About Giva
Giva is a help desk software from Giva that focuses on customer service and IT service management. It includes features such as customer service, help desk, IT service management, and standalone IT change management, so organizations can manage support more effectively. Giva is AI-driven and HIPAA compliant, making it suitable for industries that require strict data privacy measures. With a median customer retention of 12.8 years, Giva has proven reliability among its users. Key capabilities: customer service help desk IT service management standalone IT change management all products Best for: organizations that need a comprehensive solution for managing IT support and customer service needs.
Giva Details
Giva's In-App Market Place
Does Giva have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), INR (₹), CNY (¥), MXN (Mex$), BRL (R$), RUB (₽), ZAR (R), HKD (HK$), CHF (CHF), SGD (S$), SEK (kr), NZD (NZ$), KRW (₩), NOK (kr), TRY (₺), DKK (kr), PLN (zł), TWD (NT$), THB (฿), IDR (Rp), CLP (CLP$), AED (د.إ), SAR (﷼), MYR (RM), HUF (Ft), CZK (Kč)
Pros & Cons
- AI Copilots to automate tasks, provide real-time assistance to agents, and improve overall efficiency. This can significantly boost productivity and reduce resolution times.
- User-friendly interface with an intuitive design.
- Prioritizes customer satisfaction with features like self-service options, quick resolution times, and proactive issue identification.
- Covers a wide range of needs, including ticketing, customer service, IT service management, change management, and asset management.
- Provides robust reporting and analytics capabilities with customizable dashboards and easy-to-use reporting tools.
- While AI can be beneficial, there is always the potential for bias in AI algorithms, which could impact service delivery and customer experience.
- Over-reliance on AI could potentially lead to unintended consequences if the AI models are not properly trained or maintained.