Industrial Software Built for the Real World Questions? Contact Us

RelayIQ

Turn maintenance conversations into work orders automatically. RelayIQ captures messages from Teams and WhatsApp, parses them with AI to identify equipment, failures, and task details, then exports structured data for SAP, Maximo, eMaint, and more.

Request Early Access Request Demo

What RelayIQ Does

Stop copying maintenance conversations into spreadsheets. RelayIQ reads your Teams and WhatsApp messages, understands the work, and exports it to your CMMS — automatically.

💬

Capture Any Message

Connect Microsoft Teams and WhatsApp channels. RelayIQ listens to maintenance conversations, voice notes, and group chats in real time — no manual entry required.

🤖

AI-Powered Parsing

Built-in AI model extracts equipment names, failure modes, locations, priorities, and task descriptions from unstructured conversation text with high accuracy.

📄

Structured Work Orders

Every parsed message becomes a clean, structured work order record with all the details your maintenance team needs to take action immediately.

🔄

CSV Export for Any CMMS

Export daily batches of parsed work orders as formatted CSV files ready for mass upload into SAP, Maximo, eMaint, or any other enterprise maintenance system.

📧

Automated Shift Reports

Compile all captured activity into automated shift summary emails — sent on your schedule with full detail on what was reported, parsed, and queued for action.

🔒

Secure & Private

Messages are processed with a frozen AI model — no data sent to third-party APIs. All parsing happens within RelayIQ's secure environment for full data control.

The live RelayIQ platform — capturing Teams and WhatsApp messages, parsing with AI, and exporting structured work orders.

RelayIQ live platform showing AI-powered work order parsing from Teams and WhatsApp conversations
RelayIQ is currently in early access. Join the waitlist or schedule a demo to see the full platform.

Case Studies

Real facilities that stopped losing work orders in chat threads and started capturing every maintenance issue automatically.

Oil & Gas Refining

Refinery Stops Losing Work Orders in WhatsApp

A 500-person refinery had maintenance requests scattered across 12 WhatsApp groups. Issues were reported, discussed, and forgotten — never logged as formal work orders. Repeat equipment failures cost $800K annually because the root causes were never tracked.

RelayIQ connected to the 4 main WhatsApp channels, used AI parsing to extract equipment tags and failure descriptions, and exported structured CSV files to SAP PM every morning.

Results after 4 months:

Work order capture rate up from 30% to 90%. Average response time dropped from 4 days to 8 hours. Repeat failure costs avoided: $800K in year one.

Food & Beverage

Plant Automates Shift Handoff Reports

A 3-shift food processing plant relied on verbal handoffs and email summaries. 40% of night shift issues were lost by morning. Auditors had no traceability for reported incidents.

RelayIQ captured Teams messages from each shift, compiled automated shift summary emails, and parsed critical alerts into priority work orders for the day shift.

Results after 3 months:

Zero lost handoff issues. Shift report compilation time down from 45 minutes to zero. Full audit trail for every reported incident.

Pharmaceutical

Manufacturer Links Chat to CMMS in 2 Weeks

A pharmaceutical plant had strict validation requirements and an 18-month IT backlog. The maintenance team needed to capture ad-hoc equipment reports without waiting for a formal system integration project.

RelayIQ deployed as a standalone solution — no IT project required. It captured Teams messages, parsed them with a frozen AI model, and exported validated CSV for controlled import into the validated CMMS.

Results after 2 weeks:

Live and capturing 100% of ad-hoc reports. Zero IT resources required. Validated data import workflow approved by QA in one review cycle.

Power Distribution

Utility Cuts Storm Dispatch from 6 Hours to 30 Minutes

During storms, damage reports flooded in via WhatsApp from field crews. Manual transcription took 6–8 hours, delaying dispatch and extending customer outages.

RelayIQ parsed incoming damage reports in real time, automatically extracted equipment IDs and GPS locations, and scored priorities so dispatchers could assign crews instantly.

Results after first storm season:

Dispatch time cut from 6 hours to 30 minutes. 100% of damage reports captured with equipment and location data. Average restoration time improved 22%.

Common Use Cases

How maintenance teams use RelayIQ to turn unstructured communication into structured action.

💬

Chat-to-Work-Order Conversion

Turn Teams and WhatsApp messages about equipment issues into structured work orders — no typing, no spreadsheets, no missed work.

📧

Automated Shift Handoff Reports

Compile all captured shift activity into summary emails sent on your schedule — what was reported, parsed, and queued for action.

Emergency Response Capture

Capture storm damage, breakdown alerts, and safety incidents from field crews in real time — with automatic priority scoring.

💼

Ad-Hoc Reporting Without IT

Deploy in days, not months. No integration project required. Standalone parsing and CSV export for any CMMS.

🔄

Multi-Channel Consolidation

Connect multiple Teams channels and WhatsApp groups into one unified feed — no more hunting through threads for that one report.

🚀

Zero-Touch Work Order Creation

Technicians report issues the way they already communicate. RelayIQ does the rest — parsing, structuring, and exporting.

See RelayIQ in Action

See how RelayIQ turns Teams and WhatsApp chatter into structured work orders ready for your CMMS — no typing, no spreadsheets, no missed work.

Request a Demo