Compliance Intelligence vs Corlytics: how they compare in 2026

A real AI layer performs the product's distinguishing work, on a content and workflow platform that predates it. The models' tasks are named. AI powered monitoring scans regulatory bodies for updates, a proprietary AI tool curates the change summaries and tags each event to produce an impact assessment, and obligation clustering identifies commonality across legal requirements and generates a suggested rationalized obligation. That clustering is the capability the product is sold on, and it is machine produced. What sits underneath is not AI: a library of laws, rules and regulations across the state and federal perimeter, continuously updated and tagged against a financial services taxonomy, plus the workflow engine. That is substantially what the OneSumX regulatory change management line already was. The vendor places AI as one of three ingredients, stating that unlike solutions relying solely on automation it brings together structured regulatory data, human oversight, and AI powered workflows. The compliance risk management module using predictive analytics over proprietary enforcement data is marked coming soon, so it is intent rather than a shipped capability.

Machine learning does three jobs on every incoming document: it decides what the document is about, condenses it, and connects it to related material. Regulatory notices, rules and enforcement actions are classified against Corlytics' universal regulatory taxonomy, long texts are summarized, and similar items are matched across datasets to flag duplication and feed gap analysis. Obligations Management goes further. Semantic parsing strips introductory and suggestive text from a rule to leave a set of action items. Specialized models map those obligations to a firm's policies, controls and products and consolidate the overlaps, and large language models propose wording that would close a gap in a policy or control. Policy Management drafts new policy content with AI, and Regulatory Risk Analytics runs Corlytics' own risk models over enforcement data. The machine learning framework that tags handbook provisions in real time was first built with the FCA in 2016 and 2017. Without the models, the version tracking, change packages, approval workflows, controls mapping and monitoring plans would still run as a regulatory workflow system.

Grounding is real, architectural and documented, and no accuracy figure exists anywhere. Changes are delivered as summaries with redlined changes against the source text, so a reviewer can see what actually moved rather than trusting a paraphrase. Obligations generated by clustering are dynamically linked to source regulations, and clustering output carries a full audit trail. The underlying library is described as comprehensive across the state and federal regulatory perimeter and continuously updated. Human subject matter experts are named as part of the applicability process. What is absent is measurement: no accuracy figure, no test set, no evaluation, no error rate and no hallucination disclosure under any name. The vendor's own material also contradicts itself. Marketing asserts unparalleled accuracy and reliability and, in a launch post, guaranteeing accuracy. The product FAQ describes the same functions far more carefully, as AI supported analysis that helps analyze obligations and surface potentially relevant requirements, assisting teams with research and early impact assessment. No measured figure stands behind the stronger claim.

Every alert, summary and obligation stays linked to the regulatory text it came from. The Regulation Library keeps laws, rules, handbooks and guidance in their original PDF, XML or HTML form, so second and third line teams read the documents they already know. It breaks each one down to obligation level. A version manager shows the current text of a rule beside the previous version, with changes lined in red and green, and keeps the full history. Obligations mapped to policies and controls point back to that source. Quality control is described as a process rather than a number. Subject matter experts at Corlytics validate the enriched content, and in Obligations Management the client's own experts review extracted and mapped obligations before gap reports go out. In the FCA handbook project, machine tagging ran with a review, approve or reject step and a full audit trail. No accuracy rate or test result is given for classification, summaries, extraction or mapping.

Human oversight is published as a design commitment, and the product's own language is consistently assistive. The vendor states that it combines structured regulatory data, human oversight and AI powered workflows rather than relying solely on automation. The mechanics bear that out. Obligation clustering generates a suggested obligation for the team to manage to rather than creating one, automated workflows trigger the necessary reviews rather than dispensing with them, and applicability determination combines subject matter experts with the technology. The FAQ is more careful still, describing AI as assisting teams with research and early impact assessment and surfacing potentially relevant requirements. So the review point exists and the professional decides. What is missing is the structure around it. No threshold is published at which anything acts unattended, nothing states which workflow steps proceed without approval, and no confidence signal is described against a suggested obligation or an impact tag. Nothing addresses what happens when a relevance tag is wrong and a change is not escalated.

