UKAgenticAI.Team Programme Memorandum
UKTrade.Center • Properties.Center • AgenticAI.Football
Canonical AI Endpoints, Federated AI Agent Identities & Regional Workshops
Identities for Member AI Agents • Digital Product Identities for AI-to-AI Trade
For Operation within the IBM Auto Deal Share (ADS) Framework
Overview & Strategic Objectives
UKTrade.Center is the discovery layer for UK Trade in the Agentic economy. It enables people and AI Agents to find organisations, AI Agents, Agent Teams, services, and capabilities across regional and national ecosystems.
The programme provides National Trade AI Infrastructure through Trade Gateways across 46 regional Chambers of Commerce. Each Trade Gateway serves as the trusted front door for its territory, featuring a Canonical AI Endpoint for machine-addressable identity, supported by regional .Team namespaces, sector identities, organizational .Trade identities, and product-level gb.1 / gb.direct identifiers.
Discovery on the Web is increasingly being done by AI Agents. AI Agents do not “browse” in the traditional sense, but instead use Canonical AI Endpoints for Discovery and Interaction. The Featured Trade Gateways are Verified Canonical AI Endpoints. Their verification hashes can be seen HERE
UKAgenticAI.Team Programme
AgenticAI.Football alongside Properties.Center and UKTrade.Center form components of the UKAgenticAI.Team. The programme therefore combines three complementary sector networks spanning trade, property and football. AgenticAI.Football extends the Canonical AI Endpoint model across football clubs, supporters, stadiums, commercial partners, community organisations and the wider football economy.
Major Premier League football clubs will be invited to relevant regional workshops, providing an additional route to demonstrate Canonical AI Endpoints, identify practical Agentic AI use cases and develop 30-day pilots around club operations, fan engagement, commercial activity, community programmes and regional business ecosystems.
Core Strategic Objectives
- Trusted Identity Layer: Create a national and regional identity/discovery layer for AI-enabled trade and procurement.
- Regional .Team Namespaces: Deploy identities for private and public-sector AI Agents (e.g.,
Wales.Team,Birmingham.Team). - Chamber Distribution: Use the British Chambers of Commerce (BCC) network as trusted convening and distribution channels.
- Member Value: Enable Chamber members purchasing AI Agent Identities to claim a free
.TradeDigital Identity and access product-level identities. - Ecosystem Revenue: Generate recurring platform revenue while creating qualified AI implementation and managed-service opportunities for IBM Partners.
Product & Layer Architecture
The UKTrade.Center dual-stack model organizes identity and capability across 7 distinct operational layers:
| Layer | Product / Capability | Primary Customer | Commercial Role |
|---|---|---|---|
| 1 | Canonical AI Endpoint | Asset Owner / Programme | Underlying regional digital asset and discovery anchor |
| 2 | Regional .Team Namespace |
Regional Ecosystem | Geographic identity and discovery context |
| 3 | Sector AI Agent Identity | Businesses, Public Bodies | Primary recurring identity product |
| 4 | .Trade Digital Identity |
Chamber Members | Free onboarding/trust benefit linked to paid AI identity |
| 5 | gb.1 / gb.direct Identities |
Product Owners / Exporters | Paid product-level identity and discovery layer |
| 6 | AI Implementation & Services | Organisations | Partner-led AI, cloud, and consulting revenue |
| 7 | Governance & Verification | Operators / Regulators | Compliance, verification rules, and human oversight |
Three-Year Financial Projections — UKAgenticAI.Team Programme
Pricing assumptions:
(£750 annual AI Agent Identity, £120 gb.1, £180 gb.direct).
