI Advisory, AI Strategy, Machine Learning Summary: This article provides a practical framework for investors to categorise AI misrepresentation discovered during due diligence — from marketing exaggeration to outright fraud — and translate those findings into appropriate deal structures, remediation costs, and walk-away decisions. - Why AI Startups Need a Different Kind of CTO, and What That Looks Like: https://agathon.ai/insights/why-ai-startups-need-a-different-kind-of-cto-and-what-that-looks-like Published: 2026-02-25 Categories: Fractional CTO, AI Strategy, Machine Learning Summary: AI-native startups fail when they hire traditional software CTOs who apply deterministic thinking to inherently probabilistic AI systems, creating a critical but overlooked leadership gap that costs companies months of misdirected effort. - The Investor's Technical Due Diligence Playbook: What Most AI Assessments Actually Miss: https://agathon.ai/insights/the-investors-technical-due-diligence-playbook-what-most-ai-assessments-actually-miss Published: 2026-02-24 Categories: AI Strategy, AI Consulting, Machine Learning Summary: Current AI due diligence processes fail because they apply traditional software evaluation frameworks to fundamentally different AI risks, missing crucial questions about data provenance, model defensibility, and the intersection between technical depth and strategic positioning. - Best Consulting Firms for Defining Your AI Strategy in 2026: An Honest Buyer's Guide: https://agathon.ai/insights/best-consulting-firms-for-defining-your-ai-strategy-in-2026-an-honest-buyers-guide Published: 2026-02-06 Categories: AI Strategy, AI Consulting, Fractional CTO Summary: This guide argues that choosing the right AI strategy consultant depends on matching your company's specific needs, size, and budget to the appropriate type of firm (whether global consultancies for enterprise credibility, specialist boutiques for technical depth, or independent consultants for focused expertise) rather than simply picking the most famous name. - The key metrics to measure the ROI of your LLM deployments: https://agathon.ai/insights/the-key-metrics-to-measure-the-roi-of-your-llm-deployments Published: 2026-02-06 Categories: LLMs, AI Strategy, AI Consulting Summary: Most organisations measure LLM success using traditional software metrics whilst sitting on transformational cognitive infrastructure they barely understand how to evaluate properly. - EU AI Act Explained: Compliance Requirements and Business Impact: https://agathon.ai/insights/eu-ai-act-explained-compliance-requirements-and-business-impact Published: 2026-01-30 Categories: AI Strategy, Responsible AI, AI Consulting Summary: The EU AI Act's extraterritorial reach and risk-based classification system will reshape global AI development by creating competitive advantages for organisations that build regulatory compliance into their systems from conception rather than retrofitting it later. - Why Most AI Projects Fail Without Expert AI Consulting: https://agathon.ai/insights/why-most-ai-projects-fail-without-expert-ai-consulting Published: 2026-01-23 Categories: AI Strategy, AI Consulting, Machine Learning Summary: Most organisations fail at AI because they mistake building models for building systems, burning millions on architectural decisions that doom projects from the start whilst ignoring the expertise gap that separates proof-of-concepts from production reality. - Building a Secure LLMOps Pipeline: From Development to Production: https://agathon.ai/insights/building-a-secure-llmops-pipeline-from-development-to-production Published: 2026-01-23 Categories: LLMs, AI Strategy, Machine Learning Summary: Most organisations treat LLM security like traditional DevOps while ignoring novel attack vectors through model weights, training data, and prompt injection that conventional tools cannot detect. - Why tokenization matters: CharGPT vs ChadGPT: https://agathon.ai/insights/why-tokenization-matters-chargpt-vs-chadgpt Published: 2026-01-23 Categories: AI Strategy, Machine Learning, LLMs Summary: GPT-4 struggles to count letters in "CharGPT" versus "ChatGPT" because tokenisation (the process of breaking text into processable units) fundamentally shapes what AI models can perceive, revealing why some companies' AI implementations fail at the architectural level rather than the reasoning level. - Thin wrapper or true AI? Technical due diligence for AI investments: https://agathon.ai/insights/thin-wrapper-or-true-ai-technical-due-diligence-for-ai-investments Published: 2026-01-16 Categories: AI Strategy, Machine Learning, NLP Summary: Despite widespread AI claims in company pitch decks, 95% of generative AI pilots are failing, creating a massive gap between marketing promises and reality that requires rigorous technical due diligence to distinguish genuine AI capabilities from superficial implementations. - Best AI consultancies for 2026: navigating the agentic era: