AI

5 Document Workflows AI Handles Better Than People

Published

Mar 23, 2026

Author

Dr. Phil Winder

CEO

Not every document workflow needs AI. If you process ten invoices a week from the same supplier in the same format, manual handling is fine. But some workflows sit at the intersection of high volume, varied formats, and expensive errors. Those are the ones where AI document processing consistently outperforms human processing on speed, accuracy, and cost.

Five specific document workflows deliver a measurable advantage when you hand them to AI.

AI Document Processing vs Traditional OCR: What Actually Changed

Published

Mar 17, 2026

Author

Dr. Phil Winder

CEO

Most organisations already have some form of document scanning. A multifunction printer with OCR. An expense tool that reads receipts. A document management system that converts scans to searchable PDFs. If you’re reading this, then you probably already know that scanning alone isn’t enough.

What Is Document Intelligence? A Complete Guide for 2026

Published

Mar 16, 2026

Author

Dr. Phil Winder

CEO

Every organisation runs on documents. Invoices, contracts, claims, applications, correspondence. They contain the data that drives decisions, triggers payments, and satisfies compliance requirements. The problem is that most of this data is trapped in unstructured formats that only humans can read.

Document intelligence changes that. It’s the AI capability that reads, understands, and extracts structured data from unstructured documents. It is rapidly replacing the manual data entry and basic scanning workflows that most businesses still rely on.

How to Migrate a Codebase from Python to Go Using an AI Coding Assistant

Published

Feb 17, 2026

Author

Dr. Phil Winder

CEO

I recently migrated a production Python codebase to Go using Claude Code as the primary coding agent. The codebase was Kodit, an MCP server and CLI tool for indexing code repositories. It had a well-structured Python backend with a FastAPI server, SQLAlchemy ORM, Pydantic models, and a search pipeline combining BM25 and vector embeddings.

How to Build AI Agents for Data Analytics: A Practical Guide with Python

Published

Jul 30, 2025

Author

Dr. Phil Winder

CEO

Tired of static dashboards that never quite answer the real question you want to ask?

AI language models, popularised by ChatGPT, have gained notoriety for being able to understand queries with human-levels of quality. By plugging this bots into your data sources you can finally get all the answers you desire, by simply asking. (I still say please and thank you!)

In this article, I explore what these so-called “AI Agents” are (not the greatest name), how they work their magic, and the fun things you can do once connected to your data. We’ll dive into some example code and architectures and show off some (hopefully) working demos.

Generative AI Implementation for Lawyers: IP, Data-Protection & Contracting Risks

Published

Jun 22, 2025

Author

Dr. Phil Winder

CEO

Curious how AI projects really unfold beyond the hype and what risks lawyers must spot before they commit to projects? In this candid fireside chat, AI veteran Dr Phil Winder teams up with Mills & Reeve tech-law partner Paul Knight to swap war stories, legal landmines and practical guardrails from the front lines of implementation. This 40-minute session arms you with the insider insights every in-house team needs before signing their next AI deal.

Early Adopter Release of Kodit: MCP server to index external repositories

Published

Jun 9, 2025

Author

Dr. Phil Winder

CEO

A lot of my work today is assisted with AI. From editing blog posts to developing proposals. But the number one use case is AI-assisted coding. Tools like Cursor,l Cline, Roo, Aider, Claude Code, etc. have disrupted software engineering to levels I hadn’t anticipated. But still, it’s not perfect.

This post is about one particular set of problems and a new open source tool I developed to alleviate it.

AI-Native Transformation: How AI is Driving Organisational Change

Published

May 28, 2025

Author

Dr. Phil Winder

CEO

As AI-native transformation reshapes the technology landscape, organizations must rethink not just their tools but their entire structures and processes. Simply adopting AI technologies is not enough. True transformation requires organizational change, guided by a deep understanding of both technical feasibility and business value. Our AI consulting team helps organizations navigate this complex transformation journey.

Enterprise AI Assistants: Combatting Fragmentation

Published

Jan 16, 2025

Author

Dr. Phil Winder

CEO

Enterprise AI Assistants unify disparate data sources, providing real-time insights and access control. Building domain-specific assistants and orchestrating them (hierarchical or federated) offers scalability, specialized features, and better performance than single-vendor solutions. Ultimately, organizations need a tailored approach that consolidates knowledge, fosters collaboration, and addresses evolving AI integration challenges.

Keynote: Data Transparency, AI Use Cases, Data Sovereignty

Published

Dec 18, 2024

Author

Dr. Phil Winder

CEO

At Winder.AI, we’re seeing a shift in how businesses are adopting AI—not just for innovation, but for real, tangible commercial outcomes. I had the privilege of sharing these insights as a keynote speaker at ITAPA in beautiful Bratislava, Slovakia. The audience was looking for an insight into how AI is being used and some of the key challenges that are being faced today. I took the opportunity to share some of my thoughts about the importance of data transparency, some interesting use cases, and future regulation to watch out for.