LAUNCH LAYER
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ERP Implementation Acceleration Integration & Data Migration UAT & Test Automation Change Impact & Risk Control Multi-System Consolidation
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Companion Demo
Execution Layer Overview

Project inputs in. Execution-ready deliverables out.

Workshops, process docs, and legacy data go in. BRDs, integration mappings, UAT scripts, and risk flags come out — no manual rewrite when the program changes.

Open the Companion Demo See How It Fits
Process

How It Works

Four steps from upstream context to delivery output
Step 01 upload_file

Ingest

Ingest workshops, process scope, architecture exports, data files, and project documents from the systems teams already use.

Step 02 account_tree

Align

Connect process truth, architecture truth, and project scope into one execution model with traceable provenance.

Step 03 auto_awesome

Generate

Generate BRDs, FSDs, interface mappings, UAT packs, and control outputs from aligned transformation context.

Step 04 monitoring

Propagate

When scope shifts, Launch Layer flags stale artifacts, retest scope, and delivery risk so teams know what changed.

Architecture

Architecture in Action

Real programs span process platforms, architecture systems, ERP cores, middleware, and local tooling. Launch Layer links that context to execution.

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

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.

sync_alt

Maps between all systems

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

warning

Scans and flags risks

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

Capabilities

Core Capabilities

Each module works independently or together
Module 01 description

Context Intelligence

Ingests workshop transcripts, process scope, architecture context, and project documents to build structured execution inputs 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 02 hub

Execution Spec Engine

Turns process and architecture context into field-level specs, mapping logic, validation rules, and delivery-ready integration outputs.

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 03 shield

Risk and Change Detection

Scans data, scope, and architecture changes to find issues before they become delivery surprises, then flags affected downstream artifacts.

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 04 speed

Execution Control

Tracks readiness across requirements, testing, mappings, and go-live controls so delivery teams can act before weekly status catches up.

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.

Deliverables

Concrete Deliverables

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

article

Business Requirements Documents

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

integration_instructions

Functional Specifications

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

checklist

UAT Test Scripts

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

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Integration Maps

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

report

Risk Reports

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

inventory_2

System Catalog

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

query_stats

Data Quality Analysis

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

dashboard

Transformation Dashboard

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

Landscape

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.

Value

Why Launch Layer Wins

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

cycle

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
security

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
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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.

Results

Measured Results

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

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

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.

Open the Companion Demo Learn More
Dedicated Deployment
Customer Data Boundaries
SSO / RBAC / Audit Logging
Governed Model Routing