LaunchOS Platform Roadmap

49-Module Design System with Interactive Gantt Chart & SI Cost Comparison
Document Type Executive Roadmap
Total Modules 49 Design Modules
Last Updated March 2026
Version 2.0

Platform Summary

49
Design Modules
Modules 00 through 48
7
Development Phases
Foundation through Engagement
178
Capabilities / Epics
Across all 49 modules
612
Total Stories
INVEST-validated, design-linked
2,133
Story Points
Across all 49 modules
90%+
Cost Savings vs SI
Compared to Big 4 engagement

Development Roadmap & Gantt Chart

Each module's timeline bar represents the relative development scope. Bars are grouped by development phase. Click a phase header to expand/collapse. Hover over bars for details.
Phase 1: Foundation
Phase 2: Core PM
Phase 3: Dev Tools
Phase 4: Infrastructure
Phase 5: AI & Intelligence
Phase 6: Platform Ops
Phase 7: Engagement
🏗
Phase 1: Foundation & Architecture
6 modules
▼
ID Module Description Dependencies
Week 1 Week 4 Week 8 Week 12
00 Platform Foundation Core entity hierarchy, SDLC lifecycle, platform vision --
W1-4
17 Access Control Multi-level RBAC: customer, application, workstream, super admin 00
W2-5
18 Data Model Complete database schema, global standards, migration plan 00, 17
W2-6
30 Platform Security Auth, authorization, data protection, input validation, SAST/DAST 00, 17
W3-6
19 Branding & UX Color system, typography, messaging, layouts, themes 00
W1-3
15 Settings Platform, application, and workstream settings management 00, 17
W4-6
📋
Phase 2: Core Product Management
12 modules
▼
ID Module Description Dependencies
Week 4 Week 8 Week 12 Week 16
01 Applications Application CRUD, objectives, leadership, members, reports 00, 17
W4-7
02 Product Workstreams Workstream categories, CRUD, objectives, team, content, tools 01
W5-8
24 Business Problems Problem CRUD, hierarchy, approval workflow, reporting 01
W5-7
03 Feature Backlog Feature lifecycle, CRUD, comments, promote to design, API 02, 24
W7-9
04 Designs Design categories, CRUD, versioning, workshop, rich editor 03
W8-10
05 Capabilities Capability categories, cards, lifecycle, traceability, dependencies 04
W10-12
06 Stories Story CRUD, lifecycle, comments, review, workspace entry 05
W11-13
07 Bugs Bug CRUD, lifecycle, capability regression, workspace entry 05, 06
W11-13
27 Tasks Task CRUD, task lifecycle, assignment 06
W12-13
08 Sprints Sprint planning, execution, board, daily stand-ups 06, 07
W13-15
09 Workflow Designer Visual workflow canvas, components, assignment rules 00, 06
W11-14
16 Content System Category cards, content cards, rich editor, versioning, AI workshop 01, 02
W6-9
🛠
Phase 3: Development Tools
6 modules
▼
ID Module Description Dependencies
Week 10 Week 14 Week 18 Week 22
10 Workspace Development container, work timer, workspace tools 06, 07
W10-13
11 Code Reviews Review workflow, documentation reviews, review history 06, 10
W12-14
12 Testing Test hierarchy, suites, execution, failure intelligence, traceability 06, 10
W12-15
13 Code Browser Repository file browser with syntax highlighting 10
W14-15
14 Reports Leaderboard, burndown, workforce efficiency, well-architected, security 08, 06
W15-18
25 Operation Modes Done-With-You, Done-For-You, Done-By-Myself, approval gates 09, 36
W16-19
☁
Phase 4: Infrastructure & Deployment
7 modules
▼
ID Module Description Dependencies
Week 14 Week 18 Week 22 Week 26
21 Robo Build Build orchestration, container management, AI code gen, monitoring 06, 10
W14-18
22 Robo Deploy Environments, strategies, pipelines, pods, multi-region, HA, rollback 21
W16-20
23 Robo Debug AI debugger, auto-fix pipeline, failure analysis, bug integration 21, 07
W17-20
29 Integration Credentials Credential hierarchy, types, management interface, security 30
W15-17
44 Multi-Region Deploy Fargate, EC2, HA scaling, infra stack, deploy pipeline, dashboard 22
W20-24
45 Serverless HA Compute layer, data layer, networking, scaling, migration, cost analysis 44
W22-26
33 Database Management Remote provisioning, backup/restore, schema browser, query console 18
W15-19
🧠
Phase 5: AI & Intelligence
8 modules
▼
ID Module Description Dependencies
Week 16 Week 20 Week 24 Week 28
36 AI Agent Team Members Agent profiles, auto-provisioning, templates, custom agents, knowledge 00, 17
W16-19
39 Build Intelligence Micro-story gen, context assembly, design-to-build pipeline, risk 21, 04
W18-22
40 Agent Tuning Instruction decomposition, data grounding, context window, feedback 36
W19-23
41 Org Learning Build/debug learning, design patterns, conversational, evolution 36, 39
W20-24
42 Agent Work Assignment Role definitions, assignment rules, capability architects, dashboard 36, 06
W19-22
46 LLM Model Selection Vendor models, platform defaults, account overrides, cost tracking 36
W21-24
47 Model Benchmarking Dual execution, decision analysis, collision detection, scoring 46
W23-27
37 Frameworks Framework catalog, installation, authoring, entitlements, licensing 36, 04
W19-22
⚙
Phase 6: Platform Operations & Communication
8 modules
▼
ID Module Description Dependencies
Week 14 Week 18 Week 22 Week 26
26 Meeting Summaries AI-generated meeting summaries and detail views 35
W16-18
28 Super Admin Console Console interface, admin tools, terminal, extensions, security audit 17, 30
W14-18
31 Billing & Consumption AWS costs, AI vendor costs, cost dashboard 28
W17-20
32 Service Health AWS service dashboard, security monitoring, performance alerts 28
W17-20
34 Customer Consumption Consumption dashboard, usage analytics, data model 31
W19-22
35 Team Communication Direct messaging, voice/video calls, chat groups, presence, agent comm 01, 36
W15-19
38 Feature Rollout Feature flags, beta features, GA promotion, data model 28
W18-21
43 Doc Import & Export Design import, PDF export, story exchange, test exchange, templates 04, 06, 12
W20-23
🤝
Phase 7: Engagement & Go-To-Market
2 modules
▼
ID Module Description Dependencies
Week 8 Week 14 Week 20 Week 26
20 Marketing Website Homepage, features, pricing, demo/signup, blog, SEO analytics 19
W8-14
48 Engagement Workshops SI pipeline replacement: discovery, UX research, architecture, story mapping, design workshops 04, 39, 36
W14-26

