AI that actually does the work
We build AI teammates that can read emails, update systems, search your documents, and finish multi-step tasks on their own — with clear logs of everything they did, so you always know what happened.
A chatbot replies. An AI agent takes action. We build AI agents that plan out tasks, use your tools, check their own work, and report back — freeing your team from repetitive work without handing off control. Most MVPs ship in about two weeks.
What you get
Plans before it acts
The agent breaks big tasks into small steps, checks each one, and retries if something goes wrong.
Uses your tools
Reads from and writes to the software your team already uses — spreadsheets, inboxes, CRMs, dashboards.
Remembers what matters
Keeps notes across sessions so it doesn't ask the same question twice or forget last week's context.
Always auditable
Every action is logged. You can replay, review, and course-correct any run.
Stack we use
Frequently Asked
What's the difference between a chatbot and an AI agent?
A chatbot answers questions. An agent does things — it plans, clicks buttons, updates systems, and keeps going until the job is done. Think of a chatbot as a receptionist and an agent as a junior team member.
Can an AI agent operate completely on its own?
For clearly defined tasks, yes. For anything with real money, customer-facing changes, or irreversible actions, we default to human approval. You can relax that later once you trust its track record.
What kind of work are AI agents actually good at?
Repetitive multi-step tasks: triaging emails, drafting replies, updating CRM records, researching prospects, reconciling data between systems, running weekly reports, and answering internal questions from documents.
How do you keep it from making mistakes?
Clear rules about what it can and can't touch, spending limits per run, automatic retries on errors, and a human review step on important actions. If something's unclear, it asks — it doesn't guess.
Can it control a browser or computer?
Yes. We build agents that can browse the web, click through sites, fill forms, and use web apps — safely, in isolated sessions, with a 'stop' button you can hit anytime.
How do you manage the cost as it runs?
We use cheap AI models for simple steps and only call the expensive ones when real reasoning is needed. Combined with spending caps per task, costs stay predictable and usually come in well under a human equivalent.
Book a free discovery call
Tell us a task that's eating your team's time. We'll come back with a rough design and a 2-week plan.