HMRC's Connect yields about £4.6 billion of extra tax in 2024–25

AI system

System: HMRC Connect (data-matching and risk analytics) and TRUCE (Transaction Risking Upstream in a Connect Environment)
Model: Not assessed
Release: Not assessed
Provider: Not assessed
Role: Not assessed
Configuration: Not assessed
Inputs and outputs: Not assessed
Autonomy: Not assessed
Workflow: Linking of bank, marketplace, land-registry and other data to taxpayer records. Risk rules and scorecards feeding compliance cases to about 4,300 staff. Upstream risking of VAT and Self Assessment repayment claims (TRUCE, then IDRS).
Human oversight: Not assessed
Relation to AI: Yield attribution to Connect comes from HMRC's FOI response as reported by Pinsent Masons. No independent evaluation apportions yield between the system and caseworkers. The NAO's audit report describes TRUCE/IDRS as automated risk-assessment of repayment claims whose controls it reviewed, without quantifying stopped repayments. The cited sources describe the system as data analytics and risk rules rather than machine learning.
AI contribution: Not assessed

Outcome identifiers: Not assessed
Benefit: £3.4 billion of additional annual yield, about £4.6 billion in 2024–25
Category: Increased Product Revenue
Status: Not assessed
Beneficiary groups: People. Organizations. Society.
Beneficiaries: Not assessed
Reach: Not assessed
Distribution and access: Not assessed
Duration: Not assessed
Expected?: Yes
Costs and harms: Not assessed

Studies: Not assessed
Study design: Not assessed
Measurement: Not assessed
Setting and sample: Not assessed
Measures: £3.4 billion of additional annual yield, about £4.6 billion in 2024–25
Comparison: Not assessed
Results: £3.4 billion of additional annual yield, about £4.6 billion in 2024–25
Additional value from AI: Not assessed
Limitations: Not assessed
Denominators: Not assessed
Materials for replication: Not assessed

Kind of value: additional tax yield from Connect cases in the 2024-25 tax year (average £3.4bn a year)
Amount: £4.6bn
Currency and prices: Not assessed
Period and unit: Not assessed
Realization: Not assessed
Recipients and payers: HMRC, for the Exchequer, gains
Gross or net: Not assessed
Included costs: Not assessed
Comparison: Not assessed
Method: Not assessed
Return and payback: Not assessed

Conditions for replication: Legal gateways to third-party data. Staff capacity to work cases generated by the system. Governance of risk rules, which the C&AG reviews annually.
Replication attempts: 2 follow-up entries. Outcome unresolved: 1. Benefit recurred: 1.
Later findings: 9 July 2026. HMRC's 2025-26 annual report, ordered printed on 9 July 2026, says that AI and advanced analytics enabled the protection and recovery of £10 billion in tax in 2025-26 and that a Chief AI Officer was appointed in April 2026; the report does not name Connect.
Availability: Not assessed
Institutional decision: Not assessed
Grounds: Not assessed
Action and result: Not assessed
Success criterion: Not assessed

Assessed benefits: People. Organizations. Society.
Depth: Not assessed
Reasons: People: Aggregate yield with no discrete attributable event. Organizations: The £4.6 billion figure is HMRC's own annual attribution via FOI, not an audited event. Society: Aggregate national revenue figure.
Observed or intended: Not assessed
Rubric: Not assessed
Assessor and date: Not assessed
Alternative assessments: Not assessed
Fill: Independently studied

Kind: Not assessed
Related entries: Not assessed
Field: Tax administration: compliance and fraud detection. National revenue authority.
Purpose: Match and analyze data from many sources to identify tax non-compliance and risky repayment claims
Dates: Date basis unassessed: 2025 (precision unassessed). Updated: 21 October 2026.
Stage: Not assessed
Version: SHA-256: 609307d76375…