Operational scenarios

A use-case library for sovereign AI and enterprise intelligence

SDF is not a passive catalogue. It is an activation layer for AI agents, analysts and decision-makers who need trusted UK-specific context.

Review AI benchmarks

Scenarios

Where the Foundry can be utilised

Filter the gallery by operational theme, then open any story to compare the current state with the connected-entity-layer future state.

Scenario 01

Strategic procurement

procurement

Match public demand to verified suppliers, local alternatives, frameworks and risk indicators.

Department benefits

Cabinet Office

Fewer duplicated discovery exercises and faster supplier shortlisting.

HM Treasury

Clearer spend-risk trade-offs before approvals.

Grant-ready impact summary

Pilot evidence in 8-12 weeks; reusable procurement view in 6 months.

Reduces duplicated discovery, incumbent bias and late-stage supplier concentration risk.

Evidence citations

Supplier shortlists can be expanded beyond obvious incumbents.

Sources: Public procurement notices, Companies House, Framework and award records

Before

Teams search frameworks, spreadsheets and vendor lists separately, often finding the obvious incumbent first.

After

The Foundry surfaces verified suppliers, ownership context, local substitutes and resilience signals in one evidence trail.

Read the story

Scenario 02

Local-first sourcing

local intelligence

Find capable firms around a project site using postcode, skills, growth and capacity signals.

Department benefits

Local government

Higher local supplier inclusion in project pipelines.

Cabinet Office

Shorter route from demand signal to verified supplier options.

Grant-ready impact summary

First geography demonstrator in 4-8 weeks; repeatable local playbook in 3-4 months.

Reduces missed local capacity, weak place-based evidence and over-reliance on national supplier lists.

Evidence citations

Nearby firms can be identified around a project site with postcode precision.

Sources: Postcode and geospatial indexes, Companies House, Local economy signals

Before

Local sourcing relies on directory searches and incomplete knowledge of firms operating near the project site.

After

Postcode-level company, workforce and growth signals reveal credible suppliers within the relevant travel-to-work area.

Read the story

Scenario 03

Skills and cluster mapping

skills

Connect companies, universities, students, alumni and occupations to reveal practical skills pipelines.

Department benefits

Department for Business and Trade

Better targeted cluster propositions and investor shortlists.

Local government

More precise training and partnership priorities.

Grant-ready impact summary

Initial cluster evidence pack in 6-10 weeks; refreshed skills view quarterly.

Reduces investment in generic skills programmes that are not tied to real employer demand or research translation.

Evidence citations

Skills pipelines can be mapped from institutions into employer clusters.

Sources: University and student records, Alumni-company links, Employer sector data

Before

Skills planning uses broad regional averages that miss emerging company clusters and university-to-firm pathways.

After

The connected entity layer links employers, education assets and workforce signals to show where capability is forming.

Read the story

Scenario 04

SME growth discovery

growth

Reveal high-potential companies outside conventional networks and connect them to funding, contracts and partners.

Department benefits

Department for Business and Trade

More qualified firms entering growth and trade programmes.

HM Treasury

Clearer evidence of intervention return and fiscal impact.

Grant-ready impact summary

National scan in 6-8 weeks; department workflow integration in 4-6 months.

Reduces missed growth firms, duplicated outreach and support targeted only at already-visible companies.

Evidence citations

High-potential SMEs can be surfaced before they appear in conventional networks.

Sources: Company accounts, Funding and grant signals, Hiring and growth indicators

Before

Growth teams depend on referrals and self-reporting, leaving promising firms invisible until they are already well known.

After

Verified growth, finance, hiring, sector and place signals identify firms with momentum before conventional lists do.

Read the story

Scenario 05

AI benchmarking and evaluation

AI benchmarking

Ground model answers in attributed UK entity data and test them against sovereign benchmark tasks.

Department benefits

Sovereign AI Unit

Repeatable benchmark scores across priority AI systems.

DSIT

Clearer evidence for sovereign AI readiness and gaps.

Grant-ready impact summary

Initial benchmark suite in 10-12 weeks; signed releases every quarter.

Reduces reliance on generic AI tests, ungrounded model claims and non-repeatable assurance evidence.

Evidence citations

AI benchmark answers can be grounded in verified UK entity evidence.

Sources: Canonical entity spine, Procurement records, Ownership and control records

Before

Model evaluation uses generic tests that do not reflect UK public-sector decisions, entity ambiguity or local context.

After

Sovereign benchmark tasks test entity disambiguation, local sourcing, ownership reasoning and evidence citation.

Read the story

Scenario 06

Regional investment case

growth

Build evidence for place-based interventions by connecting firms, jobs, procurement flows and institutions.

Department benefits

HM Treasury

Sharper value-for-money cases with measurable uplift indicators.

DSIT

Better prioritised investment zones and capability programmes.

Grant-ready impact summary

Investment evidence pack in 8-12 weeks; outcome monitoring over 6-12 months.

Reduces weak appraisal evidence, incomparable regional bids and inability to track public-value uplift.

Evidence citations

Regional investment cases can be tied to measurable firm, jobs and spend baselines.

Sources: Company location records, Employment indicators, Public spend records

Before

Investment cases rely on coarse statistics and disconnected project anecdotes that are hard to compare.

After

Decision-makers can trace firms, sectors, jobs, spend and university links into a sharper value-for-money narrative.

Read the story

Scenario 07

Supplier resilience

procurement

Map dependencies, concentration, insolvency risk, foreign-control links and substitution paths.

Department benefits

Ministry of Defence

Reduced mission-critical supplier opacity before procurement decisions.

DESNZ

More verified alternatives for critical energy supply chains.

Grant-ready impact summary

Risk map in 6-10 weeks; resilience dashboard in 4-6 months.

Reduces blind spots around supplier fragility, foreign-control exposure and single-point-of-failure dependencies.

Evidence citations

Critical supplier dependencies can be mapped before disruption occurs.

Sources: Procurement awards, Corporate group structures, Sector classifications

Before

Risk checks happen late, after procurement choices have narrowed and dependencies are embedded.

After

The Foundry shows concentration, control, financial health and substitute capacity before commitments are made.

Read the story

Side-by-side comparison

Compare selected use cases by department, outcomes and evidence

Select up to four use cases from the gallery and compare the operating case for each one.

Use case

Strategic procurement

procurement

Local-first sourcing

local intelligence

Skills and cluster mapping

skills

Departments

Cabinet Office
HM Treasury
Local government

Local government
Cabinet Office
DESNZ

Department for Business and Trade
Local government
UKRI

Measurable outcomes

Reduced duplicate supplier discovery
More resilient public spend
Earlier risk triage

Higher local spend retention
Faster supplier discovery
Place-based delivery evidence

Sharper skills investment
Visible cluster formation
Better university-to-firm targeting

Evidence signals

Framework coverage
Supplier risk
Ownership
Local alternatives

Postcode precision
Supplier density
Employment
Growth indicators

Universities
Students
Alumni
Occupations