Clear answers on the build, the budget and what happens to your data.
Custom AI agents for specific business workflows. Not a chatbot bolted onto your website — an agent that reads your systems, makes decisions inside rules you set, takes action, and reports back through Slack, Telegram, WhatsApp or email. Every engagement is scoped to one real process you already run.
Projects start at $4,000. The final number depends on how many systems the agent touches and how much judgement it needs to exercise. You get a fixed price in writing after the discovery call, before any code is written — we don't bill by the hour and we don't send surprise invoices.
A focused single-workflow agent typically ships in two to four weeks. Anything touching several systems, or needing sign-off from compliance or security, runs six to ten weeks. The written scope commits to a date.
You do. Every engagement hands over the source, the configuration and a runbook. It runs on infrastructure you control, and if you later want to maintain it in-house or hand it to another team, nothing in our arrangement prevents that.
Your agent runs in your cloud account or on a dedicated host. If your workflow uses an external AI provider, the information it needs may be processed by that provider. We agree on model providers, access permissions and data handling during scoping. For stricter requirements, we can discuss self-hosted models.
Whichever fits the job and your constraints — Anthropic, OpenAI, Google, or open-weight models running entirely on your own hardware where data residency demands it. The agent is built so the model is a swappable component, not a foundation you're stuck with.
Often the best outcome. We scope, build the first agent alongside your engineers, and document it so your team owns everything afterwards. The handover includes source code, configuration and a runbook so your team can maintain and extend it.
We'll say so on the discovery call. Plenty of workflows are better served by a scheduled script, a cleaner integration, or fixing the process before automating it. Telling you that costs us one project and saves you a great deal more.
Absolutely, and if you have the engineering time we'd encourage it — OpenClaw is open source and our setup guides on the blog walk through the whole thing. We're for teams who want the outcome without spending their own engineers on getting there.