Mark Whitfield is a highly experienced SC cleared Senior IT Project Manager and Engagement Manager with over 30 years in the IT industry, specializing in both Agile and Waterfall delivery for large-scale blue-chip companies, digital projects, and payment systems. After starting as a programmer, he transitioned into project management, eventually working with Capgemini and establishing a professional templates resource site.
SC cleared Senior IT Project Manager and Engagement Manager
IT Project Management Overview
Key Expertise: Senior IT Project Management (Agile / Scrum / Waterfall / PRINCE2), Delivery Management, Business Transformation, and SC clearance.
Sector Focus: Banking, Finance, Transportation (Heathrow, NATS), Retail, Government (Local Regional Government – LRG), Aerospace & Defence, and Gambling.
Technical Background: Programming in COBOL85, Tandem TAL, SQL, C, C++, Java, and experience with HPE NonStop (BASE24) systems.
Tandem TAL Programming certificate, 1995
Tools & Methodologies: PRINCE2, Agile SCRUM, Microsoft Project (MPP), Excel RAID logs, and Jira.
Value Proposition: Focuses on improving revenue, cost, and Customer Satisfaction (CSAT) through structured SDLC methodologies.
Detailed Historical Timeline
Era 1: Programming & Technical Development (1990–1995)
1990: Graduated in Computing and joined The Software Partnership (later Deluxe Data) in Runcorn as a programmer specializing in electronic banking software (sp/ARCHITECT) on Tandem Computers (now HPE NonStop).
1990-1995: Developed code (COBOL85/NonStop SQL) for major banks, including TSB, Bank of Scotland, Rabobank, and Girofon.
1993 (May): Completed Tandem Guardian Principles Course.
Tandem Guardian Principles Course, 1993
1994: Deluxe Electronic Payment Systems acquired The Software Partnership.
1995 (June): Completed HP NonStop Performance Analysis and Tuning.
Deluxe Electronic Payment Systems acquired The Software Partnership in 1994HP NonStop Performance Analysis and Tuning, 1995
Era 2: Specialized Software & Product Management (1995–2013)
Insider Technologies Limited (ITL) in Salford Quays
1995 (August): Joined Insider Technologies Limited (ITL) in Salford Quays as a senior programmer, later moving into product / project management.
1995-2013: Focused on monitoring (Reflex) and batch scheduling (MultiBatch) software for HPE NonStop systems, serving clients like Barclays and Alliance & Leicester.
2000 (May): Completed Microsoft Project ’98 Certification and began training other ITL project managers on scheduling best practices.
2007: Insider Technologies products (Reflex) integrated into FIS solutions.
2013: Published work in the HP NonStop journal “The Connection”.
HPE NonStop journal “The Connection” – article for the Insider Technologies product, RTLX
Era 3: Senior IT Project Management (2013–2016)
2013-2014: Worked at Wincor Nixdorf as an IT Project Manager (PRINCE2 / Agile Scrum) on a £5m+ LBG Self-Service Software Replacement (SSSR) program for Lloyds Banking Group, migrating ATM systems from HP NonStop to AIX.
2014-2016: Joined Betfred as a Senior Project Manager, delivering payment gateways, sportsbook, and virtual gaming projects in Agile SCRUM for mobile and online platforms.
Era 4: Engagement Management & Public Sector (2016–Present)
2016 (January): Joined Capgemini UK as a client-facing Engagement Manager (SC cleared).
2016 (August): Founded Mark Whitfield Consultancy Ltd, managing independent IT, network, and improvement projects.
2016-2018: Led Waterfall / Agile projects for automotive, local government, and postal services.
2018-2019: Augmented into MuleSoft as a Delivery Manager for the Anypoint Platform.
2023-2024 (Nov-Feb): Served as Technical Delivery Manager for a UK Government account, overseeing a £1m+ Fish Export Service (FES) to Common Entry Health Document (CHED) Inspection Portal (CHIP) project.
