How We Build
AI Acceleration Under Structured Governance.
AI must do one of four things or it is a gimmick.
The Four Levers
Increase Revenue
AI that qualifies leads, generates proposals, scores opportunities, and accelerates sales cycles.
Reduce Labor
AI that automates multi-step workflows, processes documents, and handles repetitive tasks at scale.
Improve Decision-Making
AI that surfaces patterns, analyzes data, generates insights, and provides contextual intelligence.
Increase Speed
AI that compresses timelines, generates first drafts, processes inputs faster, and removes bottlenecks.
If it does not hit one of these, we do not build it.
Controlled AI Systems
High-Value AI Systems
AI Knowledge Engine
Best for: Companies with large document libraries
- ✓RAG system with document ingestion
- ✓Vector database and semantic search
- ✓Role-based access controls
- ✓Admin dashboard with analytics
- ✓Source citation and traceability
- ✓Continuous index updates
AI Workflow Automation
Best for: Operations and sales teams
- ✓Agent-based orchestration
- ✓Trigger-based AI actions
- ✓CRM integration
- ✓Multi-step reasoning chains
- ✓Structured outputs and validation
- ✓Error handling and retry logic
AI Customer Intelligence
Best for: SaaS platforms
- ✓Smart onboarding flows
- ✓Usage pattern analysis
- ✓Churn prediction models
- ✓Support automation
- ✓User behavior clustering
- ✓Health score dashboards
AI Revenue Engine
Best for: Service businesses and consultancies
- ✓Proposal generator
- ✓Outbound drafting system
- ✓Sales copilot interface
- ✓Lead scoring models
- ✓Follow-up automation
- ✓Pipeline intelligence
Packages
Engagement Packages
AI Knowledge Infrastructure
$8K to $20K
- ✓RAG system with retrieval pipeline
- ✓Document ingestion and processing
- ✓Vector database (Pinecone, pgvector, or Weaviate)
- ✓Role-based access controls
- ✓Admin dashboard with usage analytics
- ✓Monitoring and alerting
AI Workflow Automation
$10K to $25K
- ✓Agent orchestration framework
- ✓Trigger-based AI actions
- ✓CRM and third-party integration
- ✓Multi-step reasoning with validation
- ✓Structured outputs and error handling
- ✓Queue system with retry logic
AI Revenue Accelerator
$12K to $30K
- ✓AI qualification engine
- ✓Proposal and document generator
- ✓Automated follow-up sequences
- ✓Sales assistant dashboard
- ✓Lead scoring and prioritization
- ✓Pipeline analytics
Every package includes: scope document, architecture diagram, deployment, documentation, 30-day bug fix window, full code ownership.
Our Process
How We Build Differently
Traditional Hiring
Post job listing
Screen and interview candidates
Onboard over 2-3 months
Manage and iterate slowly
Ship (with variance)
Wingman6
Scope engagement
Architecture blueprint
Governed AI execution
Validation gate
Ship (production-grade)
Architecture Blueprint
System design before a single line of code. Database schema, API contracts, auth flow, and integration plan documented upfront.
Schema-First Modeling
Database schema drives the codebase. Types, validation, and API boundaries generated from the schema, not retrofitted.
Governed AI Execution
Structured implementation follows the architecture blueprint. AI operates within governance constraints. Humans handle judgment.
Validation and Test Harness
Automated tests written alongside every module. Coverage targets enforced. Regression detection built in from day one.
CI Enforcement
Every push runs lint, typecheck, test suite, and governance checks. Nothing deploys without passing the full pipeline.
Deployment
Production-ready on Vercel, AWS, or your infrastructure. DNS configured. Smoke tested. Documentation delivered.
This is why we ship in weeks, not quarters. Not claims of AI superiority. A better system.
Infrastructure
Tech Stack
Frontend
Backend
AI Layer
Auth
Payments
Deployment
Ready to build something real?
Tell us what you need. We will scope it and deliver a fixed engagement overview.