Our system automated IT issue resolution at scale. Every core metric—from CSAT to response time—validated how precision AI tools can replace routine overhead across enterprise support systems.
Services
Kodertal delivers production-ready AI solutions, from strategy to scale. We design, build, and integrate AI agents, LLMs, chatbots, and automation that fit your workflow, ship faster, and drive measurable business outcomes globally.

Lean, Scalable, Always-On IT Support
We developed an enterprise-grade AI assistant that detects urgency, resolves L1/L2 tickets, and fully integrates with ServiceNow and Ivanti.

Client & Industry Overview
The client needed a chatbot to handle growing ticket volumes, reduce L1/L2 load, and improve SLA compliance. Their IT helpdesk was overburdened by routine queries like access issues, software installation, or system errors, all of which delayed actual incident handling. We built an AI copilot powered by GPT-4o, vectorized knowledge retrieval, and ELSER for ElasticSearch accuracy. It resolved most issues instantly, auto-generated L3 tickets via ServiceNow/Ivanti, and reduced helpdesk effort by 40%.
Industry:
Construction
Region:
California, USA
Company Size:
500+ Employees
Engagement:
12 Months
What Made This Complex
Not Every AI is IT-AwarePhrases like 'system error' needed downstream filters to sort between device issues, VPN errors, or Outlook crashes.
Improper retry logic in ServiceNow API led to duplicate or recursive ticket entries under high request loads.
User frustration detection often missed the escalation window due to NLP lag in emotion scoring mid-conversation.
Knowledge base updates weren't reflected live—outdated embeddings caused poor context recall from document vectors.
Custom prompts didn't respect all SSO permissions—unauthorized responses occasionally bypassed expected scope controls.
What We Did to Fix It
Engineering Through the Complexity
We retrained embeddings with scenario-specific data and added decision tree logic to route ambiguous phrases like "system down" or "email blocked" to precise intent categories.
We built a standard content template for KB ingestion, enabling clean vectorization and predictable embedding generation across Elastic + GPT-4o pipeline for consistent document understanding.
We implemented a transcript buffer and pre-handoff state validation to ensure full user context transferred properly to Amazon Connect, preventing dropped session issues.
Prompt templates dynamically changed based on SSO role payloads. Access-controlled KB filters were enforced through backend logic before response generation even triggered.
ELSER model was fine-tuned with domain-specific token weights to suppress keyword pollution and improve high-confidence clause retrieval within mixed-topic documents.
300+
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50+
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6+
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20+
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Features That Cut Workload in Half
Built for Real ITSM ChallengesIntent-Based Query Detection
Vector-Based Knowledge Lookup
L1 and L2 Issue Resolution
ELSER-Powered Search Precision
ServiceNow & Ivanti Sync
Amazon Connect Handoff Integration
SSO with Role Control
Sentiment-Based Escalation Logic
Analytics Dashboard for Admins
Technology Backbone of the IT Copilot
Fast, Contextual, & Always OnReact
Elasticsearch
Nest Js
Tailwind CSS
Open Ai
PostgreSQL
Python
Azure
HighLevel
Project Outcome
Tangible Wins Across Every MatricSub-3 second replies with GPT + vector search provided users with accurate solutions—no KB browsing or agent follow-ups needed.
Over 70% of interactions ended without agent support, reducing ticket backlog and clearing common service traffic.
Auto-generated tickets respected issue urgency and routed with accurate SLA labels for proper escalation.
Structured multi-turn prompts avoided off-topic replies when users switched between issues mid-session.
RBAC logic kept responses scoped to user role—limiting unnecessary exposure to irrelevant tools or protocols.
50%
Faster resolutions delivered instantly
95%
KB-backed precision on queries
40%
Reduced handoffs to Helpdesk
60%
ServiceNow flows without clicks

Client Testimonials
Trusted by Satisfied Customers WorldwideWhy Choose Us
We build with clarity, ship with accountability, and support you long after launch.Projects Delivered
Full-Time Engineers
Years of Consistent Delivery
Technologies Mastered
Deep AI/LLM Expertise
Specialized team with 10+ years in machine learning and 5+ years in LLM development.
Industry-Specific Solutions
Specialized team with 10+ years in machine learning and 5+ years in LLM development.
Proven Methodology
Specialized team with 10+ years in machine learning and 5+ years in LLM development.
Global Delivery
Specialized team with 10+ years in machine learning and 5+ years in LLM development.
LLM-Based Case Studies
Experience How We've Built & Deployed LLMs That Transformed BusinessesReady to Build with Kodertal’s AI Experts?
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