The platform automates the reading and routing of regulation and leaves decisions to people. Content is collected, classified and sent to the right business lines and teams without manual triage. Extraction and mapping run automatically, then the client's subject matter experts validate the results before gap reports and attestations are produced. Gap analysis returns suggested wording for a policy or control rather than changing it, and users are prompted to revisit mappings when a rule changes. Change management turns a regulatory change into a change package with owners, tasks and alerts at each stage, and records offline gap analysis alongside it. Policies pass through configurable multistage approvals. For the FCA's handbook, machine tagging ran inside a four eyes workflow in which users could review, approve or reject each change. No confidence level is described at which the models hold back output, and nothing covers what happens once a wrong mapping has reached a policy or control.

No production evidence for this product is published. There is no named customer, logo, testimonial, case study or figure attached to any deployment of Compliance Intelligence on any page read. Two numbers on the product page belong to the parent rather than the product. Wolters Kluwer states it serves over 10,000 banks and credit unions globally, which is its book of business across the whole compliance portfolio. The page also carries a Chartis RiskTech AI 50 2025 top five global ranking for excellence in artificial intelligence, which ranks Wolters Kluwer rather than assessing this product. Neither names Compliance Intelligence. The product launched in the fourth quarter of 2025 and was under a year old at this check, which explains a thin deployment record without changing what is published.

The longest running named deployment is the FCA. A pilot began in September 2016 and the Intelligent Handbook went live on 10 May 2017, with Corlytics' taxonomy and machine learning tagging covering more than 18,000 provisions. Other FCA functions use it too, including to speed up firm onboarding. Arbuthnot Latham, a London private and merchant bank, is named in a case study about centralizing group policies, with standard templates, single sign on and staff attestation among its requirements. The International Compliance Association launched an alert tool on Corlytics feeds in June 2025 for more than 30,000 members, and GRC Report began carrying its feeds in September 2026. Six more case studies are anonymous. Corlytics puts the efficiency gain at 25% for the compliance monitoring and risk insight teams of a European tier 1 bank. A crypto exchange went live in six weeks, and a United States investment manager with more than one trillion in assets replaced older third party tools with it. Client logos also include FINRA, ING, abrdn, Block, Natixis, Patria, SCOR, Swiss Re and Vontobel. The headline claims, 40% of the world's 30 largest banks as clients and policy approvals 50% faster, come without a named source.

Nothing addressing customer data in this product is published. There is no product level security page, data processing addendum, trust portal or customer agreement for Compliance Intelligence. The only governing document published is the global Wolters Kluwer Privacy & Cookie Notice, current at June 2026. It is scoped to the personal information of individuals who interact with Wolters Kluwer as visitors, contacts and account holders, and states that additional or different privacy notices may be provided for a specific Service. Nothing published therefore addresses whether an institution's obligations, control mappings, risk posture or examination material is used to train or improve models, how long it is retained, whether it is segregated from other customers' data, or which model providers see it. This matters because the data a bank puts into this platform is its own compliance exposure, the material a regulator would ask for.

Each client's policies, obligation registers, impact assessments and control mappings sit in the platform, and the terms that govern that content are not public. No customer agreement, data processing agreement or confidentiality schedule is published. Nothing public says how client content is used, whether it trains the models, or how one client's data is kept apart from another's. The June 2026 privacy notice is the only data document. It covers personal data about people outside the customer relationship, such as website visitors, prospects and suppliers, though its reader list also names software users. It describes access controls, user authentication, encryption, staff confidentiality and regular security testing. ISO/IEC 42001 certifies how Corlytics governs its own AI, and ISO/IEC 27001 covers its information security management. Neither is a statement to clients about how their content may be used.

No position on advice versus tooling is published, on a product that determines regulatory applicability. Nothing published states that the product's output is not legal advice, nothing addresses the boundary between a machine-suggested obligation and a compliance officer's or counsel's own determination, and nothing describes what a professional must verify before relying on an applicability assessment. The absence is pointed rather than formal, for two reasons drawn from the vendor's own material. The product's central function is telling an institution which legal requirements apply to it and rationalizing them into obligations, which is an applicability judgment with regulatory consequences. And the named users include legal and compliance decision makers alongside chief compliance officers, so a professional is expressly in the loop. No rule of professional conduct, regulator expectation or supervisory guidance on the use of automated tools in a compliance program is cited anywhere.

