Wealth & Advisory AI
W

Wealth Dynamix

Wealth Dynamix is a London client lifecycle management specialist founded in 2012, selling to private banks, wealth managers and asset managers from offices in the United Kingdom, France, Switzerland and Singapore. It ships two products: WDX1, an enterprise platform built on Microsoft Dynamics 365 and Azure for large private banks and the wealth divisions of global institutions, and CLMi, a cloud service for mid size discretionary fund and investment managers.

WDX1 covers prospect engagement, digital onboarding with know your customer and compliance checks, and ongoing client servicing, deployable standalone or combined and on premises or in the cloud, and integrates with more than 40 external systems including DocuSign, Unblu and LSEG. Its AI features include a persona builder, prospect to adviser matching, predictive analytics, sentiment analysis and automated risk screening. Wealth Dynamix names clients including Rothschild, Charles Stanley, Mirabaud and CA Indosuez, states more than $750 billion of client assets on the platform, and names ISO 27001 and SOC 2 credentials. It is wholly owned by CA Indosuez, the wealth arm of Crédit Agricole, which is also its largest client.

Last VerifiedOctober 2, 2026
Compare Wealth Dynamix with other vendors
Founded
2012
Headquarters
London, United Kingdom
Categories
wealth-and-advisory, aml-kyc-financial-crime, customer-banking-agents
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 5 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

Adviser matching, persona building and sentiment analysis are features on a client lifecycle platform whose onboarding, servicing and compliance workflows would survive their removal intact. Those features still reach steps with regulatory weight, since the engagement models shape what an adviser recommends.

Autonomy and Oversight Model
CC on Autonomy and Oversight ModelAutonomy is claimed and oversight is asserted without a mechanism, or full automation is presented as the entire disclosure. Human in the loop appears as a phrase rather than a described control.
Vendor Published

Insights, recommendations and next best actions go to advisers, and workflows, risk screening and compliance steps are automated, with no gate, threshold or escalation path described for any of them. Matching decides which prospects an adviser sees first, so attention is allocated by the system whether or not a person signs off.

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

Time saved is what the published claims measure, never correctness, and no accuracy figure, benchmark or validation method appears for any model. Sentiment analysis across English, French and other languages is a known source of error, which makes that gap matter here.

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

Rothschild, Charles Stanley and Mirabaud are among the private bank clients named, and the client base is said to manage more than $750 billion. Published results, onboarding cut from a 14 day average to same day and a 90 percent drop in manual risk assessment effort, belong to no named client.

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

CA Indosuez, the wealth arm of Crédit Agricole, owns the company outright, so a competing wealth manager would run its prospect pipeline and engagement history through software owned by a rival's parent bank, and nothing published separates that data from the owner's business or rules out training across clients. A separate chief executive and sales to third parties make this a boundary question rather than a disqualification.

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

Platform users fall within the privacy policy on paper, but its retention terms cover only CVs, website submissions and newsletters, and it names no hosting provider or subprocessor. The platform holds prospect records for people who may never become clients, with sociodemographic detail attached, so the missing terms concern personal data rather than site traffic.

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 and SOC 2 are named on the homepage among the firm's credentials. Certificate details, the report type and audit period stay unpublished, and so does any trust center.

Regulatory Status and Licensure
CC on Regulatory Status and LicensureThe regulatory position is unstated. Most vendors in this index are technology suppliers and being unlicensed is the correct posture, so this grade records silence about the posture, not a missing license.
Vendor Published

Authorizations sit with the clients, and the software company states no regulatory position for its model features. Know your customer and anti money laundering support in the onboarding module is product scope, not a credential the firm holds.

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

Persona building and adviser matching sort people into categories and allocate commercial attention on that basis, which is differential treatment by design. Bias testing, fairness evaluation and model documentation are all unpublished, on a product that makes no credit decision.

AI Liability and Recourse
DD on AI Liability and RecourseNothing published on who bears the loss when the system is wrong.
Vendor Published

The homepage and privacy policy publish no audit trail, warranty or recourse statement, and nothing says who bears the loss when a model output is wrong. Prospects scored down by a persona model may simply never hear from the firm, leaving nothing to contest.

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

Models behind the persona builder, the matching tool and sentiment analysis come with no named provider, family or version. Whether they draw on Microsoft's AI services or another supplier is left open.

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

More than 40 external systems connect to the platform, DocuSign, Unblu and LSEG among them, and WDX1 is built on Microsoft Dynamics 365. Its Temenos Exchange listing names no Temenos product, and tested connectors into custody, portfolio and core banking systems are not shown.

Deployment Model and Data Residency
BB on Deployment Model and Data ResidencyStated residency commitments or regional hosting options.
Vendor Published

On premises or Azure cloud deployment is a stated choice for WDX1 modules, standalone or combined, and CLMi runs as a cloud service for firms that want no infrastructure of their own. Azure regions, the tenancy model and where the model features execute are not named.

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

Packaging is clear even though prices are not: two products for different institution sizes, with modules bought alone or together and no rate published for any of them. Pricing for the model features, and for the Microsoft licensing underneath, is left unsaid.

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

WDX1 is built for large private banks and the wealth divisions of global institutions, and CLMi for mid size discretionary fund and investment managers, together spanning mass affluent to ultra high net worth clients. An institution outside private banking and wealth management will find nothing written for it, which is the cost of a deliberately narrow focus.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at Wealth Dynamix, 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 12, 2026Pricing / packagingPartially verified

Wealth Dynamix published a fair use policy for its CLMi platform that sets API limits, per user or service account, of up to 6,000 calls over a sliding five minute window and 50 concurrent calls. It caps ingested data storage at 1 TB and sets a fair use ratio of 35 monthly active external portal users per authorized user, and customers can request API usage telemetry once a year.

Bears on: Commercial TransparencySource
Our read on this update →Tracked since Oct 2026

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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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