The Vision: What Banking Becomes
Radical AI isn't building better chatbots. We're reimagining what banking is.
Most people hear "Personal Banking Assistant" and think: another chatbot, better than Aino or Juno, but still just Q&A. That's not what we're building.
We're creating AI that can do everything the bank's employees and digital channels do today—combined, integrated, and personalized to each customer. Not through conversation alone, but through dynamically generated digital experiences tailored to each customer's context, goals, and life situation.
Today vs. Tomorrow
Concrete Examples
Scenario 1: Buying a House
Traditional Banking:
- Customer googles "mortgage rates DNB"
- Navigates to mortgage calculator (separate from mobile bank)
- Fills out pre-approval form manually
- Waits days for response
- Separately opens savings account for down payment
- Calls to ask about insurance options
- Each interaction is disconnected, starting from zero
AI-Augmented Banking:
Customer tells PBA: "I'm looking at buying a house"
PBA immediately:
- Analyzes current finances and estimates affordable price range
- Shows mortgage options with real rates, personalized to customer's situation
- Generates a custom mobile bank view for house-buying journey: budget tracker, down payment progress, document checklist, rate monitoring
- Proactively monitors market rates and alerts when it's optimal to lock in
- Orchestrates pre-approval, account setup, insurance quotes—all in one flow
- Remembers context across weeks/months as customer progresses
Scenario 2: Personalized Financial Experience
Traditional Banking:
- 18-year-old student sees same mobile bank as 60-year-old retiree
- Generic budgeting tools (if they find them)
- No guidance on what's relevant to their life stage
AI-Augmented Banking:
PBA recognizes life stage and goals
Dynamically creates personalized mobile bank interface:
- Student: Focus on spending tracking, student loan guidance, part-time income management, savings for study abroad
- Young family: Childcare costs, education savings (BSU), family budget tools, parental leave planning
- Retiree: Income distribution, tax optimization, healthcare costs, pension maximization
Interface adapts as life changes—new job, moving, having kids, retiring
Scenario 3: Proactive Financial Health
Traditional Banking:
- Customer overdrafts checking account, gets fee
- Misses savings opportunity on high-balance checking
- Doesn't realize they're paying too much in fees
AI-Augmented Banking:
PBA continuously monitors patterns
Proactively alerts:
- "You typically get paid on the 25th, but rent comes out on the 23rd. Want me to set up a buffer transfer?"
- "You've had over 50,000 NOK in checking for 3 months. Moving to savings account would earn you ~X kr/year."
- "Based on your transaction patterns, switching to [account type] would save you 800 NOK/year in fees."
Why This Isn't a Chatbot
(including current Aino/Juno)
The key difference: PBA doesn't just talk about your finances—it creates personalized banking experiences and takes action on your behalf.
The Journey: From Chatbots to Digital Twin Banking
Phase 1: Enhanced Chatbot (Today's Aino/Juno)
- Better answers through improved knowledge base
- Still reactive, limited actions
Phase 2: Agentic Assistant (Near-term)
- Can execute transactions, not just explain them
- Multi-step planning and orchestration
- Persistent context across interactions
- Still primarily conversational interface
Phase 3: Digital Twin Banking (Target State)
- Fully integrated AI that mirrors all bank capabilities
- Generates personalized digital channels: Your mobile bank looks different than mine based on our needs
- Proactive financial partnership, not just service
- Human-in-the-loop for complex decisions, fully autonomous for routine tasks
Radical AI is proving that Phase 3 is possible—and building the infrastructure to make it real.
What This Enables (That's Impossible Today)
Every customer gets a banking experience tailored to their life, not demographics
Complex orchestration (buying a house, starting a business, planning retirement) becomes seamless
AI catches opportunities and risks before they become problems
Complex financial services accessible to everyone, not just those who can afford advisors
Tasks that take days/weeks (mortgage pre-approval, investment account setup) happen in minutes
Why This Requires Organizational Transformation
You can't build this with traditional product development:
- Too complex for waterfall planning (AI interactions are emergent, not fully specifiable upfront)
- Too fast-moving for large teams (need to iterate daily based on what we learn)
- Too integrated for siloed teams (PBA spans every product area—can't have 10 teams each owning a piece)
This is why internal transformation enables customer transformation:
- Teams of 1-2 people (human + AI digital twins) can build and iterate on complex AI experiences
- Fast feedback loops let us discover what customers actually need (not guess in advance)
- Integrated teams can orchestrate across traditional product boundaries
The vision requires the new operating model. The new operating model enables the vision.