LAUNCH LAYER
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AI Operating System for
ERP Transformation

Reducing implementation timelines by 30-50% by automating requirements, testing, integration mapping, and change management.

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The Transformation Bottleneck

Extended Timelines & Manual Effort

Standard implementations drag on for 9-24 months. Documentation and UAT testing rely heavily on slow, error-prone manual processes.

High Risk & Scope Creep

Data migration and integrations introduce major risk profiles. Scope creep consistently bloats budgets and delays critical go-live dates.

TYPICAL 18-MONTH ERP TIMELINE Discovery 3 months Requirements + BRDs 4 months manual Build + Config 5 months UAT + Testing 4 months manual Go-Live 2 months TIME DRAIN 60% of project time is spent on documentation and testing. SCOPE RISK Scope creep detected late — avg 35% budget overrun. GO-LIVE RISK Critical integration and data gaps found too late to fix. 9-24 months | $2M-$15M | 70% over budget or late

Launch Layer delivers expert implementation across the world's most critical enterprise platforms, from initial rollout to full-scale optimization.

The Launch Layer Architecture

  • Intelligent Ingestion AI parses raw workshop transcripts, process maps, and legacy APIs to extract structured deployment requirements.
  • Automated Artifact Generation Instantly auto-generates Business Requirements Documents (BRDs), Functional Specs (FSDs), and mapped UAT test scripts.
  • Predictive Telemetry Embeds risk prediction models directly into the project lifecycle, flagging structural scope creep in real-time.

Platform Stack

1. Data Inputs

Transcripts • Process Docs • Legacy DBs • APIs

2. Launch Layer Engine

Knowledge Graph + Risk Intelligence Layer

3. ERP Targets

SAP S/4 • Oracle Cloud • Workday

AI-First Is the Strategy. Execution Layer Is the Moat.

Launch Layer is built to sit between discovery and delivery, where teams create and approve the work that determines project outcomes.

  • AI-first speed: drafts in hours, not weeks.
  • Human-trusted outputs: review and approval are built in.
  • Compounding moat: each project improves the next one.
Inputs Docs + Data + Workshops AI Draft BRD / FSD / UAT / Map Review Approve + Correct Compounding Value Faster next project, lower rework, stronger SI margin

Measure the Impact

BRD Creation
3 Weeks
Test Scripts
4 Weeks
Integration Maps
Manual
Scope Discovery
Late Phase
Go-Live Risk
High