Make production knowledge searchable with appropriate access controls
Give production teams a reliable route to the current instruction, while keeping permissions and source ownership intact.
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Review engineering documents with AI-assisted checks
Prepare a structured review of technical documents while preserving revision control and engineering responsibility.
PlaybookTurn work instructions into a source-grounded assistant
Make internal procedures easier to consult, with citations, access boundaries, and a clear response to missing information.
PlaybookExtract project requirements before preparing an estimate
Help estimators find and reconcile relevant specifications while retaining control of assumptions and commercial decisions.
PlaybookCompare site evidence with the construction programme
Use site capture and structured comparison to make progress reporting more consistent and actionable.
PlaybookDraft weekly progress reports for project-manager review
Turn organised site evidence into a report draft that a project manager can verify and approve.
PlaybookAnswer product questions from an up-to-date catalogue
Combine approved product knowledge and live catalogue data without letting a model invent stock, pricing, or suitability.
PlaybookHandle peak order enquiries through exception queues
Separate routine order-status work from exceptions that need a person, especially during seasonal demand peaks.
PlaybookAdd route optimisation to an existing dispatch workflow
Use structured constraints and optimisation to support dispatch planning while preserving operational control.
PlaybookUse voice agents for routine carrier coordination
Bound voice automation to specific coordination tasks with structured checks and human exception handling.
PlaybookConnect learner support to reliable operational knowledge
Help support teams answer routine learner questions while keeping account context and changing policies under control.
PlaybookBring training-content production into a controlled internal workflow
Use AI-assisted production to make learning materials easier to create and update, with editorial ownership retained.
PlaybookRun a business AI endpoint on a Mac Studio
Set up a bounded local inference service, then check model fit, latency, and day-to-day operating effort.
GuideRun local AI automation on an NVIDIA-equipped PC
Build an inference baseline around actual GPU memory, validated outputs, and a recoverable software environment.
GuideSize model memory, quantisation, and context for your hardware
Estimate a sensible starting point, then verify actual memory pressure and task quality before increasing model size.
GuideExtract structured business data with a small local model
Move from a convincing response to a validated record, with explicit missing values and a controlled downstream handoff.
GuideBuild a local knowledge assistant over operating procedures
Keep retrieval, permissions, answer generation, and source updates independently understandable and testable.
GuideProcess operational notes and reports through a local batch workflow
Run a small local assistant with explicit input limits, validated output, and a recoverable batch process.
GuideServe a local model to a team with authentication and monitoring
Turn a workstation experiment into a bounded service with identity, queue limits, update procedures, and an owner.
GuideBenchmark a local AI workstation using real business tasks
Compare quality, latency, memory, and accepted-task cost on a reproducible workload rather than a headline token rate.
GuideChoose the lowest-cost model that meets the task requirements
Evaluate capability by task, route expensive work selectively, and count review and operating effort alongside inference charges.
GuideUse frontier models in an industrial engineering design workflow
Use stronger reasoning for briefs and design support while keeping geometry, calculations, verification, and approval in explicit tools and processes.
GuideCombine local automation and frontier models for interior design
Separate specification handling, complex brief analysis, and visual concept generation to control cost and keep design decisions traceable.
GuideDistil a small local model for delivery-note extraction
Inspect a bounded teacher–student experiment with independent synthetic ground truth, rejected labels, and measured local evaluation.
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