01 / 04
Fractional FDE
Engineers who ship inside your customer’s stack.
- Integrations into CRMs, ERPs and telephony
- Agent logic, evals and monitoring
- Security reviews and SSO
- Pilot to renewal
Fractional FDEFractional CTOAI engineering
Senior AI engineers, embedded in your team.
Fractional forward-deployed engineers and CTOs who take your AI from pilot to production. Monthly, starting in a week.
- Starts in a week
- Fixed fee or monthly
- NDA before access
- Agreed overlap with US or EU hours
- You own the code from the first commit
01, The problem
Most AI never makes it past the pilot.
The demo works. Then it meets legacy systems, a security review and data spread across five tools. Only a quarter of companies have moved even 40% of their AI pilots into production. The role that closes that gap, the forward-deployed engineer, is among the hardest to hire in tech right now.
25%
of companies have moved 40%+ of their AI pilots to production.
Source: Deloitte, State of AI in the Enterprise 2026 (opens in a new tab)
02, Services
Four ways to work with us.
02 / 04
Fractional CTO
Senior judgment, one or two days a week.
- AI strategy with a business case
- Architecture and build vs buy
- Hiring and managing engineers or agencies
- Investor and board tech updates
03 / 04
AI product engineering
From spec to shipped.
- MVPs and v1 products
- AI agents and voice agents
- Copilots, search and document processing
- Internal tools
04 / 04
Prototype to Production
Make the demo safe for real users.
- Auth, data and security
- Tests and monitoring
- Model cost controls
- Handover docs
03, How an FDE pod works
How an FDE pod works.
One outcome, one deployment, one accountable lead. Sahil runs discovery and architecture; Studio5 engineers do the daily embedded work under his review. We join your Slack as part of your team, under your name if you prefer.
01 · Weeks 1 to 2
Map
Shadow the users, map the systems, agree the one metric that defines success.
02 · Weeks 3 to 8
Ship
Integrations, agent logic, evals and security answers, with a working demo every week.
03 · Weeks 9 to 12
Convert
Production cutover and adoption, then a clean handover or we stay on.
A full-time FDE often costs $300K+ in total comp and months of searching. A pod starts in a week.
04, Engagements
Start small. Scale what works.
Every engagement has a written scope and a clear deliverable. We quote after a short call, once we understand what you need.
5 daysFixed fee
AI Readiness Diagnostic
We review your product, stack, data and workflows, then hand you a prioritized plan for where AI pays off first.
Quoted after a short callTalk it through (opens in a new tab)
2 to 4 weeksFixed fee
Prototype to Production
We take the prototype you already have and make it safe for real users and real money.
Quoted after a short callTalk it through (opens in a new tab)
8 to 12 weeksMonthly
FDE Pod
One customer deployment taken from signed pilot to production, by an embedded pod led by Sahil.
Quoted after a short callTalk it through (opens in a new tab)
OngoingMonthly retainer
Fractional CTO
Technical leadership one or two days a week: roadmap, architecture, hiring, vendors and board updates.
Quoted after a short callTalk it through (opens in a new tab)
Also available:AI evals and reliability , EU AI Act engineering readiness.
05, Work
Recent work, measured.
100%
of inbound calls answered, 24/7
AI voice receptionist for an HVAC company
2k → 60k
monthly organic visitors in 6 months
Automated SEO engine for an ed-tech startup
+60%
revenue in 4 months
Automated outreach and proposals for a design agency
85%
faster support responses
AI support desk for a SaaS startup
Projects led by Sahil Miglani.
See all work06, How we work
You own everything.
Your repo, your cloud, your accounts, from the first commit.
One metric, agreed up front.
Every engagement starts with the number it has to move.
Senior-led.
Sahil is on every engagement, and you meet every engineer before they start.
Weekly demos in plain English.
Progress you can click, every week.
07, FAQ
Who will work on my project?
Sahil leads every engagement. Senior Studio5 engineers, and the engineers they lead, do the daily embedded work under his review. You meet everyone before they start.
What is a forward-deployed engineer?
An engineer who works inside your systems, or your customer’s, and owns getting software live. Not a consultant who hands over a slide deck.
Where is the team based?
Gurugram, India. Every engagement includes agreed overlap with US or EU working hours.
Who owns the code?
You, from the first commit.
How do you price?
Fixed fee for diagnostics and sprints, monthly for pods and fractional CTO work. Pods can include a success fee tied to pilot conversion. We quote after a short call.
How do you handle our data?
NDA before access, least-privilege access inside your accounts, and we never train models on your data.
What stack do you use?
TypeScript, Next.js, Python and Postgres, with Claude, OpenAI or open-source models. We adapt to yours.
Next step
Tell us what’s stuck.
30 minutes, no pitch deck. You’ll leave with a next step, even if it isn’t us.