Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
Futtertrocknung Lamerdingen eG · Lumentis AI
Vendor-reportedAgricultureIn productionMid-marketLLMLive 2023
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by lumentis.ai (vendor self-report). Checked against the source page on 2026-09-06. 1 of 1 figures below appear on that page word for word.
The problem
Unexpected staff departure led to loss of operational knowledge, outdated manual processes, high time consumption, increasing error rates, and growing regulatory requirements for sustainability and traceability.
What was deployed
- Vendor
- Lumentis AI
- Products
- Twilio, Whisper, Llama 3.1, ElevenLabs, Azure Machine Learning
- Models
- Llama 3.1, Whisper
- Technique
- LLM
- Build or buy
- Built in-house or to order
- Deployment
- Custom build
- Data used
- historical data, market trends, weather conditions, electricity price fluctuations, gas prices
- Scale
- bis zu 50 Prozessaufträgen täglich
- Timeline
- 3 months
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
1 TagTime for ESG reportingfrom Monate
“Was früher Monate brauchte, ist heute in einem Tag erledigt.”
Quoted word for word from the source
Staff relief from phone call handling
“KI-Telefonanlage entlastet Mitarbeiter”
Quoted word for word from the source
Energy consumption optimization
“Optimierter Energieverbrauch”
Quoted word for word from the source
Customer service precision
“während die Präzision der Kundenbetreuung deutlich stieg”
Quoted word for word from the source
“Das automatisierte ESG-Reporting spart uns Monate an Zeit. Was früher aufwändig war, erledigen wir heute mit wenigen Klicks – und das bei deutlich höherer Präzision.”
Difficulties and limits
- Text explicitly frames only two of the seven planned modules (AI phone dispatcher, automated production planning) as already showing strong results at time of publication, even though ESG-reporting results are also touted elsewhere on the same page — scope of what is actually fully live is not fully consistent within the source.
Sources
- lumentis.ai — vendor self-report
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