Wolf AI Intelligent Software.
Human Enabled, AI Driven.
Six Divisions · One AI Ecosystem

One Platform Behind Every Division

From Self Funding AI to Legal, Insolvency, Energy, Consultancy and Training, it all runs on the same AI platform.

A Quick Introduction

Meet the Wolf AI Labs Platform

Alex Miller, our Head of Digital, gives a short tour of how one AI infrastructure powers every division, and why it is built to fund itself.

  • One platform behind Legal, SME, Energy, Insolvency, Consultancy and Training
  • Self funding AI designed to pay for itself as it scales with your business
  • Built on UK data centres with enterprise grade security
Alex Miller, Head of Digital, Wolf AI Labs
Track Record

We have coordinated with.

OCC / Wolf AI
Pogust Goodhead Nera Capital Slater & Gordon ARAG (ATE) Genpact Bryant Park Capital Harcus Parker Business Energy Claims Omni Bridgeway Jones Whyte Markel (ATE) Courmacs Legal Augusta Ventures Begbies Traynor MFN Claims Temple LP (ATE) Justizia Law The Insolvency Group Taylor Blakeley
The Wolf Intel Protean Platform Builds

The AI Engines Behind Everything

One core AI engine drives all six divisions and every sector below.

Explore Wolf Intel
01
SME BusinessesSelf Funding AI + Your Business AI Passport
LiveEnter ➤
02
Legal & Claims
1.4m/mth processing capacity
8 AI Engines · 47 Products
LiveEnter ➤
03
Insolvency & Accountancy
InSolv platforms
LiveEnter ➤
04
Energy
Digital meter access platforms
LiveEnter ➤
05
Consultancy
Compliance structured platform feeds
LiveEnter ➤
06
Business AI Training + Apprenticeships
Full scope of Video Call training modules · Max 5 per class
LiveEnter ➤

Meet the Team

The people building Wolf AI's claims infrastructure.

Matthew, Founder & CEO
Founder & CEO
Matthew

Matthew has 30 years in business, working in the acquisitions sector and business restructuring throughout the UK. He specialises in AI software development, and was formerly licensed by the Ministry of Justice to deal with complex financial product claims.

History & experience →
Max, Operational Support
Operational Support
Max

Maxime previously worked within the financial services and insurance sector, processing claims and complaints. She is a qualified career auditor with extensive experience in compliance and forensic audit for financial products.

Luke, Business Development Manager
Business Development Manager
Luke

Luke has a strong sales and management background, with experience in the services sector covering claims, finance and compliance. He also has a track record in AI software platform development and back end software testing.

Ethan, Software Admin & Support
Software Admin & Support
Ethan

Ethan has a BSc in Environmental Geoscience (University of Glasgow). He is experienced in AI claims processing, back end programming and AI data sets, and liaises with the back office on day to day platform updates.

Jacob, Head of Compliance
Head of Compliance
Jacob

Jacob brings 17 years of compliance experience across claims, legal services and consumer finance. He oversees regulatory alignment, data protection and complaint handling standards across every Wolf AI platform, keeping our processes audit ready at all times.

Anya, Head of Marketing
Head of Marketing
Anya

With a BA (Hons) and an MSc, Anya handles our full brand output through our MarketingWorks Media arm, with an emphasis on developing social media and digital content across the group.

Jane, Accounts Manager
Accounts Manager
Jane

Jane has extensive experience across HR, payroll, accounts and regulatory compliance. She runs the day to day operation of our back office accounts and admin department, handling client account acquisitions.

Kiz, Full Stack Engineer
Full Stack Engineer
Kiz

Kiz maintains and continually updates our structured AI database within our evolving platform. He is a proven web developer specialising in HTML, CSS, jQuery, JavaScript, PHP, Ajax and more.

Anna, Data Scientist
Data Scientist
Anna

Anna matches external database accruals and case values against potential client remediation results within the AI platform. She specialises in machine learning, statistics and LLM programming.

Gopal, Software Automation
Software Automation
Gopal

Gopal handles the AI automation of our online data points within the platform. He is experienced in forensic analytics and data mining, with detailed knowledge of proprietary functions around online accounting systems.

