AI Service Automation: Triage, Parts Prediction, Warranty

Solutions

Agentic automation of workflows across the service supply chain

Automate email workflows, voice-to-case conversion, and intelligent triage while maintaining personalized service quality.

Case intake and context: capture cases from voice, text, or images, identify products and software versions, verify entitlement.
Triage and resolution: prioritize cases, interpret fault codes, notes and history, deliver guided diagnostics, and deflect issues.
Escalation and closure: auto-route to technical or field support, pre-stage required parts, claims, expertise, and trigger updates.

↑First-contact resolution
↓Average handle time
↓Cost per case

Email Case Resolution
Customer Case Summarization
Service Diagnostics and Triage
Repair vs Replace Determination
Upsell & Cross-sell Recommender

Accelerate resolution times with intelligent diagnostics, guided troubleshooting, and automated escalation protocols.

Diagnostics and reproduction: capture logs, traces, and dumps, reproduce issues in lab environments, perform root cause analysis.
Workarounds and updates: provide workarounds, hotfixes, configuration updates, technical advisories, reuse prior TAC cases and fixes.
Escalation and hand-off: route defects to engineering, transfer artifacts, trigger bulletins or knowledge updates.

↑Case resolution rate
↑Diagnostic efficiency
↓Cost per resolution

Optimize technician routing, predict parts requirements, and provide real-time resolution guidance in the field.

Scheduling and dispatch: pre-stage parts and expertise requirements, optimize routing, and work order management.
Diagnostics and repair: identify models, parts and firmware, provide guided diagnostics, capture labor and parts, repair QA.
Coordination & close out: generate reports, update checklists, confirm completion, manage RMAs and warranty.

↑First-time fixes
↓Mean time to repair
↓Truck rolls

Enhance data quality, forecast demand accurately, and automate ordering with intelligent inventory management.

Forecasting and planning: predict demand from service data, asset history, and product failures to optimize stocking.
Availability and fulfillment: identify parts, check stock, reserve and pick, manage kits and substitutions, confirm shipments.
Ordering and replenishment: orchestrate dealer and field orders, handle transfers and counts, track serialized parts, manage returns.

↑Parts fill rate
↑Inventory turnover rate
↓Carrying cost

Streamline claims processing with automated validation, advanced image analysis, and intelligent coding systems.

Intake and validation: register products, capture claims, confirm entitlement, validate cases.
RMA and logistics: pre-fill and authorize RMAs, manage advance exchanges, coordinate field logistics.
Recovery and returns: post credits and reimbursements, manage supplier recovery and partner claims.

↓Warranty leakage
↓Cost per claim
↑Supplier recovery rate

Monitor equipment health, predict failures, and optimize maintenance schedules with IoT integration and digital twins.

Asset registry and tracking: maintain asset hierarchy, location, ownership, software, and firmware configuration.
Monitoring and maintenance: unify telemetry and usage data, predictive and condition-based visits, service history and replacements.
Campaigns and renewals: launch recalls, upgrades, links to contracts and warranties, renewals and upsell planning.

↑Asset uptime
↓Unplanned downtime
↑Renewal rates

See how Bruviti's AI platform adapts to the specific challenges and workflows of your industry.

Join leading service organizations using AIP to deliver exceptional outcomes at scale.