Predictive Intelligence & AI Search

Let the Platform
Learn From Your Data.

ServiceNow Predictive Intelligence & AI Search — machine learning and semantic search, tuned to you.

Ramisun implements ServiceNow Predictive Intelligence to bring machine learning into your workflows — auto-categorising, prioritising, and routing work from patterns in your own historical data. Paired with AI Search, users and agents get semantic results that understand meaning, not just keywords. The platform gets measurably smarter: faster routing, fewer misassignments, and answers found the first time — all from data you already have.

ML Categorisation & Routing Semantic AI Search Trained on Your Data Measurable Accuracy
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Vinnay Nigam, Founder & CEO
Ramisun

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80%
Auto-Categorisation Accuracy
Trained on your history
50%
Fewer Misroutes
ML-based assignment
45%
Faster Answer Discovery
Semantic AI Search
Continuous
Model Improvement
Learns over time
Direct Answer

What Is Predictive Intelligence & AI Search?

Predictive Intelligence & AI Search is ServiceNow's built-in machine learning and search intelligence. Predictive Intelligence trains models on your historical records to automatically categorise, prioritise, and route work, and to predict likely outcomes. AI Search adds semantic understanding, returning results by meaning rather than exact keywords. Ramisun trains, tunes, and monitors these models on your data — so routing gets faster and more accurate, answers surface the first time, and the platform keeps learning as new data arrives.

"
"Every ticket you've ever closed is training data. Predictive Intelligence turns that history into automatic categorisation and routing — the platform stops guessing and starts knowing."
Vinnay Nigam, Founder & CEO, Ramisun
CORE CAPABILITIES
01

Predictive Categorisation & Routing

ML models trained on your history auto-classify and route incoming work — cutting manual triage and misassignment.

02

Prioritisation & Prediction

Models predict priority, likely resolution, and risk, so the right work gets the right attention early.

03

AI Search & Semantic Results

Semantic search understands intent and meaning, surfacing the right answer or record even without exact keywords.

04

Similarity & Recommendation

Finds similar past incidents and recommends proven resolutions, accelerating agents with institutional knowledge.

Market Data

Why ML-Driven Workflows Outperform Rules

Static rules age badly; models trained on your data adapt and improve.

80%
categorisation accuracy from ML models
Industry Benchmarks
85%
of the Fortune 500 run ServiceNow
ServiceNow
50%
fewer misroutes with predictive assignment
Industry Benchmarks
229%
3-year ROI on ServiceNow platform
Forrester TEI
How It Works

How Predictive Intelligence Learns and Acts

From your historical data to smarter, self-improving workflows.

1

Train

Models learn from your historical records

2

Validate

Accuracy tested before go-live

3

Classify

New work auto-categorised and prioritised

4

Route

ML assigns work to the right team

5

Search

Semantic AI Search surfaces the right answer

6

Improve

Models retrain as new data arrives

Before vs After

Rules-Based Workflows vs Predictive Intelligence with Ramisun

Hand-maintained rules can't keep up with how work actually changes.

Area❌ Static Rules & Keyword Search✅ ServiceNow AI + Ramisun
CategorisationManual or brittle rule setsML auto-classifies from real patterns
RoutingRules that drift out of datePredictive assignment, continuously accurate
PrioritisationOne-size-fits-all rulesPredicted priority from your data
SearchKeyword-only, misses synonymsSemantic search understands meaning
Agent SpeedReinventing past solutionsSimilar-incident recommendations
MaintenanceConstant rule upkeepModels retrain automatically
AccuracyGuesswork, unmeasuredMeasured, monitored accuracy
Capabilities

What Ramisun Delivers with Predictive Intelligence & AI Search

Each capability maps to a specific ML or search capability — with real outcomes.

🏷️ Predictive Categorisation & Routing

Ramisun trains ML models on your historical records to auto-categorise and route incoming work, removing manual triage and the misassignments that slow resolution.

  • Auto-categorisation from real patterns
  • Predictive assignment to the right team
  • Less manual triage, fewer misroutes
  • Accuracy measured and monitored
Predictive IntelligenceML SolutionsAssignment
80%
Accuracy
50%
Fewer misroutes
0
Manual triage
Measured
Quality

🔮 Prioritisation & Prediction

We build models that predict priority, likely resolution path, and risk — so the right work gets attention early and outcomes are anticipated, not discovered late.

