AGaaS - ready-made AI agents billed for the work they do
Do not want to build a system from scratch or teach your team yet another tool? We deliver ready-made agents that do the task and hand back the result - you pay for the work that gets done.
The problem we solve
The classic model is: buy a tool, train the team, operate it. AGaaS flips that logic - instead of a tool to do the work, you get the finished work. The agent runs the task end to end, you approve the result.
(If you want to understand the model first, start with the article what AGaaS is.)
What you get
- A ready-made agent for a specific task - handling tickets, qualification, documents, research, reports.
- Billing for the outcome, not for access to software.
- A human in the loop and full control - you see what the agent did and why, and you step in whenever you want.
- No vendor lock-in - no dependence on a single provider.
How it works
- We pick a task that is repeatable and measurable, one that can be handed to an agent.
- We set up the agent and oversight - boundaries, escalations, how results are approved.
- The agent takes the volume - it does 80% of the repetitive work, a human handles the exceptions.
- You pay for the work done and scale once you see the effect.
Who it is for
For companies that want the outcome without building and maintaining their own system - fast, with control, and without being tied to a single tool. Ideal to start: one repeatable, measurable process.
AGaaS works best where the result can be judged unambiguously - that is when "for the work done" means something concrete.
FAQ
How is AGaaS different from ordinary automation or RPA?
With AGaaS you pay for the work done, not for access to a tool. The agent runs the task end to end and hands back the result for approval, instead of leaving you yet another system to operate.
How much does AGaaS cost?
You are billed for the outcome - the work done - not for a software licence. The starting point is one repeatable, measurable process; the cost depends on its volume and complexity.
Do I lose control by handing a task to an agent?
No. A human stays in the loop: you see what the agent did and why, you set boundaries and escalations, and you step in whenever you want.
Where is the best place to start?
With one repeatable, measurable process where the result can be judged unambiguously.