Asha, Software Development
Software Development
Asha

Asha works on our AI platform development, integrating additional functionality into the software systems. She covers compliance and regulator actions, integrating RAG into our LLM with relevant external knowledge sources.

Alex, Head of AI Digital Management
Head of AI Digital Management
Alex

Alex is our first digital AI employee, covering a detailed scope of tasks, even when most of us are asleep. He acts like a virtual worker, using AI to automate complex, multi step digital tasks. We're monitoring his progress.

Contributors and contractors
Contributors
Contractors

A big thank you to all our UK and US contributors and subcontractor friends, who help us create a uniquely affordable, accessible AI multi claims platform service for our B2B and B2C clients.

We're always on the lookout for talented people. If you're qualified or experienced in AI application, send your CV to hr.dept@occ-uk.com.

At Wolf AI we treat outcome, not effort, as the unit of value. Innovation never sleeps.

Wolf AI Labs

Building Tomorrow's AI Platforms Today

Wolf AI Labs develops AI powered platforms that help SMEs work smarter, reduce costs, improve compliance, and unlock new opportunities for growth. We automate complex business processes, transforming time consuming manual tasks into intelligent, autonomous workflows that save time and increase productivity.

Our solutions span business automation, compliance, financial recovery, claims infrastructure, customer engagement, and operational intelligence, enabling small and medium sized businesses to access enterprise grade AI without the enterprise level cost or complexity.

Whether you are looking to streamline operations, recover lost revenue, improve decision making, or prepare your business for the AI economy, Wolf AI Labs provides the technology to help you compete with confidence.

Our Mission

To make advanced AI practical, affordable, and accessible for every SME, creating intelligent platforms that drive growth, increase efficiency, and keep businesses Ahead of the Pack.

WOLF AI LABS

Privately Funded·Independently Owned·Built For The Long Term

Most AI vendors are twelve months from their next funding round.

We are not a startup.
We are a funded operator.

We fund our own roadmap. We own our infrastructure.
Every platform we run exists today, built in-house in the UK.

NoInvestors NoExternal Capital NoDebt NoExit Plan

Vacancies

Careers at Wolf AI Labs

Client Assurance Manager, Dual Programmes, Manchester Office
Now Hiring

Client Assurance Manager, Dual Programmes.

📍 Manchester Office 💷 £65,000 to £80,000 DOE + Benefits 💼 Full Time, Permanent

Wolf AI Labs operates assurance and certification programmes across both sides of the motor finance redress process.

We work with high street lender remediation functions and submitting claim firms, applying the same evidential standard to both.

We are seeking an experienced Client Assurance Manager to manage complex client relationships while protecting the consistency and independence of our certification process.

The Role.

You will manage programme delivery across lender remediation functions and submitting claim firms. You may attend a lender assurance committee and a submitting firm certification review in the same week, potentially concerning the same portfolio.

Your responsibility is the consistent application of the standard, regardless of which party we are supporting.

What You Will Do.
  • Manage lender and submitting firm assurance programmes
  • Own throughput reporting and rejection analysis
  • Lead threshold and certification reviews
  • Attend client assurance and governance meetings
  • Analyse certification and remediation trends
  • Manage challenges to certification findings
  • Maintain consistent evidential thresholds across clients
  • Act as the interface between certification teams and client remediation functions
What We Are Looking For.

You will have senior experience within claims, financial services, remediation, assurance, compliance or legal services.

You should have:

  • Strong client and programme management experience
  • Experience dealing with senior stakeholders
  • Excellent written and verbal communication
  • Strong analytical and reporting capabilities
  • Experience with high volume claims or remediation programmes
  • Confidence making decisions with significant commercial consequences
The Person.

You must be capable of working with clients whose commercial interests may be directly opposed while maintaining the same evidential standard for both. Equivalent evidence must produce an equivalent determination.

Work in an environment where client pressure does not determine the outcome.

What We Offer.
  • 💷 £65,000 to £80,000 DOE + Benefits
  • 📍 Manchester Office
  • 📄 Full Time, Permanent
  • 🤖 Technology enabled working environment
  • 📊 Exposure to significant motor finance programmes
  • 📈 Senior role within a growing assurance and certification function

There is no commission, outcome related bonus or requirement to generate sales.

How To Apply.

Send your CV and a short covering statement outlining your experience in claims, assurance, remediation, programme management or financial services.