2026: Continued to provide project management thought leadership and template resources for Agile/Scrum/PRINCE2.
Agile Scrum Burn down Chart template in Microsoft Excel Microsoft Project MPP MSP Project Plan Template examplesPlan On a Page POaP templates plus MPP MS Project and MS Excel Project Plan templates
Key Projects & Clients
UK Gov / Capgemini: Fish Export Service (FES) Cloud Migration.
Claude is a family of large language models (LLMs) developed by Anthropic, a company founded in 2021 by former OpenAI executives Daniela and Dario Amodei with a core focus on AI safety and “Constitutional AI”. Known for its high-quality writing, advanced reasoning, massive context windows, and “Artifacts” interface, Claude has rapidly evolved from a safe conversational chatbot into an agentic tool capable of coding, computer use, and complex data analysis.
Overview of Claude AI
Constitutional AI (CAI): Anthropic trains Claude using a set of principles (“constitution”) rather than relying only on human feedback. This makes Claude generally more cautious, more likely to refuse harmful requests, and transparent in its reasoning.
Model Family (Haiku, Sonnet, Opus): Claude models are released in three tiers:
Haiku: Fastest and most cost-effective.
Sonnet: Balanced for speed and intelligence (general-purpose).
Opus: Most intelligent, designed for complex tasks.
Key Features:
Context Window: Early adoption of long-context, moving from 100k to 200k tokens (roughly 500 pages of text).
Artifacts: A dedicated UI window that displays rendered code, websites, and documents in real-time.
Computer Use: A specialized capability allowing Claude 3.5 Sonnet to control a computer’s desktop environment—moving the cursor, clicking, and typing.
Claude Code: Agentic coding tool introduced in 2025/2026 for automated software engineering.
Historic Timeline by Era and Year
Era 1: Foundation and Early Models (2021–2022)
2021: Anthropic is founded by Dario and Daniela Amodei, focusing on AI safety and “Constitutional AI”.
Late 2022: Initial versions of Claude are released to select research partners for safety testing.
Era 2: Public Launch and Rapid Scaling (2023)
March 2023:Claude 1 and Claude Instant are released for testing.
July 2023:Claude 2 is released to the general public, featuring improvements in reasoning and coding.
November 2023:Claude 2.1 is launched, doubling the context window to 200,000 tokens.
Era 3: The Claude 3 Family and Agentic AI (2024)
March 2024:Claude 3 Family (Haiku, Sonnet, Opus) is launched, showcasing near-human intelligence, advanced vision capabilities, and high-speed processing.
June 2024:Claude 3.5 Sonnet is released, outperforming the larger 3 Opus model and introducing the Artifacts feature for UI rendering.
October 2024:Claude 3.5 Haiku and an upgraded 3.5 Sonnet are released. Anthropic launches the “computer use” public beta, allowing the AI to interact with software and browsers.
Era 4: Claude 4 and Agentic Workflows (2025–2026)
February 2025:Claude Code is introduced as an agentic tool for developers.
May 2025:Claude 4 Family (Opus 4 & Sonnet 4) is launched, featuring improved multi-modal reasoning and deep context processing.
August 2025:Opus 4.1 is released with tighter safety controls for abusive conversations.
November 2025:Opus 4.5 is released, focusing on enhanced coding and workplace tasks, alongside “Infinite Chats”.
February 2026:Claude Opus 4.6 and Sonnet 4.6 are released, adding native “Agent Team” collaboration and 1M-token context.
April 2026:Claude Mythos Preview is announced, designed for high-level cybersecurity vulnerability detection.
Key Differentiators
As of early 2026, Claude is considered a market leader in agentic AI development, particularly through its “Computer Use” feature, which allows it to act as an Autonomous agent rather than just a chatbot. While competitors like OpenAI focus on multimodal LLMs, Anthropic’s Claude continues to differentiate by prioritizing safety, long-context understanding, and specialized agentic coding tools.
