Wealth & Advisory AI
P

Practifi

Practifi sells a client relationship and business management platform purpose built for wealth management firms, covering the unified client record, pipeline and opportunity management, referral source tracking, workflow automation across onboarding, account opening, money movement and review scheduling, compliance monitoring, real time productivity and revenue reporting, and a mobile application. It is built natively on the Salesforce Lightning platform rather than as standalone software, and serves advisory firms ranging from around ten employees to enterprises of ten thousand.

In December 2025 the company shipped Practifi Intelligence, an add on suite activated per client, organized into relationship, meeting and administrative capabilities: it produces conversation summaries, surfaces context across a client record, generates follow up actions automatically and triggers workflow steps. The company has stated that further functionality would be introduced across 2026, and has announced a second and distinct product for release on 25 August 2026, described as an artificial intelligence native intelligent client relationship system sold alongside the established enterprise platform rather than replacing it. Headquartered in Chicago.

Last VerifiedAugust 21, 2026
Compare Practifi with other vendors
Founded
—
Headquarters
Chicago, Illinois, United States
Categories
wealth-and-advisory
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 2 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

Practifi's own commercial structure treats AI as an add on. The client relationship system, pipeline, workflow automation, compliance monitoring and reporting were the product before inference arrived. The intelligence suite shipped in December 2025 as an add on that existing clients activate through an account representative, not as a capability woven through what they already had. Strip it out and the platform runs.

The company says the suite applies an AI first framework across the platform, which sits awkwardly beside its being sold and switched on separately. A second product, described as natively AI based, is announced for release on 25 August 2026, and would change this picture if it ships as described.

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

The autonomy is described and the oversight is not. Published material says follow ups are generated automatically and workflow actions are triggered without manual intervention. That is the capability being sold, stated as a benefit with no qualification. Nothing published says what a person reviews before a generated follow up reaches a client, or whether generated content can be told apart from staff written content inside the client record.

Nor is there a described approval step before an automated workflow action executes, or a way for a firm to audit what the suite did on its behalf. A client relationship system is the firm's book of record. Content that enters it automatically, with no described gate, becomes indistinguishable from the rest over time.

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

The claim most in need of measurement is that relationship intelligence surfaces what matters and organizes the information that counts. A summary that omits a material client instruction is wrong in a way nobody notices: the adviser reads a clean summary and never learns what it left out. Nothing published addresses completeness in either direction. No accuracy figure, error rate, benchmark or validation method is published. There is no grounding or citation guarantee linking a generated summary back to the conversation it came from, and no drift statement or revalidation cadence.

Operational and Outcome Evidence
CC on Operational and Outcome EvidenceUnnamed case studies, customer logos, or claims without numbers. Prestige is not measurement: the caliber of the client list describes the buyer rather than the product, and coverage statistics are not adoption statistics.
Vendor Published

Two advisory firms are named as customers, but on a third party software directory, not in the vendor's own material. A directory entry is not the vendor's published claim, and its provenance cannot be established. The company's own material names no client and publishes no case study or quantified result from either the platform or the intelligence suite. The suite shipped in December 2025, so the absence of measured outcomes is expected, not evasive. The vendor's own customer stories material would likely settle the question and is not reflected here.

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

Nothing published says whether client records, meeting content or communications processed by the intelligence suite are used to train, tune or evaluate any model. Nor does it say whether a model provider retains content, or whether material from one advisory firm can inform output shown to another. The product runs natively on Salesforce, which complicates the question. Nothing published states whose terms govern content passing through the intelligence layer: the vendor's, Salesforce's, or both.

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 platform holds the unified client record for advisory firms, spanning demographics, assets, goals and full engagement history. The intelligence suite now adds conversation content to it. No retention schedule, deletion commitment or data processing terms are published, and nothing describes how meeting content is handled once summarized. Salesforce, the platform underneath, carries its own extensive privacy documentation. Whether the vendor relies on that or publishes its own position is unclear.

