Wealth & Advisory AI
J

JIFFYAI

JIFFYAI sells software that pulls a wealth firm's scattered client data into one place and puts AI on top of it. RIAs, broker dealers, family offices, and bank and trust firms use it to open accounts, service clients and prepare for meetings.

The platform gathers data from custodians, CRMs, statements and email into a single warehouse. On that base it offers account opening, servicing workflows, a desktop for advisors, and an AI assistant that takes meeting notes, launched in March 2026. It connects to custodians such as Schwab, Fidelity and Pershing, and to wealth and CRM platforms such as Orion and Salesforce.

Cetera and Orion appear in its case studies. Its models run on AWS and Google Cloud, it publishes SOC 2 Type II and ISO 27001 certifications, and it lists the outside companies that handle client data. JIFFYAI is the trading name of Paanini, Inc.

Last VerifiedOctober 2, 2026
Compare JIFFYAI with other vendors
Founded
—
Headquarters
Palo Alto, California, United States
Website
jiffy.ai
Categories
wealth-and-advisory, customer-banking-agents
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 12 graded A or B

AI Capability
AI Centrality
BB on AI CentralityThe models are the engine of a core capability, layered on a product that would still function without them as a rules or workflow system.
Vendor Published

Extraction during onboarding, an Advisor Companion that prepares meetings and a notetaker that writes follow ups into the CRM are the model work. A no code platform, workflow orchestration and rules based straight through processing would survive their removal.

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

Every consequential AI action requires human review and approval, and no AI runs without a defined oversight gate, while rules based workflows aim at straight through processing. Which actions count as consequential, and which servicing outcomes complete without sign off, is not defined.

Model Risk Management and Transparency
BB on Model Risk Management and TransparencyReal transparency mechanisms are published, such as per alert explainability, confidence scoring or split testing, without the validation package or supervisory mapping behind them.
Vendor Published

Each AI interaction is logged with input, output, model version and timestamp in an immutable audit trail, alongside prompt injection controls and guardrails. Extraction accuracy, error rates by document type and model documentation for a firm's own validation are unpublished.

Operational and Outcome Evidence
AA on Operational and Outcome EvidenceNamed customers with hard performance figures and enough method to test them.
Vendor Published

Cetera reports an 80 percent capacity gain from unifying representative and investor transactions on the platform, with its head of strategic operations, Brent Gaddis, quoted, and an Orion case study reports thousands of hours saved. OneDigital has since chosen the platform for investor onboarding, though the Cetera figure comes without baseline or method.

AI Safety and Data Stewardship
BB on AI Safety and Data StewardshipA categorical stewardship commitment is published without the retention schedule or the engineering detail behind it.
Vendor Published

Customer data is never used to train, fine tune or improve any model, a categorical line. What the external model providers retain is not covered by any published term.

Regulatory and Compliance
GLBA and Data Privacy Posture
AA on GLBA and Data Privacy PostureThe privacy architecture is published in the specifics: data handling, retention, and a subprocessor list, which is rare in this index and valuable.
Vendor Published

Processor terms, per customer keys under AES 256 at rest and TLS 1.3 in transit, and a subprocessor list updated August 21, 2026 with 30 days' notice of changes and a right to object are all published. Retention is the gap, held as long as necessary under the privacy policy and unstated for the AI audit log.

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 SOC 1 Type II reports, examined annually, sit beside ISO 27001:2022 and ISO 27701 certification and a Cloud Security Alliance STAR self assessment. The trust center at trust.jiffy.ai releases the SOC 2 report under NDA on request.

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

Broker dealers and registered advisers carry suitability, books and records and supervision duties, and the firm states no position on them. Data protection, health privacy agreements and a SOC 1 report on financial controls are named, none of them wealth regulation.

AI Governance and Bias Disclosure
BB on AI Governance and Bias DisclosureAn independent demographic evaluation the vendor has submitted to, such as the NIST face evaluation class, or a governance framework with named process behind it.
Vendor Published

An AI governance program aligned to ISO 42001, with risk and impact assessments and supplier accountability for external AI providers, is described as implemented, with a certification audit scheduled for August 2026. Onboarding includes risk profiling and product selection, and what an automated recommendation optimizes for is not described.

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

Pre submission error detection stops a defective application before it reaches a custodian, and a disputed output can be reconstructed. Accuracy guarantees, remediation where a servicing request moves money incorrectly, and a route for the end investor are all unpublished.

Integration and Deployment
Model Supply Chain Disclosure
AA on Model Supply Chain DisclosureEvery party between the customer’s data and the output is enumerated by name, canonically through a public subprocessor list naming the model providers.
Vendor Published

The subprocessor list names Anthropic for Claude inference through AWS Bedrock, Google for Gemini through Google Cloud and Amazon Web Services for hosting, with locations, a change history and notice of additions. Exclusions are explained too: OpenAI serves only optional app creation with no customer data, and Langfuse is self hosted, though the security page still says every model runs through Bedrock.

Core Systems and Integration Depth
AA on Core Systems and Integration DepthNamed integrations with the systems of record, core banking, policy administration, custodial or contact center platforms, verifiable in marketplace listings or public API documentation.
Vendor Published

Prebuilt integrations are named for custodians such as Schwab Advisor Services, Fidelity and Pershing, for platforms such as Envestnet, Orion and Addepar, and for CRMs such as Salesforce, Redtail and Wealthbox. Orion and Cetera appear as customers, which puts that connectivity in production.

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

Northern Virginia is named as the primary AWS region, within designated AWS regions for customer data. Private deployment and residency outside the United States have no published option.

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 free trial and demo are offered, with no rate, tier or billing unit published for five separable solutions. Go live in under eight weeks states the implementation commitment while leaving the cost open.

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

Registered investment advisers, broker dealers and family offices each get a page, alongside banks, trusts and credit unions and further pages by role. More than fifty registration types are supported, which decides whether onboarding works across a firm's book.

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Addepar is a New York headquartered data and portfolio intelligence platform for investment professionals, founded in 2009 and serving more than 1,400 firms across nearly 60 countries who…

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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