Recordsure vs Rulebase (2026)
The decision is which conversation you are accountable for, the advice or the service, and when you need to know it went wrong. Recordsure reviews judgment after the fact. Face to face and remote advice conversations are captured through its own recording app, and suitability and ongoing service checks run across adviser files at tier one banks, wealth managers and government bodies in the United Kingdom and Australia. Coverage at one major retail bank moved from under 5 percent of sales to all of them, and 4 billion pounds of service fees were checked for whether the service was actually delivered. Rulebase reviews procedure while it still matters. Every service call, chat and email is scored in real time against the firm's own scorecards, managers are alerted mid conversation, and findings go into the ticketing and messaging tools teams already run. The compliance head of a named business banking customer is quoted. What unites them is a step vendors rarely take: each vendor's clearest disclosure is a prohibition it binds itself to. Recordsure publishes that no suitability or customer outcome decision can be made by its AI, directly or through user acceptance; Rulebase publishes that customer data never trains its models. One forecloses automated judgment, the other forecloses data leakage, and each chose to constrain the thing its own market is most afraid of. Architecture follows the choice: thirteen years of deliberately predictive models against a generative era platform promising any missing integration built within seven days.
- Your exposure is advice suitability. Case review works through suitability and ongoing service checks at file scale, and the machine is prevented from concluding on any customer outcome. The output is stated as examined by the regulator and in litigation, adversarial testing service review products rarely claim.
- The conversations are face to face. The capture app records in person and remote meetings and uploads automatically, with predictive models built since 2012 for exactly this material and its acoustic conditions, where Rulebase's channels are the contact center's.
- You want it proven on your own files first. A scoped evaluation route has offered analysis of up to 100 ongoing advice review files through a firm's own practice management system, with an off the shelf integration named for Iress and Intelliflo, platforms the advice market actually runs on.
- The harm you fear is live. Managers are alerted the moment a conversation goes off track, so intervention happens before the customer hangs up rather than in a file review weeks later, and findings land in the tools teams already work in.
- Your operation is a contact estate, not an advice practice. Fintechs, banks and outsourced operations running up to a hundred thousand agents are the stated market, with skipped authentication and complaint categorization engaged as named risks rather than compliance in the abstract.
- Data posture decides your review quickly. Customer data never trains the models, storage is stated as European under Irish operations, and SOC 2 Type II and PCI DSS are named on a dedicated security page, a more specific data answer than Recordsure publishes.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Recordsure and Rulebase are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Recordsure | Rulebase | |
|---|---|---|
| Primary category | Compliance, Surveillance & RegTech | Compliance, Surveillance & RegTech |
| Founded | 2012 | 2024 |
| Headquarters | London, United Kingdom | New York, New York, United States |
| Website | recordsure.com | rulebase.co |
Side by Side
Select any grade to read the note behind it.
| Axis | R Recordsure |
R Rulebase |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Rulebase
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Product / capability
Rulebase added routines, automations that follow instructions written like a runbook and run on a schedule, an event, or on demand.
Source
The short version of each
Recordsure
Recordsure reviews advice after the fact. Face to face and remote conversations are captured through its own recording app, with suitability and ongoing service checks across adviser files at tier one banks, wealth managers and government bodies in the United Kingdom and Australia. Coverage at one major retail bank moved from under 5 percent of sales to all of them, and 4 billion pounds of service fees were checked for delivery. According to the AI FinTech Index, it states that no suitability or customer outcome decision can be made by its AI, directly or through user acceptance. That rests on thirteen years of deliberately predictive models. No false negative rate stands behind the full coverage claim, and no per accent accuracy is published.
Source: AI FinTech Index, 2026
Rulebase
Rulebase reviews service while it still matters. Every call, chat and email is scored in real time against the firm's own scorecards, managers are alerted mid conversation, and findings go into the ticketing and messaging tools teams already run. The compliance head of a named business banking customer is quoted. According to the AI FinTech Index, it states that customer data never trains its models, backed by stated European storage and named attestations. Full coverage is a coverage statistic rather than a detection one, and no false negative rate is published. The scored employee has no described contest route, and there is no per accent analysis.
Source: AI FinTech Index, 2026
Common questions
Is Recordsure better than Rulebase for conversation compliance?
They review different conversations at different moments. Recordsure reviews judgment after the fact, advice conversations and suitability checks across adviser files at tier one banks and government bodies in the United Kingdom and Australia. Rulebase reviews procedure while it still matters, every service call, chat and email scored in real time with managers alerted mid conversation. Advice assurance buys Recordsure; service quality and complaint prevention buys Rulebase. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
What unites the two vendors?
Each vendor's clearest disclosure is a prohibition it binds itself to, a step vendors rarely take. Recordsure publishes that no suitability or customer outcome decision can be made by its AI, directly or through user acceptance, foreclosing automated judgment including the rubber stamp loophole. Rulebase publishes that customer data never trains its models, foreclosing data leakage. Each constrained the thing its own market most fears. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
What outcomes does each evidence?
At Recordsure, coverage at one major retail bank moved from under 5 percent of sales to all of them, and 4 billion pounds of service fees were checked for whether the service was actually delivered, on thirteen years of deliberately predictive rather than generative models. Rulebase's evidence is a named business banking customer whose compliance head is quoted by name, plus findings routed into the ticketing and messaging tools teams already run. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
What does full coverage not tell you?
Full coverage is a coverage statistic rather than an accuracy one. Neither publishes the rate at which a conversation that should have been flagged was not, so a firm replacing sampling trades a known small sample for an unknown detection rate. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Who bears the unmeasured errors?
Both score an employee's speech, neither publishes per accent accuracy, and neither describes a route for the scored person to contest a finding. Recordsure's prohibition softens the consequence, since a misclassified conversation routes to a reviewer rather than concluding on its own; Rulebase's real time alerts reach a manager while the conversation is live. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Where does each publish the most, and the least?
Recordsure publishes most on what its AI may not decide, and says little about missed flags or accuracy by accent. Rulebase publishes most on its data terms, with no training on customer data, European storage and named attestations, and also says little about missed flags or accuracy by accent. Neither describes how a scored employee contests a finding. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Customer & Banking Agents page.
Both products sell full coverage, and full coverage is a coverage statistic rather than an accuracy one. Neither publishes the rate at which a conversation that should have been flagged was not, so a firm replacing sampling trades a known small sample for an unknown detection rate.
Both score an employee's speech, neither publishes per accent accuracy, and neither describes a route for the scored person to contest a finding, though Recordsure's prohibition means a misclassified conversation routes to a reviewer rather than concluding on its own.