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Release the Greyhounds: From Prompt to Business Process with AI Digital Twins

I had a fantastic session with Peter Everill diving into "Quantifying Your Value: The Framework Used to Realise £100m Profit" on Kyle Winterbottom’s Orbition Group podcast (link here).Peter laid out his consultancy-based framework for delivering end-to-en...

Roll Over, LLMs: Reasoning Language Models Are the Next Step in AI Evolution

Artificial intelligence is on the cusp of a new chapter: Reasoning Language Models (RLMs). These next-gen models don’t just predict patterns or rely on probabilistic outputs like traditional LLMs—they think.RLMs represent a leap forward, incorporating str...

Your Business Processes Have Gone to the DOGs (And That's a Good Thing!)

TL;DR: It’s time to evolve from data-centric thinking to a business process-centric approach. The future is about quickly assembling AI Digital Twins—end-to-end business processes (flows, components, UX, governance, and more)—with just the data they need,...

Unleashing AI Value: From Ruff Terrain to Business Treasure

Watching the latest Puss in Boots movie with my son got me thinking about the parallels between Puss’s perilous, ever-shifting map and the rocky road organizations often navigate when trying to extract value from AI. The journey from concept to realized b...

AI: The Printing Press Moment for Data and Technology

Just as Gutenberg’s press democratized knowledge, ushering in an era of rapid innovation, AI—particularly Generative and Agentic AI—is doing the same for data and technology. It’s rewriting the rules, short-cutting end-to-end software and analytics creati...

Agent DOG: Mission Day 3 – Underwriting Unleashed

The saga continues as Agent DOG dives deeper into Guardian Insurance, this time revolutionizing underwriting with the power of advanced analytics, dynamic workflows, and cutting-edge AI.☀️ A New Dawn for UnderwritingAs the first rays of sunlight spilled a...

Follow the Path or Chase the Squirrels? Agentic Deterministic vs. Probabilistic Planning

This weekend, I had a fascinating discussion that reinforced a critical but often overlooked part of Agentic AI design—the strategic choice between deterministic and probabilistic planning.When building enterprise-grade agent systems, the question isn’t j...

Sniffing Out the Map: AI Agent “Query Plans” as Data Object Graphs (DOGs)

A common question we get asked is: How do we ensure predictability and transparency in AI-driven, agentic workflows?Traditional AI agents often operate within opaque, sequential memory buffers and LLM-generated decision paths, making it difficult to track...

AI-Driven Data Object Graph (DOG): Premium Risk Calculation with Commentary

After some fantastic feedback on last week’s Agent DOG: Mission Day 2 - Risk Revolution, we're sharing a revised version with additional commentary and a practical implementation video.This demo showcases how a Data Object Graph (DOG) can drive insurance ...

Walking the DOG: How Agentic Data Object Graphs Reshape Business Execution

🐾 A Query Plan for Your Business: How DOGs Mirror Database ArchitecturesAfter our last blog posts on Agentic Data Object Graphs (DOGs), we’ve received some great questions about the fundamentals of how they work. So, let’s break it down using a familiar ...

Agent DOG: Mission Day 2 – AI-Powered Risk Revolution

🐾 Agent DOG Deploys AI to Transform Risk Management at Guardian InsuranceAt dawn, Agent DOG infiltrated Guardian Insurance’s Risk Department, scanning the landscape of outdated spreadsheets, slow manual reviews, and fragmented data pipelines.💬 "Your ris...

PAW vs. MAW: The Two Emerging AI Workflow Paradigms

Pure Agentic vs. Model-Accelerated Workflows (AI+)As AI adoption accelerates, two distinct patterns are emerging in workflow automation:1️⃣ Pure Agentic Workflows (PAW)Fully autonomous AI agents executing entire tasks independently, without human interven...

Agent DOG: Mission Day 1—Revolutionizing Claims Processing with AI & Data Object Graphs

Mission Brief: Day 1—Transforming Insurance Claims with AIAs Agent DOG entered the chaotic world of Guardian Insurance’s Claims Department, its neural circuits pulsed, analyzing the environment.📉 The Problem:Weeks-long processing timesOverwhelmed claims ...

Agent DOG: Mission Day 0— AI-Powered Business Transformation with Data Object Graphs

Mission: Transform an Enterprise with AI & Data Object GraphsIn the vast digital landscape of Data and AI, a new intelligence emerged: Agent DOG (Data Object Graph). Built for one mission—to revolutionize business transformation through AI-driven automati...

"Release the Hounds!" Executable Metric Trees as Data Object Graphs (DOGs) for Smarter BI & Enterprise Metrics

From Data Silos to Executable Metric GraphsBusiness intelligence (BI) and enterprise metrics have long been siloed, brittle, and slow to adapt. Traditional metric hierarchies, static dashboards, and isolated data pipelines struggle to keep up with the dyn...

Decision DOGs: How AI Agents and Data Object Graphs (DOGs) are Revolutionizing Decision Intelligence

Why Traditional Decision-Making Falls ShortIn many organizations, decision-making is still a mix of intuition, siloed data, and fragmented processes. While Decision Intelligence aims to bring structure through data science, behavioral insights, and system...

Digital Twins for Business Transformation: Simulating Change with Data Object Graphs (DOGs)

Why Simulate Business Processes Before Committing to Change?When designing bridges, aircraft, or advanced engineering systems, we wouldn’t dream of deploying them without first running simulations. Yet, when it comes to business transformation, we still r...

PackRunner: Architecting Multi-Agent AI with Data Object Graphs (DOGs) & Data Products

Building the PackRunner Architecture: The Future of Multi-Agent AI SystemsFollowing recent discussions on AI agents and Data Object Graphs (DOGs), many have asked how to architect these systems to support multi-agent workflows. The answer? PackRunner—an A...

Who Let the DOGs Out? Multi-Agent Data Object Graphs in Action

The Power of Multi-Agent Data Object Graphs (DOGs)We’ve had some great discussions recently about how multiple AI agents interact within Data Object Graphs (DOGs), so let’s break it down in a structured way—introducing Multi-Agent DOGs 🐶.Agent DOGs are A...

Agent DOG—Where AI Agents Meet Data Object Graphs

Introducing Agent DOG: AI Agents Navigating Data Object GraphsThe evolution of AI-driven decision-making is here—Agent DOG, an AI agent that systematically breaks down complex problems and navigates through interconnected Data Object Graphs (DOGs) to driv...

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