THE SITUATION
At scale, support volume does not grow linearly with the customer base. For a leading field service management software provider, common repeatable questions were moving through the same human-handled queue as complex escalations. Customers waited regardless of how simple their request was.
Nothing in the support model had kept pace with the scale of the business. Every delayed response on a routine query represented a gap in experience at the exact moment a user needed the product to work.
THE SOLUTION
GrowthArc approached this as an operating model problem before an engineering one. The goal was not simply to automate responses, but to do so without introducing quality or trust risk on customer-facing interactions. AI in a support context carries real reputational exposure if the system sends a wrong or low-confidence answer.
Every design decision followed that logic. Built end-to-end on the client’s existing Salesforce infrastructure, the solution required no new platforms and caused no disruption to existing workflows.
WHAT WE BUILT
GrowthArc built an AI Case Deflection system that intercepts inbound email cases at the point of creation. Each candidate reply passes through a safety guardrail that evaluates confidence before anything reaches the customer. Only replies that clear the threshold are sent automatically.
Replies that do not clear the threshold route silently to a human agent with full context intact. Specific exclusions were built in for premium tier contacts, partner cases, certified admin contacts, and cases with prior outbound activity. Customer replies after an AI response reopen the case and route it to a human immediately.
THE OUTCOME
The headline outcome was a 50% reduction in ticket inflow to human agents. These were cases fully resolved by the AI layer, not deflected and left unresolved. The safety architecture meant the deflection rate was built on quality, not volume.
Beyond that, the client now operates a model where AI and human resolution are complementary by design. Agent availability is no longer the constraint on response time, and every deflected case remains fully tracked through to final resolution.
50%
Reduction in Ticket Inflow
Half of inbound support cases resolved automatically, freeing the team to focus where judgment is required.
0
Unguarded AI Responses
Every reply passes a confidence and safety check. Low-confidence answers are never sent to a customer.
100%
Case Visibility Maintained
Every deflected case tracked from AI response through to final resolution, with no loss of context.
FUTURE OUTLOOK
The architecture is not a ceiling. The same routing logic and Salesforce-native foundation can extend to additional case types as the knowledge base matures and confidence thresholds are refined with real usage data.
For the client, the more meaningful shift is structural. Support capacity is no longer the primary constraint on response quality, which changes how the business thinks about growth and headcount planning entirely.
