In 2011, ⚛️ Sienna AI Founder Nick Ray Ball began researching macroeconomic AI systems.
In 2025, the first system he presented to Innovate UK showcased an annual 💷💷 £112 to £147 Billion Economic Gain.
Featured Docs:
🏆Competition Entry
💷£112–£147 Billion
⚕️Good Doctor App
🚀5 Mission Objectives
🕵️Stronger UKRI Process
⚛️S-Web to Economic AI
🎬 Videos
📑🎙️💼 Research Directory
🏛️Hellen Maguire MP
🌀Gatekeeper AI Design 2017
For Sir Keir Starmer, Peter Kyle, Feryal Clark, Wes Streeting and The UK.
Instead of just funding, UKRI can promote UK Innovation.
Better for judges, applicants, and the UK!
READ MORE ⬇️
Below, we see our S-Web 5.2 UKRI demonstration page. This system not only improves assessment but also benefits applicants directly. When they fill in the online forms, their submission transforms into a beautiful website or menu within an existing website or app.
Rather than just funding projects, UKRI can actively promote UK innovation by establishing a network of dynamic websites. In S-Web 6, these sites evolve into AI-powered applications, incorporating affiliate resale that monetises products and services through the Swapping Menus Function.
This approach allows UKRI to fully evaluate the projects it funds, mitigate fraud and inefficiency, and allocate future funding to be based on measurable results.
Close READ MORE ⬆️Part 1. Project Summary |
Describe your project briefly and be clear about what makes it innovative. We use this section to assign the right experts to assess your application.
Your answer can be up to 400 words long.
Close Details ⬆️Part 2. Public Description | | Question Details ⬇️
Your answer can be up to 300 words long.
Close Details ⬆️Part 3. Scope | | Question Details ⬇️
Your answer can be up to 400 words long.
Close Details ⬆️Question 4. Your Idea and Innovation | | Question Details ⬇️
What is your idea and innovation, and why is it game-changing?
Explain in your answer:
Your answer can be up to 600 words long.
You must submit an appendix to support your answer. It can include diagrams or charts to showcase the technical merit of your innovation and should evidence how it is world leading. It must be a PDF no larger than 10MB. It can be up to two A4 pages but must be legible at 100% zoom.
Assessors will be looking for proposals involving a game-changing, world-class innovation where the innovation need is clearly defined. The nearest state of the art is understood and evidenced, and the proposal demonstrates an idea that is different from, and ahead of, alternative, already available solutions.
A fully developed proposal needs to go beyond presenting a brand new, commercially viable idea and should demonstrate a structured and evidenced understanding of the sector and the opportunity identified.
Close Question Details ⬆️Question 5. Justification for Funding | | Question Details ⬇️
Smart grants are a highly competitive competition, where only the very best game-changing and disruptive ideas, which score highly, will be successful in securing funding.
Explain in your answer:
Your answer can be up to 400 words long.
Assessors will be looking for:
Question 6. The Potential Market | | Question Details ⬇️
What is your target market and what is your strategy for securing the market opportunity you have identified, including your route to market and commercialisation of project outputs?
Explain in your answer:
Your answer can be up to 400 words long.
Assessors will be looking for:
Question 7. Impact and Benefits | | Question Details ⬇️
What will be the impact of receiving the grant, both for your business and outside your organisation?
Explain in your answer:
Your answer can be up to 600 words long.
Assessors will be looking for:
Question 8. Delivering Your Project | | Question Details ⬇️
Who is in the project team, why do you have the right skills and experience to succeed, and how will you successfully deliver your project?
Explain in your answer:
Your answer can be up to 400 words long.
You must submit a project plan to support your answer. This needs to be in sufficient detail to identify any links, dependencies, or potential duplication between work packages or milestones.
Your appendix can include diagrams and charts. It must be a PDF no larger than 10MB, up to two A4 pages, and legible at 100% zoom.
You must also submit a risk register, indicating the main risks for your project, including but not limited to technical, commercial, managerial, and environmental.
It must include:
Assessors will be looking for:
Question 8a. Project Plan (Appendix 1) | | Appendix Details ⬇️
You must submit a project plan to support your answer. This needs to be in sufficient detail to identify any links, dependencies, or potential duplication between work packages or milestones.
Appendix Requirements:
Assessors will be looking for:
Question 8b Risk Register Appendix 2: | | Appendix Details ⬇️
You must also submit a risk register, indicating the main risks for your project, including, but not limited to, technical, commercial, managerial, and environmental.
Your appendix can include diagrams and charts. It must be a **PDF no larger than 10MB**, up to **two A4 pages**, and legible at 100% zoom.