Big 4 SI Cost Comparison

The following comparison illustrates the cost of a traditional Big 4 Systems Integrator (Deloitte, Accenture, EY, PwC) engagement versus the LaunchOS platform approach for delivering the same 49-module platform design and implementation scope.

Big 4 Systems Integrator
Deloitte / Accenture / EY / PwC
Discovery & Vision
4 weeks · Partner (10%), Director, 2-3 Consultants
$180K - $280K
UX Research & Design
6 weeks · UX Lead, 2-3 Designers, Researcher
$300K - $450K
Architecture & Design
6 weeks · Solution, Data & Security Architects
$350K - $540K
Story Mapping & Planning
3 weeks · EM, 1-2 BAs, Tech Lead
$90K - $165K
Build — Core Platform (Sprints 1-12)
24 weeks · 12-16 FTE Dev Team
$3.5M - $6M
Build — AI & Advanced (Sprints 13-20)
16 weeks · 10-14 FTE Dev Team
$2M - $3.5M
Quality Assurance & Testing
8 weeks + parallel · 4-6 QA Engineers
$400K - $720K
Deployment & Go-Live
4 weeks · DevOps Team
$200K - $300K
PM, Governance & Change Mgmt
Throughout · 2-3 PMs, Change Manager
$800K - $1.38M
Total SI Engagement (12-15 months) $7.8M - $13.3M
LaunchOS Platform
AI-Powered Platform + Agent Team
Platform Subscription
Annual license · Full platform access
$2K - $5K/mo
AI Workshop Sessions
Discovery, UX, Architecture · Agent-driven
Included
Design & Story Generation
AI agents with human oversight
Included
Robo Build (AI Compute)
ECS Fargate · Per-build metered
$5K - $25K
Robo Deploy (Infrastructure)
AWS infrastructure · Usage-based
$2K - $10K/mo
LLM Token Costs
Anthropic, OpenAI · Token metered
$3K - $15K
Testing & QA Automation
AI-generated test suites · Automated execution
Included
Ongoing Platform Support
Updates, agent improvements, new features
Included
Total Year 1 (est.) $50K - $150K
98 - 99%
Cost Reduction vs Big 4 SI Engagement
LaunchOS replaces $7.8M - $13.3M in Big 4 SI costs (Deloitte, Accenture, EY, PwC) with a platform subscription and AI compute costs of $50K - $150K — a 98-99% reduction, while delivering faster time-to-market and continuous AI-powered improvement. Based on verified rate card research from Levels.fyi and public financial disclosures.