https://agathon.ai/insights/best-ai-consultancies-for-2026-navigating-the-agentic-era Published: 2025-12-27 Categories: AI Strategy, Machine Learning, AI Consulting Summary: AI consulting in 2026 shifts from strategy to implementation as enterprises demand partners who can actually build and deploy working AI systems, not just create PowerPoint decks. - The business applications of reinforcement learning: why most enterprises are leaving billions on the table: https://agathon.ai/insights/the-business-applications-of-reinforcement-learning-why-most-enterprises-are-leaving-billions-on-the-table Published: 2025-12-05 Categories: Machine Learning, Reinforcement Learning, AI Strategy Summary: Most companies are building static AI calculators when they could create adaptive systems that continuously optimise performance through environmental interaction—missing billions in potential value through reinforcement learning applications. - Finding a trusted AI consulting partner: beyond the marketing veneer: https://agathon.ai/insights/finding-a-trusted-ai-consulting-partner-beyond-the-marketing-veneer Published: 2025-10-30 Categories: AI Consulting, AI Strategy, Fractional CTO Summary: Most AI consultancies are selling yesterday's chatbots whilst genuine expertise lies in architecting sophisticated systems that exploit technical potential others cannot even perceive. - The leader's guide to building AI aptitude in your organisation: https://agathon.ai/insights/the-leaders-guide-to-building-ai-aptitude-in-your-organisation Published: 2025-09-15 Categories: AI Strategy, Responsible AI, AI Advisory Summary: Most organisations treat AI implementation like building rudimentary websites in 1995: functional but missing the architectural sophistication needed to exploit AI's genuine competitive potential beyond basic automation. - AI-enhanced scenario planning: techniques for modern boardrooms: https://agathon.ai/insights/ai-enhanced-scenario-planning-techniques-for-modern-boardrooms Published: 2025-09-08 Categories: AI Strategy, Generative AI, AI Agents Summary: Modern boardrooms are squandering AI's potential in scenario planning by digitizing outdated methods rather than implementing sophisticated systems that explore true possibility spaces through causal inference, complex adaptive modeling, and counterfactual testing. - Cost-effective LLM implementation: when to fine-tune and when to prompt: https://agathon.ai/insights/cost-effective-llm-implementation-when-to-fine-tune-and-when-to-prompt Published: 2025-09-01 Categories: LLMs, AI Strategy, Machine Learning Summary: Most companies are burning money on LLM implementations by defaulting to expensive fine-tuning when sophisticated prompting could achieve comparable results at a fraction of the cost and complexity. - AI governance: what business leaders need to know: https://agathon.ai/insights/ai-governance-what-business-leaders-need-to-know Published: 2025-08-25 Categories: AI Strategy, Responsible AI, AI Advisory Summary: Most organisations are building AI compliance theatre whilst competitors build capability fortresses, treating governance as bureaucratic overhead rather than the competitive advantage that enables sustainable AI deployment. - From guidelines to guardrails: operationalising AI ethics in product development: https://agathon.ai/insights/from-guidelines-to-guardrails-operationalising-ai-ethics-in-product-development Published: 2025-08-18 Categories: Responsible AI, AI Strategy, AI Consulting Summary: AI ethics must shift from performative checkbox exercises to embedded technical guardrails that transform ethical principles into operational constraints throughout the entire development lifecycle. - Hiring a fractional head of AI to complement your existing technical team: https://agathon.ai/insights/hiring-a-fractional-head-of-ai-to-complement-your-existing-technical-team Published: 2025-08-15 Categories: Fractional CTO, AI Strategy, Responsible AI Summary: A fractional Head of AI bridges the critical gap between technical expertise and strategic AI leadership, enabling organisations to unlock their AI potential without the overhead of a full-time executive. - Self-improving systems: the AI architecture pattern everyone talks about, nobody builds: https://agathon.ai/insights/self-improving-systems-the-ai-architecture-pattern-everyone-talks-about-nobody-builds Published: 2025-07-28 Categories: AI Strategy, Generative AI, AI Agents Summary: Despite the hype, truly self-improving AI systems remain theoretical due to fundamental technical and organizational barriers, with today's "self-improving" implementations being merely constrained optimization within predetermined parameters. - Parameter-efficient fine-tuning: what business leaders need to know: https://agathon.ai/insights/parameter-efficient-fine-tuning-what-business-leaders-need-to-know Published: 2025-07-07 Categories: Machine Learning, AI Strategy, Responsible AI Summary: Parameter-efficient fine-tuning revolutionises AI model