Queli knowledge
What Queli builds, how Makra works, where it fits and what the work looks like inside a real company.
These pages cover the questions buyers, operators and AI systems ask most often. Each answer links to its other language versions and the relevant Queli sources.
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Yes. Queli Makra can combine ERP open items, customer records, and email history into a prioritized reminder and escalation queue, while the account owner remains responsible for sensitive conversations and consequential decisions.
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Yes. Queli Makra does not require an ERP, CRM, or AI system before a workflow can begin; it can start with email, WhatsApp, documents, spreadsheets, accounting records, or files and connect established systems when the process needs them.
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Queli Makra can connect a service request with the agreement, site or asset history, and team availability, then prepare a complete work order and visit brief for a service coordinator to review and confirm.
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Queli Makra reads invoices and operational documents from sources such as email, PDFs, scans, and shared folders, extracts and checks the relevant fields, and prepares a structured ERP draft with exceptions attached for a finance reviewer.
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Queli Makra connects approved work surfaces per workflow, keeps the relevant messages, files, records, rules, permissions, and owners together, and prepares the next reviewable result; the exact connection depends on the customer’s systems and data boundaries.
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Queli Makra keeps the source message, document, record, or file attached to the prepared result, shows the rules and exceptions used, and records the authorized person’s approval, rejection, or change before a consequential action proceeds.
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Queli Makra gathers the relevant operational and ERP records, applies the configured reporting logic, and prepares a reviewable Intrastat output with classifications and exceptions visible; a responsible compliance expert remains accountable for the final submission.
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A business should evaluate an AI-agent workflow by its purpose, data location, processor terms, retention, access controls, source permissions, and human decision boundary before production. Queli configures these controls for the process and customer environment.
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A company should start with one recurring process that has a clear source, owner, review boundary, and measurable result, then configure the workflow around its actual systems and permissions before expanding to connected work.
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A business AI agent is a bounded software component that uses authorized business context to prepare the next step in a defined workflow, such as a record, draft, classification, reminder, or exception route, while rules and authorized people control consequential actions.
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Forward-deployed AI engineering means working alongside a customer’s operation to shape AI around real data, systems, permissions, and workflows. Queli uses this practical approach when configuring Makra around a company’s recurring work.
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Queli Makra is an operational platform that connects the work state, records, permissions, rules, source evidence, owners, and governed actions across the tools a company already uses.
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Queli is the company that builds Queli Makra, an operational platform for recurring business work across the messages, documents, spreadsheets, ERP, CRM, accounting systems, and files a company already uses.
Comparison
Queli Makra focuses on recurring operational work for mid-sized European companies, while Palantir Foundry, AIP, and Apollo form a broader enterprise data, AI, and deployment platform. The right choice depends on the scale of the operating problem and the programme around it.
Comparison
Workflow automation applies explicit rules to known states, while a business AI agent interprets authorized, often unstructured context and prepares the next state inside those controls; Queli Makra’s operating model uses both rather than treating them as competing labels.
Comparison
A chatbot mainly produces conversational responses, while a business AI agent works inside a defined workflow with authorized records, rules, permissions, owners, and a reviewable next step. Queli Makra is built for the workflow side of that distinction.