Creator economy, product engineering
1 week
AI that knows your business.
Assistants, search and automation built on your own documents and data, connected to the tools your team already uses. Designed, built and run by our own engineering team, starting with one workflow that matters.
What we handle
AI where it pays for itself: inside your product, on your data and across your team’s daily work.
Departures: what we integrate
CodeBuildWhat you getStack
AI in your productFeatures your customers use: smart search, summaries, drafting and assistants.Claude · OpenAI · your stack
AI on your dataAnswers from your documents, databases and tools, showing where each answer came from.RAG · vector search
An assistant for your whole teamOne assistant that knows your company, with access controls so people only see what they should.SSO · permissions
Agents and automationMulti-step work across your tools: triage, data entry, follow-ups and reports.Agents · APIs · n8n
Connected to your systemsYour CRM, helpdesk, ERP, databases and internal tools, through their APIs.APIs · webhooks
Testing and guardrailsAnswers checked against real questions before staff and customers rely on them.Evals · monitoring
From one workflow to the whole company
We start small, prove it on real work, then roll out what works.
- Use-case call
Thirty minutes on where AI would save time or money for you, and where it would not. Free.
- Data and systems review
We look at the data and tools involved and write down what the AI can use, and how.
- Pilot on one workflow
One real use case, built and live with real users, so you judge it on results, not a demo.
- Roll out and improve
We extend what works to more teams and tools, and keep measuring the answers.
Three ways to start
Every option includes a project manager, the weekly Loud Report, and code that belongs to you.
Pilot
One use case, built and live with real users, so you see what AI does for your business before you go further.
Start small
Integration project
A scoped build: AI added to your product or systems, with features, timeline and price agreed upfront.
Plan and price first
AI team
AI engineers on a monthly plan, embedded in your team, for companies building AI into everything they do.
Monthly
Why not just buy an AI tool?
Off-the-shelf tools are a good start. Here is where they stop, and how a consultancy compares.
| Factor | Off-the-shelf AI tools | Big consultancy | LoudlyDev |
|---|---|---|---|
| Knows your business | Only what you paste in | After a long discovery | Built on your own data |
| Works with your systems | Through whatever connectors exist | Yes, at consultancy rates | Connected to the tools you use |
| Who builds it | You do | Often subcontracted | Our own engineering team |
| Proof before you commit | A free trial | A strategy deck | A pilot live on real work |
| After launch | Their roadmap | A new statement of work | We run and improve it, or hand it over |
You always know where it stands
Every Friday the week lands in your inbox: what shipped, what is blocked, the hours, and next week's plan.
See a full sample reportLoud Report, week 14Sample
9PRs merged
14tickets closed
40hlogged
ShippedCheckout flow refactor
ShippedPayment webhook retries
BlockedWaiting on API keys from the client
Built and shipped
Real products, live today. Every one of them reported weekly, out loud.
Consumer apps, staff augmentation
1 month
Tinder: enhancements to the Matches module, shipped in one month
Dating, product engineering
4 weeks
AirYoda: social audio matchmaking app for iOS and Android, launched in four weeks
Before you start
Straight answers on time, money, people and IP.
Do we need clean data first?
No. Part of the review is finding out what your data can support today. We start with a use case your data is ready for and tell you what would make the next one better.
How do you stop it making things up?
We ground answers in your own documents and data, show where each answer came from, and test the system against real questions before anyone relies on it.
Can it work with the tools we already use?
Usually, yes. If a tool has an API we can connect it, and we confirm what is possible in the data and systems review before you commit to a build.
Who owns what you build?
You do, from the first commit. Code lives in your repositories, we sign an NDA before you share details, and every contract assigns all code and IP to you.
How do we start small?
With a pilot: one workflow, built and live with real users. If it earns its place, we roll it out further. If not, you have spent little to find out.
Tell us where AI should help.
Or email admin@loudlydev.com. We reply within 4 business hours.