Assessors will be looking for:
Question 9. Value for Money | | Question Details ⬇️
How will you spend your grant funding and how does this represent good value for money for the taxpayer?
Explain in your answer:
Your answer can be up to 400 words long.
Assessors will be looking for:
For Sir Keir Starmer, Peter Kyle, Feryal Clark, Wes Streeting and The UK.
Bonus Content 1.
OKRs, Points, Collaboration, Royalties, TDD & Completing The Objective
Content Details ⬇️
Introduction: This document outlines the integration of **Objectives and Key Results (OKRs)** within the Total Business Systems – Company Controller (TBS-CC), a core component of the Sienna AI framework. It explores how incentivised point-scoring structures drive productivity, collaboration, and innovation. By linking OKRs to royalties, developers and creatives are rewarded in perpetuity for their contributions, fostering a new economic model for software development.
Summary: The OKR system at the heart of Sienna AI is designed to maximise efficiency and foster innovation. A key motivator is the points system, where high-value contributions earn significant scores, with the Hawking Award (🦼 = 2500 points) being the highest. Achievements are visible in team planners, encouraging further adoption and refinement of successful implementations.
Drawing inspiration from the music industry’s royalty system, where songwriters continue to earn revenue decades after a hit song, the system ensures that up to 25% of Sienna AI revenue is distributed among developers and creatives. This model diverges from traditional venture capital structures, making Sienna AI an attractive platform for top engineering talent.
The Quanta Analytica module ensures fair revenue distribution, tracking performance and financial flows in real time. This gamification of software engineering encourages teams to prioritise test-driven development (TDD) and modern DevOps methodologies, addressing cultural resistance to rigorous testing.
By giving higher OKR scores to testing milestones than software completion, the system reverses industry norms that often deprioritise quality assurance. Inspired by David Farley’s advocacy for Modern Software Engineering, this approach mitigates the risks seen in large government failures, such as the UK Post Office Horizon scandal.
Ultimately, the OKR-driven royalty structure transforms the nature of software engineering, ensuring longevity, financial security, and sustained motivation. The first milestone objective for this model is the GP-AI Gatekeeper project, setting the stage for its broader application across Sienna AI’s 10 Technologies framework.
Close Content Details ⬆️
Bonus Content 2.
David Farley: This Government Software Project WASTED $500,000,000... Here's Why
Content Details ⬇️
Original YouTube Video: This Government Software Project WASTED $500,000,000... Here's Why by David Farley - MSE Continuous Delivery
Introduction: Government software projects routinely suffer catastrophic failures, with an estimated 87% of projects over $6 million failing. This document explores why large-scale initiatives—such as the £469 million Fire and Rescue Services project—collapse under their own weight. The core issue lies in rigid bureaucracy, flawed planning models, and misguided incentives that prioritise process adherence over actual results.
Summary: Traditional waterfall development remains the default for government projects, despite overwhelming evidence that it leads to delays, cost overruns, and outright failure. Software development is an iterative, learning-driven process, yet governments often assume they can create a perfect plan upfront—a fundamental misunderstanding of how complex systems evolve.
The Fire and Rescue Services project exemplifies these failures. Originally budgeted at £120 million, it ballooned to £469 million without delivering a functional system. Instead of solving problems, the project fixated on meaningless status reports, bloated staffing (with nearly 1,000 technologists from 30+ contractors), and rigid adherence to processes. No one was held accountable, and in some cases, individuals responsible for the failures were rewarded.
David Farley outlines a proven alternative: Start simple, make it work, learn, and iterate. Success doesn’t come from more funding or larger teams but from small, adaptable systems that evolve over time—mirroring how science and engineering truly work.
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Bonus Content 3.
Innovate UK Smart Grants: November 2024 – Official Application PDF
Content Details ⬇️
Competition Details:
The Innovate UK Smart Grants: November 2024 competition provides £15 million in funding for game-changing and commercially viable R&D innovations with the potential to significantly impact the UK economy.
Organised by Innovate UK, part of UK Research and Innovation (UKRI), the competition opened on 14 November 2024 and closed on 22 January 2025 at 11:00 AM.
Official GP-AI Gatekeeper Application PDF:
This document is the official PDF output generated after the submission of the GP-AI Gatekeeper 2025 application. It is a complete duplicate of the original entry, containing responses to all nine required sections.
For a more accessible and scannable version, view the application at the following link:
GP-AI Gatekeeper 2025 – Full Application
Issues with the Government CMS:
While this PDF replicates the original application, all links are incorrectly formatted due to a bug in the government’s CMS.
Instead of being embedded under text, URLs appear in full, disrupting readability. The system saves links correctly during input, but a faulty export function renders them unusable.