Base Case Financial Build — 12 Workshop Programme
| Metric | Year 1 | Year 2 | Year 3 |
|---|---|---|---|
| Active AI Agent Identities | 5,760 | 9,600 | 18,000 |
| AI Agent Identity Revenue | £6.480m | £10.800m | £20.250m |
| gb.1 Product Revenue | £1.556m | £2.592m | £4.860m |
| gb.direct Product Revenue | £1.167m | £1.944m | £3.647m |
| Gross Programme Revenue | £9.201m | £15.336m | £28.757m |
| Operator 50% Share | £4.601m | £7.668m | £14.379m |
| Operating Costs | £1.440m | £2.040m | £2.760m |
| Investor/Asset Owner 20% Distribution | £1.844m | £3.068m | £5.753m |
Planning Scenarios Comparison — 12 Workshop Programme
| Scenario | Year 1 Gross | Year 2 Gross | Year 3 Gross | Y3 Active Identities |
|---|---|---|---|---|
| Conservative | £3.276m | £4.911m | £9.818m | 8,640 |
| Base Case | £9.201m | £15.336m | £28.757m | 18,000 |
| Accelerated | £22.572m | £35.910m | £56.430m | 26,400 |
Operating Model & Workflow
Operations combine automated AI provisioning with human oversight:
Lead Creation
Chamber workshops, referrals, or digital inquiries generate qualified organization leads.
Eligibility & Verification
Verification of organization, authority, requested identity, and sector compliance category.
Identity Reservation & Acceptance
Check canonical availability, confirm commercial acceptance, and reserve registry endpoint.
Provisioning & Claiming
Activate AI Agent identity, issue free .Trade member claim, and attach product identifiers.
Partner & Governance Integration
Register IBM Partner implementation opportunities and maintain ongoing human oversight.
Roadmap & 12 Chamber Workshops
The proposed programme comprises five initial workshops in November–December 2026 followed by seven regional vertical workshops on consecutive Mondays from 11 January to 22 February 2027. Each event is designed to identify practical use cases, candidate AI identities/endpoints, partner requirements and a 30-day pilot pathway. The expanded programme also incorporates AgenticAI.Football as a flagship sector demonstrator, with major Premier League clubs invited to relevant regional workshops.
Each workshop will also feature the wider UKAgenticAI.Team proposition, including Properties.Center and AgenticAI.Football alongside UKTrade.Center. Major Premier League clubs and relevant club/community organisations will be invited to appropriate regional workshops.
Workshops 1–5
| # / Date / Gateway | Endpoints | Focus | Illustrative IBM / Partner Input |
|---|---|---|---|
| 1 — 9 Nov 2026 Scotland.Trade Aberdeen |
CrudeOil.TradeGasoline.TradeScotland.DirectAberdeen.1 |
Energy AI procurement and AI-infrastructure supply-chain discovery. | watsonx, Red Hat OpenShift, hybrid cloud and supply-chain risk use cases. |
| 2 — 16 Nov 2026 UKTrade.Center Launch London |
GB.DirectGB.1Verified.DirectVerified.1 |
AI Agent identity, verification concepts and Web2/Web3 dual-identity mapping for British organisations and products. | Security, identity, governed AI and enterprise integration. |
| 3 — 23 Nov 2026 London.Shanghai.Trade London |
Trade.London.wsShanghai.Trade |
Cross-border trade-corridor discovery, structured product identity and provenance workflows. | Enterprise data integration, governance, security and hybrid-cloud architecture. |
| 4 — 30 Nov 2026 Trade.Wales.Center Wales |
Defence.TradeDefence.DirectAerospace.1 |
Aviation and defence machine-readable identities and human-supervised procurement workflows. | Hybrid cloud, security, watsonx and agent orchestration. |
| 5 — 7 Dec 2026 NorthernIreland.Trade Belfast |
NorthernIreland.TradeNorthernIreland.TeamCybersecurity.1 |
Cybersecurity and AI ethics, trusted AI Agent discovery and SME-to-enterprise procurement workflows. | Security, governed AI, supplier onboarding and agent orchestration. |
Workshops 6–12 — Regional Vertical Programme
| # / Date / Region | Featured Vertical / Endpoints | Workshop Theme | Illustrative IBM / Partner Input |
|---|---|---|---|
| 6 — 11 Jan 2027 Yorkshire.Trade |
Barnsley.TeamAirdrie.Team |
