Agents that think, decide, act.
Deploy agentic and generative AI on ServiceNow in 12–16 weeks. Autonomous agents handling complex reasoning — your teams stay focused on strategy.
✓ Agent:IncidentResolver — resolved 847 tickets today
→ Agent:FraudDetector — flagged 3 anomalies (97.3% confidence)
→ Agent:InventoryOptimizer — reordered 12 SKUs autonomously
⟳ Agent:ComplianceMonitor — continuous audit cycle running
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Every AI discipline. One unified intelligence.
AI Agent Orchestration
Multiple specialised agents coordinated in real time across your enterprise. Each reasons independently, handles defined tasks, and escalates when uncertain — with a single audit trail across all activity.
Agentic AI
Agents that reason, not just follow rules. Defined goals, decision loops, escalation thresholds you control. Full audit trail.
Generative AI
Draft generation, data synthesis, incident summarisation, knowledge article creation. Every output human-reviewable.
Intelligent Automation
AI triage replacing manual queues. Agents handle routine cases, escalate exceptions. You define the boundary.
Real-time Intelligence
Agents processing events as they happen — fraud signals, equipment anomalies, compliance triggers — with sub-second response.
Enterprise Integration
Agents connected to ServiceNow data layer plus ERP, CRM, IoT, databases. Authenticated, audited API calls with full logging.
Four phases. Zero ambiguity.
From AI readiness to live autonomous agents in 16 weeks.
AI Assessment
- AI readiness evaluation & use case scoring
- Data quality audit & agent architecture design
- ROI modelling with specific KPI targets
Build & Train
- Agent development & model training cycles
- Workflow integration & sandbox testing
- Performance validation against agreed benchmarks
Orchestrate
- Multi-agent coordination layer deployment
- System integration with authenticated APIs
- Security review & change management
Deploy & Optimise
- Production deployment with hypercare
- Continuous learning loops & performance tuning
- 90-day outcome review against KPIs
Real agents. Real outcomes.
AutoTech Industries
Manual quality inspection across 3 production lines — 34% of defective units reached packaging before detection, costing $8.7M annually in rework and returns.
Computer vision agents deployed at 12 inspection points with automated rejection triggers. Predictive maintenance agents monitor 847 equipment sensors and raise work orders before failure.
“The quality agents catch defects in milliseconds that our inspectors would miss entirely.”— Dr. Elena Vasquez, CIO
HealthCare+ Network
Clinical documentation: 47 hours per complex case for data extraction and report drafting. Creating 3-day treatment delays and 6 FTE of admin burden.
Generative AI agents extract data from 14 systems, cross-reference clinical guidelines, and produce draft reports for clinician review in under 8 minutes.
“Our clinicians review a finished draft instead of building one from scratch. That time goes directly back to patient care.”— Dr. James Wilson, Medical Director
FinanceFlow Corp
Rule-based fraud detection missing 23% of sophisticated attacks. $15.6M annual losses. 1,200 false positives weekly requiring 14-person manual review team.
Multi-agent system: pattern recognition, behavioural analysis, and network graph agents collaborating in real time. Human review only when confidence falls below threshold.
“The three agents work together like an investigation team — but in under two seconds. We stopped $14.8M in fraud in the first year.”— Maria Santos, Head of Risk
Ready to deploy autonomous agents?
Tell us your biggest operational bottleneck. We'll design an agent architecture in 48 hours — no commitment.