Additionally, the text in the PDF is unselectable, preventing AI parsing and manual copying. This is a fundamental design flaw, as selectable text should be standard in any document meant for review. The lack of link functionality may explain why Innovate UK discourages their use—not by policy, but due to system limitations.
This issue highlights the urgent need for a modern, AI-driven CMS replacement, ensuring accessibility, functionality, and efficiency for future applications.
Close Content Details ⬆️
Bonus Content 4.
⚕️⚛️ GP-AI Gatekeeper 2025 – Complete Application plus Video Dialogue ⚛️⚕️
Content Details ⬇️
Introduction
This document is the definitive presentation of GP-AI Gatekeeper 2025, containing the full Innovate UK Smart Grants application, along with the complete script from the video presentation submitted on 22 January 2025. It provides a structured, in-depth breakdown of the economic, technological, and healthcare transformations proposed by Sienna AI Ltd.
Summary
The document opens with the script from three key video presentations, where Prime Minister Sir Keir Starmer’s challenge—to determine whether the UK will be an AI maker or an AI taker—frames the discussion. The project aligns with Labour’s five mission objectives, tackling NHS inefficiencies, economic growth, clean energy, public safety, and expanded opportunities.
At its core, GP-AI Gatekeeper is the first of four revolutionary AI-driven healthcare technologies, alongside GP-AI Psych, The Good Doctor App, and GP-AI Physio. These systems aim to reduce NHS wait times, automate administration, and empower medical professionals using modern software engineering principles such as Objectives & Key Results (OKRs) and AI-driven decision logic.
Beyond healthcare, the project has far-reaching economic impact, projected to return 1% of the UK workforce to employment, adding up to £147 billion annually in GDP and savings.
🔗 Read the Full GP-AI Gatekeeper 2025 Application
Close Content Details ⬆️
Bonus Content 5.
OKR DevOps – Solving the Cultural Problem for David Farley
Content Details ⬇️
Original Version:
Dear David Farley,
In podcast episode ☆DF🚀62b6. How OKR DevOps encourages testing, the episode begins with you and Nicole Forsgren. You talked about how, if you want to endear yourself with somebody, show them a problem that they have that your solution can fix.
I’ve been working on OKR (Objectives and Key Results) Systems since 2016 and its parent, the TBS-CC, since 2002. Its points-driven method for encouragement and collaboration is out of the park in terms of behavioural science motivating and collaborating.
But for you, in your book, which is very dear to me, it seems that the biggest problem you had was the cultural problem around test-driven design and continuous delivery practices.
In the Innovate UK GP-AI Gatekeeper grant application, I had the opportunity to add two appendices about delivering the project. I used this to present the OKR system within it, which mentions that simply by awarding more points for the test than for the completion of the code, when points equal royalties for life if one has a hit (just like music), you solve the motivation problem.
In solving the motivation problem, you solve the cultural problem.
Job done.
The 3 OKR System Documents Within the GP-AI Gatekeeper Presentation:
The complete updated document for David Farley, Including the dialogue from the podcast:
GP-AI Gatekeeper 2025 – OKR DevOps: Solving the Cultural Problem
Close Content Details ⬆️
Bonus Content 6.
🎬⚕️⚛️ Gatekeeper 2025 – Video Dialogue – Acts 1, 2 & 3
Content Details ⬇️
This document contains the full dialogue from the GP-AI Gatekeeper 2025 video, structured across three key acts. It provides a detailed deeper script of the presentation submitted to Innovate UK on January 22, 2025.
Key Sections Covered:
For those who prefer a video format, you can watch the full 13-minute video here:
Close Content Details ⬆️
Bonus Content 7.
Economic Growth from Returning 1% of the UK Population to Work
Content Details ⬇️
This document provides the core economic modelling and accounting framework for the £112 to £147 billion economic gain outlined in the first of three GP-AI Gatekeeper video presentations:
▶️ ⚕️⚛️ GP-AI Gatekeeper Act 1: 💷💷 The £112 to £147 Billion Economic Gain
It quantifies the financial impact of returning 1% of the UK population to work, along with savings generated through NHS efficiencies, reduced welfare reliance, and mitigated costs of migration-related public services.
This was the document formally submitted to Dr. Dawn Geaches for independent assessment.
GDP Gain from Returning 1% of the Population to Work
• UK GDP in 2023 (Statista): £2,536,090,000,000 ÷ 35,000,000 workforce = £72,460 annually per worker.
• UK population: 68,400,000.
• 1% of the population: 684,000 individuals.
• GDP generated by re-integrating 1% of the population: 684,000 × 72,460 = £49.52 billion annually.
