AI Automation
Custom AI systems built around your data
Some problems need more than a ready-made tool: an AI feature inside your own software, a model that understands your documents, or an assistant that works with your private data. We design and build these systems, including the data, the interface and the guardrails.
What we build
What's included
AI features in your software
Summaries, extraction, search and drafting built into the applications your team already uses.
Document understanding
AI that reads scans, photos and PDFs, extracts what matters, and checks it against your records.
Knowledge systems
A searchable memory of your business: documents, past work and decisions, available to people and to AI tools.
AI cost and quality controls
Usage metering, spending caps and evaluation, so AI features stay affordable and reliable.
AI systems we have built
- A legal assistant whose answers cite the source documents they come from
- AI optical character recognition for scanned documents and photos
- AI printability analysis and catalog tagging for a 3D printing studio
- A knowledge base that writes in its owner's voice and only claims what it has on record
What we build
Three kinds of custom AI system
Custom AI is for the problems a ready-made tool cannot solve: your documents, your data, your rules, inside your own software.
AI features inside your software
Summaries, extraction, search, drafting and classification built into the applications your team already uses, with your data as the source.
Document understanding
Systems that read scans, photos and PDFs, extract what matters, check it against your records and raise what looks wrong.
Knowledge systems
A searchable memory of your business: documents, past work and decisions, available to people and to AI tools through one interface.
Your data stays yours
Where the models run and where the data lives
The right answer depends on your data and your industry. We design for it rather than defaulting to one provider.
Options we build with
- OpenAI and Anthropic models with data excluded from training
- Azure AI Foundry inside your own Microsoft tenant
- Private deployments in your cloud account
- Usage metering and spending caps per feature and per customer
Grounding
Answers come from your data, with citations, so they can be checked.
Evaluation
A test set of real cases that every change is measured against before it ships.
Cost control
Metering and caps, so an AI feature stays affordable at scale.
Ownership
The code, the prompts, the data and the accounts belong to you.
On record
AI systems we have built
A few of the systems running today, each with AI doing a specific job inside a larger product.
- 01A legal assistant whose answers cite the documents they come from
- 02AI reading of scanned documents and photos inside a business platform
- 03AI printability analysis and catalog tagging for a 3D printing studio
- 04An agency knowledge base that writes in its owner's voice and only claims what is on record
- 05AI content and image generation for a fashion catalog, under a budget cap
How it works
From first conversation to running system
You only commit to the next phase once the last one has paid off.
- 1
Audit
FreeA short written review of where your time goes and what to automate first.
- 2
Pilot
Fixed scopeOne workflow, built on your real data, running in production. You see results before committing to more.
- 3
Build
Per phaseWe extend what worked across the process, with logging and a person in the loop.
- 4
Run
MonthlyWe monitor, fix and improve what we built, and report what it handled.
Start here
Find out what to automate first, for free
You tell us
- What your business does
- Which tasks take the most time
- The tools you use today
You get back
- 3 to 5 concrete automation opportunities
- A rough effort and payoff for each
- Which one to pilot first, and why
Free. Reply within one business day. No obligation.
Tools
What we work with
We choose tools to fit your systems and security needs, not the other way around.
- Claude API
- OpenAI
- Azure AI Foundry
- Next.js
- Supabase
- PostgreSQL
- TypeScript
Work
Related work
Agency operating system
Nucleus
The system we run Adivius on: clients, leads, publishing and invoicing, with an AI knowledge base and connected tools for content and analytics.
Next.jsTypeScriptSupabasePostgreSQL
Modular business platform
Adiva
A multi-tenant business platform for small and mid-sized companies: one core with modules for operations, documents, warehouse, logistics, HR, finance, legal and sales.
Next.jsReactTypeScriptSupabase
Instant quotes and studio console
3DO
A 3D printing business where customers upload a model and get a price instantly, and the studio runs leads, orders and print jobs from one console with AI checks.
AstroNext.jsSupabaseClaude API
FAQ
Custom AI Development: common questions
Who owns what you build?
You do. The code, the data and the accounts it runs on are yours.
Can the AI run on our own infrastructure?
Yes. We can deploy into your cloud, use Azure AI Foundry inside your Microsoft tenant, or run with providers that keep your data out of model training.
How do you keep AI answers accurate?
By grounding them in your data, citing sources, testing against real examples, and having the system say when it is not sure.
Find out what you could automate
Tell us about the work that takes your team the most time. We come back with concrete opportunities and a rough effort for each. No cost, no obligation.