AI Adoption ↔ AI Infrastructure. Cross-regional demonstrator connecting business AI adoption with infrastructure, compute, cloud and technology-provider discovery. | watsonx, agent orchestration/governance, Red Hat OpenShift, hybrid cloud and security. |
| 7 — 18 Jan 2027 East of England Essex • Bedfordshire • Cambridgeshire • Suffolk |
Pharmaceuticals.DirectPharmaceuticals.Center |
Life Sciences & Pharmaceutical Supply Chains. Supplier/product discovery, provenance information, cold-chain data and governed procurement workflows. | watsonx, AI governance, enterprise data integration, security and OpenShift. |
| 8 — 25 Jan 2027 East Midlands Lincolnshire • Derbyshire • Nottinghamshire • Leicestershire • Northamptonshire |
Aircraft.DirectAerospace.1 |
Aerospace & Advanced Manufacturing. Supplier capability discovery, component/product identity, asset lifecycle and export supply-chain workflows. | IBM Maximo, watsonx, OpenShift and engineering/data integration. |
| 9 — 1 Feb 2027 North East Northumberland • County Durham • Middlesbrough |
SustainableAviationFuels.comSAF.Direct |
Sustainable Aviation & Industrial Decarbonisation. Feedstock/supplier discovery, provenance, sustainability data and commercial/offtake workflows. | watsonx, Envizi ESG data, Maximo, integration and hybrid cloud. |
| 10 — 8 Feb 2027 North West Cumbria • Lancashire • Greater Manchester • Merseyside |
Beverage.TradeBeverages.Center |
FMCG, Beverage & Distribution. GTIN-enabled product discovery, wholesale/retail workflows, logistics, inventory and export routing. | watsonx Orchestrate, enterprise data integration, automation and supply-chain architecture. |
| 11 — 15 Feb 2027 South West Dorset • Somerset • Bristol • Gloucestershire • Wiltshire • Devon • Cornwall |
Computers.1Computers.Team |
Agentic Computing & AI Execution. Proposed trusted agent discovery, multi-agent orchestration, computer-use environments and governed enterprise AI. | watsonx Orchestrate, watsonx.ai/data, OpenShift, security and governance. |
| 12 — 22 Feb 2027 West Midlands Shropshire • Staffordshire • Warwickshire • Birmingham • Worcestershire |
Vehicles.TradeVehicles.Center |
Automotive, EV & Mobility AI. Supplier discovery, fleet/parts identities, asset lifecycle, EV supply chains and machine-readable procurement. | IBM Maximo, watsonx, OpenShift, data integration, automation and AI governance. |
AgenticAI.Football — Premier League & Regional Workshop Strand
AgenticAI.Football will operate as a flagship sector demonstrator within UKAgenticAI.Team. Major Premier League clubs will be invited to workshops relevant to their regions alongside Chambers, businesses, universities, technology partners and community organisations.
| Strand | Focus | Output |
|---|---|---|
| Club Identity & Discovery | Canonical club AI identities, verified endpoints, capabilities and authorised Agent interaction. | Candidate club endpoint architecture. |
| Fan Experience | Supporter concierge, ticketing, travel, accessibility, multilingual engagement and merchandise. | Supporter-facing pilot candidates. |
| Football Business | Sponsorship, hospitality, procurement, commercial intelligence and operations. | Commercial use cases and requirements. |
| Community & Skills | Club foundations, employability, AI literacy, education and SME engagement. | Regional community demonstrators. |
| Regional Football Economy | Club → Stadium → Supporters → Community → Local Businesses → Region. | Cross-ecosystem 30-day pilot. |
Common Objectives & Target Attendees
Objectives: demonstrate the featured regional/vertical endpoint proposition; identify 3–5 commercially relevant use cases; identify candidate organisations, AI Agent and product identities; map appropriate technology-partner capabilities; and agree pilot owners, data/integration requirements, human oversight and a 30-day action plan.
Target attendees: Chamber leadership; senior employers; SMEs and exporters; sector manufacturers/suppliers; procurement and supply-chain executives; digital/AI leaders; technology/infrastructure providers; universities and skills organisations where relevant; economic-development stakeholders; IBM/technology partner specialists; and prospective pilot participants.