customisation by enabling comparable performance with just a fraction of the computational resources, offering businesses a strategic advantage over competitors using outdated, expensive full-model approaches. - The curse of dimensionality: when more data becomes your enemy: https://agathon.ai/insights/the-curse-of-dimensionality-when-more-data-becomes-your-enemy Published: 2025-07-02 Categories: Machine Learning, AI Strategy, AI Consulting Summary: The curse of dimensionality paradoxically undermines AI performance as data dimensions increase, creating mathematical conditions where distance metrics collapse and models fit noise rather than signal. - The future of AI for lawyers: transforming legal practice in the digital age: https://agathon.ai/insights/the-future-of-ai-for-lawyers-transforming-legal-practice-in-the-digital-age Published: 2025-07-02 Categories: NLP, Machine Learning, Responsible AI Summary: Legal AI is vastly underutilized, with true innovation lying not in basic document tools but in sophisticated neural-symbolic architectures that authentically model legal reasoning rather than merely mimicking paralegal functions. - Richard Sutton's bitter lesson explains why your AI solution feels shallow: https://agathon.ai/insights/richard-suttons-bitter-lesson-explains-why-your-ai-solution-feels-shallow Published: 2025-07-01 Categories: AI Strategy, Machine Learning, Generative AI Summary: Sutton's bitter lesson reveals that most AI implementations feel shallow because they prioritize domain expertise over computational scale, leaving roughly 80% of potential untapped. - Top AI consulting companies for 2025: the rise of boutique technical excellence: https://agathon.ai/insights/top-ai-consulting-companies-for-2025-the-rise-of-boutique-technical-excellence Published: 2025-06-21 Categories: AI Strategy, Generative AI, Responsible AI Summary: In 2025, boutique AI consulting firms are outpacing traditional giants by offering tailored, innovative solutions that meet specific client needs, reshaping the consulting landscape. - Beyond the hype: creating measurable ROI with LLM implementations: https://agathon.ai/insights/beyond-the-hype-creating-measurable-roi-with-llm-implementations Published: 2025-05-31 Categories: LLMs, Responsible AI, AI Strategy Summary: Despite their transformative potential, Large Language Models (LLMs) necessitate robust evaluation and strategic implementation to ensure they deliver real value rather than becoming a costly gamble. - Contextual chunking strategies that improve RAG performance: https://agathon.ai/insights/contextual-chunking-strategies-that-improve-rag-performance Published: 2025-04-15 Categories: Generative AI, Machine Learning, Responsible AI Summary: In the evolving AI landscape, mastering contextual chunking is essential for optimising Retrieval-Augmented Generation (RAG) performance. - Understanding how QLoRA works: https://agathon.ai/insights/understanding-how-qlora-works Published: 2025-04-14 Categories: LLMs, Machine Learning, Generative AI Summary: QLoRA revolutionises the fine-tuning of large language models by combining quantisation and low-rank adaptation to significantly reduce memory usage while preserving performance, making advanced AI accessible to a broader range of users. - Small LLMs — why they matter: https://agathon.ai/insights/small-llms-why-they-matter Published: 2025-04-14 Categories: LLMs, Responsible AI, NLP Summary: Small language models (SLMs), characterised by their efficiency and versatility, are emerging as pivotal tools for language processing, offering significant advantages in resource optimisation and accessibility, while challenging the dominance of larger models. - Diffusion models: a simple explainer: https://agathon.ai/insights/diffusion-models-a-simple-explainer Published: 2025-04-13 Categories: Generative AI, Machine Learning, NLP Summary: Diffusion models revolutionise generative AI by generating high-quality images, videos, and molecules through a dual process of noise addition and reconstruction, while raising significant ethical and computational challenges. - The Non-Executive Director's guide to assessing AI system performance: https://agathon.ai/insights/the-non-executive-directors-guide-to-assessing-ai-system-performance Published: 2025-04-13 Categories: AI Strategy, Responsible AI, Machine Learning Summary: The guide equips Non-Executive Directors with essential frameworks and insights to effectively assess AI system performance, ensuring alignment with corporate objectives and ethical standards. - Creating custom benchmarks that align with business objectives: https://agathon.ai/insights/creating-custom-benchmarks-that-align-with-business-objectives Published: 2025-04-13 Categories: AI Advisory, AI Strategy, Machine Learning Summary: Custom benchmarks, tailored to specific business objectives, are essential for driving meaningful performance insights and strategic success, far outperforming generic metrics. - Enterprise