# Corlogic

> Corlogic is an enterprise AI platform that connects business context, monitoring, decisions, workflows and approvals. It helps teams investigate operational issues and coordinate action across people and business systems.

Corlogic connects supporting evidence, decisions and outcomes so teams can review what happened and improve their processes. It turns decisions into action, and keeps a record of what worked so the next decision starts from a stronger position. The platform follows an Understand / Observe / Reason / Act cycle, with applications in procurement, retail and construction.

## Platform

- [Home](https://corlogic.ai/): Introduction to Corlogic and its Understand / Observe / Reason / Act cycle for connecting business context to action.
- [Platform](https://corlogic.ai/platform/): Overview of Corlogic IQ, Pulse, and Workflows and Approvals, and how they connect business questions, monitored conditions and coordinated responses.
- [Technology](https://corlogic.ai/technology/): Technical foundations, including StarEngine's governed semantic model, inspectable SQL, a BPMN 2.0 process runtime, bounded AI agents and system-wide controls.

## Products

- [Corlogic IQ](https://corlogic.ai/platform/corlogic-iq/): Ask business questions in plain English and inspect the exact SQL behind supported answers.
- [Pulse](https://corlogic.ai/platform/pulse/): Monitoring for the targets, conditions and exceptions configured with your team.
- [Workflows and Approvals](https://corlogic.ai/platform/workflows-and-approvals/): Coordinated work across people, configured AI agents and connected systems, with human approval where required.
- [StarEngine](https://corlogic.ai/technology/starengine/): The governed star model of facts, dimensions and business definitions that Corlogic's answers are compiled from.

## Industry solutions

- [Solutions](https://corlogic.ai/solutions/): Overview of Corlogic's applications in procurement, retail and construction.
- [Procurement](https://corlogic.ai/solutions/procurement/): How Procura360, Corlogic's own procurement product, connects purchase requests, supplier communication, quotations, ERP purchasing, delivery follow-up and supplier evaluation.
- [Retail](https://corlogic.ai/solutions/retail/): How Corlogic connects sales, inventory, margins, returns and store execution to help teams identify exceptions, review evidence and coordinate a response.
- [Construction](https://corlogic.ai/solutions/construction/): How HARÇ, Corlogic's own construction product, connects site progress, supporting records, responsibilities, claims and financial commitments.

## Use cases

- [Store sales decline](https://corlogic.ai/solutions/retail/store-sales-decline/): When a group of stores falls behind target: where the decline is concentrated, what the evidence says, who follows up.
- [RFQ and quotation comparison](https://corlogic.ai/solutions/procurement/rfq-and-quotation-comparison/): From a purchase request to compared quotations: structured requests, personalized RFQs and replies kept together.
- [Progress payments](https://corlogic.ai/solutions/construction/progress-payments/): From work completed to payment expected: reported progress, its evidence, review, approval and the resulting commitment.

## Comparisons

- [Corlogic and BI dashboards](https://corlogic.ai/compare/bi-dashboards/): What dashboards do well, where they stop, and what Corlogic adds after the number.
- [Corlogic and text-to-SQL chat tools](https://corlogic.ai/compare/text-to-sql-chat-tools/): A language model that interprets the question, with SQL compiled deterministically from an approved model.
- [Corlogic and RPA or BPM tools](https://corlogic.ai/compare/rpa-and-bpm/): A BPMN 2.0 process runtime connected to the business model, the monitored conditions and the investigation.
- [Corlogic or building in-house](https://corlogic.ai/compare/building-in-house/): What sits between a language model and an answer you can act on, and which parts Corlogic provides.

## Glossary

- [Glossary](https://corlogic.ai/glossary/): Plain-language definitions of the data, AI and process terms used on this site.
- [Semantic layer](https://corlogic.ai/glossary/semantic-layer/): A semantic layer defines business terms and how they are calculated once, between raw data and the people or tools that query it.
- [Star schema](https://corlogic.ai/glossary/star-schema/): A star schema organizes analytical data into fact tables that record events and dimension tables that describe what those events involve.
- [Text-to-SQL](https://corlogic.ai/glossary/text-to-sql/): Text-to-SQL converts a question written in ordinary language into a SQL query a database can run, today usually with a large language model.
- [BPMN 2.0](https://corlogic.ai/glossary/bpmn/): BPMN 2.0 is a standard notation for describing business processes as tasks, events and gateways, with an XML format tools can exchange.
- [DMN](https://corlogic.ai/glossary/dmn/): DMN is a standard for describing business decisions separately from processes, most often as decision tables that map conditions to outcomes.
- [Human-in-the-loop](https://corlogic.ai/glossary/human-in-the-loop/): Human-in-the-loop describes a system in which people review, approve or correct what software, especially AI, proposes before it takes effect.
- [AI agent](https://corlogic.ai/glossary/ai-agent/): An AI agent is software that uses a language model to carry out a task by choosing its own steps and tools instead of following a fixed script.
- [Row-level security](https://corlogic.ai/glossary/row-level-security/): Row-level security limits which rows of a table each user or role can read or change, on top of which tables they can reach.
- [Model Context Protocol (MCP)](https://corlogic.ai/glossary/model-context-protocol/): The Model Context Protocol is an open protocol that gives AI applications a standard way to connect to external tools and data sources.
- [Forward-deployed engineering](https://corlogic.ai/glossary/forward-deployed-engineering/): Forward-deployed engineering is a delivery model in which a vendor's engineers work directly with the customer's teams on the customer's problem.
- [Request for quotation (RFQ)](https://corlogic.ai/glossary/request-for-quotation/): A request for quotation is a document a buyer sends to suppliers asking them to quote a price and terms for specified goods or services.
- [Progress payment (hakediş)](https://corlogic.ai/glossary/progress-payment/): A progress payment pays a contractor or subcontractor for the work completed in a period, before the whole job is finished.

## Company

- [Company](https://corlogic.ai/company/): Corlogic's purpose, team values, Forward-Deployed Engineering approach and information about the other products built by the team.
- [Security](https://corlogic.ai/security/): Access control, privacy at the model boundary, bounded AI agents, human review and audit.
- [Resources](https://corlogic.ai/resources/): Product pages, use cases, comparisons and a glossary.

## Other languages

- [Türkçe](https://corlogic.ai/tr/)

## Optional

- [Procura360](https://procura360.ai/): Corlogic's own product for procurement teams, connecting purchase requests, supplier communication, quotations, ERP documents, delivery follow-up and supplier evaluation.
- [IMROS](https://imros.ai/): Corlogic's own product for restaurant chains and food-service businesses, covering online channels, branch operations, supply chain and reporting.
- [Feedberry](https://feedberry.ai/): Corlogic's own product for planning, managing and reviewing a brand's social media activity.