Twinny runs complex processes end to end with advanced AI models, fine-tuning over your data and native connection to your systems: APIs, databases, ERPs and internal applications.
Design multichannel automations by dragging nodes: messages, assignment, timers, stages.
KEY CAPABILITIES
Each request enters as a ticket with states, conditional branching, SLAs and predefined escalation. End-to-end traceability.
GPT-4 class and specific models fine-tuned on your historical data. Continuous evaluation and automatic rollback if quality drops.
REST and GraphQL APIs, SQL and NoSQL databases, ERPs (SAP, Dynamics, Odoo), EHRs and CRMs. Real-time transactional read and write.
From the trigger (email, call, form, system event) to the closing. No unnecessary manual handoffs.
EVERYTHING INCLUDED
TYPICAL USE CASES BY INDUSTRY
Automated enrollment: the agent receives the request, validates documents (ID, transcript), computes scholarship by criteria, assigns a spot in the academic ERP and notifies the student via WhatsApp. Closed in minutes with no forms.
Patient claim: the agent classifies the case, consults the EHR to verify the clinical history, decides if compensation applies under policy, runs the adjustment in the billing system and communicates the resolution.
Plant incident: an IoT sensor opens the ticket, the agent diagnoses with the failure history, assigns a technician by specialty and availability, tracks the case to closure and updates the maintenance ERP.
Customer onboarding: the agent runs KYC, validates legal documentation, creates the contract in the ERP, configures portal access and communicates the first step to the customer. End-to-end with no manual forms.
FREQUENTLY ASKED
Zapier or n8n run deterministic if-then chains: if A happens, do B. Intelligent processes run chains where each node is an AI agent that reasons with context, decides the next action and can ask a human for help when there is ambiguity. Plus fine-tuning on your data for repetitive cases.
GPT-4 class by default for multi-step reasoning. Specific models fine-tuned on your data for repetitive, high-volume tasks. We maintain an internal benchmark and rotate to the best provider per task (OpenAI, Anthropic, Mistral, Llama, in-house).
Yes. We process your historical tickets, internal procedures and technical documentation to create an agent trained on your real operation. Data stays in EU infrastructure and is never used to train third-party models.
If your system has a REST/GraphQL API, we use standard connectors. If not, we build custom adapters with authenticated scraping, nightly ETL or middleware. Prior cases: SAP R/3, AS/400, COBOL mainframes, legacy RPA systems.
Every decision is logged with the model reasoning. If an error is detected, automatic rollback of the affected step. For critical decisions (financial, healthcare, legal) we configure dual validation: the agent proposes, a human confirms before executing.
In 30 minutes we'll show you how Twinny connects to your operation and starts delivering results from week 1.