targenio Assistance Platform

targenio Assistance Platform yra paremtas targenio

targenio stiprina vidutinio dydžio pramonės įmones per technologinę pažangą klientų aptarnavimo srityje.<br/>Automatizuojame paslaugų užklausų tvarkymą su skaitmeniniais asistentais tarptautinėms automobilių, aviacijos ir mechanikos inžinerijos sektorių įmonėms. Targenio asistento platforma suteikia galimybę organizacijoms projektuoti, diegti ir valdyti adaptyvius asistentus, pritaikytus jų aptarnavimo procesams.<br/><br/>Mūsų sprendimai reiškia draugiškumą, nes skaitmeniniai asistentai turi būti tokie pat empatiški, kaip ir žmonės, kurie juos naudoja. Jie stovi už laisvę, nes padėjėjai teikia palengvėjimą, nepašalindami kontrolės. Ir jie stovi už pažangą, nes taikome šiuolaikines technologijas, kad paslaugų darbas būtų lengvesnis, greitesnis ir geresnis.

Atraskite targenio

Kodėl Automate service processes and scale customer experiences?

The targenio assistant platform digitises and automates customer service processes through modular assistants, integrated AI and flexible workflows. Companies accelerate processes, increase service quality and achieve measurable efficiency gains. Ideal for organisations that want to manage complex service processes in a scalable way.

AI assistant platform interaction diagram

Privalumai

The knowledge pool is created dynamically: the assistant searches through data and answers queries. If it cannot find a suitable answer, an expert takes over. Their answer automatically expands the knowledge pool and is immediately available for future use.
Assistants handle standard cases quickly and confidently. They guide customers through processes, provide clear recommendations and increase the first-time resolution rate. Service managers benefit from stable, scalable processes with consistent quality.
Experts are only involved when specialist knowledge is really needed. They correct or supplement answers, thereby further enriching the knowledge pool. This reduces effort, improves quality and takes the pressure off the team.
Engineers configure rules, data flows and integrations. They ensure that the assistant accesses up-to-date information and acts correctly. Changes can be rolled out quickly and with minimal risk.
Trainers analyse case histories, check response quality and optimise decision-making logic. They ensure the continuous development of the system and provide measurably more stable KPIs in the service team.

Pagrindinės Funkcijos

Task management and task prioritization UI

Digital assistants with AI

The assistants are based on modern language models (LLMs), algorithms and extensive domain knowledge in order to understand natural language and make targeted enquiries.

Workflow diagram for skill orchestration

Adaptive skill architecture

Skills - i.e. specialised skills - are offered in different variants (rule-based, ML-based, mixed, external skills). The degree of automation increases continuously with each new or improved skill.

Low code / no code integration

Users can customise the assistant to their needs via intuitive dashboards and configuration options.

Tasks dashboard with statistics and graphs

Human-machine collaboration

Trainers continuously optimise the quality and efficiency of the assistants via the trainer cockpit. Experts can view relevant information and options for action in the expert view and thus continuously train the assistant.

Incident report form with chat interface

Multi-channel customer interaction

The assistant can be used flexibly and interacts directly with customers via chats, web forms, customer portals or e-mail.

Praktinis Pritaikymas

Select...

Making machine service knowledge accessible

Service knowledge is distributed across many systems and tied to individuals. The assistant searches technical data sources, answers machine-specific queries and involves experts when needed. Expert feedback automatically enriches the knowledge base, enabling precise service answers within seconds.