Apply by Email ➤
Wolf AI Labs · Human Enabled, AI Driven.
Certification Analyst, Motor Finance Redress, Remote UK Wide
🚀 We Are Hiring

Certification Analyst, Motor Finance Redress.

🏠 Remote, UK Wide 💷 £42,000 to £52,000 DOE + Benefits 💼 Full Time, Permanent 👥 Multiple Positions

Wolf AI Labs is expanding its specialist motor finance certification and assurance operation.

We operate the Omnibus Engine, technology infrastructure designed to support high volume assessment, certification and evidential analysis within the UK motor finance redress process.

Our certification framework includes the Claims Passport, an evidential record used to establish whether a consumer file was properly obtained, properly instructed and supported by the evidence required for certification.

We are seeking experienced Certification Analysts to join our expanding assessment function.

The Role.

You will assess consumer motor finance files against the Origination Assurance Standard and determine whether the available evidence supports certification and the issue of a Claims Passport.

You will work with live submission batches through the Omnibus Engine in a structured, technology enabled assessment environment.

Your responsibility is evidence.

What You Will Do.
  • Review motor finance files against certification requirements
  • Examine origination records and consumer capture evidence
  • Review instruction trails and retainer documentation
  • Determine whether Claims Passports can be issued
  • Identify certifiable, curable and non certifiable files
  • Analyse audit trails and supporting records
  • Record clear reasons for certification decisions
  • Identify and escalate systemic patterns
What We Are Looking For.

You will have two years or more of experience within bulk consumer claims, ideally motor finance, PCP, PPI or another high volume claims environment.

You should understand the difference between possessing a document and possessing evidence.

You will need strong analytical skills, attention to detail and the ability to make consistent decisions against defined evidential thresholds.

The Person.

You should be methodical, independent and evidence led.

You must be equally comfortable certifying a file that satisfies the standard and rejecting one that does not. Commercial consequences do not change the evidential threshold.

What We Offer.
  • 💷 £42,000 to £52,000 DOE + Benefits
  • 🏠 Remote, UK Wide
  • 📄 Full Time, Permanent
  • 📈 Salary review after six months
  • 🤖 Technology enabled working environment

No client call handling, sales targets, chase targets, volume bonuses or approval rate targets. Your performance is based on the accuracy, consistency and defensibility of your assessments.

How To Apply.

Send your CV and a short covering statement outlining your experience in bulk consumer claims, motor finance or evidence based file assessment.

Apply by Email ➤
Wolf AI Labs · Human Enabled, AI Driven.
Certification Consultant, Submitting Firms, Remote UK Wide
🚀 We Are Hiring

Certification Consultant, Submitting Firms.

🏠 Remote, UK Wide 💷 £55,000 to £70,000 DOE + Benefits 💼 Full Time, Permanent

Wolf AI Labs works with claims management companies and claimant law firms preparing motor finance submission books for certification.

We are seeking experienced claims professionals capable of assessing large portfolios, identifying what is genuinely capable of certification and communicating those findings directly to clients.

The Role.

You will assess motor finance submission books and establish which files are certifiable, which can legitimately be remediated and which cannot satisfy the required evidential standard.

A key part of the role is establishing “the fraction”, the evidenced and reasoned proportion of a client's submission book that is genuinely certifiable.

Your responsibility is not to produce the number the client wants. It is to establish the number the evidence supports.

What You Will Do.
  • Scope and sample large motor finance portfolios
  • Assess certifiability and evidential quality
  • Identify recurring evidential weaknesses
  • Segment certifiable, curable and non certifiable files
  • Design remediation strategies for curable files
  • Prioritise remediation against scheme deadlines
  • Produce clear, evidenced portfolio findings
  • Present conclusions directly to clients
What We Are Looking For.

You will need significant experience within bulk consumer claims, ideally motor finance or another high volume claims environment.

You should understand claims evidence, consumer instruction and supporting documentation.

You must also have the confidence to deliver commercially difficult findings directly to senior client stakeholders.

The Person.

This role requires judgement, resilience and professional independence.

If the evidence demonstrates that a significant proportion of a client's book cannot be certified, you must be capable of explaining that conclusion clearly and directly.

This Is Not A Sales Role.

