AcquiAtlas
The M&A Deal Operating System
Client
AcquiAtlas
Year
2024–Present
Role
Founder · Product Strategy · Data Architecture · AI Systems Design
At a Glance
70%
Time Saved
3x
Deal Velocity
+85%
Team Efficiency
8
Core Modules
Context
Independent investors and small funds relied on spreadsheets, emails, and PDFs to evaluate deals—resulting in slow decisions, inconsistent underwriting, and lost opportunities. The M&A process spans sourcing through integration, yet most teams cobble together 10+ disconnected tools with no shared source of truth.
Problem
- 01Fragmented deal data across multiple disconnected tools
- 02Manual diligence workflows causing costly delays
- 03Inconsistent valuation logic and no audit trail
- 04No time-travel visibility into deal state history
- 05External collaboration friction with sellers and brokers
- 06Post-close integration left to hope rather than systems
Approach
How we tackled the problem.
Architected 8 core modules: Deal Management, Deal Analysis, Due Diligence, Negotiation, Virtual Data Room, Tasks & Workflow Automation, Communication, and Post-Integration
Event-driven core: upload doc → extract → classify → map fields → update dashboards → generate memo deltas
Permission-first design with object ACLs, audit trails, and share policies
Explainable AI with citations to source doc/page/row, confidence scores, and 'what would change my mind' transparency
Solution
What we built.
Deal Management: Kanban pipeline, relationship mapping, stage auto-advancement with artifact detection
Deal Analysis: Financial ingestion, COA mapping, adjustment workbench, valuation studio with sensitivity narratives
Due Diligence: Template-driven checklists, auto-matching docs to requests, contradiction detection, completeness scoring
Negotiation: LOI/PSA workflows, clause risk scoring, redline hub, negotiation simulator
Virtual Data Room: Permissions matrix, watermarking, audit analytics, auto-foldering, redaction assistant
Workflow Automation: No-code builder, critical path tracking, auto-task generation from meetings
Communication: Deal room chat, threaded comments, email sync, meeting copilot
Post-Integration: Day 0-180 blueprints, synergy tracking, KPI cadence, lessons-learned compiler
Results
Measurable outcomes from the engagement.
- ✓~70% reduction in time to first-pass deal evaluation
- ✓Institutional-quality output from smaller teams
- ✓One-click IC pack generation with full audit appendix
- ✓Proof-backed intelligence: every metric has source, confidence, freshness, and approval status
- ✓Firm-wide learning loop: outcomes feed back into risk models and templates
Learnings
What I took away from this project.
AI earns trust through transparency and citations
Playbooks as code: stage definitions, templates, and workflows should be versioned artifacts
Structure outperforms sophistication—systems beat heroics
Every claim needs a source; unsupported add-backs get excluded
Tech Stack
Let's build something.
Interested in working on a similar challenge? I'd love to hear from you.
Get in Touch