ZOFIQ develops AI-driven automation tools for managed service providers and IT teams, enabling instant setup of workflows that require no maintenance. The platform reduces ticket resolution time and volume by automating repetitive tasks and providing technicians with relevant information directly within their ticketing systems.
Funding
$160K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
AKANASAUFounders
Product
Problem
Managed service providers (MSPs) and IT teams often struggle with repetitive, time-consuming tasks that lead to inefficiencies and increased ticket resolution times. Traditional robotic process automation (RPA) solutions require complex setup and ongoing maintenance, adding to the workload instead of alleviating it. Alert fatigue and lack of readily available information further hinder technicians' ability to resolve issues quickly.
Solution
ZOFIQ offers an AI-driven automation platform designed to streamline IT workflows and reduce the burden of repetitive tasks for MSPs and IT teams. The platform provides instant setup of pre-built automations that adapt to existing processes without requiring manual configuration or maintenance. By automating common ticket types and providing technicians with relevant information directly within their ticketing systems, ZOFIQ reduces ticket resolution time and minimizes alert fatigue. Proactive automations identify and resolve potential issues before they escalate into tickets, further reducing reactive hours.
Target Audience
The primary target audience includes managed service providers (MSPs) and IT teams seeking to automate repetitive tasks, improve efficiency, and reduce ticket resolution times.
Features
- Instant setup of automated workflows without the need for complex configuration
- AI-powered automations that automatically adapt to changing processes, eliminating maintenance requirements
- Faster ticket resolution through automated tasks and readily available information
- Centralized AI alerting to reduce alert fatigue and ensure actionable alerts are prioritized
- Proactive automations to prevent issues before they generate tickets
- PSA and RMM agnostic, integrating seamlessly with existing ticketing systems
- "Path to Resolution" notes providing technicians with scripts, customer information, and resolution steps from trusted knowledge base sources