The product sells interpretation as well as information. The platform extracts obligations, filters them to a firm's activities and jurisdictions, suggests how a policy or control should change, and drafts policy text. In one UK bank's case, a third party consultancy used rules supplied by Corlytics to complete a rules mapping exercise the bank had agreed with its conduct regulator. The website legal notice says site content is general guidance that does not replace regulatory, compliance, risk analytics or other professional advice, and supplies it as is. It governs the website rather than the platform. No public statement says how platform output relates to legal or compliance advice, or who is responsible for checking it before a firm relies on it. The client expert validation step in Obligations Management is the clearest description of who signs off.

A published governance position exists at corporate level, with no mechanism, owner or testing behind it. Wolters Kluwer publishes AI Principles setting out five commitments. They cover privacy and security in design and deployment, transparency and explainability sufficient for users to understand and use the system appropriately, governance and accountability through development standards for risk management and issue remediation, fairness and nondiscrimination, and a human focused approach. The principles state that they guide the design, development and deployment of advanced technologies across Wolters Kluwer's products and services. The page sits in the same navigation and footer as the product page on the same domain, so a buyer can connect the two. The principles are five aspirations of one sentence each. No named owner is accountable for this product's model behavior, no evaluation or testing regime is described, no results are published, and no governance certification such as ISO 42001 is held. Nothing specific to the product addresses how a clustering model that rationalizes legal obligations is validated.

An AI management system certified to ISO/IEC 42001:2023 covers the whole business. A-LIGN issued the certification in May 2025 after a two stage audit that found zero nonconformities, and Waystone Compliance Solutions advised on the program. The scope covers every product line. The program is framed around bias mitigation, risk and resilience controls across the AI lifecycle, and mapped to the EU AI Act and the UK National AI Strategy. Later releases add the NIST framework and OECD principles. Oisin Boydell, Chief Data Officer, speaks for the AI program, and founder John Byrne describes an AI by design strategy that reaches six competencies of the business. Product pages describe a science based method, ensemble models and expert validation at each stage. Test results are not published, so nothing shows how output quality varies across languages, jurisdictions or document types.

A generic corporate notice covers the product nominally and addresses none of what happens to customer content. The global Privacy & Cookie Notice is current at June 2026, version 1.5, and does carry real machinery: a controller framework across Wolters Kluwer N.V. and its subsidiaries, transfer safeguards naming EU Model Clauses and binding corporate rules, access limited to a need-to-know basis, an internal framework of policies and reasonable security standards, a full set of data subject rights with a working request route, and a stated position on retention. But every one of those provisions is about the personal information of people who interact with Wolters Kluwer, not about the regulatory and compliance data an institution puts into this platform. Retention is stated without any period, resting on data retention policies that are not published. Third parties are given only as categories, with affiliates, service providers, business partners and advertisers named as classes and no individual processor identified anywhere. No incident or breach notification commitment is published, no encryption standard is stated, and no product-level security documentation exists.

Clients' regulatory content, obligation registers and policies live in Corlytics' cloud platform, and no published document sets retention, deletion or subprocessor terms for them. The privacy notice covers personal data only. Corlytics keeps that data for the life of an active contract, or as legal and business needs require, then deletes or anonymizes it, with the detail in an unpublished Data Retention Policy. Breaches are notified without undue delay and reported to the supervisory authority under an unpublished Data Breach Management Policy. Luca Dalla Giacoma is the named Data Protection Officer. The same notice lists access controls, authentication, encryption, IP anonymization, network security, business continuity and disaster recovery, and regular testing. It names recipients only by category: staff, technical service providers acting as processors or subprocessors, authorities such as HMRC, professional advisers and buyers of the business. The ISO/IEC 27001 certificate covers the information security management behind the service.

No agreement governing the product is published. The global footer carries two legal links, a corporate Terms of Use and the Privacy & Cookie Notice. No product level agreement, master services agreement, subscription terms, service level document or acceptable use policy appears on the Compliance Intelligence page, in the OneSumX section, or in the footer. Every route on the product page leads to connecting with an expert, booking a demonstration or requesting a return on investment analysis, so the contract is negotiated rather than published. No indemnity, liability cap, warranty on output, uptime commitment or insurance position could be located. This matters here because the product tells a bank which obligations apply to it, and a missed or wrongly clustered obligation is a supervisory finding. Allocation of loss is the question a buyer most needs answered before signing, and nothing published answers it. The corporate Terms of Use was not opened and may say more; by position and title it is a website terms page.