Security Certifications and Trust Center
CC on Security Certifications and Trust CenterA single footer line, or certifications asserted without being enumerated, which is weaker than naming them because it invites an assumption a buyer cannot check.
Vendor Published

A certification claim exists, and it has two problems. A third party software directory states that the company adheres to leading security standards, including a named international standard and a named government framework. The first problem is provenance: the claim sits on a directory, not on the vendor's own domain. The second is wording: "adheres to" and "compliance" are not the words a certified organization uses. Neither means the certifications are absent, only that nothing published establishes them. Whether the vendor's own domain carries a trust or security page is not reflected here.

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

A software supplier to advisory firms has no license and requires none. The platform performs compliance monitoring for its customers, which is a product capability, not any supervised status of the vendor, and the two are separate. The open question is the ordinary one for this category.

Records held in a client relationship system are examinable material for a regulated advisory firm, and nothing published describes how a firm would show an examiner which entries in that record were generated rather than written.

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

The exposure sits in prioritization, not in any explicit judgment about a person. A system that surfaces insights, decides which client context is worth raising and generates follow up actions is allocating adviser attention across a book. A systematic tendency in what it raises steers service toward some clients and away from others without anyone choosing that. Nothing published explains how the suite decides what to surface.

There is no account of whether its output was examined for systematic effects across client type, account size or engagement history, or of whether a firm can inspect why one client was flagged and another was not.

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

The risk comes from the autonomy the product advertises. A follow up generated and sent automatically, or a workflow action triggered without manual intervention, is an act the advisory firm performed as far as its client and its regulator are concerned. Nothing published addresses what happens when one of those actions is wrong. There is no public warranty or accuracy commitment, and no service level or correction obligation. Nothing allocates responsibility between vendor and advisory firm, and no disclaimer places it plainly on the firm.

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

The platform underneath is named and the models are not, and that gap creates real ambiguity, not a simple silence. Naming a platform or host discloses infrastructure, not a model supplier. Salesforce ships its own AI services, so a reader told that the product is native to Salesforce and now has AI capabilities cannot tell whose models these are. They could be Salesforce's, a third party's, or the vendor's own. Product pages, the launch announcement and the blog do not resolve it.

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

The architecture does most of the work. The platform is built natively on Salesforce Lightning, not as standalone software. It inherits that platform's integration tooling, application ecosystem, and enterprise identity and permission model without the vendor building any of it. Firms already running Salesforce elsewhere in the business gain a common foundation. An email client integration is named, with follow up recommendations surfacing inside it.

No wealth specific connection is named individually. Custodians, portfolio accounting, planning tools and document systems are the integrations an advisory firm evaluates on, and none of them appears in published material.

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

Because the product is built natively on Salesforce Lightning, its hosting and residency are largely inherited from that platform, which publishes its regional infrastructure. The vendor itself states none of it. Its own material names no hosting region, storage location, tenancy statement or residency commitment. That leaves a buyer inferring where data sits from the platform underneath rather than reading it.

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

One structural fact is published and no number is. The intelligence suite is activated separately, not included, so the AI carries its own commercial line. The newly announced second product is described as sold alongside the existing platform, not replacing it, which implies a further separate charge. No rate, per seat figure or tier is published. The stated customer range spans firms of ten employees to ten thousand, and the pricing model is the thing a small firm most needs and can least see.

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

Breadth comes from firm size, not institution type. The buyer is a wealth management or financial advice business and nothing else; no bank, insurer or asset manager segment is addressed. Within that, the stated range runs from roughly ten employees to enterprises of ten thousand. That spread calls for different configuration, permissioning and support models at each end. The company describes serving firms internationally, not in a single market. Two limits matter: the single buyer type, and the lack of published customer evidence behind the international claim.

Tracked Since Listing

Product updates

Material product, regulatory, evidence and commercial changes at Practifi, 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.

Aug 25, 2026Product / capabilityPartially verified

Practifi launched Practifi Sentir, a CRM built around 16 specialized AI agents that work across client records to produce daily briefings, draft meeting notes and answer plain language queries. The release ships with a permissioned MCP server that extends CRM context to external AI assistants. The legacy platform was rebranded at the same time as Practifi Naya.

Bears on: AI CentralitySource
Our read on this update →Tracked since Aug 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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