Manufacturing

AI and software for manufacturing operations, starting with the handovers between orders, purchasing, production and dispatch.

01

Processes to Explore in Manufacturing

01

Production Planning

Order changes, stock levels and production schedules can sit in separate systems. Discovery maps where planners re-enter information and how changes reach the factory floor.

02

Procurement and Supply Chain

Purchase orders, supplier updates and delivery records need to agree before materials reach production. We assess document handling, matching and exception review.

03

Quality Documentation

Inspection records and supporting documents need traceability. We assess where AI could help retrieve or prepare information, with quality decisions kept under human review.

04

Operational Reporting

Production, inventory and dispatch data may use different identifiers. We examine the source data and definitions before proposing consolidated reporting.

02

How We Engage

01

Map the Process

We review a defined operational process with the people who run it, including handovers, exceptions and the decisions that require approval.

02

Check Systems and Data

We assess access to production, inventory and business systems, including data quality and integration constraints. Existing equipment and software inform the scope.

03

Define the Implementation

We agree the process boundaries, approval points and measures for evaluating a proposed AI or software implementation before development.

04

Build and Evaluate

Implementation is tested against representative production scenarios, including missing information and exceptions, before an agreed rollout.

03

Adaca Autopilot and AI Pods

Adaca Autopilot

Adaca Autopilot provides pre-developed workflows. Discovery establishes which workflows fit the requirements, followed by implementation, verification and ongoing operation and support through the product subscription.

Adaca AI Pods

Adaca AI Pods delivers custom-built technology around the agreed requirements. An engagement can combine custom development and Autopilot workflows, with ongoing operation and support through an SLA and product subscription as needed.

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