Forward Deployed AI
We don't advise.
We build.
We embed engineers, designers, and architects directly inside your operation — and ship production AI from week one.
Trusted By
Who This Is For
Wherever you are with AI,
we deploy from there.
Maybe you're just getting started. Maybe you've tried AI tools and they didn't stick. Maybe you're ready to go deep. Our engineers meet you where you are and start shipping.
The Problem
You know AI is important but don’t know where to start. Your team is experimenting with ChatGPT and a handful of tools, but nothing’s systematic. You need a strategy, not more subscriptions.
After Indigo
A clear roadmap for AI in your business. We identify the highest-impact opportunities, build the first solutions, and train your team to keep going without us.
The Real Problem
Advisors leave.
Code stays.
Most firms send consultants who study your business for weeks, produce a strategy deck, and leave. Then the real work begins — and nobody knows how to do it.
Or you buy tools. Lots of tools. Each one solves a narrow problem in isolation. They don't talk to each other. Your team doesn't adopt them. Six months later, everyone's back to spreadsheets.
The gap isn't strategy. It's not software. It's the absence of builders who understand both your business and AI deeply enough to ship systems that work in production.
We deploy those builders.
The Team
Three roles.
Full ownership.
Not a bench of consultants. Every engagement gets the same focused team — an executive who owns the outcome, an engineer who ships the code, and a designer who makes it usable.
Executive
Strategy & architectureOwns the engagement end-to-end. Defines what gets built, maps AI to business objectives, and ensures every deployment drives measurable impact.
Forward Deployed Product Engineer
Build & shipEmbedded inside your operation. Writes production code, builds integrations, deploys AI systems, and ships solutions alongside your team — not from the outside.
UI/UX Design
Interface & experienceDesigns the interfaces your team actually uses. Every AI system we build gets a thoughtful, intuitive front-end — because adoption is everything.
How We Work
Embedded from day one.
Shipping by week one.
We don't study your problem from a distance. Our engineers sit inside your operation, learn your workflows firsthand, and start shipping production code immediately.
Deploy & Build
- Engineers embed in your operation
- Map highest-impact workflows
- First production code ships
Accelerate
- System architecture hardens
- AI pipelines go live
- Team begins co-building
Transfer & Scale
- Your team takes ownership
- Systems compound value
- We stay deployed on call
The Transformation
What changes when
AI ships to production.
Hover each row to see the shift.
How work gets done
Your team spends most of their time on repetitive tasks. Every deliverable bottlenecks through the same few people. Scaling means hiring.
AI handles the repetitive work. Your team focuses on strategy, creativity, and the problems that actually need a human. Scaling means building smarter systems.
Institutional knowledge
Critical knowledge lives in people’s heads. When someone leaves, it goes with them. Onboarding takes months. Context is always getting lost.
Knowledge is captured, organized, and searchable. New hires get up to speed in days. Your AI systems draw from the same knowledge base your team does.
Speed of delivery
Weeks to ship a feature. Days to produce a report. Hours to draft a single piece of content. Everything takes longer than it should.
What took weeks takes days. What took days takes hours. AI accelerates every workflow without sacrificing quality.
Decision making
Decisions are based on gut feel and whatever data someone had time to pull together. Analysis is slow, so you move on instinct.
AI surfaces insights, synthesizes data, and prepares analysis in real time. You still make the decisions — but with better information, faster.
Our Approach
Built from the inside,
not bolted on.
Not a vendor integration. Not a tool your team ignores after a month. We embed inside your operation and build AI systems that become part of how your company runs.
AI isn't a product you install. It's a capability you build into every layer of your operation — strategy, workflows, product, data. Our forward deployed engineers build that capability from inside your team.
Embed inside your operation
We learn your workflows, data, and bottlenecks firsthand — not from a discovery questionnaire
Ship production systems
Custom AI tools, automations, and integrations built for how your team actually works — deployed, not demoed
Transfer ownership
Your team learns to run, evolve, and extend every system we build. No vendor lock-in
Stay deployed
AI moves fast. We stay embedded to help you adapt, scale, and capitalize on what's next
The Architecture
Three layers.
One system.
You orchestrate at the top. AI executes at the bottom. The command center connects them. This is the architecture our engineers deploy inside every client.
The Orchestrator
You define what gets built and why. The system handles how. Every AI initiative maps back to a business objective you set.
AI Command Center
The central hub connecting your strategy to execution. Knowledge bases, workflow automations, custom tools, and integrations — all in one place.
AI Workforce
Specialized AI agents with defined skills, scoped knowledge, and verification loops. They execute tasks, generate content, analyze data, and build software — you review and approve.
The Pipeline
Production-grade.
Not a prototype.
This is the pipeline our forward deployed engineers build inside your infrastructure — from data ingestion to continuous learning. Every stage ships to production.
Ingest
Data collection & preparation
- Document processing
- API integrations
- Database connectors
- Real-time streams
Process
AI transformation layer
- Embedding generation
- Classification
- Entity extraction
- Summarization
Orchestrate
Multi-agent coordination
- Task routing
- Context management
- Tool selection
- Verification loops
Execute
Action & output layer
- Code generation
- Content creation
- Data analysis
- API calls
Learn
Continuous improvement
- Feedback capture
- Performance metrics
- Knowledge updates
- Model refinement
Knowledge Systems
Your company's brain,
built to compound.