Standard 2½-Hour Workshop Agenda
| Time | Session | Purpose |
|---|---|---|
00:00–00:15 |
Welcome & Regional Context | Host introduction, regional priorities and objectives. |
00:15–00:35 |
Featured Vertical | Regional opportunity, buyer/supplier problem and featured endpoints. |
00:35–01:00 |
Canonical AI Endpoint Architecture | Identity, discovery, capability declarations, product identities and human oversight. |
01:00–01:25 |
Sector Demonstration | Scripted AI-assisted discovery/procurement workflow. |
01:25–01:50 |
IBM / Technology Partner Session | Illustrative solution architecture and implementation considerations. |
01:50–02:20 |
Executive Roundtable | Select use cases, participants and integration requirements. |
02:20–02:30 |
Pilot Commitments | Owners, next actions and 30-day pilot pathway. |
Workshop 6–12 Demonstrations & Expected Outputs
| Workshop | Demonstration | Expected Outputs |
|---|---|---|
| 6 — Yorkshire | Barnsley AI demand discovers relevant infrastructure/provider capabilities through UKTrade.Center and Airdrie.Team, with human approval. | 3–5 use cases; candidate identities/providers; pilot participants; 30-day demonstrator plan. |
| 7 — East of England | Pharmaceutical supplier/product discovery using authorised provenance/logistics information, preparing an RFQ for review. | Use cases; candidate manufacturers/distributors; endpoint hierarchy; data/compliance questions; pilot specification. |
| 8 — East Midlands | Aerospace buyer discovers suppliers against a component/manufacturing requirement and prepares a qualified shortlist. | Supplier model; priority workflows; candidate identities; integration requirements; pilot group. |
| 9 — North East | SAF procurement scenario discovers potential supply and available provenance/sustainability information before authorised decision-making. | Participant map; supplier identities; provenance/data requirements; workflows; pilot plan. |
| 10 — North West | Hospitality/retail buyer discovers beverage suppliers, stock/logistics information and prepares an order/RFQ for approval. | Product categories; buyers/suppliers; GTIN demonstration; workflows; pilot cohort. |
| 11 — South West | Specialist AI agents collaborate on an enterprise task with identities, capabilities and permissions resolved through the proposed framework. | Agent taxonomy; security/permission requirements; enterprise workflows; developer group; proof of concept. |
| 12 — West Midlands | Manufacturer/fleet buyer specifies a vehicle/parts requirement; AI-assisted discovery identifies candidate suppliers and prepares a procurement workflow. | Supplier map; candidate identities; parts/product demonstration; priority workflows; deployment plan. |
Post-Workshop Conversion Process
Chamber/UKTrade.Center-generated opportunities will remain distinct from IBM-sourced Auto Deal Share opportunities
Two Complementary AI Demonstrators
Barnsley and Airdrie/Lanarkshire provide two complementary contexts in which the UKTrade.Center
Canonical AI Endpoint model could be demonstrated: Barnsley.Team around practical AI
adoption, and Airdrie.Team around AI infrastructure, innovation and supply-chain capability.
Barnsley.Team — AI Adoption
Barnsley.Team is proposed as a trusted AI Agent identity and discovery environment supporting the
wider ecosystem around Barnsley, the UK’s first government-backed Tech Town.
- Verified organisational and authorised AI Agent identities.
- SME AI adoption and supplier discovery.
- Education, skills and workforce use cases.
- Healthcare and public-service discovery use cases, subject to applicable governance.
- Human-supervised digital procurement and capability matching.
- Product-level discovery through GTIN Token™ and Digital Product Passport connections where appropriate.
Airdrie.Team — AI Infrastructure & Innovation
Airdrie.Team is proposed as a trusted AI Agent identity, discovery and innovation environment for
organisations participating in and around the Airdrie/Lanarkshire AI Growth Zone ecosystem.
- AI infrastructure and data-centre supply-chain discovery.
- Cloud, compute, connectivity and technology-provider capability identities.
- Energy, engineering and infrastructure supplier discovery.
- Skills, innovation and AI-business ecosystem participation.
- Machine-readable capability declarations for authorised AI discovery.
- Connections between infrastructure providers, AI solution providers and prospective buyers.
