Case Study
Follow Sarah, a wealth advisor, as she onboards a new client with seven equity grants across two companies — and builds a multi-year trading plan using Gemifi.
The Scenario
David is a senior engineer at a publicly traded tech company who also holds equity from a previous private-company stint. He walks into his first meeting with a stack of grant documents, broker PDFs, Carta screenshots, and a vague memory of his vesting schedules. ISOs, NQOs, RSUs across two companies — and no clear picture of what he owns or what to do with it.
This is exactly the mess Gemifi was built to untangle.
On Screen
The workflow is only useful if the client can immediately see the payoff. Gemifi turns the intake work into a dashboard and a plan configuration view Sarah can walk through live with David.
One view of the full equity picture
Once the imports are reconciled, Sarah can sort every grant, lot, vesting event, and value driver in a single dashboard instead of stitching together screenshots and spreadsheets.
Planning guardrails stay explicit
David's plan constraints stay visible while the optimizer runs, so the strategy conversation stays grounded in actual AMT, timing, and legacy-hold limits.
Phase 1
David walks in with a banker's box of grant documents, broker PDFs, Carta screenshots, and a vague memory of his vesting schedules. Sarah creates his client record, links his two employers from the shared company library, and moves straight to import.
Phase 2
Sarah drags David's files into the AI Import drop zone — an E*Trade CSV, a legal award PDF, and a screenshot from his broker app. The AI reads everything, cross-references sources, extracts all seven grants with full vesting schedules, and asks Sarah targeted questions only when there's genuine ambiguity.
Phase 3
With all grants imported, Sarah has a comprehensive equity dashboard for David — organized by company, showing every grant, every lot, every vesting event. This is the "swivel the monitor" moment where David sees exactly what he owns, what's vesting when, and what it's all worth.
Phase 4
Sarah configures a 5-year plan with David's AMT cap, legacy hold target, and growth assumptions. Gemifi's plan engine runs a multi-step optimization — analyzing exercises, prioritizing tax-efficient sales, enforcing AMT constraints, and generating a concrete, sequenced action schedule.
Phase 5
Sarah builds a second plan with more aggressive assumptions and opens the side-by-side comparison. Now the strategic conversation gets concrete: "Here's what happens if we exercise aggressively and eat the AMT this year. And here's what happens if we spread it out. The net difference over 5 years is $X."
Phase 6
Six months later, David has a new RSU grant. Sarah uses Quick Add right in the meeting — selects the company, picks a vesting template, enters the details, and the dashboard updates instantly. When tax season arrives, Gemifi produces lot-level records with cost basis, holding periods, and gain classification ready for the CPA.
The Difference
Manual PDF transcription into spreadsheets
AI Importer extracts grants from any document in minutes
Scattered records across broker platforms
Unified dashboard — every grant, company, and lot in one place
Back-of-napkin exercise timing
Trading plan builder with AMT caps and multi-year projections
"Trust me, I did the math"
Side-by-side plan comparison with quantified tax impact
Tax-season data scramble
Lot-level tax records ready for the CPA
Advisor-specific spreadsheets that can't scale
Shared platform with RBAC, audit trail, and consistent data
Meeting Outcome
Inventory
Every grant is imported, normalized, and tied back to the underlying documents.
Strategy
Sarah can explain a recommended sequence of exercises and sales with tax tradeoffs in plain English.
Follow-Through
The plan lives in a system the whole advisory team can revisit as grants, prices, and life events change.
See it for yourself
We'll walk through data import, scenario modeling, and reporting using a representative client profile — or your own anonymized case.
