ServiceNow Platform & Delivery Excellence
End-to-end ServiceNow engagement. Advisory to go-live to managed services. Industry use cases for BFSI and Manufacturing. Proven 30-day PoC model for Gen AI validation.
PLATFORM ARCHITECTURE
AI Agents + Data + Workflows = One Platform
Only ServiceNow combines AI Agents, trusted Data, and enterprise Workflows on a single architecture — secure, private, and compliant by design.
AI Layer
AI Agents, Now Assist, Virtual Agent, Agent Orchestrator, AI Agent Studio, Third-Party LLMs
Workflow Layer
Process Automation, Flow Designer, Workflow Studio, Machine Learning, Industry Workflows
Data Layer
Knowledge Graph, Workflow Data Fabric, CMDB & CSDM, Platform Analytics, Process Mining
Integration Layer
Integration Hub, 300+ Pre-built Spokes, App Engine, ServiceNow Store, Custom Development
NOW ASSIST — GEN AI
Generative AI Native in Every Workflow
Now Assist for ITSM
Auto-summarize incidents and cases. Generate resolution notes. Draft agent replies saving hours daily. Recommend next-best actions.
Now Assist for ITOM
Intelligent monitoring and auto-remediation. AI Agents monitor 24/7 and auto-remediate. Escalate edge cases with full context.
Now Assist for HRSD
AI generates personalized HR responses instantly. Automate leave, onboarding, and policy queries. Reduce HR case volume significantly.
Now Assist for CSM
AI virtual agents handle and deflect routine requests. Intelligent escalation with full context. 24/7 omnichannel self-service.
Agentic AI Workflows
Independently execute multi-step tasks end-to-end. Resolve incidents, provision access, onboard employees — without human intervention.
Now Assist Search
Natural language search across all ServiceNow data. Surface knowledge, cases, and actions instantly. Right answers, always.
INDUSTRY USE CASES — BFSI
Six AI Use Cases for Banking & Financial Services
Virtual Assistant
24/7 AI customer support for policy queries, claims status, and account information. Instant resolution, zero wait times.
Policy Onboarding
AI-automated policy issuance workflows with document processing, verification, and approval automation.
Renewal Outreach
Predictive renewal engagement: AI identifies at-risk policies and triggers personalized, timely outreach.
Claims Handling
AI-powered claims triage, document extraction, and routing to appropriate handlers with context.
Underwriting AI
AI-assisted underwriting review with risk scoring, data extraction, and decision recommendations for underwriters.
Claims Automation
Straight-through processing for standard claims — validated, processed, and settled without human intervention.
INDUSTRY USE CASES — MANUFACTURING
Five AI Use Cases for Manufacturing Operations
Predictive Maintenance
IoT anomaly detection (temp, vibration, pressure). Auto incident creation before machine failure. Real-time team alerts to maintenance crews.
Asset Lifecycle Management
Full tracking from purchase to retirement. Warranty monitoring with auto-alerts. Planned maintenance cost tracking and optimization.
Field Service Dispatch
AI-driven technician dispatch by skill, availability, and proximity. Mobile work orders. Route optimization for lowest cost.
Supply Chain Risk
Supplier risk tracking: delays, defects, risk signals. Auto escalation on breach. Alternate sourcing workflow activation.
Quality Management (CAPA)
Defect capture and logging. Auto-assign corrective/preventive actions. Root cause analysis per defect batch. Structured investigation.
DELIVERY METHODOLOGY
4-Phase Platform Delivery
Discovery
Assess IT landscape, map business processes, define ServiceNow scope. Stakeholder workshops, KPI alignment. Outcome: Approved Blueprint & Roadmap.
PoC / MVP
Configure core modules on sandbox. Demo AI-led workflows & Now Assist. Validate use cases, UAT. Outcome: MVP approved for pilot.
Pilot Deployment
Deploy to select business unit. Integrate with ERP, CRM, AD. User training & change management. Outcome: Validated for enterprise rollout.
Go-Live & Managed
Full rollout with 24x7 hypercare. SLA monitoring, adoption programs. Transition to 3R Managed Services.
DE-RISK YOUR AI INVESTMENT
30-Day Proof of Concept
Validate Now Assist Gen AI capabilities in your own environment before full commitment. Proven use cases. Documented KPI results. Ready-to-scale plan. All in 30 days.
3
Days
- Now Assist workshop
- Scope PoC scenarios
- Environment assessment
- KPI definition
- Stakeholder alignment
10
Days
- Build Now Assist in your env
- Customize AI capabilities
- Demonstrate features
- Validate trial outcomes
- Realign KPIs
8
Days
- User training
- Tune for optimal outcomes
- Measure KPI attainment
- Full deployment plan
- ROI documentation
Outcome: Proven GenAI use cases in your environment · Documented KPI results · Ready-to-scale deployment plan · All within one month. Minimum risk. Maximum validation.
