01 · The mismatch Axis · Wealthsimple Case

Wealth is real-time.
Advice isn't. Yet.

Markets move minute by minute. Tax law changes mid-year. Best practices evolve every quarter.

A Wealthsimple customer's life moves daily — cashflow, life events, decisions all in real time. The financial world they live in moves faster still. But the advice motion at most firms is quarterly meetings, static PDFs, and form-fillable plans. That gap is the opportunity, and Wealthsimple is the only player with the data, surfaces, and trust to close it.

Alex McKenna-Ayres · April 2026 1 / 8
02 · The system Axis · Wealthsimple Case

Axis is one system,
across every surface.

Not a feature. The connective tissue between client, advisor, and product.
Surface 01
The Feed
Meetings & Tasks, re-ranked in real time. Ask any question; the feed re-ranks and explains.
Surface 02
The Living Plan
Financial Plan card. Updates as markets, tax rules, and policy shift. Ask what-if and see the impact.
Surface 03
The Pre-Meeting Brief
AI summary of recent activity before every advisor meeting.
Surface 04
The Membership Layer
Earned rewards tied to milestones and follow-through.
One engine Same data · Two views: client + advisor
Axis demo: client and advisor surfaces
From the live prototype · two of four surfaces shown
Alex McKenna-Ayres · April 2026 2 / 8
Q1 · End-to-End Client Journey Design Axis · Wealthsimple Case

Four phases.
One compounding relationship.

Four phases for a $1M+ household. For each: what the client should feel, the human moments, what Axis automates around them, and the gap I'd prioritize closing first.
Phase 01
Sign & onboard.
Day 0 → Week 4
Feel
Welcomed. Already known. Paperwork is invisible.
Human moments
Welcome call from named advisor within 24h. Personal video.
Axis automates
Welcome email + linked-account pull on sign. In-app: smart doc-collection nudge (only what's still missing). Push when the advisor video is ready. Pre-Meeting Brief drafted for the advisor.
Gap to close first
Discovery is cold. Today the first meeting re-asks what was already filled in. Pre-Meeting Brief makes it warm.
Phase 02
First plan.
Month 1 → 3
Feel
Confident. There's a plan I understand and trust.
Human moments
Live plan walk-through. Advisor co-screens. Cadence and goals set.
Axis automates
Living Plan card auto-published in the feed. Push when a market or rule change shifts a plan assumption ("Your retirement projection moved $40k — see why"). Calendar reminder + advisor brief synced before the walk-through.
Gap to close first
Plans go static. The Living Plan card replaces the PDF — the plan lives in the app and updates.
Phase 03
First year.
Month 3 → 12
Feel
Engaged. The plan is moving and so am I.
Human moments
Quarterly advisor call. Tax-strategy review.
Axis automates
Tax-event email cadence (RRSP deadline, T-slips, capital-gains windows). Feed re-rank when a recommendation has gone unviewed for 7 days. Push on detected life signals (bonus deposit, large transfer, real-estate activity). Membership progress nudge: "1 milestone from Compounder."
Gap to close first
Engagement drops between meetings. Feed + rewards keep the relationship warm continuously.
Phase 04
Ongoing.
Year 1+
Feel
Long-term. This relationship compounds.
Human moments
Semi-annual deep-dives. Life-event calls.
Axis automates
Tier-up celebration in-app + reward unlock email. Anniversary "year in review" in feed and email. Quiet-client signal routes a re-engagement nudge to the advisor. Annual review auto-scheduled at the right window.
Gap to close first
Relationships flatten after Y1. The membership layer creates new earned moments year on year.
Day 0 Month 1 Month 12 Year 1+
Alex McKenna-Ayres · April 2026 3 / 8
04 · Segmentation Axis · Wealthsimple Case

Three segments.
Three different motions.

