Applied AI studio
AI that thinks with your team.
We build agents that handle the repetitive, complicated work. Then we build the AI system your team can actually use. In hours rather than months.
Agents that do the work
Marketing, invoicing, compliance and the frustrating admin, running on your computers and in the cloud.
A system, not a demo
A software factory, guardrails and playbooks your team keeps using long after we leave.
Training for everyone
Live sessions, decks, prompt packs and videos, so every role knows how to use AI well.
Wherever you are today
From zeroto fully agentic.
It doesn’t matter what you run on or how much AI you use now. Pick where you are and we’ll show you the route.
Where you are
Most work lives in email threads and spreadsheets. AI is something people talk about at lunch.
What we do next
- Map your ten biggest time sinks in a two-hour workshop
- Ship one agent on the worst of them within 48 hours
- Give everyone a safe, approved AI workspace
The pace
Hours,not months.
Coding agents, ready-to-use prompts and a team that has shipped this many times before. What used to be a quarter-long project is now a week. What used to be a week is now an afternoon.
What the agents do
The frustrating work, handled.
Every agent has one clear job, a named owner on your team, and a log you can read. They work while you sleep and ask for help when they should.
Marketing
Campaigns, posts, videos and newsletters from your templates and data.
Invoicing
Reads invoices, matches POs, chases late payers and posts to your accounting system.
Compliance
Checks documents against the rules and drafts the fixes as tracked changes.
Inbox & support
Triage, draft replies, update the CRM and hand the tricky ones to a human.
Websites & apps
Builds and maintains sites, internal tools and mobile apps on request.
Reporting
Pulls numbers from every system and writes the Monday report before you wake up.
Research
Market scans, competitor tracking and due diligence with citations.
Data entry & ops
Uses your desktop apps like a person would: copy, paste, reconcile, file.
Where agents live
On your computers, and on the internet.
- Desktop agents
Work inside the apps your team already uses, including the old ones with no API.
- Cloud agents
Run around the clock on schedules and triggers, on your own cloud tenancy.
- A secure bridge
Scoped permissions, approvals and a full audit log for everything an agent touches.
What you’re left with
A system,not a demo.
What most AI projects leave behind
- A demo video for the board
- A half-finished app nobody maintains
- A prompt doc nobody reads
- A team that still does it the old way
What VAI leaves behind
- Agents in production with owners and logs
- A software factory so teams build their own tools
- Guardrails, evals, approvals and audit trails
- A trained team and a library they keep using
- Agentic learning loops, so it gets better every week
The flagship week
One week.One flagship.
Every engagement starts with a product your whole company can use by Friday. It proves the value, sets the patterns, and gives your team something real to learn on.
- Mon
Map
Workshops with each team. We find the work worth automating and pick the flagship.
- Tue
Design
Architecture, data access, security model and the screens your team will use.
- Wed
Build
Agents and coding pipelines do the heavy lifting. You see progress live.
- Thu
Harden
Evals, permissions, logging and approvals. Real data, real edge cases.
- Fri
Train
Go live, run the training sessions and hand over the playbooks.
Selected work
Built, shipped and still running.
All case studies- Spec written
- App built
- Tests passed
- Security scan
- Deployed
- Behind VPN · live in 18 min
A software factory for a South African fintech
An automated trading platform that replaced an email desk
An internal marketing engine built on decades of launches and media
Proactive compliance, built to scale to thousands of documents
Marketing videos and content with no babysitting
Apps, websites and agents in a week, with the training to match
Models & security
Claude, ChatGPT and open source. Used properly.
Claude
Our default for agents, coding and long documents. Claude Code and MCP power most of our builds.
ChatGPT
Where many teams already work. Custom GPTs, assistants and realtime voice, set up properly for business.
Open source
Llama, DeepSeek and Qwen running privately on your own hardware when data can’t leave the building.
Agents learn from corrections and results, measured by evals.
One standard way to connect models to your tools and data.
Answers grounded in your own documents, with citations.
Every agent is tested before and after it ships.
Approvals wherever money, customers or data are at stake.
Untrusted content can’t give your agents orders.
Personal data is masked before it reaches a model.
On-prem or private cloud deployments when you need them.
Everyone sees only what they should, and everything is logged.
Enterprise agreements so your data never trains a model.
Built with local data protection rules in mind.
Agents that operate desktop apps that have no API.
Move atraptor speed.
Thirty minutes. We map where you are today, pick the first agent worth building, and show you what your company looks like once AI is part of how everyone works.