knowledge graphs as RAG foundations: implementation lessons: https://agathon.ai/insights/enterprise-knowledge-graphs-as-rag-foundations-implementation-lessons Published: 2025-04-13 Categories: Knowledge Graphs, RAG, LLMs Summary: Enterprise knowledge graphs, enhanced by retrieval-augmented generation, are essential for transforming data silos into interconnected knowledge ecosystems, but their success hinges on data quality, scalability, security, and user-centric design. - Demystifying LoRA: https://agathon.ai/insights/demystifying-lora Published: 2025-04-13 Categories: LLMs, Machine Learning, NLP Summary: Low-Rank Adaptation (LoRA) revolutionises the fine-tuning of large language models by enabling efficient model adaptation with minimal computational resources, while raising important ethical considerations. - Skills taxonomy for modern AI teams: beyond traditional data science: https://agathon.ai/insights/skills-taxonomy-for-modern-ai-teams-beyond-traditional-data-science Published: 2025-04-11 Categories: Fractional CTO, Responsible AI, LLMs Summary: A modern AI skills taxonomy is essential for building versatile teams that go beyond traditional data science to include advanced technical, interdisciplinary, and ethical competencies for future innovation. - The fractional CTO's guide to building AI teams that deliver: https://agathon.ai/insights/the-fractional-ctos-guide-to-building-ai-teams-that-deliver Published: 2025-04-10 Categories: Fractional CTO, Responsible AI, AI Strategy Summary: The Fractional CTO's Guide highlights the crucial role of fractional CTOs in building high-performing AI teams that align with business objectives while fostering innovation and ethical practices. - The strategic value of a Non-Executive Director with AI expertise: https://agathon.ai/insights/the-strategic-value-of-a-non-executive-director-with-ai-expertise Published: 2025-03-03 Categories: AI Strategy, Responsible AI, Machine Learning Summary: The inclusion of Non-Executive Directors with AI expertise is essential for organisations to effectively navigate the complexities of modern business strategy and ethical considerations in an increasingly AI-driven landscape. - An executive’s guide to AI agents: https://agathon.ai/insights/an-executives-guide-to-ai-agents Published: 2025-01-21 Categories: AI Agents, Generative AI, AI Strategy Summary: AI agents are transformative software entities that enhance operational efficiency and decision-making in businesses by autonomously performing tasks and leveraging advanced technologies like generative AI. - Reinforcement learning: practical guide for business users: https://agathon.ai/insights/reinforcement-learning-practical-guide-for-business-users Published: 2025-01-13 Categories: Machine Learning, Reinforcement Learning, AI Advisory Summary: Reinforcement Learning is a pivotal AI component for business, enabling adaptive decision-making through interaction with environments, balancing exploration and exploitation, and offering benefits such as enhanced decision-making and increased efficiency, despite challenges like data requirements and ethical considerations. - Common technical challenges fractional CTOs solve for startups: https://agathon.ai/insights/common-technical-challenges-fractional-ctos-solve-for-startups Published: 2025-01-12 Categories: Fractional CTO, AI Consulting, AI Strategy Summary: Fractional CTOs provide expert technical leadership to startups, addressing critical challenges like technical debt, scaling infrastructure, security, and cloud cost optimisation without the need for a full-time hire. - Your private LLM: deploying LLMs locally and offline using Ollama: https://agathon.ai/insights/your-private-llm-deploying-llms-locally-and-offline-using-ollama Published: 2025-01-11 Categories: LLMs, AI Consulting Summary: Ollama enables local deployment of Large Language Models (LLMs), offering enhanced privacy, control, and efficiency for organisations seeking to harness the power of LLMs while maintaining oversight of their operational environment. - Understanding the AI Skills for Business Framework — dimensions and implementation (part 2): https://agathon.ai/insights/understanding-the-ai-skills-for-business-framework-dimensions-and-implementation-part-2 Published: 2025-01-10 Categories: Responsible AI, AI Advisory Summary: Successful AI adoption for SMEs requires focusing on five dimensions: privacy and stewardship, technical infrastructure, problem definition, problem solving, and evaluation. - Understanding the AI Skills for Business Framework — leaders guide and personas (part 1): https://agathon.ai/insights/understanding-the-ai-skills-for-business-framework-leaders-guide-and-personas-part-1 Published: 2025-01-09 Categories: Responsible AI, AI Consulting, AI Advisory Summary: The AI Skills for Business Framework outlines four key personas—AI Citizens, AI Workers, AI Professionals, and AI Leaders—essential for organisations to effectively integrate AI. - Unlocking