The same surfaces. Different content, cadence, and reward shape. Dedicated Advisory clients live in Compounders and Stewards.
Why segment
and personalize?
Frame for the feed
Personalization is the engine — the feed lives and breathes for every client. Segments give that feed an arc: a shared identity, cadence, and reward shape so personalized moments add up to a chapter, not noise.
Visible progression
Status only works when the next tier is visible. Builders see the Compounder path. Compounders see the Steward path. Segments make the ladder legible.
Advisor leverage
Personalization tells the advisor what this client needs today. Segments tell them how often to call, what to push next, and which playbook to run. Hundreds of clients become a manageable book.
Segment 01
Builders
Earning fast. Deploying capital. Velocity matters.
Profile
Late 20s to mid 30s. Variable income. First serious balance sheet.
Behavior
Auto-deposits, FHSA, first investment account, employer match.
Motion
Frequent prompts, small wins, micro-tasks. Advice via the feed.
Reward
Stock fragments, deposit streaks, cashback boosts.
Segment 02 · Dedicated Advisory core
Compounders
Optimizing the engine. Risk-aware. Goal-led.
Profile
Mid 30s to early 50s. Higher income. Mortgage, dependants, plan in motion.
Behavior
Maxing TFSA & RRSP, RESP, taxable accounts, allocation discipline.
Motion
Quarterly deep-dives, advisor-led plan updates, tax-event prompts.
Reward
Tax-event credits, allocation discipline badges, premium experiences.
Segment 03 · Dedicated Advisory core
Stewards
Preserving and transferring. Trust-led. Long horizon.
Profile
50+. Pre-retirement or retired. Estate complexity. Family planning.
Behavior
Drawdown planning, will and trust, generational gifting, alternatives.
Motion
High-touch advisor, scenario planning, low-frequency prompts.
Reward
Pre-IPO access, concierge advisor time, private market opportunities.
Worked example · from the demo
Sarah Chen · $2.4M household · sorted as a Compounder on signals from contribution behavior, spousal income, and a kid in K-12.
Alex McKenna-Ayres · April 2026 4 / 8
05 · The engine Axis · Wealthsimple Case

The feed knows
who it's talking to.

Built on data Wealthsimple already touches. Captured three ways.
Passive
Linked accounts.
  • Cashflow and transactions from connected accounts
  • Balance and allocation drift across registered and non-registered
  • Contribution room and tax events
  • Behavioral telemetry from in-app engagement
Explicit
Onboarding and check-ins.
  • Life-stage signals (income, dependants, home purchase)
  • Goal updates and time-horizon shifts
  • Coverage gaps (insurance, will, emergency fund)
  • Risk preference revisits, quarterly
Continuous
Advisor and AI.
  • Advisor session notes after every meeting
  • Recommendation follow-through tracked automatically
  • AI-tagged signals from app activity and messages
  • Client self-edits (life updates, prefs)
Real-time
external signals
Markets
Live market data. Volatility events. Rate moves. The feed re-ranks within minutes when a position or plan is exposed.
Tax & policy
Annual contribution limit changes. Mid-year tax law shifts. Regulatory updates absorbed automatically into every plan.
Best-practice playbooks
Curated by Wealth Management. New playbooks (e.g., FHSA strategy, RRIF drawdown patterns) push to the relevant segment overnight.
Alex McKenna-Ayres · April 2026 5 / 8
Q2 · AI-Powered Advisor and Operations Tooling Axis · Wealthsimple Case

Beyond the investment proposal tool,
three more I'd build.

For each: the pain point, how it works, how I'd build and test a v1 quickly, and how I'd measure whether it worked.
Tool 01
The Pre-Meeting Brief.
Problem
20–30 minutes of prep time before every meeting. Across 8 meetings/day, that's 3+ hours of low-leverage work per advisor.
How it works
AI agent reads connected accounts, in-app activity since last meeting, and prior advisor notes. Outputs a one-pager: top 3 talking points, flags, suggested actions.
V1 build
n8n + LangGraph reading from Salesforce/CRM. Pilot with 5 advisors for 2 weeks. Already built and demoed in this case.
Measure
Prep time per meeting (target −50%). Advisor NPS on brief. % of suggestions actioned.
Tool 02
Service Triage Assistant.
Problem
Service ops handles a high volume of repeatable requests (transfers, contributions, address changes). 60–70% of inbound is auto-resolvable but routes to humans first.
How it works
AI classifier + intent extractor parses inbound messages. Auto-resolves the common requests; escalates the rest with full context pre-loaded for the human.
V1 build
Off-the-shelf LLM classifier + RAG over the existing knowledge base. Deploy to one channel (in-app messaging) for 30 days.
Measure
Auto-resolution rate (target 60%). CSAT parity with human-resolved. Escalation accuracy.
Tool 03
Recommendation Coach.
Problem
Advisors send recommendations but follow-through varies. They can't see why a client didn't act, can't course-correct.
How it works
AI tracks recommendation lifecycle (sent → viewed → action). Generates a 'why' hypothesis (price, comprehension, timing, trust). Routes a tailored re-engagement nudge to the advisor.
V1 build
Recommendation tracking in DB + LLM reading client behavior context. Pilot with 10 advisor-client pairs for 60 days.
Measure
30-day follow-through rate. Advisor time-to-re-engage. $ AUM uplift from closed recommendations.
Built before At Snapchat: email outreach agents, meeting-prep agents, and a customer guidance hub powering recommendations in-platform and through Salesforce. Personal: Polybacker, a multi-agent prediction-market trading bot built in n8n and LangGraph.
Alex McKenna-Ayres · April 2026 6 / 8
07 · The behavior loop Axis · Wealthsimple Case

