AI-powered Service Management: support, operations and management on any channel, at any scale
AI-powered Service Management brings together AI agents, customer service management, connected ITSM and OKR management to serve customers and employees while linking management to operations. Loonar designs, implements and runs this connected approach end to end, from the first interaction to measured outcomes.
- Customer Experience Management (CEM/CXM)Connect customer journeys, shared context and business outcomes through coordinated experience management.View Customer Experience Management (CEM/CXM)
- Voice of the Customer (VoC)Turn scattered customer feedback into decisions teams can act on.View Voice of the Customer (VoC)
- AI Sales AgentsTurn inbound questions into qualified conversations and confirmed meetings.View AI Sales Agents
- AI Support AgentsResolve routine requests with connected actions and human oversight.View AI Support Agents
- AI E-commerce AgentsConnect shopping and post-purchase support with agents that use live operational data.View AI E-commerce Agents
- AI Customer Success AgentsGuide onboarding, adoption and renewal with agents connected to each customer’s context.View AI Customer Success Agents
- Customer Service ManagementBring portals, channels, service commitments and knowledge into one connected support workflow.View Customer Service Management
- Service Management Operations (On-call)Connect customer support, technical on-call teams and incident communications.View Service Management Operations (On-call)
- OKR ManagementConnect objectives, key results and team delivery with progress measured in source systems.View OKR Management
- Connected ITSMConnect service desk, CMDB, devices and incidents, extending service management across business functions.View Connected ITSM
Support only during business hours, with growing queues
AI agents resolve conversations 24/7 across chat, email, voice and social; your people take the complex cases.
Agents with no context on the customer
History, assets and knowledge attached to every ticket, with AI for triage and replies.
Management disconnected from operations
OKRs amplify results, in sync with delivery and with continuous performance reviews.
Fragmented teams and tools
Portal, queues, SLAs, incidents and changes in a single flow, for customers and employees.
Discovery
We map channels, contact reasons, tools and goals to find where AI pays off first.
Design
We define the journey, human handoff rules, integrations and success metrics.
Deployment and integrations
Loonar configures agents, queues and SLAs and connects CRM, ERP, help desk and channels such as WhatsApp.
Training
We enable agents, supervisors and admins to run and evolve the solution.
Operations and continuous improvement
We track results, tune content and expand automation one channel at a time.
Why are OKRs part of Service Management?
OKRs connect objectives, outcomes and real team delivery. Service management organizes how customers and employees receive support; OKRs show how that operation contributes to business priorities. Loonar links key results to projects and metrics so reviews use evidence rather than separate reports, helping leaders adjust priorities with operational context.
What is AI for customer experience?
It is AI applied across the whole customer journey: agents that converse and resolve issues over chat, email, voice and social, automatic ticket triage, and analysis of every conversation to understand how customers feel. The goal is faster, better service at a predictable cost, while people stay on the cases that need a human touch.
Where should we start with AI in customer service?
With the highest-volume, lowest-complexity case, such as order status, invoice copies or frequent questions. During discovery, Loonar analyzes contact reasons, assesses your knowledge base and picks one channel for the first launch. Once results are measured, automation grows safely into new channels and topics.
Does AI replace the support team?
No. AI takes on repetitive requests and frees your team for complex cases, key accounts and sensitive situations. When a conversation needs human judgment, the agent hands off with a summary and full context, so nobody starts over. The team's role shifts toward analysis, content curation and relationships.
How does Brazil's LGPD apply to AI agents in customer service?
AI agents process personal data, so they follow the same rules as the rest of your service operation: a defined legal basis, minimal collection, access control, interaction logs and support for data subject rights. Loonar sets up masking of sensitive data, policy-based retention and audit trails, and documents the flow for your data protection officer.
Shall we design the next version of your operation?
Tell us the challenge. One conversation with a specialist gives you a clear path, even if it isn't time to buy yet.