LAUNCH LAYER
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An AI layer that sits
above your ERP landscape

Launch Layer doesn't replace any system in your stack. It reads your entire application landscape, maps every integration, flags risks before they become surprises, and auto-generates the documentation your transformation needs.

Whether you're migrating 5 systems or 50, the same automation applies. Upload your first document and get structured output in minutes.

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How It Works

Four steps from raw documentation to transformation-ready artifacts.

1

Ingest

Upload meeting transcripts, process docs, architecture diagrams, data exports, and legacy system documentation. Any format.

2

Map

AI identifies every system, every integration point, and every field-level connection. Builds a living catalog of your landscape automatically.

3

Generate

Auto-produces BRDs, functional specs, integration mappings, and UAT test scripts. Ready for human review, not a blank page.

4

Monitor

Tracks transformation progress in real time. Flags scope changes, data quality issues, and go-live readiness as the project evolves.

Architecture in Action

This is a real enterprise landscape: 40+ systems, 4 ERP instances, 6 middleware layers, 5 geographic regions. Launch Layer sits above all of it as an intelligence layer.

Launch Layer Architecture Diagram — showing AI intelligence layer above a multi-tier enterprise application landscape with 40+ systems

Ingests from every tier

Reads documentation, data exports, and API specs from core ERPs, middleware, and every connected business application. Nothing is out of scope.

Maps between all systems

Auto-generates field-level integration maps. Identifies format mismatches, data model differences, and transformation rules needed for migration.

Scans and flags risks

Detects multi-ERP fragmentation, non-standard data formats, missing fields, and compliance-critical systems that haven't been addressed.

Core Capabilities

Each module works independently or together. Start with what you need.

Module 1

Document Intelligence

Ingests raw workshop transcripts, process maps, legacy documentation, and BRDs. Extracts structured requirements and produces deployment-ready artifacts automatically.

In practice Upload a 90-minute workshop recording. Launch Layer produces a structured BRD with field-level requirements, decision log, and open items — ready for stakeholder review, not a blank template.
Module 2

Integration Mapping Engine

Auto-maps field-level connections between source and target systems. Identifies format mismatches, data type conflicts, and generates transformation rules.

In practice Mapping a Salesforce-to-SAP integration? Launch Layer reads both schemas and generates the spec: Salesforce.Account.BillingAddress → SAP.BP.ADDR1_DATA Including currency conversion rules for LATAM accounts and date format transformations per region.
Module 3

Risk and Scope Detection

Scans legacy data exports and architecture documentation to find issues before they become expensive surprises. Monitors scope continuously throughout the project.

Day 1 output from a real landscape "CRITICAL: 4 separate ERP instances detected across locations. Infor Visual (Melbourne FL) uses a fundamentally different data model than Infor LX. Customer table contains 5 distinct date formats. TradeSphere (compliance-critical) has not been addressed in the migration plan."
Module 4

Migration Telemetry

Real-time dashboard tracking transformation progress across every system and integration. Surfaces go-live readiness, test coverage gaps, and scope changes as they happen.

In practice Instead of a status meeting to learn that integration testing is behind, you see it in the dashboard the moment a dependent system mapping falls out of sync. No waiting for the weekly report.

Concrete Deliverables

Not dashboards for the sake of dashboards. These are the artifacts your project actually needs.

Business Requirements Documents

Auto-generated BRDs from ingested meeting notes and process documentation. One per system or integration.

Functional Specifications

Field-level FSDs with data types, transformation rules, and validation logic for every mapped connection.

UAT Test Scripts

Generated from requirements and mappings. Each script validates a specific data flow end-to-end.

Integration Maps

Field-level mapping specs between source and target systems with format conversion rules flagged.

Risk Reports

Data quality issues, format conflicts, missing fields, and compliance gaps — surfaced on Day 1, not Month 8.

System Catalog

Living inventory of every system, its criticality rating, integration dependencies, and migration status.

Data Quality Analysis

Scans exports for duplicate records, inconsistent formats, orphaned references, and missing required fields.

Transformation Dashboard

Real-time telemetry on migration progress, test coverage, scope changes, and go-live readiness.

Built for Real Complexity

Here's what a typical mid-market manufacturer's application landscape looks like. Launch Layer catalogs and maps every system in it.