Claude AI Overview and Detailed Historic Timeline by Era and Year
How Project Managers use Claude AI to run projectsHow PMs use Claude AI to run projects
Claude Artificial Intelligence AI technologyinsight
Claude is a family of large language models (LLMs) developed by Anthropic, an AI safety and research company. As of early 2026, the technology has evolved from a conversational chatbot into a suite of “agentic” tools capable of performing complex software engineering, cybersecurity, and workplace automation tasks.
Core Technology & Architecture
Constitutional AI: Claude’s unique training method, which uses a set of principles (a “constitution”) to guide the model’s self-critique and alignment. This is intended to make Claude more ethical, harmless, and less prone to bias.
Model Tiers: Claude is typically released in three sizes—Haiku (fastest/cheapest), Sonnet (balanced), and Opus (most powerful for deep reasoning).
Context Window: Recent models like Claude 4.6 and Sonnet 4.5 support massive context windows of up to 1 million tokens, allowing them to process entire codebases or long legal documents in a single prompt.
Extended Thinking: A feature that allows the model to “think” longer on complex problems before responding, using advanced step-by-step reasoning.
Key Features & Innovations
Artifacts: A dedicated UI feature that lets users view and interact with generated code, websites, and diagrams in real-time.
Claude Code: A command-line interface (CLI) that functions as an agentic software engineer, capable of searching your system, editing files, running tests, and fixing bugs autonomously.
Claude Code Security: A specialized tool released in early 2026 for scanning codebases to identify and fix high-severity vulnerabilities.
Computer Use: A beta capability allowing Claude to interpret screen content and simulate mouse and keyboard actions to perform tasks across multiple apps.
Integrations: Claude now connects directly to enterprise tools like Microsoft Word, Excel, PowerPoint, and Zoom to automate report generation and meeting follow-ups.
Impact & Performance
Coding Excellence: Claude is widely regarded as one of the best models for programming, often used to build entire applications through “vibe coding” (conversational development).
Productivity Gains: Internal and external studies suggest Claude can reduce task completion time by up to 80% for complex tasks like legal research and software engineering.
Cybersecurity Breakthroughs: The Claude Mythos model (currently in limited release) has reportedly discovered thousands of zero-day vulnerabilities in major operating systems like Linux and OpenBSD.
Claude Code Project structure :
Claude Code Project structure
The .claude folder is a hidden directory used by Claude Code (an AI-powered terminal assistant) to store local state, configuration, and memory, allowing it to remember project details across sessions. It functions as a local workspace for Claude to manage instructions, custom commands, permission rules, and auto-memory.
Key Components of the .claude Folder:
CLAUDE.md (Crucial): A markdown file that acts as the primary instruction manual, containing rules, project context, and coding standards.
settings.json (Configuration): Controls permissions, defining which tools Claude can use and what files it can read.
commands/ (Custom Tools): A folder for storing markdown files that create custom shell commands (e.g., /project:review).
rules/ (Specialized Guidance): Contains specific coding conventions or guidelines that supplement CLAUDE.md.
skills/ (Actionable Workflows): Used to store multi-step workflows that Claude can execute, such as code analysis or formatting.
agents/ (Subagents): Defines specialized AI subagents with specific system prompts and tool access.
memory/ (Persistent State): Stores auto-generated notes and context about the project’s codebase, architecture, and previous tasks.
Two Types of .claude Directories:
Project-Level (.claude/): Created at the root of a project, shared with the team via git.
Global-Level (~/.claude/): Located in the user’s home directory, storing personal configurations and memory that apply across all projects.
Important Notes:
Safety: It is safe to delete, but doing so resets the model’s memory of the project.
Gitignore: It is highly recommended to add the .claude folder to .gitignore to avoid committing local environment state.
Structure: It is recommended to keep CLAUDE.md under 200–300 lines to maintain high adherence.