  • Predicted priority and urgency
  • Likely-resolution suggestions
  • Risk and escalation prediction
  • Proactive rather than reactive handling
Predictive IntelligencePerformance Analytics
Early
Attention
Predicted
Priority
Proactive
Handling
Fewer
Surprises

🧠 Similarity & Recommendation

We enable similar-incident detection and resolution recommendations, so agents benefit from every problem the organisation has solved before — institutional memory on tap.

  • Similar past incidents surfaced automatically
  • Proven resolutions recommended to agents
  • Faster onboarding for new agents
  • Institutional knowledge reused
Predictive IntelligenceSimilarityAgent Workspace
Reused
Knowledge
Faster
Agents
Proven
Fixes
Lower
Ramp time
Delivery & Governance

How Ramisun Delivers AI — Governed From Day One

An out-of-box-first, evolutionary approach that ships value from the first sprint — with policy, audit, and human oversight built in.

Grounded, Not Generic

Agents and Now Assist reason over your knowledge, CMDB, and records — not the open internet — so answers stay accurate and relevant.

Agile, Sprint-Based Delivery

Working AI capabilities every two weeks. You see summarisation, then deflection, then agentic action go live incrementally.

Guardrails & Human-in-the-Loop

Every skill and agent ships with policy controls, escalation paths, and human checkpoints — autonomy earned scenario by scenario.

Measured Impact

Deflection, resolution time, adoption, and CSAT are tracked from day one — so AI value is proven, not assumed.

Full Auditability

Every AI action is logged with model version and confidence via the AI Control Tower — provable governance for any reviewer.

Adoption & Enablement

Training and change management are built into delivery — so your teams trust and actually use the AI you deploy.

Explore Agentic AI & Now Assist Enablement

Related AI Capabilities We Deliver

Latest Insights

From the Ramisun Blog

Free Consultation

Ready to Let the Platform Learn From Your Data?

Tell us where manual triage or poor search slows you down and we'll show you exactly how Predictive Intelligence and AI Search fix it — trained on data you already have.

  • Free Predictive Intelligence scoping session — no generic pitches
  • Use cases mapped to your data and risk profile
  • A governed rollout with guardrails from day one
  • Transparent, fixed-phase pricing — no hidden fees
  • Response within 1 business day
"
"Every ticket you've ever closed is training data. Predictive Intelligence turns that history into automatic categorisation and routing."
Vinnay Nigam, Founder & CEO, Ramisun
80%
Categorisation accuracy
50%
Fewer misroutes
45%
Faster answers
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Frequently Asked Questions

Predictive Intelligence & AI Search — Questions Answered

Predictive Intelligence is ServiceNow's built-in machine learning. It trains models on your historical records to auto-categorise, prioritise, and route work, predict outcomes, and find similar past incidents — making workflows smarter without hand-maintained rules.

AI Search uses semantic understanding, returning results by meaning and intent rather than exact keyword matches. A user searching in their own words still finds the right knowledge article or record — dramatically improving first-try success and self-service.

No. Predictive Intelligence is designed for configuration rather than coding, and Ramisun handles model training, validation, and tuning. Your team gets the benefits of ML without needing to build or maintain models themselves.

Generally a few thousand well-labelled records per category produce reliable models, though it varies by use case. We assess your data during scoping and, where needed, help improve labelling so models perform well.

Yes. Models can be retrained on new data on a schedule, so accuracy improves as patterns evolve. We set up monitoring so you can see model performance and retrain before accuracy drifts.

A focused categorisation-and-routing or AI Search deployment typically shows value in 6–10 weeks. We validate accuracy before go-live and phase additional models on top.

Enterprise-Grade Security & Responsible AI

Trusted by enterprise teams worldwide
AI is deployed with data protection, governance, and auditability embedded — not bolted on afterwards.
SOC 2Enterprise Security
GDPRData Privacy
HIPAAHealthcare Compliance
ISO 27001Information Security