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Privacy policyAI and automation in manufacturing
From quoting to the handoff of orders to production, incomplete information and manual tasks consume capacity and delay work. We identify where connecting data and processes could reduce rework, control costs and support growth.
07 / Manufacturing
At Profil, the time from closing an order to its handoff to production fell from up to 72 hours to minutes, with an app that allows sales to be recorded offline.
CRM records, quotes and orders became part of the same workflow. This result concerns the handoff of an order; manufacturing time is not the measure used in this project.
Salespeople need to reconstruct what was agreed with the customer afterwards.
Rules, prices and terms require repeated verification before handoff.
Specialists spend time finding and cross-referencing sources before developing an analysis.
At Grupo DND, the R&D director used AI to repeat in two hours a literature review that had originally taken one month.
This episode concerns a specific review. Formulation, testing and technical validation remain distinct from reviewing literature.
| Area | Possibility | Requirement for defining a pilot |
|---|---|---|
| Sales and orders | Connect records, quotes and production handoffs | Commercial rules, product data and acceptance owners |
| Technical knowledge and R&D | Assist with finding, reading and synthesizing sources | Available documents and specialist review |
| Production planning and procurement | Organize information and exceptions to support planning | Master data, capacity, priorities and reliable sources |
| Quality and maintenance | Organize reports, incidents and historical records for analysis | Technical criteria, usable records and decision boundaries |
Production planning, quality and maintenance applications require their own validation. These case studies do not demonstrate predictive maintenance or automatic machine control.
The conversation starts with expected business impact: reducing costs, protecting margins, increasing capacity or growing revenue. We then assess data, feasibility and risk to define an initial project and how to measure its results.
The scope needs to define what information the solution may use, who validates outputs and which decisions require the team. Changes to production parameters, quality acceptance and maintenance actions require process-specific criteria.
There is no universal requirement. Working with your ERP depends on access, data quality and the selected workflow. A specific integration must be assessed before it enters the scope.
The conversation can start with the current process. Running a pilot requires assessing whether available data supports a reliable comparison and which gaps need to be resolved.
We compare time, rework, cost and capacity before and after in the selected process. Time savings indicate freed capacity; any financial savings must be measured against operating costs.
Specialists define technical criteria and review the information supporting production, quality and research decisions. The project establishes which steps can be automated and which require approval.
Maintenance, support, costs and responsibilities should be defined in the scope, including the expansion decision.
Tell us where your operation loses time and what that prevents the business from doing. Let's assess a priority opportunity.
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