Decade Advisory Tool
An AI-powered advisory tool for the underserved middle.
The product is human-led advisory with AI as the infrastructure that makes the advisor's work institutional-grade and scalable, built for the US$1M–10M client who has an advisor, pays for advice, and still receives product distribution instead. Seven parts follow; each links below.
The middle segment pays for advice and gets distribution. The Banco Master case is the proof at scale. AI changes the economics of customization.
Two users only: advisor and client. The client must feel heard before they are advised. Friction must earn its place. The investment team is the backbone.
Seven stages from pre-call prep to the ongoing relationship, AI embedded throughout, visible only when it makes the advisor's work better.
One Source of Truth, two interfaces, the Engine (advisor) and the View (client), and an investment-team backbone. Everything else is derived.
Revealed risk, four portfolio layers, a deployment waterfall, multidimensional concentration, and a benchmark reframed to IPCA + 4–5%.
The Mirror Summary, the Plan Document, the Crossroads, and the Behavioral Covenant: what the client actually experiences.
Capacity reaches 150+ clients at higher quality per client, compliance falls out of the workflow, and an AI training flywheel compounds the advantage.
The Gap.
The Brazilian advisory market serves most clients poorly, in three different ways, depending on where the client sits.
No advisory at all
The individual is on their own: whatever the branch offers, the algorithm surfaces, or they learn themselves.
Product, dressed as advisory
Has an advisor. Pays for advice. Does not receive it. A book of ~250 clients, under an hour each per month.
The family office
Works, but is expensive and infrastructurally complex, and demands dedicated staff most would rather not own.
Why the middle is broken
At ~250 clients per advisor, even at full capacity there is less than one hour per client per month: no time to model credit risk, stress-test concentration, or decide whether an instrument belongs in a portfolio. The result is a distribution machine with advisory language layered on top.
How AI changes the economics
AI makes institutional-grade customization economically viable at a segment that could not support it before. The work that used to need several junior analysts at a family office (reconciling statements, building a balance sheet, mapping concentration, modeling liquidity, drafting theses) can now be done by a model, reviewed by a senior advisor, and delivered at a quality that previously required a US$50M minimum. The advisor is no longer the constraint on customization. The constraint moves to what genuinely needs human judgment: building trust and holding the relationship through volatility.
The Brazilian high-income reality
Entry point and trajectory
The entry point is where the pain is sharpest. The same architecture then extends in both directions.
Thicken the human layer
Same tool, more service density: succession, alternatives, life-encompassing advisory.
The validation segment
Where the model is proven: advisor-led, the improvement over the status quo most dramatic.
Thin the human layer
AI-first by default, a personal financial operating system.
Design Principles.
Four principles govern every decision in the tool.
Two stakeholders only: the advisor and the client.
The discipline is to refuse stakeholder creep. Compliance is a byproduct of good practice, not a module; the investment team operates behind the universe, not on top of the advisor. What remains is two interfaces: the Engine (dense, for the advisor) and the View (calm, for the client).
The client must feel heard before they are advised.
The tool earns the right to recommend. It comes after the client has told their story, seen it restated in plain language, been asked questions that prove the advisor listened, and read a Plan Document that opens with their words. The advisor never says "the model says."
Fluidity: friction must earn its place.
Some friction is legitimate (regulation, confirmations before irreversible actions). The principle is not to eliminate friction but to ensure it earns its place. The system suggests; the advisor decides; the client experiences care, not bureaucracy.
The investment team as backbone.
The infrastructure that makes recommendations defensible, via four functions: product curation (the approved universe), philosophy backbone, active opportunity surfacing, and AI training for portfolio construction.
The Client Journey.
Seven stages. The AI is embedded throughout (from Stage 0), visible to the client only when its presence makes the advisor's work better.
The first conversation: nine inputs
The advisor leaves with these, captured through natural conversation: seven core, plus tax, plus the mental benchmark.
Wealth source & trajectory
Where it came from, where it is going
Time horizon
When the money must start working
Income stability
How predictable the cashflow is
Concentration
Any position large enough to dominate the balance sheet
Loss tolerance
The number at which they would act
Life events
Exit, inheritance, purchase ahead
Near-term liquidity
Cash the portfolio must supply in 6–24 months
Tax exposure
Regimes, structures, offshore in place
Mental benchmark
What "doing well" is measured against
Stage 4: how a recommendation is built
Four parallel analyses
Risk, liquidity scenarios, concentration, and cost & tax, run before any recommendation.