The most valuable AI systems remember. Our engineers build knowledge infrastructure inside your organization that captures, structures, and compounds intelligence over time.
Institutional Knowledge
Every decision, process, and insight gets captured and organized — not lost in Slack threads or someone's head.
Searchable Intelligence
Knowledge gets indexed, embedded, and connected — so both your team and AI systems can find exactly what they need, instantly.
Self-Improving System
Every interaction makes the system smarter. AI learns from feedback, new data enriches the knowledge base, and patterns emerge over time.
Results
Outcomes, not deliverables.
We're measured on what ships, not what we present. Here's what our deployments produce.
What They Say
Executives who built,
not just learned.
Bootcamp graduates across industries — each walked away with a working AI system, not a certificate.
“Worker 1 is hardest. Worker 10 is almost templated. The compound effect is real.”
Built 3 custom AI workers: Financial Reporter, Cash Planner, and Expense Analyzer — now running autonomously.
“The AI assistant doesn't replace the creative process — it amplifies it. Brief, Create, Review, Learn.”
Built a Creative Studio OS with an AI Social Media Manager worker — turning 15 minutes daily into a week of content.
“AI fluency isn't about being technical — it's about knowing how to architect systems that work for you.”
Built a Personal HQ system with a Research Assistant AI worker and daily workflows for research, writing, and planning.
“The methodology works whether you're running a restaurant kitchen or building a consulting practice. The principles are the same.”
Built a Restaurant AI HQ with a Menu Analyzer worker and a consulting delivery framework for restaurant owners.
In Practice
Built for real operations.
Not hypotheticals.
Every engagement is personalized to the client's operation, tools, and team. Here's what that looks like.
Amass Brands
Financial operations across brands — monthly reporting, cash planning, expense analysis — all manual in Excel. Netsuite data required extraction and reformatting every cycle. The bottleneck wasn't strategy, it was the execution layer between data and decisions.
“You have 1,000 employees willing to work for free. You just don’t know how to hire them yet.”
— Corey Epstein, Indigo Advisory“Stop using AI. Start deploying it.”
— Corey Epstein, Indigo Advisory“AI is good the shorter the context. It’s context-rot as it gets longer. Managing that is everything.”
— Corey Epstein, Indigo AdvisoryOur Stack
The tools our engineers
deploy with.
We don't prescribe a stack — we match the right tools to your operation. Here's what our forward deployed teams ship with.
- OpenAI / GPT-4o
- Anthropic / Claude
- LangChain
- Vector DBs
- RAG Pipelines
- Fine-tuning
- Embeddings
- Multi-agent Systems
- AWS / Lambda
- Vercel
- Docker
- PostgreSQL
- DynamoDB
- Redis
- Cloudflare
- GitHub Actions
- TypeScript
- Next.js
- React
- Node.js
- Python
- Prisma
- GraphQL
- REST APIs
- Snowflake
- BigQuery
- dbt
- Cube.js
- MongoDB
- Elasticsearch
- Custom ETL
- Real-time Pipelines
- Shopify
- Stripe
- Twilio / SMS
- Slack
- HubSpot
- Salesforce
- Zapier
- Custom APIs
- Figma
- Design Systems
- UX Research
- Prototyping
- A/B Testing
- Analytics
- User Flows
- Brand Systems
Engagement Models
Two ways to deploy
our team.
Every deployment is scoped to your operation. No cookie-cutter packages.
- 3-session intensive: Foundation, The Method, Go Live
- Learn the methodology behind every AI deployment we ship
- Walk away with a working system tailored to your business
- AI architecture, mental models, and autonomous systems
- Not a binder — you build something real
- Structured curriculum delivered across your team
- Workshops, hands-on labs, and implementation coaching
- Each team member leaves with working tools, not just slides
- Custom content scoped to your tools, workflows, and goals
- Ongoing coaching as your team deploys and iterates
- Full buildout of an AI command center for your operation
- Custom workers, knowledge bases, and workflow automations
- Embedded engineers build from inside your team
- Every system ships to production — no demos, no prototypes
- Full documentation and ownership transfer
- Full-stack development: web, mobile, and API
- AI features embedded into your product from day one
- TypeScript, Next.js, React, and modern infrastructure
- Design, build, and ship — with your team embedded in the process
- Flexible scope: greenfield builds or feature sprints
- AI product strategy scoped to your operation and goals
- UX and interface design for AI-facing systems
- Design systems for internal tools your team actually uses
- Prototyping, research, and user testing
- Roadmap planning and initiative prioritization
Exec AI Bootcamp
Three sessions. Learn the methodology behind every deployment we ship. Walk away with a working system and the knowledge to evolve it — not a binder.
Ready?
Deploy a team.
Ship AI.
Start with a conversation. We'll scope your operation, identify the highest-impact deployment, and show you exactly what our engineers can ship — no commitment, no pitch deck.