AI agents
Agents that take actions across your tools, with approvals where it matters.
Not demos. Smart systems that learn, adapt and run inside your real processes, with people in control.
We map your data and rank AI use cases by return.
A proof of concept on your real data in weeks.
Secure, integrated and approved by your team.
Monitor accuracy, cost and risk, then expand.
With one high-value use case. We rank options by return and effort, then prove the best one on your real data.
Yes. We choose secure, private setups and never use your data to train public models.
Usually 3–6 weeks, with clear success measures agreed up front.
We choose per task: OpenAI, Claude, Gemini or open-source models you can host privately.
Software that understands a request, looks up information and takes actions in your tools, such as updating a CRM or drafting a reply, with a person approving anything important.
A focused pilot on one task is usually the best start. We give you a fixed price in writing after a free discovery call, along with the time it should save.
Before we start, we measure how long the task takes today. After launch we track hours saved, error rates and response times, so you see the return in numbers.
We ground answers in your own data, show sources, add checks and keep a person approving anything that matters. Every action is logged.
Yes. We connect to common tools like Microsoft 365, Google Workspace, Salesforce, HubSpot, Shopify, QuickBooks and Slack, plus custom systems.
Often partly. We review it first and clean or connect only what the chosen use case needs.
We will tell you honestly what it would take and what it would return.