The only public legal document is a website notice. It supplies site content as is, disclaims accuracy, timeliness and completeness, and excludes liability for direct, indirect, consequential and other damages arising from the site. The client application sits behind a sign in, and no customer agreement, order form or service terms is published, so the platform's warranties, indemnities and liability limits are not public. Clients use the output in front of regulators. Firms rely on Corlytics mappings to evidence compliance and attest to supervisors, and one UK bank used Corlytics rules in a rules mapping exercise agreed with its conduct regulator. No public term says who carries the loss if a mapping, summary or suggested policy change turns out to be wrong.

No integration into practice or enterprise systems is published. The product page names no integration of any kind: no GRC platform, no core banking system, no document management system, no policy or control repository, no identity provider, and no API, developer documentation or connector catalog. Nothing describes how obligations, controls or regulatory changes move between Compliance Intelligence and the systems a bank already runs, which is a live question because the wider OneSumX family includes separate products for policies and procedures, compliance risk and controls, compliance testing, complaint management and exam and inquiry management, and nothing published states how this product connects even to those. The one interoperability fact located is directional rather than technical: obligations are described as dynamically linked to source regulations inside the platform.

The platform is built to sit beside a firm's GRC stack and feed it. The Regulation Library is described as fully API ready, with an Open API for major GRC platforms. Regulatory Monitoring, Obligations Management and Compliance Monitoring each send data or outcomes into a firm's GRC environment, and an investment manager client uses the data to feed its internal compliance newsletter. The FCA handbook project connected to the regulator's existing content repository, and Taxonomy Manager for Regulators links digital handbooks to online portals and obligation registers. The partners page shows logos for IBM, ServiceNow, Solidatus and Chainalysis among others. Inside the platform, controls mapping links obligations to a firm's policies, standards, procedures, controls and processes, and taxonomy routing sends content to the right business lines and teams. No connector is named, and there is no public API reference or integration guide that shows what syncs and in which direction.

Neither the tenancy model nor any region is stated, and cloud delivery is not even made explicit. Nothing published describes how the product is delivered, whether it is single or multi-tenant, where customer data is stored or processed, which cloud or data center is used, or whether any regional or on-premise option exists. The only geographic statements located concern the subject matter rather than the infrastructure: the regulatory library covers the United States state and federal perimeter, and monitoring scans global regulatory bodies. Those describe what the product reads, not where it runs. The corporate privacy notice addresses international transfers of personal information under EU Model Clauses and binding corporate rules, which establishes that Wolters Kluwer moves data across borders without saying anything about where this platform's customer data sits. For a product sold to United States banks under prudential supervision, where data resides is a question examiners ask directly, and nothing published answers it.

Delivery runs from Corlytics' own cloud, the environment named in its ISO/IEC 27001 scope. Implementations run remotely across time zones, led by a dedicated implementation team, and Corlytics says go lives can take a matter of weeks. The security page lists geo specific hosting among its principles. The hosting provider, regions and tenancy model are not named, and no choice of location is offered. The only geography in the privacy notice concerns personal data transfers outside the UK and EEA, which rely on adequacy decisions, approved contracts or other safeguards. Group companies in Ireland, England, Portugal and the United States describe where Corlytics operates rather than where client data sits.

No independent security attestation is published and none is claimed. There is no trust center, no security page for this product, no SOC 2, ISO 27001 or other framework named, no auditor identified, and no report offered at any access tier, including on request. No penetration testing or vulnerability disclosure program is mentioned. The only security statement located is in the global privacy notice and is expressed as intent rather than assurance. It describes an internal framework of policies and reasonable security standards across the businesses, access limited on a need to know basis, and appropriate technical and organizational measures. It then states that Wolters Kluwer cannot guarantee information will be absolutely safe from intrusion. Nothing unsupported is on display, so this rests on absence rather than overclaiming. The gap is conspicuous for a product sold to regulated financial institutions, whose examiners will require third party assurance over material service providers.

