AI automation that removes manual work.
LLM features, agents, document processing and workflow automation that remove manual work, not accountability.
Proposal
Fixed scope in 48h
First release
In 2 weeks
Team
Senior engineers
Ownership
100% of the code is yours
A typical AI workflow
we ship
- A person approves what matters
- Your data stays in your accounts
- Every answer traceable to a source
- Evaluations before every release
What we build
Six things teams hire us to automate with AI.
LLM features
in your app
01
Search, summaries, drafting and assistants inside the product you already run.
Document
processing
02
Invoices, contracts and forms read, checked and filed into your systems.
Agents and
workflows
03
Multi-step tasks across your tools, with approvals where they matter.
Search over
your data
04
Retrieval over your documents and records, with a source for every answer.
Support
automation
05
Drafted replies and triage for your support team, reviewed before they go out.
AI in your
existing tools
06
AI steps added to the CRM, ERP and back-office tools you already use.
Problems we solve
Sound familiar?
Most AI projects we join start with one of these. Each has a known fix.
Hours lost to copy-paste between systems
Workflow automation that moves the data and flags the exceptions for a person.
An AI demo that never reached production
Evaluations, guardrails and monitoring, so the feature can ship and stay reliable.
Answers nobody can check
Retrieval with sources, so every answer links back to the document it came from.
Worries about where the data goes
Providers and settings chosen for your data policy, set up on your own accounts.
Our AI stack
Boring where it counts. Modern where it helps.
Models
Retrieval
Application
Quality
Delivery
How an AI project runs
From first call to production.
01
30 min
Discovery call
Your product, users, data model and deadlines.
02
48 hours
Fixed-scope proposal
Architecture, milestones, delivery date and price.
03
Weekly
Sprints and demos
Staging from week one, a demo every week.
04
Launch
Handover or retainer
Repo, docs and deploys are yours. We can stay on.
AI FAQs
AI questions, answered.
Which AI models do you use?
We work with Claude and OpenAI models and pick per task, based on quality, cost and your data policy.
What happens to our data?
We choose providers and settings that match your data policy and set them up on your own accounts, so you control what is shared.
How do you keep AI output accurate?
Evaluations on real examples before release, a source for every answer, and a person approving anything that matters.
Do you maintain AI features after launch?
An optional support retainer covers model updates, monitoring, evaluations, fixes and new features.
Have an AI project in mind?
Four questions, two minutes. You get a fixed-scope proposal within 48 hours.