Your AI team.Not another agency.
We design, build, and run AI inside the systems your team already uses. Whether you're operating a business or building a product.
First working outcome in 90 days, or we stop charging.
We do two things.
Two ways we work. The build inside each one is different for every team.
InsidetheOperation.
Two examples. The work looks different for every business.
Every inquiry, answered. Before the booking window closes.
The brief
A hospitality group losing private-hire bookings. Inbound sat unread for hours. BDM was the bottleneck. The booking window is measured in minutes.
What we built
An AI that processes every inquiry the moment it lands. Checks the calendar, researches the client company, drafts a personalised reply, and pings the BDM on WhatsApp, draft ready to approve.
What changed
Response collapsed from hours to minutes. Zero missed inquiries. BDM stays in the loop but never drafts from scratch. The AI does the work, they approve.
Inbound Email Automation
Response window collapsed from hours to minutes
Materially more private-hire inquiries converting to booked revenue
Zero missed private-hire inquiries
Flatten the management layer.
The brief
A CEO three layers of management away from the real answer. Every signal that matters, scattered across every tool the company runs. Every question, three meetings to answer.
What we built
One brain across every tool, every thread, every document. The CEO asks anything in plain English. It cross-references the whole company, surfaces the pathways between problems, and returns a sourced answer in under two seconds.
What changed
The CEO decides without the chain. Hidden links between support, engineering, and revenue surface on their own. The middle layer is information flow, not a bottleneck.
Company Brain
Under-2-second answer, sourced across every tool
No middle layer between CEO and ground truth
Every decision, one query away
InsidetheLab.
We can't tell you who. But you've seen our work.
A snapshot of the work. Every product team gets a build shaped to their stack.
Engineers who build AI into real products.
Inside your codebase. Inside your data model. Inside your runtime. We treat AI like any other part of your software, evaluated, monitored, migrated when the frontier moves. Not a vendor calling an API from the outside.
Retainer. Embedded. Confidential by default.
LLM features
Scoring, classification, summarisation, natural-language querying. The primitives your product should already have.
Cadence
Per new capability
RAG pipelines
Retrieval, ranking, evaluation. The unglamorous work that keeps AI features grounded in your data and reliable in production.
Agentic workflows
Multi-step AI that takes action, not just drafts text. Safe defaults, human-in-the-loop where it matters, traceable decisions end to end.
Copilots that understand your data model.
In-product assistants that speak in your entities, not generic chatbot language. When the frontier moves, we evaluate, migrate, and optimise. You stay focused on the product.
I take the calls myself. Thirty minutes. You'll leave knowing what we'd build, what it'd move, and whether it's worth your time.
Imraan · Founder, twohundred
Ispent10yearsrunninghospitalitybusinesses.Iknowwhatitfeelsliketoloseacorporatebookingbecausetheinboxsatforsixhours.Towatchfootfalltankandnotknowwhichlevertopull.Topayanagency£8kamonthforreportsnobodyreads.
Ifyourunastudio,anagency,abrokerage,ane-commercebrand,oraproductteamtryingtogetAIintoproductionwithouthiringanMLsquad,thedetailisdifferentbuttheshapeisthesame.Thebookingyouneversaw.Thefeaturethatneverwentlive.Thereportyoupaidforandneveropened.
twohundrediswhatI'dwantifIwerestilloperating.AIbuiltintothetoolsmyteamalreadyuses,bysomeonewho'sbeenonmysideofthetable.
Ifthatsoundslikewhatyouneed,thecall's30minutesandIdothemmyself.
Imraan
Book a callQuestions we get asked.
£2,000–5,000 per month, monthly rolling. No annual contract, no setup fee, no minimum term. If the work hasn't moved a metric that matters to you by month three, you walk and we wish you well.
Most AI agencies sell chatbots, Zapier workflows, or dashboards. We don't. We build AI that runs inside the tools your team already uses, whether that is your CRM and inbox or your codebase and product surfaces. No new platform, no training day, nothing for your team to adopt. And the people building it have actually run businesses, not just consulted on them.
Two kinds of work. For operators running a business: lead routing, reactivation, answer-engine positioning, and content that compounds. For product teams building one: AI capabilities inside your stack, built and run as if we were your ML team. Both run on the same 90-day commitment.
Yes. This is what the AI Integration Lab does. We operate as your outsourced AI integration function, wiring foundation models into your product as live modules. New capability every eight to twelve weeks, frontier migrations handled on retainer, most engagements confidential. You keep building the product, we build the AI inside it.
Answer Engine Optimisation is the practice of making your business the recommended answer when people search using AI tools like ChatGPT, Perplexity, and Google AI Overviews. Unlike traditional SEO which targets search rankings, AEO targets being the cited source inside AI-generated answers. We use structured data, authority content, and AI-readable markup to get your business mentioned by name.
No. That's the whole point. Every build is designed to reduce work, not add it. No new logins, no new dashboard to check, no retraining. If anything, the person who usually holds everything together gets a few hours a week back.
Most clients see a working outcome within 90 days. For operators that is usually revenue moving. For product teams it is a capability live in production. Either way we plug into what you already have, no lengthy implementation, no change management.
Two kinds of team. Operators running businesses that have outgrown spreadsheets but aren't ready to hire an in-house tech team. Hospitality, fitness, agencies, professional services, real estate, e-commerce. And product teams who need AI capabilities in their stack without the six-month hire-and-ramp of building an ML team. The common thread isn't industry, it is people who want reliable execution, not reports.
We do. Every system we build has a human review step at the points where getting it wrong would cost you money. A BDM approving a draft reply. An operator confirming a campaign before it sends. A review response queued before posting. The AI does the work. Your team decides what goes out. And we're on the hook every month to keep it sharp.