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Artificial intelligence solutions from AI agents to complex systems integrated into business processes.

ZenIS develops artificial intelligence solutions from AI agents to complex systems. Solutions are individually tailored and connected to the client's internal systems (CRM, ERP, communication platforms), providing automation, data processing and decision support. Deployment is possible both on the client's infrastructure (on-premises) and in the cloud, taking into account security requirements.

NLP
ML
LLM
RAG
GPT
Asistents
Automatizācija
Assistant
Automation
Platform
Analytics

Problem it solves

  • Addressing inefficient manual processes and information processing issues by automating communication, data processing, and decision support, thereby accelerating response times and improving user experience.

Business impact

The implementation of AI solutions provides an impact on the operational efficiency and customer experience of the company, covering both internal and external use scenarios. In internal processes, AI agents automate data processing, request classification, and information retrieval from various systems, reducing manual workload and allowing employees to focus on more complex tasks that require analytical thinking and decision-making. In external processes, AI agents integrated with customer communication channels provide 24/7 available, contextual, and personalized customer service, reducing response time and improving the quality of request processing.

How it works

1

Datu ieguve

They work as integrated digital assistants that process data from one or more business systems (CRM, ERP, communication platforms) in real time and execute defined business scenarios.

Who it is for

Customer support
IT
Sales
Logistics
Data analysis
Product management
Human Resources
Finance
Customer service representatives
Sales and Business Development Teams
Operational managers and process managers
HR and People Management (training, onboarding)
Support Services
Management

Indicative ROI calculator

Configured for CRM, sales and service workflow automation.

Indicative annual savings
23,306 €
Time freed monthly
74.7h
Hourly rate (EUR/h)
26 EUR
Estimate based on 10 team members and 320 customer requests per month. This scenario could free about 74.7 hours per month.

Client example

Scenario

An internal AI agent was developed for the client, designed to support employees in their daily work and training process.

At a glance

Delivery modelSaaS
Industries
RetailEnergyHealthcarePublic SectorFinanceLogisticsLegalAgricultureManufacturingTelecomReal EstateMedia & EntertainmentHospitality & EntertainmentPrivate SectorInsuranceE-commerceDistributionUtilitiesGovernmental organisationsFund / Grant
Maturity level
IdeaMVPPilot completedDeployedScaling

Technical details

AI technology
NLP and ML
Implementation requirementsSuccessful implementation of the solution requires a high-quality and accessible database (structured or semi-structured data), as well as clearly defined and standardized business processes. Access to the company's internal systems (such as CRM, ERP, document management systems) is essential for ensuring integrations.
Customization options
Highly customizableAPI availableUser interface adaptationMultilingual supportConfigurable dashboards / analytics

About the company

SIA ZenIS
SIA ZenIS
ZenIS offers full-cycle artificial intelligence solutions, from specialized AI agents to complex systems integrated into business processes. The development process begins with a deep analysis of business needs, as well as a data and process audit, evaluating data quality, availability, structure, and the level of process standardization to ensure that the AI solution is technically sound and provides measurable added value. During the development of solutions, modern machine learning, natural language processing (NLP), and automation approaches are used to create AI solutions that can process and analyze various data sources such as structured data, documents, correspondence, and business scenarios. These solutions can be integrated with internal and external systems (such as CRM, ERP, as well as communication channels such as WhatsApp, Facebook, etc.), ensuring a continuous flow of data and process automation. AI models are trained using the client's specific data, documentation, and defined scenarios, allowing the system to adapt to the specific business context. As a result, customers receive intelligent solutions that automate communication, support decision-making, optimize processes, and improve customer experience while reducing manual work and operational costs.
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Artificial intelligence solutions from AI agents to complex systems integrated into business processes.