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What is Servicely?

Servicely provides a cloud-based solution for enterprise service management, tailored for organizations managing IT and employee services across multiple departments. This platform combines a service management system with AI-powered agents that streamline service tasks through defined workflows. IT teams can effectively manage incidents, requests, changes, problems, knowledge management, service catalogs, and other associated processes, while also expanding service delivery capabilities to include human resources, finance, and legal functions. With features like customizable workflows, automation tools, approval mechanisms, and service portals, employees can engage through web interfaces and communication platforms such as Microsoft Teams and Slack. Aimed at enterprises looking to optimize service operations on a consolidated platform, Servicely not only updates IT service management practices but also automates mundane tasks, all while preserving human oversight for critical decisions and actions. This comprehensive approach not only boosts operational efficiency but also enhances interdepartmental collaboration, leading to a more integrated organizational environment. By facilitating seamless communication and efficient workflows, Servicely empowers organizations to adapt to evolving service demands.

What is Espressive Barista?

Espressive's Barista Agent Co-Pilot is an AI-powered solution designed to enhance service desk productivity by seamlessly interfacing with various platforms such as ServiceNow, CXone, AWS Connect, and Genesys. It features capabilities like New Ticket Enrichment, which utilizes AI to predict ticket information and retrieve relevant knowledge, alongside Barista Live Translation that facilitates effective multilingual communication among agents. Agents can easily engage with BaristaGPT during their ticket or chat interactions, giving them swift assistance and automation options. Additionally, the solution includes Automatic Knowledge Generation, which creates new knowledge articles from resolved tickets, thereby improving future problem-solving capabilities. By lowering the mean time to resolution (MTTR), increasing first call resolution rates, and minimizing escalations, Barista Agent Co-Pilot greatly enhances agent efficiency while also simplifying the onboarding process for new employees. This innovative tool not only optimizes operational effectiveness but also equips agents with the resources they need to provide exceptional service experiences, ensuring a higher level of customer satisfaction. With its comprehensive features, Barista Agent Co-Pilot is set to redefine service desk operations for the better.

Media

Media

Integrations Supported

Google Workspace
Microsoft 365
Microsoft Teams
Slack
Microsoft Entra ID
Microsoft Intune
NetSuite
NinjaOne

Integrations Supported

Google Workspace
Microsoft 365
Microsoft Teams
Slack
Asset Panda
Boomi
Cherwell HR Service Management
Confluence
LumApps
Microsoft SharePoint
PagerDuty
SAP SuccessFactors
Trello
Twilio
UiPath
Workday Adaptive Planning

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Servicely

Date Founded

2019

Company Location

Australia

Company Website

www.servicely.ai/

Company Facts

Organization Name

Espressive

Date Founded

2017

Company Location

United States

Company Website

www.espressive.com/platform/products/agent-co-pilot

Categories and Features

AI-Powered ITSM Tools

Not specified

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Copilots

Not specified

AI-Powered ITSM Tools

Not specified

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