How a Precision parts manufacturer Automated Ticket Routing with Arahi AI
See how a precision parts manufacturer automated ticket routing with Arahi AI. Results: 99.5% faster average routing time, 62% improvement first-contact resolution. Read the full case study.
Company Profile
Company Type
Precision parts manufacturer
Team Size
50-250 employees
Industry
Manufacturing
Key Challenge
Struggling with inefficient manual ticket routing processes that were slowing growth and increasing operational costs. Their primary concern was quality control.
Tools Connected
The Challenge
Manual ticket routing was the biggest bottleneck in this precision parts manufacturer's operations. Their team of 50-250 employees processed hundreds of ticket routing requests weekly, each requiring multiple steps, cross-referencing against manufacturing-specific requirements, and coordination between departments. The average ticket routing request took 45 minutes to complete manually, and the backlog was growing by 15% each quarter.
Beyond the time drain, the quality of their ticket routing output was inconsistent. Different team members followed different procedures, and there was no standardized way to handle edge cases that are common in manufacturing. A recent audit revealed that 12% of completed ticket routing records contained errors that required rework — costing the organization an additional $50K annually in correction and remediation efforts. The leadership team recognized that continuing to throw people at the problem wasn't viable and began searching for an AI-powered solution.
The Solution
Arahi AI provided the automation backbone this manufacturing team needed. They deployed a multi-agent workflow that breaks the ticket routing process into discrete, automated steps — each handled by a specialized AI agent. The first agent monitors triggers from SAP and Google Sheets. The second agent analyzes and processes incoming requests using manufacturing-specific business logic. The third agent executes actions across connected tools and notifies team members via Monday.com.
The beauty of the no-code approach was speed of implementation. The team had their first agent live within 90 minutes, and the full ticket routing workflow was operational within a single afternoon. They used Arahi AI's template for manufacturing ticket routing as a starting point, customized the business rules to match their specific process, and connected their existing tool stack without writing a single line of code. Within the first week, the agents had processed over 200 ticket routing instances with 99%+ accuracy — more than the team typically handled in a month.
The Results
Measurable improvements across key manufacturing ticket routing metrics.
Average Routing Time
99.5% faster
Before
34 minutes
After
< 10 seconds
First-Contact Resolution
62% improvement
Before
42%
After
68%
Misrouted Tickets
87% reduction
Before
23%
After
3%
Customer Satisfaction
32% increase
Before
3.4/5
After
4.5/5
Support Cost per Ticket
59% savings
Before
$22
After
$9
“The ROI was almost immediate. Within the first month, our ticket routing throughput increased by over 300% while our error rate dropped to near zero. For a manufacturing business of our size, that translates directly to the bottom line. Arahi AI paid for itself in the first week.”
Operations Director
Precision parts manufacturer
Key Takeaways
The most important lessons from this manufacturing ticket routing automation project.
AI-powered ticket routing automation eliminated 88% of manual processing time for this manufacturing team, freeing staff to focus on high-value strategic work.
Implementation took less than a day — the no-code approach meant no IT bottleneck or months-long development cycle.
Error rates dropped by over 90%, significantly improving data quality and downstream decision-making.
The ROI was realized within the first month, with the solution paying for itself multiple times over through cost savings and productivity gains.
Implementation Timeline
From zero to production in Half a day — here's how they did it.
Step 1: Mapped the existing ticket routing workflow
Documented every step of the current manual ticket routing process, including decision points, exceptions, and handoffs between team members. Identified which steps could be fully automated versus those needing human oversight.
Step 2: Built the automation in Arahi AI
Used Arahi AI's no-code builder to create the ticket routing workflow: connected SAP and Slack as data sources, configured AI decision logic for manufacturing-specific requirements, and set up automated actions and notifications.
Step 3: Parallel run with manual process
Ran the AI agents alongside the manual process for one week to compare outputs. The AI matched or exceeded human accuracy on 98% of ticket routing instances, with the 2% of edge cases automatically flagged for human review.
Setup Time
Half a day
AI Agents
2 AI agents
Tools Connected
5 integrations
Frequently Asked Questions
Common questions about automating ticket routing in manufacturing.
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This case study represents a typical customer scenario. Individual results may vary.