Compliance, Surveillance & RegTech
R

Recordsure

Recordsure sells AI that checks conduct in financial advice and customer conversations. Banks, wealth managers, insurers, and motor finance and collections firms in the UK and Australia use it for compliance review and remediation.

Recordsure Capture records face to face and remote conversations with a tamper proof upload. ConversationReviewAI transcribes, summarizes and scores them, and ReviewAI reviews adviser files for suitability and quality. Subject matter experts stay in the loop, and the service is built and run with its compliance partner TCC.

Recordsure partners with Iress and Intelliflo and holds ISO 27001. It publishes a responsible AI policy covering human review, bias management, drift reviews and client data separation. Record Sure Limited is based in London.

Last VerifiedOctober 2, 2026
Compare Recordsure with other vendors
Founded
2012
Headquarters
London, United Kingdom
Website
recordsure.com
Categories
compliance-and-surveillance, wealth-and-advisory, customer-banking-agents
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 11 graded A or B

AI Capability
AI Centrality
AA on AI CentralityThe artificial intelligence is the product. Remove the models and there is nothing left to sell.
Vendor Published

Without models this would be a recording app and an archive, and supervision rules require review, not retention. Checklist classification, transcription and triage of advice journeys are all model work.

Autonomy and Oversight Model
AA on Autonomy and Oversight ModelWhat the system runs alone, what constrains it, and how a person checks it are all published: modes, thresholds, sampling or audit controls, and the route a case takes to human review.
Vendor Published

Human supervision stands between every AI finding and a review outcome: reviewers verify and correct classifications, and clients are asked to sample cases triaged out as well as in. The one published exception lets the AI conclude a share of cases in prescribed remediation projects.

Model Risk Management and Transparency
AA on Model Risk Management and TransparencyExplainability and validation are built into the product and mapped to the supervisory instrument they serve: per alert attribution, backtesting or test before deploy, with a stated alignment to a framework like SR 11-7, OCC 2011-12 or NYDFS Part 504.
Vendor Published

Deterministic models give the same findings for the same inputs, every model is tested against expected and unexpected input variation, and drift reviews are contractual over the license term. Where AI concludes remediation cases unreviewed, its training method and human verified test results go to the regulator's appointed Skilled Person, though the results themselves stay unpublished.

Operational and Outcome Evidence
BB on Operational and Outcome EvidenceVendor aggregate claims with real figures, or audited scale disclosures from a publicly listed company.
Vendor Published

A major UK retail bank moved quality assurance on about 5,000 mortgage advice conversations a month from under 5 percent of sales to full coverage, and the homepage claims 50 percent cost savings and over 90 percent right first time suitability. Every case study is titled by type, a tier one bank or a government department, and none names the client.

AI Safety and Data Stewardship
BB on AI Safety and Data StewardshipA categorical stewardship commitment is published without the retention schedule or the engineering detail behind it.
Vendor Published

Composite models are built only from derived data, processed into an irreversible form from which no client or customer information can be recreated. Derived data from many clients still trains those shared models, which is the step short of a full boundary.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

Each client's raw audio and documents are kept electronically separate under its own contract, with GDPR compliance stated for practices and technology alike. That audio holds clients discussing finances, health and family, yet no retention schedule, subprocessor list or deletion commitment is published.

Security Certifications and Trust Center
BB on Security Certifications and Trust CenterA recognized certification named in the vendor’s own material without the artifact, or with a scope or renewal question the buyer has to raise.
Vendor Published

ISO 27001 certification covers all AI system management and data handling, third party and open source software used in AI processing is vetted, and uploads use a patented, tamper proof fragmentation and encryption system. Certificate scope, a second framework and a trust center are unpublished.

Regulatory Status and Licensure
BB on Regulatory Status and LicensureThe regulatory position is clearly stated and appropriate to the product, with part of the verification left to the buyer.
Vendor Published

The stated position is that the technology meets regulators' requirements in the UK and Australia and has been proven with the regulator and in UK courts. Those claims carry no detail a buyer could verify, and the conduct rules the reviews test against are not named.

