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What is COACH?

COACH transforms your technical procedures into intelligent, executable workflows.

Generate work instructions instantly from prompts, documents, or videos and deploy AI-guided execution that adapts as your operations evolve. Ensure your documentation is current with procedures that are easy to review, revise, and republish as your your requirements, workflows, and tools rapidly change.

AI Optimized Work Instructions

Cognitive Observant Assistant for Coaching and Helping.
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GIRA SECTION: TEXT IN PROGRESS

Transform documents from the bottleneck in your workflow to one of the gears in your pipeline with Redshred’s easily integrated start-to-finish document extraction tools.

Identifying Regions of Interest

Redshred automatically identifies regions of interest (e.g., paragraphs, warnings, images, notes, schematics, equations, etc.) on the physical layout of a document and annotates them as ‘segments’. For example, a segment might be a paragraph of textual instructions and the enrichment data might be named entities such as parts or actions from a state-of-the-art machine learning model, or troubleshooting output from an LLM, or a segment could even be the individual nodes and edges in a fault isolation tree.

Layering Extracted Information

Most documents support different and complex use cases - your extracted metadata should do the same. Perspectives in Redshred form layers of segments on a document that represent a common kind of metadata. For example, you might run the tech manuals model on your maintenance manuals to see warnings, instruction lists, diagrams, and notes. Pages will be broken down based on these these types of segments. These types of segments are a kind of “mental model” that users may have when they look at a page. Another perspective might be mentions of tools, materials and parts inside of paragraphs and lists. These document perspectives can fuel other perspectives or be exported directly.

Collaboration over All Your Documents

Redshred scales seamlessly to large quantities of documents and supports team collaboration over all uploaded documents. Groups of documents in RedShred are called collections. Each collection is a group of documents that share a common configuration and therefore their own unique layers of extracted information. Teams can rapidly create, configure, share and use specific collections for their specific needs.

Prompt to Procedure

Enable your team to quickly operationalize knowledge without manual rewriting or formatting.

COACH's Procedure Authoring Tool transforms conversational instructions into executable procedures. Automatically convert informal guidance from subject matter experts, field observations, or operational notes, into standardized workflows ready for immediate deployment.
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PDF to Procedure

Eliminate your team's need to navigate complex documentation during critical maintenance operations.
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COACH extracts actionable procedures from technical manuals automatically. Redshred's document intelligence converts dense PDFs into structured, actionable workflows, transforming legacy documentation into clear, digital instructions for your organization.
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Video to Procedure

Turn your organization's training content into operational workflows that can be deployed where and when it is needed.

COACH transforms instructional videos into structured procedures by extracting key actions and sequencing them into structured procedures. Expert demonstrations become repeatable, auditable workflows, allowing you to preserve expert knowledge in immediately useable formats.
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Procedure to Interactive Guidance

Ensure procedures are completed correctly and with confidence, not just documented.

With AI-guided intelligence, COACH converts static procedures into interactive workflows where users receive contextual assistance at each step. Procedures can be imported directly from Redshred's platform or imported from sources like iFixit. Technicians can ask questions, verify actions, and track progress in real time, ensuring tasks are executed correctly and without guesswork.
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