What is Queli Makra?

Queli Makra is an operational platform for recurring business work. It sits across the systems and records a company already uses and keeps the pieces of a workflow together: current work state, permissions, rules, source evidence, owners, and the next governed action.

How the operating layer works

A process can start with an email and attachment, a WhatsApp conversation, a PDF, an Excel file, an ERP record, a CRM record, an accounting entry, or a shared file. Makra brings the relevant context together, applies the configured rules, and prepares the next useful object. That object may be a structured record, a task, a draft, a classification, a reminder, a report, or an exception queue.

The original source stays connected to the prepared result. A reviewer can see which invoice line, message, file, or existing record led to the proposed field or follow-up. When information is missing or confidence is low, the workflow keeps the exception visible for the responsible person instead of filling the gap silently.

What Makra prepares

Consider a multilingual supplier invoice. Makra can read the document, check the details that matter, and prepare a reviewed ERP draft with exceptions attached. For a receivables process, it can combine open items, customer records, and email history into a prioritized reminder and escalation queue. For an order that arrives through text, voice, photos, and a PDF, it can prepare one structured order and ask for missing information.

The output is specific to the process and its current state. Makra shows whether the work is prepared, waiting for review, approved, or completed in another system. The finance, compliance, sales, or operations person responsible for the decision remains visible throughout the workflow.

Where it fits with existing systems

Makra does not require a company to adopt an ERP, CRM, or AI system before it starts. A workflow can begin with the surfaces where work already arrives, then connect established business systems when the process needs them. If a company already runs an ERP or CRM, Makra works across it rather than describing the existing system as something to discard.

Connection method and availability depend on the customer’s systems, permissions, and data boundaries. Model provider, region, retention, and customer-hosted choices are selected per workload and confirmed before production. That makes Makra an operating layer designed around a company’s real process, not a fixed promise about every connector or deployment.

Results in daily work

An automotive parts company reduced invoice processing time by 98% and shortened Intrastat preparation from five days to five minutes. An import/export company moved more than 60 daily receivables follow-ups out of spreadsheets and into one visible process. These examples show how Makra starts with one recurring workload and expands as the company connects more context and decisions.