when KNOWLEDGE(BASEs) fail

Neuron7 vs. Knowledge Management Systems

Knowledge management systems are built for publishing and search. They help teams find information, but they are not designed to drive consistent resolution across products, conditions, and skill levels, and adding generic AI on top still leaves teams interpreting answers on their own.

Neuron7 delivers workflow guidance that turns proven resolutions into step-by-step actions, learning from every interaction. See how the difference shows up in practice.
Neuron 7 Logo
Service Resolution Intelligence
Purpose-built AI for Service
Knowledge Management Systems
eGain, KMS Lighthouse, Bloomfire
Solution Focus
AI for mission-critical service
Knowledge content management
Primary Users
Service teams across tiers resolving issues
Teams publishing and searching content
Delivery Mechanism
Step-by-step guidance in your workflow
Search results in a Portal, widget, KB site
AI Approach
Domain-specific AI
LLMs + RAG
Learning Loop
Improves from every interaction
Manual content updates
Time to Production
Production ready in weeks
Heavily dependent on content readiness
Mission-Critical Accuracy
90%+, service specific
Varies by article quality
Data Sources
Service data from any source
Knowledgebases & manuals
Ongoing Operations
Included + proactive optimization
Manual upkeep and review cycles
Sucess Measurement
Service KPIs like MTTR, parts costs, FTFR
KM usage like, views, clicks, article ratings
Top service organizations who have already made the switch

Built for Enterprise Results

IVP Enterprise AI 55
Best Overall Award
4.9 Customer Rating
★★★★★
Soc 2, Type II
Security Compliance

Proven results at scale

From faster resolutions to lower costs and smarter use of expertise, global service organizations are achieving measurable results with intelligent, action-oriented AI.

46% Faster resolutions

Knowledge capture

Reduced downtime and 14-point CSAT lift through AI-guided knowledge capture

8,000+ Technicians

Scale best practices

Consistent, high-quality service delivery across 60 regions

24% Lower parts cost

Reduce parts waste

Reduced costs per escalated work order with AI-driven parts and repair recommendations

3 Hours → 3 Seconds

Faster resolutions

Complex diagnostics resolved instantly with explainable, real-time AI guidance

Frequently Asked Questions

How is Neuron7 different from a traditional knowledge base?

Traditional knowledge bases are designed to publish and search content. Neuron7 is designed to guide resolution. Instead of returning articles or documents, Neuron7 delivers step-by-step resolution workflows that reflect how issues are actually resolved in real service environments, helping teams act with confidence rather than interpret information on their own.

Why isn't adding AI to a knowledge base enough?

Layering AI onto knowledge management systems may surface information faster, but it still leaves technicians to interpret what to do next. Neuron7 goes beyond links and documents by guiding teams through validated resolution paths, ensuring consistent decisions across products, conditions, and skill levels.

Can Neuron7 replace an existing knowledge base?

Neuron7 does not replace a knowledge base. It builds on existing service knowledge by learning from cases, procedures, and expert actions, then transforming that information into guided resolution paths. Knowledge bases remain a source of content, while Neuron7 operationalizes that knowledge directly in the flow of work.

How does Neuron7 ensure consistent resolution across teams?

Neuron7 learns from real service interactions and standardizes proven resolution patterns into repeatable workflows. This reduces variability, shortens resolution time, and helps every technician follow the same trusted approach, regardless of experience or location.

How does Neuron7 fit into existing service workflows?

Neuron7 integrates directly into systems like Salesforce, ServiceNow, and SAP, delivering guidance in the flow of work. Teams resolve issues without switching tools, searching content, or relying on informal workarounds.