AI Automation & Data that delivers.
Turn manual, repetitive work into intelligent pipelines that run on their own.
Most business processes stall in the same place: something arrives as a PDF, a scanned form or an email, and a person has to read it before anything else can happen. AI data extraction and AI OCR processing remove that step, turning invoices, delivery notes, applications and contracts into structured records your systems can act on.
Once the data is structured the rest follows. AI CRM automation and AI ERP integrations put it where it belongs. Smart reporting and AI business intelligence turn it into something a manager reads rather than assembles. AI forecasting and predictive analytics use the history you have already accumulated to say what is likely to happen next, and AI decision support puts that in front of the person making the call.
This is deliberately not the same practice as our workflow automation work. Workflow automation connects tools in rules you could write down. This starts where the input is messy and the judgement isn't a rule — reading a document, classifying an exception, flagging a compliance breach. Most companies eventually need both, and it's worth drawing the line before either is built.
Why teams choose Clovai
- Exceptions surface instead of vanishingConfidence thresholds route uncertain records to a person rather than writing a wrong value into your ERP and moving on.
- Measured against the manual baselineWe record how long the process takes and how often it errs before automating it, so the improvement afterwards is a number rather than an impression.
- Auditable by designEvery extracted field keeps a link back to the page and region it came from, which is what makes automated compliance defensible rather than merely fast.
- Runs without anyone watchingPipelines run on a schedule or a trigger and stay quiet until something actually needs a decision.
What's included
A full toolkit of ai automation & data capabilities, delivered and integrated for you.
Frequently asked questions
Our documents aren't standardised — does that break it?+
No, that variability is the reason to use AI extraction rather than a template parser. A layout change doesn't require someone to rewrite the rules.
How accurate is data extraction, realistically?+
It depends on the document type and scan quality, which is why we benchmark on your real documents before quoting rather than promising a number in the abstract. The confidence threshold is then set where a human check costs less than an error.
How is this different from workflow automation?+
Workflow automation moves data between systems using rules. This reads unstructured input and makes a judgement about it. If you can write the rule down, you want workflow automation; if the input is a document, you want this.
See Workflow AutomationDo we need a data warehouse before we start?+
No. We work with the systems you already have, and a warehouse — if it ever makes sense — is a consequence of having clean structured data, not a prerequisite for producing it.
Ready to put ai automation & data to work?
Tell us your goals and we'll show you exactly where this creates measurable value.
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