Three certifications are named. ISO/IEC 27001 covers all activities of Corlytics Limited in delivering data and software for legislation, regulation and document management services from its cloud solutions. A SOC 2 Type 1 report from the independent CPA firm Thoropass tests control design against all five Trust Services Criteria at a point in time. ISO/IEC 42001:2023 came from A-LIGN in May 2025. An Information Security Manager runs the security program, whose principles include secure development, testing and quality assurance, continuous integration testing, infrastructure controls, geo specific hosting and incident response. One reinsurer cleared Corlytics through its own digital governance process as an approved third party supplier before rollout. No report or certificate is posted, and the security page invites readers to get in touch for more on its procedures.

Nothing about the model supply chain is published. No model is named, no version or family is given, no model provider is identified, no cloud or inference location is stated, and no commitment to notify customers when any of it changes is published. What the material offers instead are brand terms and adjectives: Expert AI as the portfolio name, a proprietary AI tool said to curate regulatory change summaries, cutting-edge AI, and advanced AI technology. Proprietary is the closest thing to a disclosure and it identifies ownership rather than architecture, saying nothing about whether third-party foundation models sit underneath. No subprocessor list exists at any level: the corporate privacy notice names only categories of recipient. A buyer in a supervised institution cannot establish from published material which models process its regulatory and obligation data, or whose they are.

Its AI is presented as the company's own work. Ensemble models with expert oversight handle classification and summaries, and specialized machine learning models handle obligation mapping. Gap remediation suggestions come from what Corlytics calls expert LLMs, and handbook tagging runs on a machine learning framework first built with the FCA. No model, model family or provider is named for any of them, and whether a third party foundation model is called, or where inference runs, is not stated. The ISO/IEC 42001 management system covers every product line, with no list of the models it governs and no commitment to tell clients when they change.

No pricing information is published at any level, including the unit of charge. No pricing page exists for the product or anywhere in the OneSumX for Compliance Program Management section, and no figure or range appears. Nothing states whether charging runs per seat, per institution, per module, by asset size or by regulatory coverage. Every route on the page leads to a sales conversation, and the calls to action say so: connect with our experts, schedule a personalized demo, or connect with our team for a detailed ROI analysis. The last offers to model the buyer's return before telling the buyer the cost.

Buying Corlytics starts with a demo and a sales conversation, and no prices, plan names or units of charge are published. The platform is modular. In its case studies, clients start with Regulatory Monitoring and add Risk Analytics, Compliance Management or Clausematch policy management, and one payments provider added two modules within a month of going live. Implementation is run by a dedicated team, with an implementation manager for each client, in sprints. A crypto exchange went live in six weeks, while one reinsurer's rollout ran through requirements and design, a proof of concept and approval as a third party supplier. Modules and configuration can be added after go live. No figure is published for licenses, implementation or the work of building a firm's taxonomy and obligation register.

The segment is defined narrowly and precisely. The product is stated to be designed specifically for financial institutions and, in the launch material, purpose built for United States banking compliance teams. Subject matter coverage is equally specific: a library spanning the state and federal regulatory perimeter, tagged against a taxonomy built for financial services, with monitoring extending to global regulatory bodies for changes, guidance, speeches and enforcement actions. The product FAQ names the users: compliance managers, chief compliance officers, legal and compliance decision makers, and risk officers. Placement within the wider OneSumX compliance program family is documented, so a buyer can see what this product does and what its siblings cover. What is absent is the outer boundary. Nothing states institution size or type limits, nothing addresses whether credit unions, insurers or lenders other than banks are served, and no regulatory coverage outside the United States is claimed for obligations. Nothing says where the product stops.

Buyers are regulated financial firms and the regulators that oversee them, with a second line of business in health and life sciences. Sector pages cover global and private banks, hedge fund and investment managers, global insurers, payments and big tech, and regulators. Case studies add a reinsurer, a crypto exchange, a UK retail and commercial bank, a London merchant bank and a United States investment manager. Regulators buy a Taxonomy Manager edition that turns handbooks into machine readable, searchable databases with visual maps by theme, product and business line. Health and life sciences clients get regulatory sensing, guidance assessment, digital call for comments assessments and a repository that supports submissions. Financial services modules cover horizon scanning, the regulation library, obligations, change management, controls mapping, policy management, compliance monitoring, regulatory risk analytics and nonfinancial risk across operational, conduct, third party, cyber, AI and governance risk. Product pages speak to compliance, risk and audit teams and their chief officers, and case studies show legal teams working alongside them. No limit by firm size, jurisdiction or language is stated.