Over the last few years, artificial intelligence has changed how people work, communicate, and discover information. Toronto-based serial tech entrepreneur G. Scott Paterson believes the next opportunity lies in helping people manage the information they already own.
During his appearance on In Good Company with Jay McCauley, Paterson shared his thoughts on FUTR, an AI agent app combining a secure personal data vault with a token rewards engine. The company was incubated and spun out of the private fintech FutureVault, which he also founded. Paterson describes the project as “certainly the coolest thing I’ve ever been involved in conceptualizing,” bringing together AI, secure document management, payments, and consumer-owned data within a single platform.
AI That Understands Your Personal Information
His vision begins with a simple observation. Everyone’s digital life continues to grow, including mortgage documents, insurance policies, tax returns, investment statements, warranties, medical records, school documents, and legal agreements. Paterson said his own personal vault contains roughly 20,000 documents, collected over many years.
“We’re drowning in documents,” he said.
FUTR is designed to bring those records together inside a secure data vault, allowing users to interact with them through an AI agent. Rather than manually opening folders, searching email accounts, or logging into multiple portals, people can simply ask their FUTR Agent App questions and have them answered instantaneously.
During the interview, Paterson described how that experience could work in everyday situations. Someone notices a crack in their windshield and asks whether it’s covered by insurance. The FUTR Agent AI locates the correct policy, confirms which vehicle is insured, explains the deductible, and can help initiate the next step with the insurance broker. A homeowner could ask when a roof warranty expires, or someone reviewing their finances could ask when a mortgage matures or how much interest could be saved by increasing monthly payments.
All the answers come from the user’s documents stored in the app vault.
Built on FutureVault’s Enterprise Foundation
Scott Paterson explained that the idea grew out of years of development at FutureVault, the digital vault and document intelligence platform he founded for wealth management firms, financial institutions, and insurance companies. The company’s partner organizations represent more than $1.5 trillion in assets under management, while the platform supports over 900,000 client vault accounts and more than 10,000 professionals.
During the podcast, he emphasized that FutureVault was built around intelligent document processing, with AI integrated into the platform from the beginning. The company received its first AI patent in 2021, before ChatGPT introduced large language models to the public. As those models evolved, FutureVault expanded its approach by working with multiple AI models, using different models for different types of requests. Paterson explained that reasoning tasks and summarization tasks may be better suited to different large language models, allowing the platform to route requests accordingly.
He described FutureVault’s role with an analogy: “AI is the engine, and we’re the car.”
That same philosophy carries into FUTR, although the audience shifts from financial services to individual consumers.
Giving Consumers Control of Their Data
Paterson believes consumer control has to remain central as AI becomes more deeply integrated into everyday life. During the conversation, he discussed “explicit consented data,” describing information that people intentionally choose to share. Users decide which documents enter the vault, which organizations are granted permission to access specific information, and when those permissions are granted. The vault is designed as a private environment where personal information remains under the user’s control.
That principle also shapes FUTR’s approach to personal data monetization. Paterson argues that consumers generate enormous value through their digital activity while having little opportunity to participate in the economic value created by their information. FUTR introduces a token rewards engine that gives users tokens for activities such as opening an account and uploading documents into their vault.
He illustrated the concept using auto insurance. Paterson described a model in which consumers can choose to share verified information from an existing insurance policy. When they upload a policy to their FUTR Agent App, the engine identifies the finite details such as the model, make, year, premium, and policy expiry date. An insurer can access this information on an anonymized basis (until the consumer agrees to terms), then use it to present an offer that, by definition, will always be more competitive than the consumer’s current policy terms. The insurer’s offer to the FUTR user will typically include a combination of cash and the acceptance of FUTR tokens in lieu of cash.
Ultimately, Paterson sees token rewards as a way for consumers to participate in the value created by their personal data. He says, “consumers deserve to share in the monetization of their personal information.”
AI Agent-Native Banking and Intelligent Payments
Financial services are another area where he expects AI agents to become part of everyday interactions. During the interview, Paterson described conversations in which users ask questions about mortgages, insurance policies, investment accounts, or tax documents, with the AI agent responding from records already stored in the vault. He also discussed FUTR’s plans for AI agent-native banking and intelligent payments, subject to regulatory approvals.
Beyond storing and managing documents and data, Paterson sees AI helping people understand financial obligations, locate supporting information, and complete daily tasks through a single application that brings together documents, AI, and payments. Mortgage agreements, insurance policies, subscriptions, and other financial records become part of a connected experience in which the AI already understands the context surrounding each decision.
A New Model for Personal AI
For G. Scott Paterson, the future of personal AI depends on giving people a secure place to manage the information that defines their financial and personal lives, while allowing AI to work from trusted, permission-based records. He believes that eventually everyone will have a personal life management digital vault.
As AI continues to evolve, he believes consumers will expect those systems to understand their own information with the same ease that today’s models understand the public internet.
FUTR is built around that idea, placing the individual at the centre of the experience through an AI agent, a secure data vault, consumer-controlled permissions, and a rewards model tied to their personal information.