AI Governance and Bias Disclosure
BB on AI Governance and Bias DisclosureAn independent demographic evaluation the vendor has submitted to, such as the NIST face evaluation class, or a governance framework with named process behind it.
Vendor Published

Bias is handled in named steps: candidate models are evaluated, scarce or imbalanced data is corrected by adding data or reweighting, and an uncorrectable class is removed on the principle that no result beats a biased one. Transcription accuracy across accents, dialects and speech impairments, which shapes how advisers are scored, is not measured in public.

AI Liability and Recourse
CC on AI Liability and RecourseMechanisms that enable challenge, such as audit trails and source traceability, with nothing standing behind the output and no route for the person affected.
Vendor Published

An audit trail described as irrefutable gives a reviewer something firm to challenge with. Generated meeting notes are the client's to verify, and the firm publishes no guarantee, indemnity or route for a scored adviser to contest a classification.

Integration and Deployment
Model Supply Chain Disclosure
CC on Model Supply Chain DisclosureThe architecture is described and no provider is named.
Vendor Published

Predictive models are built in house and run deterministically, but the generative layer that writes meeting summaries runs on an unnamed provider and speech service. Hosting arrangements for that layer are not stated either.

Core Systems and Integration Depth
BB on Core Systems and Integration DepthNamed systems or a documented public API, with the depth or the production evidence left open.
Vendor Published

Iress and Intelliflo, two platforms UK advice firms run on, are announced partners, and the Capture app runs on Windows and mobile with enterprise SSO. Developer documentation and any core banking, CRM or case management connection are not published.

Deployment Model and Data Residency
CC on Deployment Model and Data ResidencyCloud only with nothing stated, which is the category norm.
Vendor Published

Recordings of client advice meetings sit in an unnamed hosting environment, with no region, residency commitment or private option stated. GDPR and ISO 27001 imply European handling, but an implication is not a residency statement.

Commercial
Commercial Transparency
CC on Commercial TransparencyNo price is published and engagement runs through a demo form, which is the norm in this index.
Vendor Published

Capture, ConversationReviewAI and ReviewAI are separable, with review available as software or as a managed service with TCC, yet nothing is priced. Charge could fall per file, per conversation or per adviser, and the site never says which.

Institution and Segment Coverage
BB on Institution and Segment CoverageNamed segments with dedicated material behind part of the coverage.
Vendor Published

Wealth management, motor finance and collections sit among named sectors, with case studies across UK banks, an insurer and an Australian remediation review. Within financial services the work spans mortgage advice, suitability and remediation.

Head to Head

Compared With

Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.

Alternatives to Recordsure

Vendors in the same categories as Recordsure whose profiles look most alike, each with a line on what the product does. Similar is not the same: check that each one does the job you need. No vendor pays for placement.

EVE AI Core is a deterministic control plane that intercepts every AI action before execution rather than reviewing it afterwards, returning an allow, block or modify verdict against…

Aveni builds AI for UK banks, advice networks and wealth managers.

Luthor reviews regulated marketing before it goes live and describes itself as an artificial intelligence native compliance firm rather than a pure software vendor.

Shiboleth automates consumer lending compliance for banks, fintechs and non-bank lenders, and serves as a monitoring layer for banks overseeing their fintech partnerships.

AscentAI, formerly Ascent Technologies and Ascent RegTech, converts regulatory rulebooks into machine readable obligations mapped to a specific firm's business profile.

FluxForce sells AI agents to banks, fintechs, insurers and trade finance firms for fraud detection, identity verification, regulatory compliance, zero trust security and payment security…

The index publishes no overall score or ranking. See what we assess and the methodology.

Commercial

Pricing

Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.

No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.

Contact us

Found a vendor we missed? Have feedback on the index? We’d love to hear from you.

AI FinTech Index

The AI FinTech Index is an independent index that tracks changes to AI vendors in financial services. It holds 610 vendors across banking, lending, insurance, wealth, capital markets and financial crime compliance, each graded on the same 15 capability axes from public sources. No vendor pays for inclusion, placement, or rating.

Index Status
Last index update
October 20, 2026
The AI FinTech Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
© 2026 AI FinTech Index
3801 N Capital of Texas Hwy, Ste E240 · Austin, TX 78746