business potential with AI agents: https://agathon.ai/insights/unlocking-business-potential-with-ai-agents Published: 2025-01-08 Categories: AI Strategy, LLMs, AI Agents Summary: AI agents are intelligent systems that autonomously handle tasks, enhancing efficiency and reducing costs. - Building your AI-first company: https://agathon.ai/insights/building-your-ai-first-company Published: 2025-01-07 Categories: AI Strategy, AI Advisory Summary: The rise of AI-first lean startups: rethinking organisational structure in the genAI era - Process reward models: a simple explainer: https://agathon.ai/insights/process-reward-models-a-simple-explainer Published: 2025-01-03 Categories: Generative AI, LLMs, Machine Learning Summary: Process reward models (PRMs) train AI by providing feedback at each step of a task, enhancing understanding and problem-solving abilities. - Should I build my own large language model (LLM)?: https://agathon.ai/insights/should-i-build-my-own-large-language-model-llm Published: 2024-11-28 Categories: Generative AI, AI Strategy, LLMs Summary: Organizations considering building their own large language models (LLMs) should weigh the benefits of control and specialisation against challenges like high computational needs and expertise requirements. - What does a fractional CTO do?: https://agathon.ai/insights/what-does-a-fractional-cto-do Published: 2024-11-04 Categories: AI Consulting, AI Advisory, Fractional CTO Summary: A fractional AI CTO gives you senior AI leadership part-time: deciding where AI is worth building, where to buy instead, and how to govern it. What the role covers, when to hire one, and what it costs. - Who are the best AI consulting firms in 2024?: https://agathon.ai/insights/who-are-the-best-ai-consulting-firms-in-2024 Published: 2024-10-27 Categories: AI Consulting, AI Strategy Summary: When selecting an AI consulting partner, the right fit will depend on your organisation's unique needs, budget, and desire for a hands-on collaborative engagement. - Can you reason with LLMs?: https://agathon.ai/insights/can-you-reason-with-llms Published: 2024-10-20 Categories: Machine Learning, Generative AI Summary: Research from Apple reveals that large language models struggle with genuine mathematical reasoning and perform inconsistently on complex math problems - Understanding large language models: a group discussion analogy: https://agathon.ai/insights/understanding-large-language-models-a-group-discussion-analogy Published: 2024-09-01 Categories: Generative AI, Machine Learning, LLMs Summary: By visualising the transformer as a dynamic conversation between human participants, we can grasp the core principles behind this influential neural network architecture. - Conducting a data assessment: https://agathon.ai/insights/conducting-a-data-assessment Published: 2023-07-02 Categories: AI Consulting, AI Advisory Summary: We outline our process for and benefits of conducting a data assessment prior to initiating any project. - Delivery excellence through multi-disciplinarity and diverse teams: https://agathon.ai/insights/delivery-excellence-through-multi-disciplinarity-and-diverse-teams Published: 2023-07-01 Categories: Responsible AI, AI Strategy, AI Consulting Summary: Unlocking the potential of AI through diverse teams: why it is crucial to employ a multidisciplinary team - Quantifying the benefits and risks of an AI deployment: https://agathon.ai/insights/quantifying-the-benefits-and-risks-of-an-ai-deployment Published: 2023-06-27 Categories: AI Strategy, AI Consulting, Generative AI Summary: Most AI business cases fail not because the technology doesn't work, but because organisations skip quantified baselines, ignore the full cost structure, and mistake efficiency metrics for financial returns. - Adversarial models: what are they and when should you use them?: https://agathon.ai/insights/adversarial-models-what-are-they-and-when-should-you-use-them Published: 2023-06-19 Categories: Machine Learning, LLMs Summary: A brief explanation of adversarial models and some potential use cases for them - Responsible and ethical AI — why does it matter?: https://agathon.ai/insights/responsible-and-ethical-ai-why-does-it-matter Published: 2023-06-01 Categories: Responsible AI, AI Strategy, AI Advisory Summary: Responsible AI is all the rage, but why should one care? - Recent trends in NLP: https://agathon.ai/insights/recent-trends-in-nlp Published: 2023-02-23 Categories: Machine Learning, Generative AI, AI Advisory Summary: Examining some recent trends in NLP and AI, including transformer-based models, transfer learning, multimodal AI and conversational AI ## Contact Website: https://agathon.ai Contact: https://agathon.ai/contact ## Optional - [llms-full.txt](https://agathon.ai/llms-full.txt): Extended version with full service descriptions, founder biography, and detailed article summaries --- This content is available for LLM consumption. 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