Customer & Banking Agents
F

Flybits

Flybits sells contextual AI that banks and card issuers use to personalize digital experiences and, more recently, to run agentic commerce inside their own apps. It turns data from a bank's systems and outside sources into signals that decide which offer or experience each customer sees.

Its agentic commerce product lets a customer shop through a conversation in the bank's app, confirming the item, total, tax and delivery before paying, and runs under Mastercard Agent Pay and Visa Intelligent Commerce rules. With Rogers Bank and Mastercard it launched what the partners describe as a benchmark for consumer controlled agentic commerce in Canada.

Flybits also names ATB Financial and cites a 27 percent conversion increase from its Intent Match solution. It holds SOC 2 Type II, ISO 27001 and PCI Data Security Standard Level 1 audits and tokenizes customer identifiers at the edge. It is based in Toronto.

Last VerifiedOctober 3, 2026
Compare Flybits with other vendors
Founded
2013
Headquarters
Toronto, Ontario, Canada
Website
flybits.com
Categories
customer-banking-agents, wealth-and-advisory, lending-and-banking-operations
Assessment

Capability Axes

Capability grades

15 of 15 axes rated · 9 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

Context models decide which offer or experience each customer sees, and an agentic commerce product shops on a customer's behalf inside the bank's app. Underneath sits offer delivery infrastructure that could run on rules, if more crudely.

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

Purchases run on a single confirmed instruction, with the full total shown for approval inside the bank's app, and the bank owns the agent end to end. The personalization engine gets no comparable review over which offers reach which customers.

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

Conversion and engagement gains are cited without a method, accuracy measure or validation, and how the commerce agent's choices are tested before release isn't 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

Rogers Bank and Mastercard are named partners in the agentic commerce launch, and ATB Financial supplies a quote. The 27 percent conversion lift and fourfold engagement gain aren't tied to any institution.

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

Behavioral signals, brand affinity and transaction data all stay inside the bank's own ecosystem. Whether patterns learned at one bank shape models serving another isn't addressed.

Regulatory and Compliance
GLBA and Data Privacy Posture
BB on GLBA and Data Privacy PostureA substantive privacy document that reaches the product itself, short of the subprocessor list or the full data handling detail.
Vendor Published

A zero PII architecture tokenizes customer identifiers at the edge. Retention terms, processing terms and a subprocessor list are missing from the main pages.

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

Active SOC 2 Type II, ISO 27001 and PCI Data Security Standard Level 1 audits are stated, without a public trust portal or downloadable report.

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

The commerce agent is registered on the payment layer and works under card network rules for agentic payments, a clear footing for software that completes purchases.

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

Offers are timed to each customer's context and life moments, which is when people are easiest to persuade. For credit offers, no safeguard against vulnerable moments or fairness testing is published.

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

Confirmation before payment helps prevent a wrong purchase, but no guarantee or correction process is published, and customers can't see why a given offer appeared.

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

Public, private and proprietary data sources feed the context engine without being named, and the models and host behind it are unnamed too.

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

Card networks connect through Mastercard Agent Pay and Visa Intelligent Commerce, and data flows in from a bank's back end systems, but no digital banking platform, core or card processor is named.

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

Everything runs in Flybits' own cloud, with no provider, region or option to run inside the bank's environment.

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

Deployments typically go live in 90 days, Flybits says, but the cost of getting there is never stated and engagement starts with a contact form.

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

Banks and card issuers get dedicated material on agentic commerce and card portfolio intelligence, though the named relationships are all Canadian.

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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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