Invested+™

Scotia InvestSense™ turns banking data into personalized, beginner-friendly investing guidance directly inside the Scotiabank app.

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ScotiabankInvested+™

Inspiration

Scotiabank already has millions of young customers using its banking products, yet many of those same users invest somewhere else.

That disconnect became the foundation of our idea.

While researching the case, one insight stood out immediately:

The biggest barrier to investing is not lack of money, it's lack of confidence and clarity.

Young Canadians are digitally fluent, but financially uncertain.

  • 45% of Canadians lack confidence in their investment knowledge
  • 43% of younger Canadians don't know where to begin
  • 34% of Canadians have never invested at all
  • Meanwhile, platforms like Wealthsimple have grown to 3M+ users largely through simplicity, accessibility, and better onboarding experiences.

At the same time, Scotiabank already possesses something fintechs cannot easily replicate:

  • Real banking transaction data
  • Existing customer trust
  • Integrated financial infrastructure
  • The customer's money already inside the ecosystem

We realized the opportunity wasn't to build another investing app.

It was to transform Scotiabank from a place users store money into a place that actively helps them grow it.

What It Does

ScotiabankInvested+™ is a personalized investing layer embedded directly into the Scotiabank mobile app.

Using existing banking behavior such as:

  • income
  • recurring expenses
  • savings balances
  • spending volatility

the platform calculates a personalized safe-to-invest amount users can comfortably invest while maintaining a financial safety cushion.

From there, users are guided through:

  • beginner-friendly ETF recommendations
  • personalized investing roadmaps
  • FHSA / TFSA onboarding
  • embedded financial education
  • plain-language investing explanations

All within the existing Scotiabank ecosystem.

No separate app. No external transfers. No overwhelming onboarding process.

Just a clear, safe starting point.

How We Built It

Our approach focused heavily on business strategy, feasibility, and customer psychology rather than purely technical complexity.

We used:

  • weighted decision matrices
  • RICE prioritization frameworks
  • customer pain-point analysis
  • UX-first product thinking

to determine which features would create the highest impact within the case constraints.

Our prototype was designed around an MVP-first philosophy:

  1. Safe-to-Invest Engine
  2. Student Safety Mode
  3. Personalized Investing Roadmap
  4. Beginner ETF Guidance

The core recommendation system is intentionally rules-based rather than AI-generated.

This ensures:

  • auditability
  • explainability
  • reproducibility
  • stronger regulatory alignment

The formula follows a simple financial safety principle:

Safe-to-Invest Amount = Monthly Income − Essential Expenses − Emergency Savings Buffer

This allows users to begin investing without compromising financial stability.

For students or low-income users, the system instead calculates a safe percentage of savings while preserving approximately six months of emergency coverage.

AI was positioned only as a future enhancement layer for:

  • plain-language explanations
  • educational support
  • contextual financial literacy assistance

not for investment decision-making itself.

Challenges We Faced

One of the biggest challenges was balancing:

  • simplicity
  • personalization
  • financial responsibility
  • regulatory realism

We wanted the experience to feel approachable for first-time investors without making unrealistic promises or crossing into regulated financial advice.

Another challenge was prioritization.

Many features initially sounded exciting:

  • AI chatbots
  • social investing feeds
  • gamification systems

But through our weighted decision framework, we realized the highest-value opportunity was actually much simpler:

Helping users answer one question confidently:

"How much can I safely invest?"

That insight became the center of the entire product.

What We Learned

This project completely changed how we think about investing behavior.

We learned that:

  • the investment gap is largely psychological, not financial
  • confidence matters more than feature complexity
  • onboarding friction kills investing momentum
  • embedded education is more effective than external education
  • first investment platforms are extremely sticky long-term

Most importantly, we learned that strong product strategy is not about adding more features.

It's about identifying the smallest intervention that creates the biggest behavioral shift.

What's Next

Future roadmap opportunities include:

  • AI-powered financial literacy assistant
  • dynamic spending alerts
  • advisor escalation pathways
  • predictive financial planning
  • deeper portfolio personalization
  • long-term wealth milestone tracking

Scotia InvestSense™ was designed to fit within Scotiabank's existing ecosystem and strategic priorities while addressing one of the largest financial opportunities of the next decade:

Turning young depositors into long-term investors.

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