AI Agents That Understand Your Industry
Not a chatbot — a digital employee. Understands your data, takes action, controls deadlines — on your servers.
Manufacturing
While the worker searches for instructions — the line is down. While the foreman fills out the work order — downtime grows.
30–60 minutes to find a repair instruction. Work orders in CMMS created with delays. Management learns about the problem when it's already an emergency.
Operator sends a photo of error E-47 on press PH-250 via messenger. Agent recognizes the code, finds instruction TO-PH-250-003 and hydraulic system diagram via Vision LLM. Determines criticality — high. Pauses the process until chief engineer confirms. After confirmation — work order in CMMS, instructions to the crew lead, incident logged. 3 minutes instead of 45.
Engineering
An hour to find a material analog. ECNs get lost in email. ISO prep — two months of flipping through documents.
Knowledge leaves with people. Finding a EN/DIN analog takes about an hour. Duplicate process sheets. ECNs sent by email and forgotten.
Designer requests an analog for AISI 316L for operation at 650°C in H₂S environment. Agent performs hybrid search on EN 10088-1, finds three options with supplier prices, initiates approval thread with metallurgist. After approval — updates BOM in PLM and notifies procurement.
Pharmaceuticals
Inspector asks: 'Show me the procedure for Annex 15, clause 4.12.' You have 30 seconds. Not 30 minutes.
Thousands of GMP documents. Pharmacovigilance with strict regulatory deadlines. Inspection prep takes weeks. Multi-level deviation approvals.
Query on clause 4.12 Annex 15. Agent finds SOP-VAL-015, cites the section, compares with current practice. Discovers GAP: no process robustness data (clause 7.1.4). Generates report for QP. Inspection prep: 1–2 weeks instead of 4–6.
Accounting & Finance
Tax code changes every quarter. 30 invoices per day processed manually. Same questions — all year round.
Dozens of PDF/scanned invoices daily. Frequent tax code changes. Employees ask the same questions. Audit prep — lengthy document search.
Invoice from MüllerTech GmbH for €18,400 arrives via email. Agent extracts data via Vision (VAT ID, amount, VAT), checks counterparty in ERP — 12 successful deliveries. Amount < €50,000, known counterparty → auto-posting. Audit log recorded.
Retail
Customer messaged on WhatsApp at 11 PM. By morning, the manager saw it — but the customer already bought from a competitor.
Multi-channel without a unified agent. 60–100% annual turnover — new staff don't know the assortment. Claims processed in 3 days.
New salesperson asks: 'Samsung WW80 or WW90?' Agent in 10 seconds: capacity 8 vs 9 kg, inverter motor — warranty 10 vs 3 years, steam function yes/no, $499 vs $419. New hire consults customers from day one.
Legal
3 hours to analyze one contract. Due diligence — a day and a half. Legislative change discovered a month late.
10–20 contracts per week for review. Due diligence from 5–10 sources manually. Legislative changes tracked with delays.
Contract uploaded as PDF. Agent extracts terms, compares with company template. Report: 'MEDIUM RISK. Penalty 0.5%/day — our standard 0.1%. Force Majeure missing. Jurisdiction: London instead of Frankfurt.' Lawyer reviews report in 15 minutes instead of 4 hours.
HR & People Management
HR answers the same questions 3 hours a day. Onboarding takes 30 days. Offboarding — with forgotten access rights.
200+ policies and regulations. 20+ onboarding steps. Same questions daily. Offboarding errors — 30–40% of cases.
Employee: 'I want vacation starting July 15.' Agent finds policy HR-003, clause 4.2 — application 14 days in advance. Checks balance — 18 days remaining. Creates request in SAP HR. Routes for manager approval.
Logistics
Driver waits 2 hours. HS code error — a fine. Customer calls about delay before the manager knows.
HS codes assigned manually. Customs document errors — 10–15%. Shipment requests take 20–40 minutes. Customer learns about delays last.
Request: 3 pumps NPS-65/35, Prague, deadline April 5. Agent checks inventory: Munich — 5 pcs, Prague — 0, Vienna — 2. Selects Munich, ETA April 2. Creates picking task in WMS, emails customer confirmation, messenger to logistics.
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