Qinch solutions are built on the Qinch Intelligence Engine and shaped around each client's systems, data and regulatory context. These deployments show what that looks like in practice.
Each of these runs on QIE. The challenge is the client's; the solution is what the engine was configured to do.
Mitigate the risks of public SaaS use, specifically in relation to handling restricted or confidential data.
Users describe a project and the system identifies SaaS usage and sensitive data, prompts for detail, logs the interaction, assigns a Risk Register ID, and shares best practice for low-risk tools — escalating higher-risk cases to security personnel.
Enhance compliance processes, focusing on system architecture diagram analysis and risk assessment.
The system assesses architecture diagrams for regulatory compliance, guides refinement, collects information via questionnaire, generates data-flow diagrams, analyses risks and control gaps, computes risk ratings and produces a full risk register.
Help employees swiftly access accurate procurement information.
A Procurement AI Assistant gives concise answers with citations to source documents and policies, plus screenshots of the relevant sections for context and traceability.
Close knowledge gaps among employees that lead to inaccurate or delayed customer responses.
An AI-powered knowledge platform covering product features, marketing strategy and competitive analysis — supporting training and strengthening sales and customer support.
Inefficiencies from experience gaps among assurance team members conducting audit reviews.
An AI knowledge assistant that surfaces key financial data and anomalies for critical review and automates reporting — reducing senior review backlogs and catching gaps and omissions.
Tell us a little about your systems and we'll come back with how QIE would connect to them — and what a first deployment looks like.