Manufacturing companies: Shared intelligence across manufacturing
Eight areas, from planning to after-sales, in one context.
In a manufacturing company, knowledge is scattered across the ERP, email, spreadsheets and the team’s experience. Hexense brings it together in a shared context, and in each area below agents work on top of that context. The ERP remains the system of record: transactions run under the application’s own rules, and sensitive steps go to approval.
Deployment and data boundaries follow your organization’s policy: cloud, on-premises server or G-Box.
Planning AI
Orders, stock, capacity and supply status are read in one context. The agent notices when an expected material has not arrived, when an order’s delivery date is at risk or when capacity is tightening, and brings a plan change proposal with its reasoning to the person responsible. The decision to change the plan stays with people.
Finance AI
Collections, payments, budget and cost information flow from the ERP into the shared context. The agent watches collections that are coming due or overdue, budget lines that drift and unusual movements; it opens follow-up tasks for the right person and prepares the report. Accounting entries are posted under the ERP’s rules.
Master Data Management AI
Material, bill of materials, customer and supplier records multiply and decay over time: duplicates, missing fields, inconsistent units. When a new record is created the agent shows similar ones, flags missing and conflicting fields, and brings correction proposals to approval. Changes are made with an authorized person’s approval, under the source system’s rules.
Business Process AI
From purchase request to shipment, the shared context shows which stage each process is in and who it is waiting on. If an approval has been idle for days or an expected record was never created, the agent notices and opens work for the person responsible. Repetitive steps run with agents; sensitive steps go to approval.
Corporate Communication AI
Emails, meeting notes and announcements sit with the related customer, project and action. The agent links incoming correspondence to the right context, drafts replies in your organization’s voice based on past correspondence, and turns meeting decisions into actions and tasks. The decision to send stays with people.
Human Resources AI
Who works on what, with which skills, lives in shared memory. Leave, timekeeping and performance processes run in the context of the work; the agent tracks missing documents and upcoming dates, and brings new employees the information and training they need.
Document Management AI
Technical drawings, instructions, certificates, contracts and quotes stay linked to the related product, project and customer. The agent reads each document, files it in the right place and reminds you of upcoming expiry dates; when you ask a question, it brings the answer together with its source document. Access is limited by workspace and role permissions.
After-Sales Service AI
Fault reports, service visits, spare parts and warranty information appear together with the customer’s and product’s history. The agent classifies incoming requests, brings up similar past faults and their fixes, opens the service task for the right person and notices requests left unanswered.