Document type: Public methodology statement
Scope: South West England
Version: 1.0 · 2026
Contact: methodology@westward.org.uk

The Westward Accountability Framework

How Westward monitors public money and public decisions across the South West — what we look for, how we analyse it, where our analysis can go wrong, and how to challenge us when it does.

Contents
  1. Purpose and scope
  2. The five accountability patterns
  3. Data sources
  4. The AI analysis layer
  5. Editorial process and flag classification
  6. What Westward does not claim
  7. Known limitations
  8. Corrections and the challenge process
  9. Version history

Purpose and scope

Westward is an independent public resource that monitors spending, asset decisions, planning records, and democratic process across local and regional government in the South West of England. Our starting geography covers Bristol, WECA, Somerset, Gloucestershire, and Wiltshire, with scope to expand as the South West devolution settlement develops.

We exist because most civic data infrastructure is passive: it stores documents but does not interpret them. Westward adds an active analytical layer — a documented, repeatable framework applied consistently to public data — and publishes not just what we have found, but how and why we found it. We believe that transparency about methodology is inseparable from transparency about public institutions.

Westward flags patterns that merit scrutiny. We do not determine wrongdoing, and we do not investigate individuals. A Westward flag is the beginning of a question, not the end of one.

The five accountability patterns

All Westward analysis is organised around five accountability patterns. These were developed through investigative reporting on Bristol City Council and WECA, and are grounded in a concept we call structural asymmetry: the observable tendency in public financial decision-making for risk and liability to move downward through the public sector hierarchy while resources and opportunity flow upward toward private and institutional actors.

PATTERN 01Downward transfers
The transfer of public assets, buildings, land, or service obligations to community organisations, voluntary sector bodies, or social enterprises — often at below-market terms and with insufficient attention to the long-term capacity of the receiving organisation to sustain what it has taken on.
Indicators: community asset transfers · service outsourcing to VCS bodies · below-market property disposals to third sector
PATTERN 02Upward flows
The movement of public money toward private or corporate entities through grants, subsidies, infrastructure investment, or procurement — particularly where the public benefit case is underdeveloped, competitive tendering has been waived, or the recipients are large institutional actors rather than local or community ones.
Indicators: direct grants to private companies · infrastructure subsidies to developers · non-competitive procurement above threshold
PATTERN 03Connected decisions
Grants, contracts, planning approvals, or other material decisions where relationships between decision-makers and beneficiaries are undisclosed, inadequately declared, or insufficiently examined in the public record. This pattern does not assume impropriety: it identifies decisions where the public record does not contain enough information to rule it out.
Indicators: decisions involving entities with board or advisory links to decision-makers · repeated awards to same recipients · gaps in interest registers
PATTERN 04Accountability gaps
Significant decisions taken through procedural mechanisms that reduce or eliminate democratic oversight: delegated officer decisions, urgency provisions invoked without clear justification, items classified as exempt from public disclosure, and decisions made in private sessions.
Indicators: delegated decisions above value threshold · urgency provisions · exempt or confidential items · decisions by arms-length bodies
PATTERN 05Trajectory changes
Departures from commitments made in the public record: policy reversals, abandoned strategies, quietly cancelled projects, and decisions that contradict prior elected member positions or manifesto commitments.
Indicators: budget reallocations inconsistent with stated priorities · cancelled consultations · strategy documents superseded without announcement

Data sources

Westward monitors a defined set of public data sources on a regular schedule. All sources are either statutory publications, Freedom of Information releases, or open data published voluntarily by public authorities. We do not use data obtained through hacking, leaks, or any unauthorised access.

Current monitored sources include: spending over £500 data published by Bristol City Council, WECA, Somerset Council, Gloucestershire County Council, and Wiltshire Council; committee agendas, minutes, and decision records from each authority; planning portal records; South West devolution deal documentation; Companies House records; and the register of members' interests for each authority's elected body.

Source documents are retained and linked from every flag we publish, so that any reader can verify the underlying record directly.

The AI analysis layer

Westward uses a large language model — specifically, Anthropic's Claude API — to apply the five accountability patterns to ingested data at scale. This is not a black box: the model is given an explicit, documented prompt that encodes each pattern as a set of testable criteria, and its output is structured to explain which pattern a given item matches and why.

The AI layer performs pattern detection, not editorial judgement. It identifies candidate flags and generates a plain-English explanation of the match. It does not determine significance, draw conclusions about intent, or make final publication decisions. Every AI-generated flag is reviewed against the source document before publication.

Our prompting approach
For each data item, the model is asked: does this item match any of the five Westward accountability patterns? If so, which pattern, what specific features triggered the match, and what is the significance — high, medium, or low — based on value, procedural irregularity, and departure from precedent? The model's response is structured and logged alongside the source data. We do not ask the model to determine wrongdoing or attribute motive.

Editorial process and flag classification

Every item that reaches publication passes through three stages: automated monitoring identifies candidates; AI analysis assesses each against the five patterns; a human editor reviews the flag against the source document and decides whether to publish, hold, or dismiss.

Classification A
Algorithmically flagged
Pattern match identified by AI. Source document reviewed. Not yet subject to full editorial investigation.
Classification B
Editorially reviewed
Human editor has reviewed the source document and confirmed the pattern match. Additional context added.
Classification C
Investigated
Subject of a full editorial investigation. Cross-referenced sources, FOI requests, or right-of-reply completed.

Items dismissed at editorial review stage are not published. We maintain an internal log of dismissed flags and periodically review the dismissal rate as a measure of the AI layer's precision.

What Westward does not claim

A Westward flag indicates that a pattern associated with accountability risk is present in the public record. It does not indicate that a law has been broken, that a public official has acted improperly, or that a decision was wrong. Many flagged items will have legitimate explanations not visible in the automated data. The purpose of a flag is to direct attention, not to assign blame.

Westward does not investigate individuals. Where named individuals appear in our flags, this is because they are connected to a public decision in their official capacity. We do not publish personal information beyond what is already in the public record.

Known limitations

We publish these limitations not as disclaimers but as a genuine account of where our methodology can fail.

L1Spend data contains known gaps. Transactions routed through arms-length bodies, subsidiaries, or grant-funded partners may not appear in headline spend publications.
L2AI pattern-matching produces false positives. A transaction matching Pattern 02 indicators may have a full and legitimate competitive procurement record not visible in spend data alone.
L3The structural asymmetry framework reflects a particular analytical lens. It surfaces certain kinds of accountability risk and will not surface others. Westward is not a comprehensive audit of public finances.
L4Pattern 05 (trajectory changes) requires longitudinal data that is not always consistently structured across time. Early monitoring in this category may produce lower-quality flags.
L5The AI model used may reflect biases present in its training data. We mitigate this through the structured prompt approach and human editorial review, but cannot guarantee all outputs are bias-free.

Corrections and the challenge process

Any public body, organisation, or individual named in a Westward flag may contact us at methodology@westward.org.uk with the flag reference number, the specific claim in dispute, and supporting evidence. We commit to acknowledging all requests within five working days and publishing corrections prominently alongside the original flag rather than silently amending it.

We will remove a flag if it is demonstrated to be factually incorrect. We will not remove a flag solely because the subject disagrees with the pattern designation or objects to the visibility of public information already in the public record. Where we decline a removal request, we will explain our reasoning in writing.

Version history

This document is versioned. When the framework changes we will publish a new version with a clear account of what has changed and why. Previous versions will remain publicly accessible. We intend to publish the full prompting methodology used in the AI layer as a separate technical document once the framework has stabilised through live operation.