Enjo
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About
Enjo is an AI-native customer support automation platform designed primarily for B2B teams looking to manage high ticket volumes without proportionally increasing their headcount. Developed by Troopr Labs, the platform aims to streamline the support process by resolving repetitive queries through AI agents while allowing human staff to focus on complex exceptions. It operates by integrating a unified omnichannel inbox, an automated help center, and sophisticated AI agents into a single ecosystem. By utilizing existing knowledge bases and documentation, the tool provides accurate, context-aware responses to customers, ensuring that support remains consistent and high-quality even during periods of rapid growth. In practice, Enjo works by indexing a company's approved help content to power its AI agents. When a customer submits a query via Slack, Microsoft Teams, or other channels, the AI agent attempts to provide an immediate solution. If the AI’s confidence is low or the issue is multifaceted, it seamlessly escalates the conversation to a human agent within the shared inbox. This inbox allows for team collaboration, clear ownership of tickets, and smooth handoffs. Furthermore, the platform includes Agent Assist features that help human responders draft replies faster and Insights that provide data on AI performance and support trends. This solution is ideally suited for B2B customer service, IT service desks, and HR support teams in organizations ranging from startups to large enterprises. It is particularly valuable for companies whose support teams live in collaboration tools like Slack or Microsoft Teams, as it brings helpdesk functionality directly into those workflows. Unlike many traditional support platforms that charge per agent, Enjo's pricing model is based on actual AI usage, allowing businesses to scale their support capabilities more affordably. Security is also a major differentiator, as the platform is SOC 2 Type II and ISO 27001 compliant, offering robust guardrails for enterprise data. What sets Enjo apart is its focus on AI-native design and deep integration with the existing tech stack, including Jira, Salesforce, ServiceNow, and Zendesk. While other tools might tack on AI features as an afterthought, Enjo is built from the ground up to prioritize automation. It provides advanced governance tools like input/output guardrails, audit logs, and AI testing workflows to ensure that automation is safe and accurate. This combination of transparency, security, and usage-based pricing makes it a compelling alternative for modern workplaces seeking to optimize their support operations.
Pros & Cons
Generous free tier includes unlimited human seats and 200 monthly AI replies.
Native integrations with Slack and Microsoft Teams facilitate high team adoption.
Usage-based pricing model ensures costs scale with volume rather than headcount.
Certified with SOC 2 Type II and ISO 27001 for enterprise-grade security.
Proven to reduce manual ticketing time by 30% and speed up resolution by 45%.
Advanced trend analysis and executive reporting are limited to the Enterprise plan.
Additional usage beyond plan limits incurs a fee of $0.05 per AI reply.
On-premise deployment options are exclusively available for Enterprise customers.
The Free plan only allows for a single AI agent and basic knowledge sources.
Use Cases
Customer support managers can use AI agents to resolve high-volume repetitive queries, freeing staff for complex technical escalations.
IT service teams can automate internal employee requests through Slack, reducing ticket backlogs and improving resolution speed by 45%.
HR departments can deploy a searchable AI help center to instantly answer common employee questions about benefits and policies.
Project managers can sync support conversations directly to Jira tickets, reducing manual data entry time by 30%.
Security-conscious enterprises can use AI guardrails and audit logs to automate customer service while maintaining strict data governance.
Platform
Features
• ai support agents
• ticketing integrations
• ai performance insights
• input/output guardrails
• natural language workflows
• agent assist ai
• automated help center
• omnichannel shared inbox
FAQs
What counts as an AI reply?
An AI reply is one response sent by Enjo’s AI agent to a customer. Each plan includes a set number of replies per month, and each individual reply counts as one unit of usage.
What happens if I exceed my monthly AI reply limit?
Your service will not stop if you exceed the limit. Additional replies are charged at $0.05 per reply on paid plans, and you have the option to set usage caps to control your spending.
Can I use Enjo with my existing Jira setup?
Yes, Enjo offers seamless integration with Jira, Salesforce, ServiceNow, and Zendesk. This allows your team to automate ticket creation and resolve complex queries within your current helpdesk workflow.
Does the Free plan require a credit card to start?
No, you can sign up for the Free plan without providing any credit card information. This plan includes 200 AI replies, one AI agent, and a shared inbox to help you prove value immediately.
How does Enjo ensure the security of my data?
The platform is SOC 2 Type II, ISO 27001, and GDPR compliant. It uses AES-256 encryption at rest and TLS 1.2+ in transit, alongside AI guardrails for inputs and outputs to maintain data governance.
Pricing Plans
Starter
USD95.00 / per month• Everything in Free
• 5 AI Agents
• 1000 AI replies per month
• Core guardrails
• Basic Insights
• Workflow actions
Standard
USD490.00 / per month• Everything in Starter
• Unlimited AI Agents
• 5000 AI replies per month
• Advanced guardrails
• AI testing & training
• Agent Assist
• Natural language workflows
Enterprise
Unknown Price• Everything in Standard
• Custom AI replies
• On-premise deployment
• SSO/SAML
• AI Agent whitelabeling
• Custom Audit Trails
• Dedicated success manager
Free
Free Plan• Unlimited human seats
• 1 AI Agent
• 200 AI replies per month
• Shared Inbox
• Help Center
• Basic Insights
• Unlimited Channels
Job Opportunities
MERN Stack Developer (SaaS B2B)
Resolve customer issues faster and automate repetitive B2B support requests using AI agents, a shared inbox, and a self-service help center for modern teams.
Education Requirements:
relevant education background in Engineering
Experience Requirements:
4-5 years
2+ years of development experience is mandatory in a SaaS B2B product organization
Other Requirements:
Comfortable using programming languages and relational databases
Strong debugging and troubleshooting skills
Strong understanding of JavaScript fundamentals
Good hands-on experience with React, Redux, Nodejs and Mongo
Critical and analytical thinking skills
Responsibilities:
Own and build new features, improvements, bug fixes
Write clear quality code for software and applications and perform test reviews
Develop, implement, and test APIs
Provide input on software development projects
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Ratings & Reviews
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