NHS Savings from Full ⚕️⚛️ GP-AI Project Implementation
• Savings in NHS GP Services: £2.85 billion to £3.65 billion annually (~24-31% of the GP services budget).
• Potential savings if applied to the entire NHS budget (£179.6 billion):
- 24% × 179.6 = £43.1 billion annually.
- 31% × 179.6 = £55.7 billion annually.
Welfare Savings
• Savings if 1% of the population no longer claimed welfare benefits:
- Lower Estimate: £10.26 billion annually.
- Higher Estimate: £17.1 billion annually.
Savings on Services Resulting from Migration
• Net migration 2023/2024: 1,630,000 individuals (primarily to meet labor demands), putting a strain on public services like healthcare, housing, and education.
• Estimated strain on public services: £10-25 billion annually based on housing, healthcare, and education needs.
• (The lower threshold was set at £10 billion, ensuring conservative estimates.)
Total Potential Annual Savings and Gains
• Increased GDP: £49.52 billion.
• NHS Savings: £43.1 billion to £55.7 billion.
• Welfare Savings: £10.26 billion to £17.1 billion.
• Savings on Migration-Related Services: £10 billion to £25 billion.
Grand Total (Annual Savings and Gains)
• Lower Estimate: 49.52 + 43.1 + 10.26 + 10 = £112.88 billion.
• Higher Estimate: 49.52 + 55.7 + 17.1 + 25 = £147.32 billion.
Close Content Details ⬆️
Bonus Content 8
💙⚕️ The Good Doctor App Book & Additional Documentation
Content Details ⬇️
This is the second document submitted to Innovate UK as part of the assessment for the projected **£112–£147 billion annual economic gain**.
While 2088z36)⚕️⚛️ Economic Growth Gained by Returning 1% of the UK Population Back to Work quantified the financial impact of reintegrating 1% of the UK workforce, this document—alongside **GP-AI Gatekeeper, GP-AI Psych, and GP-AI Physio**—presents the technological and structural designs that would make this return to work a reality.
About This Document
This document was created before the GP-AI Gatekeeper Innovate UK presentation commenced. The development of GP-AI Gatekeeper became a necessary component for the full-scale implementation of The Good Doctor App design.
This version includes the original seven chapters of The Good Doctor App, alongside twelve additional supporting documents at the end.
Chapters
The twelve supporting documents at the end of *The Good Doctor App* document:
Bonus Content 9.
S-Web 6 VC AI CMS – A Much Stronger UKRI Validation Process
Content Details ⬇️
At this point in the Innovate UK application process, I began documenting the core issues within the current validation system and conceptualising a solution: S-Web 6 VC AI CMS. This document outlines how an AI-driven CMS could significantly improve the UKRI validation process and safeguard against flawed submissions.
Key Topics Explored:
S-Web 6 VC AI CMS – A Much Stronger UKRI Validation Process
How S-Web 6 VC AI CMS Fixes This – Applicants Build Websites Instead of Static Forms
S-Web: A 20+ Year Pedigree in CMS Design
S-Web 6: The Next Evolution in AI-Powered CMS
The Conclusion: A Unified Vision for UK Innovation with Sienna AI
Bonus Content 10.
GP-AI Gatekeeper 2025 for Dr Dawn Geatches iUK KTM
Content Details ⬇️
During the pre-build up to the application, I had the opportunity to speak with Dr. Dawn Geatches. After the close of the competition, I sent her an email where the focus was on:
Validating the £112–£147 Billion Impact
A key outcome from refining this project was a substantial increase in the estimated economic impact. Initially, I referenced a £20 billion figure, but thorough due diligence led to a much larger and evidence-based estimate of £112–£147 billion in GDP and savings annually.
To put this in perspective, this is enough to:
✅ Build the equivalent of the entire HS2 rail network every year
✅ Finance every GP surgery and family doctor in the UK
✅ Support the entire UKRI research programme
✅ With enough spare to build an aircraft carrier
I understand this sounds ambitious. However, I have been researching Economic AI since 2011 (see links in the footer). GP-AI Gatekeeper, GP-AI Psych, and The Good Doctor App are merely the most impactful and easiest-to-deploy components of this system.
I hope the primary focus of our meeting can be on validating these numbers. The formula is straightforward:
For the most detailed presentation of the medical technologies, please refer to:
🔗 The Good Doctor App 1 [5 Nov 2024]
If the figures above are validated, this application is not just the best application in the last round but rather the most significant project ever presented to Innovate UK and UKRI. If there is another project of greater potential, please advise me so that I do not make this claim publicly.
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Bonus Content 11.
From 🚀S-Web 1 to Economic AI for Mark Wilson and Innovate UK