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AssetAI provides the API Integration capability

AssetAI's approach to integration starts on the shop floor rather than in a systems-architecture diagram: most plants get more value from removing friction at the point of data entry than from wiring up a new API. Here's how data actually moves in and out of the system today, and how to think about the rest.

Data capture channels that work without a login

Instead of asking operators to install an app or remember a password, AssetAI exposes three real, working entry points that behave like integration surfaces even though no API sits behind them:

• QR-scan reporting — every machine gets a QR code; scanning it opens a public page where the operator enters their name and a company scan PIN, then logs a breakdown or a meter reading directly. No login, no app install, no IT ticket.
• WhatsApp meter logging — a fixed command format, `METER <value>`, lets operators text a reading in from any phone. It is deliberately narrow: this is not a general notification or messaging integration, just a fast, familiar path for a very common data point.
• Photo-OCR capture — a nameplate photo at asset creation auto-fills serial number, year, capacity, and machine name; a meter-face photo at reading time auto-fills the value if left blank. This turns a camera into a data-entry integration without any hardware or network configuration.

Together these channels are the practical answer to a question that comes up in almost every use case discussion: how do you get reliable data out of a floor where not everyone has a desk, a laptop, or consistent connectivity.

Getting data out: exports today, connectors by project

On the export side, the asset registry — including criticality ratings — can be pulled as a CSV, giving you a structured, file-based way to move asset data into spreadsheets, reports, or another system's import routine. This is useful for teams building their own reporting layer or feeding a parallel register elsewhere.

What AssetAI does not yet ship is a pre-built connector to a named ERP, accounting, or SCADA/historian product, and there is no bulk CSV import pipeline for asset masters, no MQTT/OPC-UA sensor feed, and no SSO or directory integration. If your rollout plan assumes a certified connector to a specific system, that work does not exist as a shelf product — it would need to be scoped and built for your plant. Teams evaluating AssetAI alongside an existing CMMS or ERP investment should raise the specific system by name early so it can be assessed on its own merits rather than assumed.

Why this matters for Indian manufacturing plants

Multi-tenant row-level data isolation keeps every company's records separate by default, which is the precondition for any integration work being safe to attempt — it is not itself an integration, but it is what makes future connector work low-risk when it happens. For plants operating across the fragmented supplier and IT landscape typical of Indian manufacturing, a low-friction capture layer often gets a maintenance program running — and contributing to OEE and TPM goals — long before a full systems-integration project is even funded. If your go-live depends on a specific connector, book a demo and we'll tell you plainly whether it's a fit today or a build for tomorrow.

AssetAI provides two-way integration through REST API

AssetAI's integration story is deliberately narrow today, and that narrowness is a design choice, not an oversight: rather than shipping a generic API that plants may never wire up, the product ships working data-capture channels and a clear path for scoping anything more. The sections below cover how to plan that scope and where plants most often go wrong.

Planning an integration scope, not buying a connector

Most Indian manufacturing plants asking about integrations are really asking one of three questions: can data get in without operator friction, can data get out for reporting, and can this talk to our ERP or SCADA system. AssetAI answers the first two directly today and treats the third as a scoping exercise rather than a shelf product.

• Start with what already works — QR reporting, WhatsApp meter logging, and OCR capture cover the highest-frequency shop-floor data entry without any project work at all.
• Use CSV export for reporting today — asset registry data, including criticality, exports as a structured file, which is usually enough to feed a BI tool or hand to a finance or reliability team without waiting on a connector.
• Treat named-system connectors as a project — a link to SAP, Tally, an accounting package, or a historian is not pre-built; if your go-live depends on one, raise it early so it can be scoped against your actual system, not assumed to exist. See pricing for how scoped work is typically structured.

This mirrors how most CMMS deployments actually mature — see what a CMMS is for the broader context — starting with clean, low-friction capture before any system-to-system wiring is attempted.

Common mistakes when evaluating integrations

Plants coming from a legacy CMMS or an ERP-first mindset tend to make the same few assumptions when they evaluate AssetAI, and it's worth naming them directly.

• Assuming a REST/GraphQL API exists because most CMMS vendors advertise one. AssetAI does not currently publish API documentation, auth tokens, or rate limits — if your evaluation checklist requires these, confirm status before shortlisting.
• Assuming CSV works both ways. Export is confirmed and usable for asset registries; a bulk import pipeline for asset masters is not part of the current product, so initial asset setup should be planned around OCR-assisted creation rather than a mass upload.
• Assuming meter data flows automatically from PLCs or sensors. There is no MQTT, OPC-UA, or automated IoT ingestion path — every reading arrives through manual entry, QR scan, WhatsApp, or OCR photo, which is a feature for plants without instrumentation budget and a gap for plants that already have it.
• Assuming SSO will be available at rollout. No SAML, LDAP, or directory integration exists today, so login is handled per user rather than via a corporate identity provider.

None of this rules out a wired-up future — it just means the wiring is scoped against your real systems rather than sold as a checkbox. If your plant is weighing this against broader reliability goals like OEE or a TPM program, the honest starting point is usually better shop-floor data capture first, connectors second. For a straight answer on what's feasible for your specific ERP or SCADA setup, book a demo and bring the system name.