No commission. No sales targets. No business development responsibility. No requirement to negotiate fees or win work.

Your professional judgement is based on the evidence, not the number of files that pass certification.

What We Offer.
  • 💷 £55,000 to £70,000 DOE + Benefits
  • 🏠 Remote, UK Wide
  • 📄 Full Time, Permanent
  • 🤖 Technology enabled working environment
  • 📊 Exposure to significant motor finance portfolios
How To Apply.

Send your CV and a short covering statement outlining your experience in bulk consumer claims, portfolio assessment, certification or claims remediation.

Apply by Email ➤
Wolf AI Labs · Human Enabled, AI Driven.
Origination Forensics Manager, Glasgow, Hybrid
🚀 We Are Hiring

Origination Forensics Manager.

📍 Glasgow, Scotland 🏢 Hybrid, One Day Per Week in Office 💷 £70,000 to £85,000 DOE + Benefits 💼 Full Time, Permanent

Wolf AI Labs is expanding the specialist forensic capability supporting our motor finance assurance and certification programmes.

We are seeking an experienced Origination Forensics Manager to build and lead the function responsible for examining how consumer records were generated, captured, transferred and instructed before they became claims.

The Role.

The function addresses a fundamental evidential question:

Did the consumer genuinely exist as an instructed client at the point the record states the instruction occurred?

You will reconstruct consumer acquisition and origination journeys using the underlying digital, technical and operational evidence.

This requires an understanding of how lead generation, digital marketing, consent capture, introducer networks and claims onboarding actually operate.

What You Will Do.
  • Lead investigations into consumer record provenance
  • Examine SMS, email and digital campaign trails
  • Reconstruct introducer and sub introducer chains
  • Assess consent capture methodology
  • Analyse device, IP and timestamp evidence
  • Reconstruct historical consumer sign up journeys
  • Identify systemic patterns across portfolios
  • Develop forensic assessment methodologies
  • Build and lead a specialist forensics team
What We Are Looking For.

Direct operational experience within claims origination, marketing, lead generation, consumer acquisition or validation is essential.

You must understand how consumer records are actually created.

Strong investigative and analytical skills are required, together with experience working with high volume consumer records and digital journeys.

Experience with PECR, ICO enforcement, regulatory evidence, CRM systems, metadata or digital attribution would be advantageous.

The Person.

You must be capable of reconstructing what actually happened from fragmented digital and operational evidence.

Your findings may influence certification decisions across substantial portfolios, so you must be confident defending your conclusions under scrutiny.

What We Offer.
  • 💷 £70,000 to £85,000 DOE + Benefits
  • 🏢 Glasgow, Hybrid
  • 📄 Full Time, Permanent
  • 🔍 Complex digital and forensic investigations
  • 👥 Opportunity to build and lead a specialist team

No sales targets, commission or requirement to win business.

How To Apply.

Send your CV and a covering statement outlining your experience in claims origination, consumer acquisition, marketing, validation or forensic review.

Apply by Email ➤
Wolf AI Labs · Human Enabled, AI Driven.

Data Forensics

Coverage Map · 12 Blocks · 85 Coverage Points

OCC / Wolf
Human Enabled AI Driven
Data ForensicsCoverage Map

Wolf Forensics operates an external investigation arm assisting clients within the following sector scopes covering twelve blocks across funding instruments, capital, corporate investigation, hardware and software data recovery, forensic cloud infrastructure & AI footprint timeline shell rebuilding, insolvency investigations, detailed claim book valuations & certification, summary claim settlement probability predictions, investment claims and platform integrity. Each one built on a regulatory control set and resolving into a certification state.

B2B and B2B2B only 12 blocks 85 coverage points
Scope statement

Wolf supplies data, scoring and certification. Wolf does not provide legal advice, does not act as an expert witness, and does not conduct regulated activity. The regulated firm operates, advises and carries its passengers. Wolf lays the track.