Built on the approved universe
Position by position, each with a thesis. Anything outside it escalates to the investment team.
Advisor review & override
Accept, modify, or reject: every override logged with reasoning, the AI's original kept.
Transition planning
A phased roadmap around illiquidity and psychological barriers, paired with the Behavioral Covenant.
Tool Architecture.
One Source of Truth, two interfaces, and an investment-team backbone. Everything else is derived.
The Engine: the advisor's interface (six surfaces)
Workbench
The default surface: profile, conversations, artifacts, and the discrepancy queue.
Recommendation Builder
Where the portfolio is constructed, reviewed, and overridden, with the four analyses behind it.
Pre-call Brief
What changed since last touch, prioritized questions, read in the last fifteen minutes before a call.
IT Feed
The approved universe, active views, escalation queue, and philosophy, live, no refresh needed.
Client Thread
A mirror of what the client is doing in their View: scenarios run, sections re-read, behavioral flags.
Audit Trail
Every change, recommendation, override, and version, timestamped, with authorship and reasoning.
The View: the client's interface (four surfaces)
Plan Document
The full deliverable, and the default surface, where most clients spend their time.
Live Dashboard
Current state at a glance, no KPI without context. Read-only.
Scenario Builder
The most consequential surface: "what if" made answerable, live. Curated by the advisor; never executes.
Communication Layer
Deliberately minimal: the channel is the client's choice (often WhatsApp); the record is the tool's responsibility.
Three roles, defined handoffs
Pre-call briefs, transcript extraction, profile drafting, document validation, balance-sheet & P&L construction, the four analyses, recommendation drafting, and continuous monitoring.
The first conversation, judgment on what the inputs mean for this client, the override, delivery of the Plan Document, the high-stakes Crossroads, and the relationship.
The approved universe, the firm's philosophy, active opportunity views, and the training signal that improves the AI.
The Recommendation Logic.
Built from a small set of principles, applied consistently, visible at every step to the advisor.
Risk: what the client does, not what they say
Behavioral history
Capacity for loss
Mental benchmark
Stated tolerance
The portfolio, in four layers
6–12 months of obligations, same-day liquidity. Sized up for variable income, high illiquid concentration, near-term events.
Extends protection from months to years: NTN-B (intermediate duration) and high-grade credit.
The residual after layers 1–2. Globally diversified by default; Brazilian equity a deliberate active position.
Bounded, only on an active investment-team view, sized so being wrong never damages the plan. Most clients have none.
The waterfall: where the next R$50,000 goes
Time-horizon allocation
| Horizon | Growth starting point | Construction direction |
|---|---|---|
| < 3 years | 100% fixed-income biased | Add equity only with strong capacity + tolerance |
| 3–7 years | 30–50% equity-biased | Calibrate equity weighting against constraints |
| 7–10 years | 50–70% equity-biased | Equity-biased default; reduce on binding constraint |
| 10+ years | 70%+ equity-biased | Binding constraint reduces from this base |
Concentration: multidimensional
A single Brazilian bank stock is concentrated three ways at once. Each dimension is measured independently and calibrated to its own nature.
Security
The tightest line: single-company risk does not diversify away.
Sector
More room: names within a sector retain some internal diversification.
Illiquid
Judged against the liquidity reserve, not punished outright.
Geographic
The most permissive line, and the one almost every Brazilian client already sits well past.
When a line is crossed, the response escalates, graduated, not binary:
Documented and raised at the next touchpoint. Baseline unchanged.
Allocation modified to reflect the exposure. Advisor action logged.
The portfolio is built around the position, not despite it.
The exact thresholds live in the tool's configuration, calibrated per profile, not in the client conversation. A calibration detail, kept off the table so the conversation stays on the risk.
Diagnostic lenses: where to probe, by background
Pattern-recognition priors: certain wealth origins reliably carry certain hidden risks. The lens guides attention, then recedes once the real numbers are in.
Equity-compensated executive
Employer-stock concentration, income-portfolio correlation, vesting and lock-ups, behavioral attachment.
Business owner before exit
The business as dominant illiquid asset, unquantified guarantees, liquidity bridge, sale timeline.
Post-exit founder
Idle cash without a plan, reinvestment-cadence risk, unsettled tax events, builder-to-steward shift.
Inheritor
Decision confidence, emotionally-weighted legacy positions, family governance, first-volatility overreaction.
