Pre-Built agents for Field Service & Service Operations
Not a chatbot. A coordinated Digital Organism that reasons, coordinates, and drives operational excellence across field service and service operations.
The Agent Topology
A coordinated mesh of 16 specialized L4 Agents functioning as microservices. They automate 1,800 distinct physical workflows out-of-the-box, communicating continuously across the Context Graph.
Diagnostics & Inference
Auto Root Cause Agent
Executes continuous real-time analysis against machine state and historical logs to predict exact failure origins prior to human assignment.
Resolve
Diagnoses complex technical issues through multi-modal, multi-lingual conversational guidance and delivers step-by-step resolution paths. Draws on asset history, service records, and knowledge articles to support both remote and on-site technicians in reducing time-to-resolution and improving first-time fix rates.
Log IQ
Analyzes device, system, and field service logs to detect failure patterns, predict recurring issues, and surface root cause indicators that manual review would miss.
Operational Orchestration
Dispatch
Skill-based dispatch. Evaluates technician skill matrix, live location, historical success rates, and cost data to assign the optimal resource.
Workflow Orchestration Agent
Meta-conductor across all 16 agents. Coordinates handoffs between Mesh 01-04 for complex, multi-system workflows.
Smart Backlog Agent
Autonomous queue management. Clusters similar open tickets, identifies mass-resolution opportunities, and clears backlogs procedurally.
Escalation Agent
Monitors ticket velocity and customer sentiment heuristics to trigger preemptive interventions, drastically reducing Tier 3 expert dispatches.
Smart Inbox
Omni-channel ingest node. Automatically structures, categorizes, and responds to inbound service requests from email, chat, or portals.
Depot Service and Supply Chain
Cognitive Spares Agent
Predictive inventory optimization. Maps failure topologies against depot stock to identify shortages and trigger preemptive part reorders.
Entitlement Agent
Instantly queries enterprise databases (SAP, Salesforce) to verify customer SLAs, service levels, and coverage logic prior to execution.
RMA Agent
Automates the reverse logistics loop. Generates return authorizations, triggers shipping logic, and updates inventory ledgers autonomously.
Warranty Agent
Cross-references part failures against OEM agreements to ensure absolute compliance and capture otherwise lost warranty revenue.
Contracts IQ
Creates, manages, and analyzes service contracts using AI to ensure accurate entitlement verification, warranty coverage, and compliance. Connects contract terms to service execution in real time, reducing revenue leakage from missed entitlements and manual contract lookup delays during active service calls.
Knowledge & Governance
NeoCortex
Turns uploaded documents into structured knowledge articles using your own blueprints. Captures expert workflow patterns before they walk out the door.
Training & Quality Agent
Identifies top-performing technician behaviors for specific faults and scales that workflow as an interactive guide for Level 1 staff.
Top Drivers Agent
Aggregates fleet-wide execution data to present leadership with the definitive root causes driving support volume and hardware failure.
PII Redaction
The zero-trust guardian. Proactively detects and redacts PII, PHI, and proprietary schematics before any data enters the reasoning layers.
The Moat: From Canals to Railways
Most service organizations are running "Canals" (Workflows), a linear process where a ticket waits for a human to move it to the next lock. Ascendo builds "Railways" (Dataflows), an orchestrated nervous system where specialized agents execute simultaneously.
Legacy Workflow
Technician logs into FSM app. Sees a generic ticket: 'Unit Not Cooling. Priority: High.'
Arrives on site. Diagnoses a leaking valve. Checks truck stock: Missing.
Calls warehouse. No answer. Drives 45 minutes to the depot.
Warehouse manager says, 'We allocated that valve to another job yesterday.'
Calls the customer to reschedule. Customer escalates the issue.
Result: 4 hours wasted. 0 problems fixed. High frustration. CEO is involved in Escalation. No one learnt anything. The technician is just a parts runner.
Ascendo Dataflow
Machine sends telemetry. Triage Agent predicts 90% probability of Valve Failure.
Logistics Agent checks truck stock (Missing) and nearest Depot (Available). Reserves the part.
Scheduling Agent inserts a waypoint into the technician's GPS to pick up the valve en route.
Scheduling Agent technician arrives on site with the exact part in hand.
Knowledge Agent Unit fixed. Why, What, When, How, Who all judgement documented and available for everyone else. The tech now has time to proactively consult the customer on future upgrades.
Result: First-Time Fix achieved. Margin and Knowledge protected. Judgement captured. The customer sees a Partner, not a Vendor.
ctx.graph.query("MRI Coil F56 overheating") →
[Asset: SN#56789] 3 prior incidents → Valve B-12
Environment: High humidity detected → Flush protocol required
Optimal Tech: Sarah T. (97% FTFR on similar faults)
Frequently Asked Questions
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