AI Development Services
Deflect repetitive tickets, triage and route complex ones, and give agents the context they need to resolve faster. Gizmolab builds support automation built around deflection rate and resolution quality — not just coverage.
What Support Automation Delivers
Support teams face growing ticket volumes with the same or shrinking headcount. Repetitive queries consume agent time that should go to complex cases. AI support automation addresses both — deflecting the predictable majority while making agents faster and better-informed on everything else.
Poor handoff design is the most common failure mode in support automation. When AI fails to escalate cleanly — or escalates with no context — customers repeat themselves and agents start from scratch.
We design handoff triggers, escalation thresholds, and context packages before building automation. Every human handoff includes: conversation transcript, extracted intent, confidence score, and relevant knowledge references.
Primary metrics: deflection rate, first-response time, resolution time, CSAT delta vs pre-automation baseline.
We instrument analytics into every automation layer from day one — so performance is visible, improvable, and reportable to stakeholders without separate instrumentation work.
Agent assist
2–4 weeks
AI assistant layer for human agents — suggested responses and context retrieval
Ideal for: Teams wanting to improve agent productivity before full deflection
First-line automation
4–8 weeks
Autonomous handling of common queries with clean human escalation
Ideal for: Support teams ready to automate the predictable majority of volume
Full support AI platform
2–3 months
End-to-end support automation across channels with full analytics
Ideal for: Teams deploying support AI as a core operational capability
What percentage of tickets can AI deflect?
Deflection rate varies by product and query distribution. Teams with well-documented FAQs and structured content typically see 40–70% deflection on first-line queries. The right target depends on your specific ticket mix.
How does handoff to human agents work?
Handoff triggers are configurable: low confidence score, explicit user request, topic sensitivity, or time elapsed. When handoff occurs, the human agent receives the full conversation context, extracted intent, and relevant knowledge base references.
Which ticketing systems do you integrate with?
Zendesk, Intercom, Freshdesk, HubSpot Service Hub, Salesforce Service Cloud, and custom ticketing systems via API.
Can the AI assist human agents rather than replacing them?
Yes. Agent assist is often the highest-value starting point — providing agents with suggested responses, relevant knowledge base articles, ticket history summaries, and contextual notes — without full deflection.
How do you prevent the AI from giving wrong answers?
We design content-grounded responses tied to your approved knowledge base, implement confidence thresholds with mandatory escalation below them, and include human review workflows for edge cases.