CRM & Sales

CRM Platform CPQ Platform Partner Portal Sales Automation

Finance & Accounting

Financial Consolidation Fixed Asset Mgmt Lease Accounting Regional Accounting AP/AR Subledger Cloud Finance Suite

HR & Workforce

HCM Platform Expense Management Time Tracking Payroll System Attendance System

Manufacturing & Shop Floor

MES Production Planning Shop Floor Scheduling Serialization Machine Monitoring SCADA Platform

Quality & Compliance

Quality Management Inspection Workflow Trade Compliance Calibration System Labeling Platform

Integration & Middleware

iPaaS Layer API Gateway Message Bus Data Warehouse Reporting Add-in

Engineering & PLM

PLM Platform PDM Vault CAD Suite Engineering Change Mgmt

Shipping & Logistics

Multi-Carrier Shipping Logistics Control Tower Document Distribution Fulfillment Platform

Document & Asset Management

Content Repository CMMS Platform Collaboration Workspace Operational Dashboard

Your landscape might be simpler — that's fine. A company with 5 systems and 1 ERP gets the same automated mapping, risk detection, and document generation. Launch Layer scales to the complexity you have, not the complexity you don't.

Why Launch Layer Wins

Three connected loops make this more than a generic AI feature: trusted delivery workflow, learning moat, and measurable project economics.

1) AI-First Delivery Loop

Speed from AI draft, trust from human approval, and better output every cycle.

  1. Raw Inputsworkshops, exports, docs
  2. then
  3. AI DraftBRD/FSD/UAT + mappings
  4. then
  5. Expert Reviewapprove, edit, comment
  6. then
  7. Approved Outputready for project execution
  8. Feedback Loopreview notes improve future drafts
Raw Inputs workshops, exports, docs AI Draft BRD/FSD/UAT + mappings Expert Review approve, edit, comment Approved Output ready for project execution feedback loop improves future drafts

2) Defensibility Moat

ERP-specific rules and project feedback compound into a proprietary execution graph competitors cannot clone overnight.

  1. ERP Rule BaseSAP/Oracle/Infor patterns
  2. then
  3. Project Data Graphmappings + risks + decisions
  4. then
  5. Reviewer Signalswhat changed and why
  6. then
  7. Next Project Starts Smarterfaster first pass, better precision, less rework
ERP Rule Base SAP/Oracle/Infor patterns Project Data Graph mappings + risks + decisions Reviewer Signals what changed and why Next Project Starts Smarter faster first pass, better precision, less rework

3) Economic Value Chain

The model is simple: compress discovery, catch risk earlier, and improve SI margin per project.

  1. Faster Discoveryweeks instead of months
  2. then
  3. Artifact SpeedBRD/FSD/UAT in days
  4. then
  5. Earlier Risk Flagsbefore sprint rework
  6. then
  7. Higher Margin + More Capacityfewer surprises, stronger delivery economics
Faster Discovery weeks instead of months Artifact Speed BRD/FSD/UAT in days Earlier Risk Flags before sprint rework Higher Margin + More Capacity fewer surprises, stronger delivery economics
Value play: we do not compete as a chatbot. We become the execution layer between discovery and delivery, where every approved output and every correction improves the next project.

Measured Results

Side-by-side outcomes from ERP transformation projects of comparable complexity.

Traditional Approach

Discovery Phase
4-6 months of manual interviews
Multi-ERP Risk Discovery
Month 8+ (late surprise)
Integration Mapping
6-8 months manual documentation
UAT Script Creation
2-3 months (500+ scripts by hand)
Scope Creep Events
5-10 major discoveries post-kickoff
18-24 months, 2-3x over budget

With Launch Layer

Discovery Phase
2-4 weeks (AI ingestion + auto-catalog)
Multi-ERP Risk Discovery
Day 1 (immediate flag)
Integration Mapping
2-3 weeks auto-generated
UAT Script Creation
Auto-generated from requirements
Scope Creep Events
Near-zero (continuous monitoring)
9-12 months, on budget
40+
Systems mapped automatically
3
ERP instances detected Day 1
6+
Middleware layers cataloged
30-50%
Timeline reduction

Start with what you have

Upload a single document — a meeting transcript, a process diagram, a data export — and see what Launch Layer finds. No setup required.

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