Hyperautomation: RPA and AI agents in one platform.

Automate processes end to end by uniting RPA, AI agents and document processing. Where traditional RPA breaks when the process changes, the agents adapt. European compliance by default.

−70%Average time per process
< 6 monthsReturn on investment
24/7Uninterrupted operation

WHAT IT IS

From the single task to the full process.

Hyperautomation is the combination of RPA, AI agents, intelligent document processing (IDP) and process orchestration to automate business processes end to end, not isolated tasks. Classic RPA automates a click; Twinny automates the whole process —deciding with context, executing in your systems and escalating to a human when needed—. The difference with your current bots? When the process changes, the agent adapts instead of breaking.

See the full comparison: Twinny vs UiPath →

CAPABILITIES

Everything a truly automated process needs.

It's not a bot that repeats. It's a layer that decides, executes, reads documents, connects to your systems and keeps everything audited.

Intelligent RPA

Automate high-volume repetitive tasks and coexist with your existing RPA bots. When a bot breaks after a system change, the agent takes over the step by reasoning with context, without rewriting a script.

End-to-end agentic automation

AI agents that orchestrate processes end to end: they receive the trigger, decide each step according to your policies, execute in your systems and escalate to a human when there is ambiguity.

Document processing (IDP)

Reading and understanding of unstructured documents —invoices, contracts, files, forms— to extract data, validate and trigger the corresponding action without rigid templates.

Connection to your systems

Native connectors to SAP, Dynamics, Odoo, ServiceNow, Salesforce and HubSpot; REST/GraphQL API; SQL and NoSQL databases; and custom adapters for legacy systems. Real-time transactional read and write.

Governance and traceability

Every agent decision is logged with its reasoning and is exportable to your SIEM. Granular permissions per process, step and operator. Dual human validation on critical actions.

European compliance by default

Data in European cloud, EU AI Act risk-level classification, GDPR and SOC 2 by default. Compliance is not a layer you add: it comes included.

HOW WE WORK

From idea to operation, with a business case upfront.

We don't start developing until the numbers add up. Each phase has a concrete deliverable.

  1. 01

    Discovery

    We identify the highest-return processes. We map volume, exceptions, systems involved and where your current RPA breaks.

  2. 02

    Business case

    We quantify the time and cost savings, expected payback and risks. You get figures before committing a euro of development.

  3. 03

    Development

    We build the process with AI agents, connect your systems, reuse your RPA bots where they make sense and validate with real data.

  4. 04

    Operation and evolution

    We monitor quality, latency and human escalation. The agent adjusts to changes; we evolve the process with you.

EXAMPLES BY INDUSTRY

Real processes, not generic demos.

Healthcare

Patient claim: the agent classifies the case, checks the EHR, decides whether compensation applies per policy, executes the billing adjustment and communicates the resolution.

Professional services

Client onboarding: the agent runs KYC, validates legal documentation, creates the contract in the ERP, sets up access and communicates the first step. End-to-end with no manual forms.

Industrial

Plant incident: an IoT sensor triggers the ticket, the agent diagnoses using the fault history, assigns a technician by specialty, follows the case to closure and updates the maintenance ERP.

Education

Automated enrolment: the agent validates documents, calculates the grant by criteria, assigns a place in the academic ERP and notifies the student via WhatsApp. Closed in minutes.

FREQUENTLY ASKED QUESTIONS

What your operations and IT teams ask.

What is hyperautomation?

Hyperautomation is the combination of RPA, AI agents, intelligent document processing (IDP) and process orchestration to automate business processes end to end, not isolated tasks. Twinny applies it by uniting AI-driven decisions with execution in your real systems (CRM, EHR, ERP).

Does it replace my current RPA bots?

Not necessarily. Twinny works alongside your RPA bots and invokes them as one more step within an agent-governed process. Where RPA is efficient (stable, deterministic tasks) it stays; where it breaks (changes, exceptions, documents), the AI agent takes over.

How soon do you see the return?

The business case is delivered before development. In high-volume processes, the return usually arrives in under 6 months, with time-per-process reductions of up to 70%. Exact figures depend on your volume and the current cost of the process.

How does it connect to my ERP or legacy system?

If your system has a REST/GraphQL API we use standard connectors. If not, we build custom adapters with authenticated scraping, ETL or middleware. Cases solved before: SAP R/3, AS/400, COBOL mainframes and legacy RPA systems.

What about GDPR and EU AI Act compliance?

By default. Data is hosted in European cloud, every decision is logged with its reasoning and the deployment is classified by EU AI Act risk level. For critical decisions we configure dual human validation.

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.