Real-estate-heavy
Illiquid concentration, embedded leverage, rental-income instability, compounded geographic exposure.
Scattered accounts
No consolidated picture, unseen fees and tax drag, distributed-not-chosen positions, no architecture.
Cost- and tax-aware positioning
Not tax advice, but cost and tax are built into construction from the first recommendation, not added as an afterthought.
- Embedded fees. Surfaces what the client actually pays (distribution fees, management fees, hidden spreads) and judges every position net of them.
- Asset location. Models the tax drag of the same exposure held different ways (BDR vs direct US equity).
- Tax-loss harvesting. Flags opportunities, scheduled around the Brazilian tax calendar.
- Structural cost analysis. Models holding-company (PJ) versus direct, escalated to the advisor, validated with the client's tax counsel.
- BACEN-CBE compliance. Tracks the reporting calendar for offshore assets above the threshold.
Client Deliverables.
What the client experiences is a sequence of deliverables, each calibrated to a stage of the relationship.
The Mirror Summary
One page of plain prose, in the client's own language, signed by the advisor. They open it expecting a generic email and find proof that someone was paying attention, and never see the AI's hand.
The contextual document request
Framed against the client's own words, never a checklist: "Because you mentioned equity compensation…" Honest about the tedium; the 360° view is the goal.
The Plan Document: eight sections
The central deliverable, regenerated after every material update and version-controlled. The structure is the same for every client; the content is entirely specific to them.
The Hero
One page: the client's story, the headline numbers, and a preview of every section.
The Snapshot
Where they stand today and the trajectory that produced it, concentrations made explicit.
The Audit
Embedded fees, dead positions, tax inefficiencies, and concentration they did not know they had.
The Blueprint
The recommendation, position by position with rationale, and the transition path.
First Moves
The immediate actions, sequenced: the bridge from today to the Blueprint.
The Flow
The waterfall, made explicit, where the next R$50,000 of savings goes.
The Crossroads
Analytical frameworks for the major decisions the client is navigating.
The Horizon
Where the plan leads under a base case and two scenarios.
The Crossroads: decisions, framed before they arrive
The closing principle: the client decides; the plan adapts.
Business exit
Full sale, partial sale, secondary, IPO: each with its own portfolio, tax, and deployment timeline.
Education funding
Funding paths modeled against realistic cost scenarios, well in advance of the need.
Inheritance & structure
Structural alternatives, their tax implications, and what each signals to the next generation.
Liquidity events
The post-event balance sheet and deployment path, built before the event, not under time pressure.
Real estate decisions
Financing alternatives (cash, mortgage, offshore credit line, consórcio) in expected-value terms.
The Behavioral Covenant
Most portfolio failure in this segment is behavioral, not analytical. A plain-language agreement, signed while it is calm, for how the portfolio is held through volatility.
A calibrated description of what the portfolio could lose in historical-event scenarios, in BRL and USD, not just percentages. The worst case is anticipated, not hidden.
No position sold in a drawdown without an advisor call first; no major change without 48 hours of waiting; no media-driven decisions.
Outreach at defined drawdown thresholds and concentrated-position events. The cadence increases under stress; it is not optional.
IPCA + 4–5% over a rolling 10-year window, the floor the plan clears, not the ceiling. A year of CDI outperformance is not a signal to act.
What we do if the portfolio drops 20% in a year; if a concentrated position falls 40%; if a recession is declared; if the real strengthens mid-diversification.
Why This Works.
The case rests on three claims.
1 · Advisor capacity scales without compromise
To serve clients with any real quality, the strongest high-income (alta renda) advisor today caps the book near 150, and even there the depth is limited. Push toward the ~250 the segment treats as normal and the advisor stops advising: reconciliation, document gathering, spreadsheet construction, and position monitoring consume the hours that judgment and relationship require. The Decade model places that entire workload on the AI, so the advisor carries 150 or more and gives each client materially more depth, breaking the trade-off between book size and quality.
2 · Compliance as a natural byproduct
Most platforms bolt on compliance modules that slow the advisor down. Here, compliance falls out of the workflow: every recommendation has a documented thesis, every override is logged with reasoning, every conversation produces a transcript, and the Source of Truth is version-controlled by architecture. When a regulator asks why a recommendation was made and who approved it, the answer already exists in the form it was created. There is no separate compliance workflow because the requirement is already met by the work itself.