Advice that earns.

A four-step loop turns recommendation follow-through into measurable status.
01
Action
Client takes a beneficial financial action: deposit, follow recommendation, hold through volatility.
02
Recognition
The system tracks it automatically from linked accounts and in-app behavior. No forms.
03
Reward
Tier-appropriate prize: stocks, crypto, points, experiences, advisor concierge time.
04
Status
Visible progress to the next tier, unlocking better rewards and closer relationship.
Worked example
Sarah · Compounder · Q2 2026
Action
Sarah completes her annual TFSA top-up before the deadline. Third year running.
Recognition
Detected automatically from her linked CIBC chequing account. No claim needed.
Reward
+$200 in fractional stocks, plus a 'Steady Hand' badge added to her profile.
Status
Progress to Steward tier moves to 80%. One more year unlocks pre-IPO access.
Why it works
The reward Sarah unlocks is tier-shaped: stocks now, status next, pre-IPO at the top. The closer the relationship gets, the better the reward.
Alex McKenna-Ayres · April 2026 7 / 8
Q3 · Digital Advice Feature Priorities Axis · Wealthsimple Case

The top three digital advice features
I'd build for the client base.

For each: what it does and the problem it solves, why I'd prioritize it over the alternatives, and what 'done well' looks like in practice.
01
The Living Plan.
What it does · problem solved
Replaces the static financial plan PDF with a living card. Most plans are static, not dynamic. The Living Plan absorbs connected-account data, market moves, and tax/policy changes as they happen. Ask it 'what if I increase my TFSA top-up by $200/mo?' and it models the impact in seconds.
Why prioritize over alternatives
Highest impact on perceived value. Wealthsimple's product advantage is real-time data; the plan is the place to express it. Without this, the advisor relationship has no in-app artifact.
Done well looks like
Net worth and on-track status update overnight. Tax-law changes flag automatically. Any what-if returns a modeled answer in 5 seconds. Advisor edits show as 'updated by Marc' with timestamp.
02
The Feed.
What it does · problem solved
Re-ranking surface across Meetings, Tasks, and the Living Plan card. Today the average Wealth client sees no personalized advice in-app. The Feed re-ranks as markets, policy, and the client's own data shift. Ask any question and it explains why it ranked things this way.
Why prioritize over alternatives
It's the connective tissue. Without it, every other advice surface is an isolated card. The Feed gives the client one place to look — and a way to interrogate it.
Done well looks like
Top-ranked item is right 80%+ of the time. Client asks the feed a question at least once a week. Advisor sees the same feed prioritized for them.
03
The Membership Layer.
What it does · problem solved
Tiers the relationship with earned rewards tied to behavior. Most advice motions stop at the recommendation. Membership ties follow-through to visible reward.
Why prioritize over alternatives
Behavior change is the hardest part of advice. Differentiated against incumbents. Wealthsimple is uniquely positioned to ship a true earned-status layer.
Done well looks like
Client sees their tier and progress. Rewards arrive automatically (no claim form). Tier matches behavior, not balance.
Months 1–2 · Living Plan Months 3–4 · The Feed Months 5–6 · Membership Layer
Alex McKenna-Ayres · April 2026 8 / 8