Coverage At A Glance.
All 85 coverage points across the twelve blocks. Hover a segment for detail, click to open that block.
AA · Position and scope · 4 pointsBB · Instrument forensics · 8 pointsCC · Funder and capital forensics · 6 pointsDD · Corporate investigation · 6 pointsEE · Insolvency prediction · 4 pointsFF · Investment and financial claims · 5 pointsGG · Platform and systems forensics · 7 pointsHH · Regulatory control set · 24 pointsII · Built in by design · 7 pointsJJ · Claim Passport certification · 9 pointsKK · Output standard and tiers · 4 pointsL · Who buys it · 1 point 85 COVERAGE POINTS
A Position and scopeB Instrument forensicsC Funder and capital forensicsD Corporate investigationE Insolvency predictionF Investment and financial claimsG Platform and systems forensicsH Regulatory control setI Built in by designJ Claim Passport certificationK Output standard and tiersL Who buys it
A
Position and scope

The framing every control below follows from.

  1. 01Wolf is infrastructure. Wolf lays the track, the regulated operator runs the train and carries the passengers.
  2. 02Regulated activity sits with the authorised firm in every configuration. The platform is operated by the regulated entity, never by Wolf and never by a funder.
  3. 03No consumer relationship is held at group level. B2B and B2B2B only, with no direct to consumer sale anywhere in the group.
  4. 04Controller obligations follow the operator. Where a client brings a book onto a Wolf platform, the client is controller and carries what attaches to it.
B
Instrument forensics

The paper that governs the money. CFA, DBA, LFA and ATE, audited across a whole book rather than file by file.

  1. 05CFA audit. Validity, success fee basis, indemnity principle, notification and retainer defects at book level.
  2. 06DBA audit. Compliance with the DBA Regulations, payment definition, hybrid structures, termination, and the sequencing of deductions.
  3. 07LFA audit. Enforceability against the live position, percentage against multiple basis, and the consequence on a portfolio if the instrument fails.
  4. 08ATE policy forensics. Attachment points, aggregate against per case limits, avoidance and disclosure conditions, exhaustion modelled against the real book profile.
  5. 09Priority waterfall reconstruction. Who is paid in what order across funder, insurer, solicitor, broker, introducer and claimant, tested at settlement, at loss, and at the insolvency of any one party.
  6. 10Assignment and novation trail. Whether the benefit of the retainer, the funding and the policy actually moved when the book moved.
  7. 11Deduction forensics. What was taken, what was disclosed, and whether the client was told at the point of engagement.
  8. 12Commission and referral chain. Undisclosed commissions across ATE, broker, introducer and packager layers, priced as an exposure.
C
Funder and capital forensics

Whether the capital behind a book can carry the book.

  1. 13Capacity assessment. Committed against deployed capital, measured against the book actually being funded.
  2. 14Concentration analysis. Single funder, single insurer, single introducer or single case type dependency across a portfolio.
  3. 15Cross collateralisation mapping. Where the failure of one book pulls capital out of another.
  4. 16Counterparty position. Corporate status, filing behaviour, charge activity and offshore structuring of the funding entity.
  5. 17Adverse costs adequacy. Capital tested against the adverse costs exposure the book carries.
  6. 18Distress signalling. Early indicators issued through the ClaimWatch signal framework and the Distress Register.
D
Corporate investigation

Entities, control, movement and assets.

  1. 19Connected party mapping. Directors, shareholders, previous names, charges, group structure and common control.
  2. 20Phoenix pattern detection. Movement of book, staff, address and trade from predecessor to successor entity.
  3. 21Asset tracing across group and connected parties.
  4. 22Transaction review for the office holder. Transfers at undervalue, preferences and related party flows.
  5. 23Director conduct evidence pack, assembled to the standard an office holder or a claimant needs.
  6. 24Trading address resolution. Registered office against actual trading postcode, drawn from a consented base of 429,928 named UK businesses at full postcode.
E
Insolvency prediction

Model IPS/2026.02. Saturating scale with the national neutral fixed at 50.

  1. 25Probability scoring by area and sector across the UK, published with its version, weights, sources and review date.
  2. 26Counterparty prediction on a named book. Which defendants, introducers, funders or paying parties are most likely to fail before settlement.
  3. 27Estate asset discovery. Claims the estate owns that the office holder has not identified.
  4. 28Recovery prospect scoring. Probability of failure weighted against expected payout, so a book is valued on what will actually be collected.
Signal Timeline.
Distress signals accumulate over the account history, and the model projects the forward risk curve. Illustrative model output, not client data.
TODAY 24 MONTHS OF FILED HISTORY 12 MONTH PROJECTION
F
Investment and financial claims

Where the money went, who is left standing, and what the class is worth.

