Inside your business
Forward-deployed AI
We embed with your team and put AI to work inside the systems you already run: your data, your tools, your stack. Then we stay until it holds up in production.
Forge & Flow Solutions
We ship the AI others demo.
Plenty of teams have an AI pilot. Few have one running. We embed with your team, build AI into the stack you already run, and get it through security review and into daily use. Then we make sure the AI assistants your customers use can find you.
What we do
AI-ready, inside and out.
Two sides of the same shift. AI inside your business, doing real work. And your business, visible to the AI your customers already ask. Underneath both: the products and websites we build.
Outside your business
AEO & SEO
Your customers now ask ChatGPT, Perplexity and Google's AI before they click anything. We fix your existing website so AI assistants can find you, understand you and quote you.
Why it ships
Pilots stall for boring reasons. We fix the boring reasons.
AI projects rarely die because the model is wrong. They die in integration, in security review, or because nobody agreed what success looked like. So that is where we start.
Success is defined first
We agree what 'working' means, and what happens next, before any code is written.
Security review is part of the build
Data flows, personal data handling and prompt-injection testing ship with the work, not after it.
Your accounts, your keys, your repo
Everything runs in your cloud and your codebase. Nothing is locked to us.
No single-model bet
We design for swapping providers, so one vendor's price or outage never stops you.
Cost per task, in plain sight
You see what each AI task costs to run, so there are no surprise bills.
Written, async updates
Clear written progress you can read on your schedule, wherever your team is.
Forward-deployed AI
Four ways to work with us.
Start small and fixed in scope, or go straight to a build. Every engagement runs inside your accounts and ends with something your team owns.
01
AI Opportunity Map
A fixed-scope look at your stack, data and workflows to find the few places where AI actually pays off.
- Each opportunity comes with expected running cost, risk and the criteria for stopping
- A working spike on your real data, not a slide
- Credited against a build if you go ahead
If AI isn't worth it for you, we'll say so.
02
Production Slice
One AI workflow, live in production inside your stack, with the guardrails that get it past review.
- Success criteria agreed before we write code
- Evals, monitoring, cost limits and audit logs built in
- A security review pack as standard: data flows, personal data handling, prompt-injection tests
Built to ship, not to demo.
03
Pair Mode
For teams that want to build it themselves. We work alongside your engineers until the patterns stick.
- Pairing, code review and architecture sessions
- An eval harness and guardrail patterns your team owns
- We step back once your team can run without us
We make your team faster, not dependent.
04
Run & Improve
Ongoing care after launch, because models, prices and your data keep changing.
- Monitoring and incident response
- Evals re-run whenever a model updates
- Cost tuning and model swaps when something better or cheaper arrives
The work doesn't stop at launch.
Capabilities
If it can be described, it can probably be built.
Whatever your stack, these are the jobs AI can take on today. We pick the ones that pay off for you, and leave the rest.
Read
Turn documents, invoices, contracts, CVs and emails into clean, structured data.
Answer
Search and copilots over your own knowledge, for customers and for your team.
Act
Agents that call your APIs and carry back-office workflows through to the end.
Decide
Triage, routing, classification, lead scoring and anomaly flags.
Talk
Chat and voice agents on your website, WhatsApp and phone lines.
See
Vision for receipts, ID documents, product photos and quality checks.
Connect
MCP servers that let AI agents like ChatGPT and Claude use your product.
Guard
Evals, guardrails, red-teaming and runtime monitoring for everything above.
Selected work
Built, shipped, still running.
From AI-built prototype to production platform
Forward-deployed AIPlatform refactorOngoing care
Synigence Global: From AI-built prototype to production platform
A recruitment platform built fast with an AI app builder, rebuilt to run reliably on real mail, real candidates and real deadlines.
Seeing what AI agents actually do
AI observabilityAgent securityIn-house R&D
Argus: Seeing what AI agents actually do
In-house R&D: a runtime observability layer that shows what an AI agent really did on a machine, not just what it reported.
Mobile appWebsiteUI design
ApnaTrack: Employee management, shipped to both app stores
An employee management and tracking product, designed and built end to end: the iOS and Android app, and the website that sells it.
E-commerceShopify
Nysa Jewels & Co: The right tool, not the expensive one
They asked for a custom build. We recommended Shopify, then built them a polished store they run themselves.
Other ways we help
Building a product?
From first scope to the app stores, or rescuing something that was built fast and now needs to hold up. Web, iOS and Android.
Product engineering →Need a website or store?
Design-led custom sites and Shopify stores, built fast, hosted properly, and ready for AI search from day one.
Websites & stores →Who you work with
Senior engineers on your problem, not account managers.
Forge & Flow is led by Mithilesh Pandit, an engineer with years of production experience building backend platforms, integrations and AI systems that have to keep working after launch.
A security background runs through everything we build, including a master’s in Cybersecurity Management from the University of Warwick. For larger work we bring in a vetted network of designers and engineers, and the person you talk to on day one is the one doing the work.