Your team spends hours on work a well-built workflow could handle.
We find the repetitive work in your product and operations and automate it, with AI where it's reliable and plain code where it isn't. Every automation ships with guardrails, logging and a human in the loop wherever a mistake would be costly.
This is for you if…
- 01
Your team copies data between tools
People re-key information from emails, PDFs and spreadsheets into other systems every day.
- 02
You want AI in your product, sensibly
Customers expect smarter features, and you want ones that work every time, not just in a demo.
- 03
An AI tool already let you down
It worked in testing, made mistakes in production, and now nobody trusts it.
- 04
Processes don't scale with headcount
Every new customer adds manual steps, and hiring has been the only answer so far.
What you get.
- D-01
Workflow audit
We map where the time goes and rank automation candidates by value and risk.
- D-02
Production automations
Workflows and agents that run on your data, inside your tools, with clear failure handling.
- D-03
AI product features
Classification, extraction, drafting and summarization built into your app.
- D-04
Guardrails and review steps
Validation, confidence checks and human approval wherever an error would hurt.
- D-05
Monitoring and cost controls
Logs, alerts and usage limits so you know what the automation did and what it cost.
Tools we fly with.
- Models
- OpenAI
- Anthropic
- Open models
- Orchestration
- Node.js
- Python
- Queues
- Scheduled jobs
- Integrations
- Slack
- Google Workspace
- HubSpot
- Stripe
- Zapier
- Make
- Webhooks
- Data
- Postgres
- Supabase
How this mission runs.
- 01Week 1
Map
We sit with the people doing the work and find the steps worth automating.
- 02Weeks 2–3
Prototype
We build the highest-value automation against real examples and check how often it gets them right.
- 03Weeks 3–4
Harden
Guardrails, error handling, review steps and monitoring before it touches live work.
- 04Week 5 onward
Roll out
A gradual rollout with your team, then the next automation on the list.
// Typical timings. We confirm yours in the written mission plan.
Proof, from the field.
- MSN-05Marketing / data services
FirstPulse
2 monthsTurning a white-glove agency service into a self-serve product, with a shared data lake, a signal-driven marketing engine and a partner channel that sells it.
Read the mission - MSN-02AI training data
HistoryPays
4 weeksAn affiliate platform built from scratch in four weeks, with commission rules every partner could shape.
Read the mission
Questions we hear.
Something else on your mind? Ask it on the call. That's what it's for.
Book a callWill this replace people on my team?
Usually it removes the tedious part of their job, and they spend the time on work that needs judgment.
What if the AI gets something wrong?
We design for it. Outputs are validated, uncertain cases go to a person, and every action is logged so mistakes are caught and traced.
Do you build chatbots?
Only when a chat interface is the right fit. Most of the value we see comes from automations that run quietly in the background.
Is our data used to train AI models?
We configure providers so your data isn't used for training, and we'll show you exactly where it goes.
Which AI provider will you use?
Whichever fits the task on accuracy, cost and data requirements. We keep it swappable so you're not locked in.
Show us the work that eats your week.
Walk us through the process. We'll tell you what's worth automating and what isn't.