Compliance, Surveillance & RegTech
M

MyComplianceOffice

MyComplianceOffice, which trades as MCO, sells compliance management software to regulated financial services firms. Thirty or more products run on a single platform and a single data set, organized into four suites. Know Your Employee covers personal trading and crypto trading compliance, gifts and entertainment, political contributions, outside business activities, licensing, connected persons, and communications archive and review. Know Your Transactions covers trade surveillance, deal review, insider and material non public information management, and payment screening.

Know Your Third Party covers third party risk assessment, lifecycle management and screening, and an AML and KYC compliance solution sits alongside. Know Your Obligations covers obligations, risk, assurance and policy governance. The company began as a technology development division inside Fidelity Investments, became a standalone business under founder and chief executive Brian Fahey, and acquired Schwab Compliance Technologies from Charles Schwab in 2022.

Models sit inside two workflows rather than underneath the platform: noise detection that prioritizes which employee communications reach a supervisor, and summarization of trade alerts, both added to a rules driven engine of configurable lexicons and preclearance thresholds. Its published credentials are a SOC 2 Type II report and ISO 27001 certification.

Last VerifiedOctober 2, 2026
Compare MyComplianceOffice with other vendors
Founded
2005
Headquarters
Dublin, Ireland
Categories
compliance-and-surveillance, aml-kyc-financial-crime
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 6 graded A or B

AI Capability
AI Centrality
CC on AI CentralityArtificial intelligence is present but peripheral: a feature layer on a product whose value stands without it.
Vendor Published

Thirty products, from rule based trade surveillance and lexicon driven communications review to personal trading registers, work with the models removed, and the platform sold for years before they shipped. Its two model features are noise detection, which decides which messages reach a supervisor, and summarization of trade alerts.

Autonomy and Oversight Model
BB on Autonomy and Oversight ModelA written commitment that the models work alongside human judgment, with real review surfaces, short of the full control structure: commonly the threshold at which the system stops or what happens after it is wrong.
Vendor Published

Review by exception is the operating model, with preclearance before employee trades and recorded dispositions, and both model features keep the human decision. Noise detection still removes items from a supervisor's queue, and no threshold, sampling audit or override path for that suppression is published.

Model Risk Management and Transparency
CC on Model Risk Management and TransparencyTransparency is claimed in general terms with no mechanism a model validator could interrogate.
Vendor Published

Advertising less noise is advertising a threshold move, which trades against detection, yet no accuracy, recall or false negative rate is published. Generated trade alert summaries become what reviewers act on, and how they are validated against the underlying alert is not described.

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

More than 1,500 client companies, over a million users and 95 percent client retention are stated as aggregates. Ten customer stories describe firms only by type and place, and the one quantified result is a three week communications deployment.

AI Safety and Data Stewardship
CC on AI Safety and Data StewardshipGeneral assurances that do not answer the question this axis asks, which is whether one customer’s data trains models serving its competitors. Unbounded cross client learning stated with no boundary grades here too.
Vendor Published

Benchmarking surveillance against other firms is offered, which means data crosses tenants in some aggregated form. What is pooled, whether participation is optional and whether one client's reviewed outcomes train models serving a competitor are unstated.

Regulatory and Compliance
GLBA and Data Privacy Posture
CC on GLBA and Data Privacy PostureA standard privacy policy that covers the website rather than the service, or silence on a product that touches limited consumer data.
Vendor Published

The privacy statement linked in the footer dates from March 2015 under the former TerraNua name and relies on Safe Harbor, invalidated that year, while the procurement page cites Privacy Shield, invalidated in 2020. Neither describes handling of the employee holdings, personal device messages and connected persons data the service holds.

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

SOC 2 Type II and ISO 27001 are named, with encryption in transit and at rest, and current reports with scope and dates come when a buyer asks.

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

Modules map to named obligations, including the adviser code of ethics rule, the European Market Abuse Regulation and MiFID II, with evidence packages built for examinations. No regulator has admitted or tested the product or its model features.

AI Governance and Bias Disclosure
CC on AI Governance and Bias DisclosureResponsible artificial intelligence committed to in policy language with no evaluation behind it, on a product whose bias surface is modest.
Vendor Published

Policy language fills the Responsible AI guide for compliance officers, with no testing or independent assessment behind it. Lexicon models can flag informal writers and second language speakers into supervisory records that affect employment, and no per language accuracy is published across a footprint where much monitored communication is not in English.

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

Recorded dispositions and point in time evidence packages let an institution reconstruct and contest a supervisory outcome. A wrongly flagged employee carries the entry through registration and employment with no published correction or appeal path, and MCO publishes no warranty for a message noise detection wrongly suppressed.

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

Neither noise detection nor alert summarization has a named provider, base model or build position, and the subprocessor list is available only on request. Employee communications from personal devices may or may not reach a third party model, and nothing published says which.

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

Capture runs across email, collaboration tools and WhatsApp, with a named partnership for retaining iMessage traffic and brokerage feeds strengthened by the 2022 Schwab Compliance Technologies acquisition. Order management systems, core platforms and a public connector catalog are not named.

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

Separate European and American sign in portals and delegated regional administration control access but do not state where data sits. Hosting jurisdiction, region choice and tenancy are available only on request.

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

A demo request is the only route to a number, and no rate card, tier ladder or billing basis is published. Across thirty products, pricing by module, employee or monitored channel would produce very different totals for the same firm.

Institution and Segment Coverage
AA on Institution and Segment CoverageThe financial segments served are named and each carries its own maintained material, whether the coverage is broad or deliberately narrow.
Vendor Published

Asset managers, broker dealers and banks lead a buyer list that extends to insurers, private equity and regulated crypto firms, each with segment material. Stories span firm types from a Canadian bank to a Swiss law firm, and reach runs to more than 125 countries.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at MyComplianceOffice, each verified against a live source and tagged to the capability axis it bears on. Funding rounds and awards are not product changes and are not logged.

Oct 14, 2026Product / capability

MCO extended its personal trading and digital asset controls to employee activity on prediction markets, so firms can manage that trading under the same oversight rules. It also widened its AI assisted communications surveillance to more collaboration platforms, naming Telegram and Slack.

Bears on: Institution and Segment CoverageSource
Our read on this update →Tracked since Oct 2026

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CUBE sells automated regulatory intelligence and regulatory change management to financial institutions.

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.

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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.
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