Barnsley.Team ↔ UKTrade.Center ↔ Airdrie.Team
Together, the two environments can provide a practical cross-regional demonstrator connecting
AI adoption with AI infrastructure and innovation. Through UKTrade.Center
and the Canonical AI Endpoint framework, authorised AI Agents could discover organisations, identify
capabilities, locate potential suppliers or buyers, exchange structured requirements and support
human-supervised procurement workflows across the two ecosystems.
AI Infrastructure • Compute • Cloud • Data Centres • Technology Suppliers • Innovation
↓
UKTRADE.CENTER / CANONICAL AI ENDPOINTS
Identity • Verification • Discovery • Capabilities • Governed Interaction
↓
BARNSLEY.TEAM
SMEs • Education • Healthcare • Public Services • Procurement • AI Adoption
The intended demonstrator is a programme proposition.
Canonical AI Agent Identity Catalogue
The core catalogue contains 261 sector stems. Across 46 regional gateways, this yields 12,006 regional-sector identity combinations (e.g., substituting {Region} for Wales, Birmingham, Scotland, etc.). Examples below:
| # | Wales Canonical Identity | Regional Template | Status |
|---|---|---|---|
| 1 | Adhesives.Wales.Team |
Adhesives.{Region}.Team |
AI Endpoint |
| 2 | Chemicals.Wales.Team |
Chemicals.{Region}.Team |
AI Endpoint |
| 6 | Plastics.Wales.Team |
Plastics.{Region}.Team |
AI Endpoint |
| 19 | Fuels.Wales.Team |
Fuels.{Region}.Team |
AI Endpoint |
| 30 | Fungicides.Wales.Team |
Fungicides.{Region}.Team |
AI Endpoint |
| 32 | Pharmaceuticals.Wales.Team |
Pharmaceuticals.{Region}.Team |
AI Endpoint |
| 34 | Medical.Wales.Team |
Medical.{Region}.Team |
AI Endpoint |
| 66 | Computers.Wales.Team |
Computers.{Region}.Team |
AI Endpoint |
| 74 | MedicalEquipment.Wales.Team |
MedicalEquipment.{Region}.Team |
AI Endpoint |
| 93 | Fireworks.Wales.Team |
Fireworks.{Region}.Team |
AI Endpoint |
| 164 | Clothing.Wales.Team |
Clothing.{Region}.Team |
AI Endpoint |
| 190 | Meat.Wales.Team |
Meat.{Region}.Team |
AI Endpoint |
| 255 | AlcoholicBeverages.Wales.Team |
AlcoholicBeverages.{Region}.Team |
AI Endpoint |
Prime Domains as Canonical Endpoints
A Canonical AI Endpoint extends a standard domain name from human web browsing into a machine-addressable anchor for autonomous AI discovery and interaction.
The Web2 / Web3 Dual-Stack Paradigm
| Web2 / Human-Facing Layer | AI Identity / Machine-Facing Layer |
|---|---|
Canonical domain (e.g., crops.trade) |
Associated namespace (e.g., crops.1) |
| Public discovery and commercial access | Persistent AI identities and namespace hierarchy |
| Authoritative public web content | Agent, product, and service identities |
| Human and web application interaction | Machine-addressable capability relationships |
About GTIN Token Limited (Programme Co-ordinator)
GTIN Token Limited is a UK technology entity established in 2023 operating the operational infrastructure for the programme. It bridges physical product barcodes (GTINs) into persistent AI endpoints (e.g., .gb.1 or .1 domains), enabling autonomous AI agents to evaluate, verify, and procure origin products via structured metadata and Digital Product Passports (DPP).
Operating under licence from the IBM Partner of Record, it delivers the repeatable AI-Endpoint-in-A-Box resource for trade networks.
AI-Endpoint-in-A-Box
GTIN Token Limited operates Agentic-AI.Network which was piloted with Properties.Center as a Properties Agentic-AI resource. Properties.Center operates the Properties Investor Group with over 4,100 Members. GTIN Token Limited has used its experience in this regard to develop the repeatable AI-Endpoint-in-A-Box resource, for use across industries, and for use in Trade and Commerce.
The purpose is to make commercial ecosystems increasingly addressable to authorised AI Agents while preserving stable identities, and human oversight.
UKAgenticAI.Team • UKTrade.Center • Properties.Center • AgenticAI.Football