Phase-by-Phase Comparison

Phase SI Duration SI Cost (Mid) LaunchOS Approach LaunchOS Cost Savings
Discovery & Vision 4 weeks $230K AI Discovery Workshop (Module 48) Included ~100%
UX Research & Design 6 weeks $375K AI UX Research Agents (Module 48) Included ~100%
Architecture & Design 6 weeks $445K AI Architecture Workshop (Module 48) Included ~100%
Story Mapping & Planning 3 weeks $128K AI Story Generation (Module 39) ~$2K tokens ~98%
Build — Core Platform 24 weeks $4.75M Robo Build (Module 21) + ECS Fargate ~$15K compute ~99.7%
Build — AI & Advanced 16 weeks $2.75M Robo Build + AI Agent Team ~$15K compute ~99.5%
Quality Assurance 8+ weeks $560K Robo Test (3-level automated QA) ~$3K compute ~99.5%
Deployment 4 weeks $250K Robo Deploy (Module 22) + AWS ~$5K infra ~98%
PM & Governance Throughout $1.09M AI PM Agent (Always On) Included ~100%
Total 12-15 months $10.6M LaunchOS Platform (all 49 modules) ~$100K ~99%
Note: SI cost estimates are based on verified rate card research using Levels.fyi compensation data with standard billing multipliers (2.5x-3.5x), cross-checked against Big 4 public financial disclosures (Deloitte $67.2B, PwC $55.4B revenue). Rates as of 2025-2026: Partner $700-$1,200/hr, Director $500-$800/hr, Senior Manager $400-$600/hr, Senior Consultant $225-$375/hr, Consultant $175-$300/hr. Full methodology documented in research-consulting-engagement-costs.md.

Cost Waterfall: SI vs LaunchOS

Visual comparison of costs across each SDLC phase. Red bars represent Big 4 SI costs, purple bars represent LaunchOS platform costs for the same scope.

Big 4 SI Cost
LaunchOS Cost
Discovery & Vision
$230K
UX Research & Design
$375K
Architecture
$445K
Story Mapping
$128K
$2K
Build — Core Platform
$4.75M
$15K
Build — AI & Advanced
$2.75M
$15K
QA & Testing
$560K
$3K
Deployment
$250K
$5K
PM & Governance
$1.09M
$10.6M
Big 4 SI Midpoint Total
12-15 month delivery timeline
~$100K
LaunchOS Platform Total
8-12 week delivery timeline
$10.5M
Customer Savings
99% cost reduction

Key Advantages Beyond Cost

Dimension Big 4 SI LaunchOS
Time to First Deliverable 4-8 weeks (after discovery) Same day (AI workshop output)
Knowledge Retention Walks out with consultants Persists in platform (Org Learning)
Scalability Linear cost increase per project Near-zero marginal cost per project
Iteration Speed Weeks per change request Minutes via AI agents
Consistency Varies by consultant Deterministic via frameworks & templates
24/7 Availability Business hours only Always-on AI agent team
Continuous Improvement Engagement ends, learning stops Org Learning accumulates over time
Vendor Lock-in Custom code, proprietary processes Exportable designs, open standards