Food services
Multi-agent
BI over live sales data
Natural-language questions answered straight from the systems of record.
DEPLOY - Detect, Enrich, Plan, Link, Operate, Yield
Detect-Find the signal
We integrate our FDE pod into your team and take one real workflow from idea to production in 14 days. No pilots, no decks - we deploy fast.
2 FDEsembedded in your team, not advising from outside
14 daysmedian time to first production deploy
Zero deckswe hand over systems, not recommendations
The model has changed
The models work. Your deployment doesn't.
The forward-deployed way
Engineers inside your team from day one
A system in production, measured on your baseline
One workflow, fixed scope, end-to-end accountability
Your team ships alongside us and keeps the capability
Drag to compare
Our work
Teams we have built AI into.
Systems that went into real operational use — not pilots, and not slideware.
Accel
Wispr Flow
BCG
Google
mem0
Back office
80%
Document processing pipeline
Extraction and verification across invoices, contracts and reports.
Hiring
60%
AI interviewer
Screening and evaluation automated end to end, bias included.
Education
45%
Adaptive learning tutor
A quiz platform that moves at each student's pace.
The execution gap
Not an access problem. An execution problem.
Everyone can reach a model. The work still lands on teams who already have a roadmap, so demos stay demos and nothing changes in the business.
95%
of enterprise GenAI pilots deliver no measurable P&L impact.
MIT, State of AI in Business, 20251 in 10
In India, fewer than one in ten GenAI POCs ever reach production.
EY–CII, AIdea of India, 202542%
of companies abandoned most of their AI initiatives in 2025 — up from 17% the year before.
S&P Global, 2025The deployment sprint
One workflow, live in fifteen days.
No discovery phase. Every stage ends in something you can open and use.
Days 0–3
Three days inside the real work — your Slack, your standups. We leave with one workflow picked and a number to beat.
What lands
- The workflow, chosen and scoped
- A baseline everyone agreed to
- Systems and data access in place
What we need from you
A problem owner who knows the workflow, and someone who can grant access.
Start with one workflow
Bring usthe bottleneck.
Show us the workflow you want AI to run. We will scope it with you in thirty minutes, and tell you honestly if it is not a fit.
Book a 30-minute callPrefer email? deploy@buildfastwithai.com
FAQ
Straight answers.
An engineer who works inside your business — your tools, your data, your team — and ships production systems, not prototypes. Palantir invented the model; OpenAI, Anthropic and AWS have since committed billions to it. It is the opposite of a consultant who advises from a distance.
Consulting tells you what to build. We build it, deploy it, and stay until the number moves. The deliverable is a changed operation with a measurable before and after — not a recommendation.
Sprints are fixed-scope and priced per engagement after a 30-minute scoping call, because the honest answer depends on the project. What we can tell you: it is scoped to be a fraction of one hire's annual cost — and the system running in production is how you judge the return.
We are vendor-neutral. Every new model resets what is possible — your operations should not have to reset with it. We pick whatever ships fastest and runs cheapest for your workflow, and we build for model portability so you are never locked in.
Senior builders from Build Fast with AI — the same people who teach hundreds of builders to ship AI systems in our programs. We build for a living and we teach it; the sprint is where both meet your business.
Your team runs the system — capability transfer is part of the sprint, not an add-on. If you want us to stay and keep shipping workflows, that is the FDE Pod.