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Governance Design / Committee Intelligence / Agentic UX

Committee Board Agentic Application

A platform that transforms government proposals into structured, traceable decisions. From submission through analysis, voting, and documentation, every step happens in one seamless workflow without manual overhead.

Committee board application overview
Client
UnifyApps, Department of Government Enablement (DGE), Abu Dhabi Executive Office (ADEO)
Platform
Tablet (Primary) & Web
Timeline
Apr 2025 - Feb 2026
My role
Lead Product Designer

Engagement

Smarter experiences for government committee management.

I led the end-to-end product design of a platform that transforms how committees across DGE review proposals, deliberate, and reach decisions — representing ICD as the design partner for UnifyApps, working directly alongside Frog Design Agency and Nagarro Design. The platform replaces fragmented manual workflows with structured AI intelligence at every stage, from proposal ingestion through to resolution, serving every committee, department, and entity under DGE.

The Problem

Manual overhead. Decisions without context.

ADEO managed over 1,000 high-impact submissions monthly across its committees and the Executive Council. Proposals came through ECAS — digitally submitted, mostly in Arabic, as PDFs and presentations. But beyond submission, the process was entirely manual. Coordinators reviewed documents by hand, analysts drafted summaries independently, and approvals moved through multiple levels before a proposal ever reached the committee room — a process that took up to 15 working days. Four problems were structural:

Preparation took up to 15 working days

Coordinator checks, analyst review, and multi-level approvals before any proposal reached the agenda. Members arrived having skimmed documents sent hours earlier.

Five years of past decisions were unreachable.

Around 3,000–4,000 historical documents sat in ECAS with no way to surface a comparable case or relevant precedent during a live deliberation.

Absent members had no path back in

When a member missed a session, their input was gone — no async review, no vote, no record of their position.

Decisions left the room incomplete.

Minutes drafted manually, resolutions sent by email, action items in a separate system — nothing linked back to the original submission or the vote.

Discovery

Every decision validated. Every role accounted for

Research was a continuous process throughout the engagement — not a single phase. I gathered requirements directly from the client, worked through multiple versions and design iterations based on stakeholder feedback, and had direct conversations with various departments to understand their specific needs. The product team was involved at every stage, and every major decision was validated with the client before moving forward. Three user types emerged as the core of the design problem:

Committee Members

Need a structured briefing before each session — not raw documents. With 15 minutes per topic, there is no time to form a position in the room.

Secretaries

Spend most of their time preparing before and documenting after. The session itself is just the middle part of a long manual process they own end to end.

Observers & Admins

Need full visibility without the ability to act. Blurring this boundary creates either over-exposure or under-service — both break trust in the platform.

Design Strategy

Ingestion → Synthesis → Decision.

The platform automatically analyses every proposal before the session begins — generating a summary, strategic alignment score, ROI estimate, feasibility rating, and risk assessment — so members receive a complete briefing without any manual preparation. It also connects to a 5-year archive of historical committee decisions and policies, making them searchable in plain language during a live session. Everything surfaces directly in the view the member is already working in.

Analyse

Every proposal is automatically processed before the session — summary, scores, and opinions generated from the source documents before any member opens it.

Deliberate

During the session, members query 5 years of historical decisions in plain language and get sourced answers without leaving the meeting view.

Decide & Record

Voting, surveys, minutes, and action items are all captured in the same session — linked back to the original submission before the room clears.

Session Agenda

One view. Every session. Every decision that matters.

Members open the platform and see only their committees — the active session at the top, upcoming sessions below. Every proposal in the session is listed with its type, presenter, and ADEO representative, split clearly into For Information and Decision Making. I kept each member's view scoped to their own committees only. It made the moment of arrival simple and focused. The cost was that members with responsibilities across multiple committees had to access a separate view — a trade-off worth making because that need was the exception, not the rule.

Session agenda

AI Analysis & Session Briefing

Structured navigation. Intelligent briefing. One surface.

Selecting any agenda item opens a structured view — AI-generated summary, analysis, team opinion, and draft resolution — all prepared from the source documents before any member opens it. I placed the AI content at the top, not buried behind the raw documents. The cost was that trust had to be earned at the first moment of contact, with no separate explanation to fall back on.

AI analysis of a proposal
Session briefing

AI Assistant & Document Intelligence

Five years of institutional knowledge. Queryable in plain language.

The platform connects to a 5-year archive of 3,000–4,000 historical committee records and policies, searchable through a conversational assistant within the session view. A member can ask whether a similar proposal was previously approved and get a sourced answer without leaving the meeting. On tablet, the assistant and proposal content compete for space — I gave the proposal priority and kept the assistant collapsed by default.

AI assistant in the session view

Voting, Survey & Async Participation

Every voice captured. Every decision accountable.

Members vote through five explicit outcomes — Approve, Approve with Comments, Not Approved, Return for Committee, or Abstain — each requiring a documented reason before submission. Members who miss the session can vote and submit feedback across four dimensions after the fact. I made voting deliberately slow. Every option forces specificity — no rejection without a reason, no approval without attribution. The cost was friction. In government decision-making, that friction is the point.

Voting modal
Vote rationale
Async participation

Outcomes

Every proposal reviewed. Every decision ready.

Replacing a 15-working-day manual preparation cycle with automated AI analysis changed how fast committees moved, how confidently they decided, and how completely every outcome was recorded. The platform did not speed up the existing process — it replaced the parts that should never have been manual in the first place.

15 days → minutes
The entire pre-committee preparation chain replaced by an AI-generated briefing that arrives before the session begins.
3,000–4,000 docs
Five years of institutional knowledge — previously inaccessible during deliberation — now queryable in plain language mid-session.
1,000+ / month
High-impact government proposals managed monthly — each one analysed, deliberated, voted on, and documented within the same platform.
0 post-session drafting
Minutes, action items, and resolution drafts generated live during every session — complete before the room clears.

Reflections

In government AI, trust is the product.

This project taught me that AI alone doesn't create value—trust does. The platform supports decisions that influence public policy and resource allocation across Abu Dhabi, so every AI-generated insight had to be transparent, explainable, and easy to verify. Every design decision was made with one goal: helping people trust the system at the moment they use it.

AI should be clearly identified, not hidden.

AI-generated content appears first because it helps users get started quickly. But users should always know it was created by AI. A clear label builds transparency and helps people trust what they're reading.

Important decisions deserve thoughtful interactions.

Not every workflow should be fast. Government decisions have real consequences, so adding steps like a required vote, rationale, and permanent record encourages careful, informed decisions instead of rushed approvals.

People should always stay in control of AI.

AI can create the first draft, but people make the final decision. Keeping content editable and clearly marked as a draft ensures users can review, update, and approve it before it becomes an official record.