What does it cost to start?
You start small, with one team and a time-boxed first phase. There's no platform license and no year-long program. We map the repetitive tasks worth automating, then ship the quick wins as they're ready, each measured against the manual baseline. You decide whether to scale only after you've seen the wins.
How fast do we see a return?
Within weeks. Quick wins ship first: focused agents for repetitive tasks such as manual checks or data copied between systems. Each one is measured against the task it replaced, so the hours saved are a number you can check, not an estimate. Custom builds and the shared Core follow once those wins have proved the value.
Do we have to cut staff?
Not necessarily. The hours saved can be used either way: some companies run leaner, others keep the team they have and amplify what it can do. That choice is yours. Our calculator shows the gain as the equivalent of extra people added to your organization.
How is this different from another AI tool?
Most firms buy dozens of disconnected AI tools that save nothing measurable. We build one shared foundation instead: a governed knowledge base holding your company's rules, data and know-how. Every agent draws from it, so each new use case is cheaper to build than the last and the value compounds.
How is the productivity gain measured?
Every agent is measured against the manual baseline of the task it replaced: how long the work took by hand, and how long it takes now. That gives hours saved per person per day, which our calculator turns into equivalent extra capacity for your team size. The average gains are 7% for quick wins, 22% for custom builds and 59% for Core.