  1. 29Investor loss reconstruction across promoter, adviser and product chains.
  2. 30Scheme structure analysis. Where the money moved, which entity holds it, and which entity is still solvent.
  3. 31Suitability and disclosure evidence at book level rather than one file at a time.
  4. 32Cohort dating. Which claims sit inside which regulatory regime, limitation window and compensation route.
  5. 33Quantum modelling. Exposure range across a whole claimant class with stated confidence bands.
G
Platform and systems forensics

Whether the record can survive being challenged.

  1. 34Data lineage audit. Whether a firm can prove where each record came from and who authored it.
  2. 35Origination and consent forensics. Whether valid consent is demonstrable per file, scored against CPCS/2026.11.
  3. 36Evidence Completeness Score. Model ECS/2026.01. Three states per point, gating points that fix the determination regardless of total, four bands from fully evidenced to unevidenced.Portfolio outputs: score distribution, gate failure rate, cure cost curve, supplier attribution by batch and introducer, cohort dating against the applicable regime.
  4. 37Duplication forensics. Whether a claim has already been advanced elsewhere, regardless of who advanced it, who originated it or which entity holds it now, with a confidence score and supporting evidence attached.Outcome disclosed. Method proprietary and withheld.
  5. 38Supplier dependency audit. Where the origination evidence and the system of record holding it both trace back to a single party.
  6. 39Migration integrity. What was lost, altered or silently dropped when a book moved between systems.
  7. 40Acquisition due diligence. The full stack above, run before an acquirer or funder commits.
H
Regulatory control set

Five regulators, one control set, built into the platform rather than bolted onto it.

FCA
  1. 41Consumer Duty evidence at file level rather than policy level. Outcome, understanding and value tested per claim, not asserted in a manual.
  2. 42Claims conduct rules mapped into the flow: disclosure before contract, fee illustration, cancellation rights, and substantiation before a claim is advanced.
  3. 43Duplication control applied before a second claim is progressed.
  4. 44Vulnerability flags carried on the client account, available to both staff and automation.
  5. 45A Consumer Duty Assessment exists and is shareable with clients under MNDA.
SRA
  1. 46Retainer and client care evidence produced as a dated artefact per file.
  2. 47Deduction transparency shown against the individual file, not the book average.
  3. 48Referral and commission disclosure captured at origination rather than reconstructed later.
  4. 49Independence of certification. The certifying layer sits outside the case management system, so record and author are never the same party.
  5. 50An SRA Compliance Assessment exists and is shareable with clients under MNDA.
ICO
  1. 51Consent demonstrable per file, because the burden sits on the controller and process evidence is not a defence.
  2. 52The distinction enforced in the design: a keystroke audit records the enquiry, which happens after transmission, so it evidences the response and not the consent.
  3. 53Minimisation built at ingestion, not filtered at output. On the insolvency platform no contact column is ingested at all, so phone, email, fax, website and address cannot leak, export or reach a document.
  4. 54Small cell suppression at a threshold of five, matching the Insolvency Service convention, so a count can never identify a business.
  5. 55No route returns a name without a grant, enforced in the query rather than the front end, and that holds for an administrator and for internal use.
  6. 56Access fails closed, logging fails open. Codes stored as hashes, timing safe comparison, signed session cookies, a server side session ceiling, no accounts and no personal data. Usage logs hold the resolved area and sector only.
CMA and consumer protection
  1. 57Unfair practice exposure controlled where it arises, at origination and at pricing presentation, rather than at the complaint.
  2. 58Contract terms tested for fairness at book level, so one defective clause is found across the whole cohort.
  3. 59Cancellation and cooling off evidence held per file.
  4. 60Concentration and single supplier dependency surfaced as a structural finding, which is the analysis a conduct review runs anyway.
ASA and CAP
  1. 61No claim in marketing copy the platform cannot substantiate from held data.
  2. 62Outcome and payout figures presented as ranges with a stated basis, never as an implied guarantee.
  3. 63Automated narrative validated against the retrieved figures with no fuzzy tolerance, falling back to deterministic text built from the same rows. A figure that was not supplied cannot appear in an output.
  4. 64Every assertion classified VERIFIED, REPORTED or OCC ASSESSMENT before it is published.
I
Built in by design

Structural properties of every Wolf platform, not features of one.

