Solution
AI-assisted and AI-handled service tiers, with escalation and quality control designed in.
Support and service operations where the system resolves routine requests. Complex ones reach a person with the context already prepared, and every interaction is measured for quality.
The problem
What this costs today
- Agents spend most of their time on lookups, drafting and repetitive requests instead of on the cases that need judgment.
- Service quality varies by person, shift and channel.
- Volume grows faster than the team, and SLAs slip during peaks.
The system
What Infinity Labs builds
Data → reasoning → action, with typed steps and explicit human control.
- InputCustomer request
- AIClassify intent
- DeterministicFetch account context
- AgentResolve or draft
- Human approvalEscalate with context
- OutputReply + QA score
- Intent detection and routing across email, chat, WhatsApp and web forms.
- Resolution workflows connected to CRM, helpdesk, order and billing systems.
- Assist mode for agents (drafts, summaries, next-best action) and autonomous mode for well-bounded requests.
- Escalation rules with full context handover to a person.
- Response quality evaluation and monitoring by intent, channel and outcome.
Outcomes
What changes for the business
Quantified results are published only with client approval. Until then, this is what the system is designed to change.
- Faster first response and resolution for routine requests
- More agent capacity for complex, high-value cases
- Consistent tone and policy compliance across channels
- Visibility into what the system handles and what it escalates
Typical environments
- Helpdesk and CRM platforms
- WhatsApp Business, email, web chat
- Order, billing and logistics systems
- Knowledge bases and policies
Capabilities involved
How to buy it
Next step
Is Customer Operations the process to start with?
A Sprint scores it against the other opportunities in your operation, or we can go straight to a scoped build if the case is clear.