رُشد

RUSHD

From ambiguity to adoption

Transformation consulting with AI fluency. Helping organisations navigate complexity across technology, process, and people — with clarity, not hype.

20+ years turning ambiguity
into working systems

Rushd is a solo consultancy led by Faraz Fookeer — Senior BA and Product Owner with two decades across buy-side and sell-side financial institutions, specialising in front-office systems, collateral management, fixed income, and repo trading technology. Currently completing an MA in AI Ethics & Society at Birkbeck, University of London.

The name Rushd (رُشد) means right guidance in Arabic — the capacity to discern the correct path through complexity. It reflects how I work: cutting through ambiguity to deliver systems that people actually use.

What I do

AI Readiness & Strategy
Assess where AI creates genuine value in your operations versus where it creates noise. Roadmaps grounded in your actual workflows, not vendor pitches.
Requirements & Product Ownership
Translate business intent into specifications engineers can build from. Stakeholder alignment, backlog structuring, acceptance criteria, and delivery oversight.
Process Transformation
Map existing workflows, identify friction, design target states. BPMN process modelling, gap analysis, and change management for teams adopting new systems.
Agentic Systems Design
Architecture and specification for AI agent workflows — tool selection, guardrails, human-in-the-loop design, evaluation frameworks, and deployment planning.
Data & Integration Strategy
System integration planning, data flow mapping, API strategy, and migration design. Making disparate systems work together without rewriting everything.
Vendor & Build Evaluation
Independent assessment of build-vs-buy decisions, vendor selection, and technology stack choices. No commissions, no partnerships — just honest evaluation.

Where I've delivered

JP Morgan
Front office technology
UBS
Investment banking systems
BNP Paribas
Trading & collateral
Credit Suisse
Front office BA
Barclays
Investment banking
Northern Trust
Asset servicing
Insight Investment
Cash & collateral
IOHK
Blockchain / Cardano

How I work

Clarity over cleverness
The best solution is the one people actually understand and use. I optimise for adoption, not elegance in isolation.
AI fluency, not AI first
I understand what AI can and cannot do. I bring that fluency to every engagement without assuming AI is the answer to every problem.
Honest evaluation
No vendor partnerships. No commissions. No incentive to recommend anything other than what actually works for your situation.
Adab
An Arabic concept meaning proper conduct and respect. I treat every engagement — every person, every system, every constraint — with the seriousness it deserves.

Selected work & builds

A mix of client-facing consulting artefacts and open-source builds from Rushd Labs.
Rushd Labs
Wraith
AI agent orchestration layer for web browsing. Structured extraction, workflow DAGs, and MCP server on top of headless browsers.
Shipped
BabyGPT
Educational LLM platform built from scratch in pure NumPy. Train transformers, visualise attention, fine-tune with LoRA. No PyTorch, no TensorFlow. Try it on Hugging Face
Shipped
LDI Crisis Simulator
Autonomous AI agents simulating the UK pension LDI crisis. GPT-4o agents generate market scenarios, detect insolvency risks, and execute trades across a 30-day loop. n8n, PostgreSQL, OpenAI.
Shipped
Rug-Pull Detector
Autonomous smart contract auditor. Analyses GitHub repos for rug-pull patterns in Solidity: hidden mints, honeypots, fee manipulation. Risk scoring 0-100. Python, FastAPI, React, Slither.
Specification Complete
Alcove
Desktop GUI installer wrapping OpenClaw for non-technical users. Tauri 2.0, React, TypeScript. "OpenClaw without the stress."
Demo
MidCap Alpha
Dual-mode React app: multi-agent Intel Mode with Research Analyst, Execution Strategist, and CIO synthesiser, plus Academy Mode equities curriculum.
Discovery
RepoAgent
Autonomous repo portfolio manager specification. £500M book, 12 tools, CTD logic, 8 simulated counterparties, Bloomberg-style terminal UI.
Discovery
Hedge Fund Simulator
Multi-strategy hedge fund with 4 PM agents + CIO meta-agent. $500M AUM, investment committee cycle, Bridgewater-style risk reports.

Let's talk


[email protected]
London, UK — Available for consulting engagements and advisory work