  1. 65Compliance parameters established in November 2025 through engagement with the FCA and the SRA, with the two assessments produced from that engagement as the anchor.
  2. 66The same architecture at one account or ten million accounts, so the control set does not degrade with scale.
  3. 67Certification separated from the case management layer, so it survives a challenge to the system of record.
  4. 68Every artefact generated server side with a stable reference, so a document is identical in the recipient's hands once it leaves Wolf's control.
  5. 69Every model published with its version, weights version, sources and review date, and a staleness verdict that is never inferred.
  6. 70Where a licence on a source is unresolved, that source does not reach client facing use.
  7. 71Where two parties must meet, both register and both agree separately. Wolf does not identify, select, introduce or target anyone.
J
Claim Passport certification

The regulatory way forward, and the point every forensic finding resolves into.

CLAIM PASSPORT

Registered UK trade mark UK00004346035 | Classes 9 and 42

The Claim Passport is the client's account and their portable passport, holding all the facilities within that account. Think of a bank account and its facilities, but for claims and with more flexibility.

A compliance sign off is an opinion at a point in time. Certification is a scored, dated, reproducible artefact held per file.
  1. 72The Claim Passport Certificate Standard, CPCS/2026.11, is the published standard behind independent certification.
  2. 73The Evidence Completeness Score, ECS/2026.01, is the scoring model underneath it, with gating points that fix the determination regardless of the total.
  3. 74Portfolio outputs for funders, insurers and acquirers: score distribution, gate failure rate, cure cost curve, supplier attribution and cohort dating.
  4. 75A keystroke audit records the enquiry, which happens after the transmission. It evidences the response, not the consent.
  5. 76Marketing sign off approves the material, not the list the material was sent to.
  6. 77The precedent settles it. A firm with processes in place still lost the soft opt in argument, at one hundred and twenty thousand pounds and an enforcement notice across 4,046,947 texts.
  7. 78One artefact per file answers consent, disclosure, substantiation and fairness at once, which is why certification is the bridge across all five regulators above.
  8. 79Every forensic finding in blocks B to G resolves into a certification state, so investigation and remediation are one workflow rather than two.
  9. 80Certification is carried by the account, so it moves with the book. A certified file remains certified through assignment, funding and acquisition.
The Fraction.
Every book resolves into three certification states. Example book certification summary, illustrative only.
33%37%30%
Certifiable Curable Not Certifiable
K
Output standard and tiers
  1. 81Every finding classified VERIFIED, REPORTED or OCC ASSESSMENT. Numbered, dated, sourced.
  2. 82No unqualified assertion of insolvency, fraud or default. Uncertainty stated rather than smoothed.
  3. 83Every register position verified against the live source before it is stated. A cached position is flagged as cached.
  4. 84Delivered as a referenced certified artefact, generated server side, stable reference, identical in the recipient's hands.
Tier 1 | Signal

A dated alert on one entity, issued as the position changes.

Tier 2 | Entity file

A full intelligence file on a single counterparty, funder or firm.

Tier 3 | Book report

One book scored end to end across the applicable blocks.

Tier 4 | Portfolio audit

The full stack across a portfolio, with certification states attached.

Coverage Points By Block.
Where the depth sits. The regulatory control set carries the largest share of the standard.
A4Position and scope · 4 pointsB8Instrument forensics · 8 pointsC6Funder and capital forensics · 6 pointsD6Corporate investigation · 6 pointsE4Insolvency prediction · 4 pointsF5Investment and financial claims · 5 pointsG7Platform and systems forensics · 7 pointsH24Regulatory control set · 24 pointsI7Built in by design · 7 pointsJ9Claim Passport certification · 9 pointsK4Output standard and tiers · 4 pointsL1Who buys it · 1 points
L
Who buys it
  1. 85Insolvency practitioners, litigation funders, ATE and capacity insurers, portfolio acquirers, solicitor firms, corporate claimants and their advisers.B2B and B2B2B only. No direct to consumer engagement at any tier.
Who We Subcontract With.
Regulators Government Departments Solicitor Firms Local Authorities Charities Private Clients Corporate Enterprises National Press
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