Year in Review
2026
Build squads
Features built, quarter by quarter
- DPM onboarding improvements
- Transactions in the 360 pages
- Team list — advisor
- Client metrics page
- Create order & order book
- Maker–checker flow
- Trading compliance
- CIO views into the advisor
- Mid-office dashboard
- AI — news, portfolio highlights, notifications
- Marketplace module
- Generic portfolio onboarding
- Opportunities v2
- Opportunities v3 + config (TG)
- Delegation of clients
- Reportee KPIs & dashboard
- Trading improvements
- Approval hierarchy — Alinma trading
- Alinma segments & team tenant mgmt
- Trade rebalancing
- Financial planning — goals & projections
Support extended, squad by squad
New squads, in detail
- AI Hub — redesigned dashboardai-hub-prototype.pages.dev ↗
- AI Agent V2advisor-ai-agent-v2.pages.dev ↗
- AI Agent V3 — canvasai-agent-canvas-v3.pages.dev ↗
- AI Nudges — concept showcaseshowcase ↗
- Performance & highlights
- News brief
- Investment insights
- Canvas experience
- Post-meeting notes
- Application pack
- Households — v1 & v2
- UI improvements from client feedback
- Ad-hoc reporting
- Reinstating accounts, clients & parties
- Transactions across the book of business
- Advisor home#1777
- Client & account lists#747 #752
- Client 360#887 #1758 #1825 #1885
- Portfolio 360#1788 #1882
- Margin & facilities#1807 #1809 #1811
- Trading — order hub#1957
- Bulk orders#1964 #1993 #2011
- Meeting notes drawer#1868
- Tenant theming#1826
- Opportunities#2039
- Shariah — purification & Zakat#2079 #2099°
Design QA, every quarter
- Alinma · Q1 scopeALPM-21073 ↗
- Alinma · Q2 scopeALPM-23669 ↗
- Alinma · Q3 scopeALPM-38493 ↗
- Alinma · Q4 scopeALPM-54829 ↗
- AI Agent core interaction — design QAALPM-43724 ↗
- AI chat in the Agent Hub — testing feedbackAT-6691 ↗
- AI chat UI polish, round 2 — match the designsAT-6740 ↗
- Design review punch list — non-UI findingsAT-6833 ↗
- AI chat UI facelift — third passAT-6926 ↗
Backlog resolved, quarter by quarter
- Home & intro matched to Figma#334 #340 #343 #345
- Goal wizard & robo onboarding#396 #403 #408
- AI agent design passes & cards#409 #412 #413 #436 #440 #480 #492
- Catalogue, suggested home & profile#415 #420 #423 #414*
- Chat cards, chips, splash & polish#422 #520 #547 #566 #426 #428 #568
- AI chat — goal creation carousel#889
Initiatives & AI workflows
The EDS, faster with shadcn
AI Hub
The advisor’s AI home, redesigned — insights, briefs and actions on one page.
live · password ↗Application pack AI
Pershing — upload client documents and the assistant fills the onboarding pack.
live ↗A design workflow, end to end
Ideation
benchmarks & journeys
Interactive prototype
17 live demos
Design QA
Figma vs the built UI
A report engine, as a skill
- 01Pick the bank brand
- 02Choose the report & language
- 03Generate in Figma or HTML
- 04Self-check against 17 rules
- Contents match every page
- Consistent spacing & tables
- Correct currency & decimals
- Bilingual EN / AR
- FAB preset — or any bank
- Portfolio report · client statement
- Fund factsheet · custom reports
- Figma · HTML · PDF
Investor AI agent, presented to the board
An AI agent built into the investor app — it knows the investor, answers questions, trades and sets goals.
- 01Knows you
- 02Ask anything
- 03Trade
- 04Voice
- 05Goals
- 06For you
- 07Portfolios
- 08Explore
- 09News recap
- 10What-if scenarios
- 11Alerts & watchlist
- 12Robo onboarding
Advisor AI agent, presented to the board
The advisor’s chat that opens into a working canvas — artifacts, tables and follow-ups.
- 01Performance — TWR
- 02Drift & rebalancing
- 03Trades
- 04Meeting notes
- 05Next-best actions
- 06Create a task
- 07News brief
- 08Investment insights
- 09Plan my week
- 10Book search
- 11Client summaries
- 12Holdings & risk
- 13Stock compare
- 14Watchlists
Skills & leadership
Design leadership, across two squads
Set the direction
Shaped the design direction for each squad — the problems to solve and the quality bar to hit.
Clear ownership per squadPlan key features
Broke down key features together — scope, priorities and design approach before work started.
Scoped before designSync & feedback
Regular syncs and design reviews, with structured feedback at the end of every quarter.
Quarterly feedbackAlign & deliver
Kept design in step with product and engineering — so their features shipped on time.
On-time deliveryTwo weeks, two interns
Two students designed a fintech wallet for UAE teens — from research to a working prototype. I built the programme and mentored the design phase.
- 01Days 1–3 · Research — mentored by Mai
- 02Days 4–6 · Design & build — mentored by me
- 03Toolkit — Claude, Claude Code, Notion, FigJam
- 04Persona, insights & How Might We questions
- 05A working prototype built with Claude Code
- 06Final presentation to the Alpheya team
Critiques that raise the bar
prototypes/year-review-assets/ai-agent-critique-board.png
WealthTech, in depth
- Trading — user interviews
- AI — investor interviews (IDIs)
- UK — research interviews
- Investor app — UX audit & benchmarkreport ↗
- Wealth app UX — MENA & globalMENA ↗global ↗
- Application pack UX — Pershingresearch ↗flows ↗
- Household creation — Wovebenchmark ↗
From design to code
Ran a 2-hour hands-on session that took the design team from zero to working with GitHub and Claude Code — on a deck I built.
Telling Alpheya's story
A working marketing-site prototype — the platform story, product pillars and AI capabilities told as a public website.
Built as a guide for the marketing and sales teams: the narrative, sections and motion ready to present and reuse.