Build an AI-Powered Investment System for your Fund
Awa Moamar
Digital Business Builder & PE DD Expert
Muzahid Hussain
AI/ML Leader, Tech Entrepreneur
Stop manual diligence. Build an AI-native investment Operating System.
If your workflow looks the same as it did 12 months ago, something is very wrong. Stop repeating manual work. Start operating with AI agents.
AI-first funds screen and evaluate 3–5x more deals
Associates who structure AI workflows, spend time on judgment, not formatting
The Before/After transformation you can expect
Before: You spend 20+ hours/week manually triaging emails, parsing data rooms, and drafting memos that miss critical signals
After : You run one command that extracts data, simulates an IC-style debate, and drafts your first memo while you focus on final judgment
What you’ll learn
This is not a theory session. You will design and prototype real AI-native workflows for investments.
Learn how to structure your entire investment process—from sourcing to reporting—using a Product Manager mindset
By the end, you’ll have a repeatable workflow that reflects how your firm evaluates opportunities and makes decisions
Turn pitch decks, emails, data rooms, and updates into structured insights automatically
Replace copy-paste analysis with AI-generated summaries that are organized and decision-ready
Create reliable workflows for deep analysis and portfolio monitoring using tools like Claude Code for reasoning and OpenClaw for monitoring
Translate your thesis, evaluation criteria, and decision framework into reusable AI instructions
Get a practical overview of how to build trustworthy AI workflows—covering auditable decision trails, secure data handling, and governance
Who this course is for
You’re an investment lead drowning in data rooms with dozens of decks and need to scale evaluations without missing the next outlier.
You’re an MBA candidate who wants to stand out in AI-native investment roles by designing AI-powered workflows, not just prompting ChatGPT
You’re a CFO or operations lead replacing manual trackers and reactive reporting with a proactive system that monitors portfolio health
Prerequisites
No Technical Background Required
The course is designed so you can build real AI-powered investment workflows using simple commands.
Familiarity with Investment Workflows
The course is most valuable if you have some exposure to investing, startups, or financial analysis.
Curiosity About AI and a Willingness to Experiment
The only real requirement is curiosity and a willingness to learn. You’ll get the most out of the course if you’re open to experimenting
What's included
Live sessions
Learn directly from Awa Moamar & Muzahid Hussain in a real-time, interactive format.
Terminal-Ready Agents
Get our "2026 Agentic Blueprint" bonus library. Instantly deploy pre-built agents for rapid deal screening and portfolio monitoring.
Hands-On System Building
This isn't theory. You will design, prototype, and deploy real AI-native workflows using plain English—absolutely no coding required.
60-Second Investment Memos
Build extraction pipelines that turn unstructured pitch decks and data rooms into draft memos with 99% accuracy in under a minute.
AI Governance & Security Roadmap
Learn the zero-trust security and auditability standards needed to confidently defend your AI-driven decisions to your board.
Elite Peer Network
Connect with high-volume investment leads, CFOs, and founders who are actively building the human-machine teams of the future.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
4 live sessions • 4 lessons
Week 1
Apr
14
Session 1
Tue 4/144:00 PM—5:00 PM (UTC)Optional
Module 1: Understanding the Gap
Module 2: From Unstructured Chaos to Intelligence
Apr
17
Session 2
Week 2
Apr
21
Session 3
Tue 4/213:00 PM—4:00 PM (UTC)Apr
24
Session 4
Fri 4/244:00 PM—5:00 PM (UTC)Optional
Module 3: Build your first autonomous AI agent
Module 4: Move from individual automations to an AI native investment system
Schedule
Live sessions
10 hrs / week
Two live session of 1 hour each
Fri, Apr 17
4:00 PM—5:00 PM (UTC)
Tue, Apr 14
4:00 PM—5:00 PM (UTC)
Tue, Apr 21
3:00 PM—4:00 PM (UTC)
Fri, Apr 24
4:00 PM—5:00 PM (UTC)
Projects
2 hrs / week
Async content
1 hr / week
Frequently asked questions
$800
USD
2 days left to apply