Orchestrate every channel
from one intelligent
layer.
In 30 minutes we'll show you how Twinny connects to your operation and starts delivering results from week 1.
Agentic automation: AI agents that decide and execute.
The evolution of RPA: instead of following fixed rules, agents reason with context, decide the next step and execute in your systems, adapting when something changes.
Agentic automation uses AI agents that interpret a goal, reason with context, decide each step and execute actions in your systems —without a rigid script—. It is the difference between a bot that repeats and an agent that understands. Gartner calls it the new era of automation. At Twinny, agents orchestrate the process end to end, reuse your RPA bots where it makes sense and escalate to a person when there is ambiguity.
Twinny automates any business process by combining RPA + AI in a single platform, with a high ROI: typical payback in under 6 months.
−70%Average time per process
< 6 monthsReturn on investment
24/7Uninterrupted operation
WHY TWINNY
What you get.
Reasons, does not repeat
It interprets intent and decides the next step per your policies, instead of following a fixed flow.
Executes end to end
It acts in your CRM, ERP or EHR and closes the case. It coexists with your current RPA bots.
Auditable and governed
Every decision is signed with its reasoning and exportable to your SIEM.
HOW WE WORK
From idea to operation, with figures upfront.
- 01
Discovery
We identify the highest-return process and where time is lost today.
- 02
Business case
We quantify savings and payback before developing. You get figures upfront.
- 03
Development
We build the agent, connect your systems and validate with real data.
- 04
Operation
We monitor quality and human escalation. The agent adapts to changes.
FAQ
Common questions.
What is agentic automation?
Automation based on AI agents that reason with context, decide and execute actions in your systems, adapting when the process changes, instead of following fixed rules like RPA.
Does it replace RPA?
It complements it. It keeps RPA where it is efficient (stable tasks) and AI takes over the steps with exceptions, decisions or documents.
Is it reliable for critical processes?
Yes: per-decision traceability, granular permissions and dual human validation on critical actions.