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Transforming people, systems and information to the AI native work.

Industries We Serve

  1. 01PeopleOwners · engineers · contractors · operators
  2. 02WorkflowsDesign · review · procurement · production
  3. 03InformationModels · drawings · specifications · records
  4. 04DecisionsApprovals · changes · trade-offs
  5. 05ExecutionSite work · manufacturing · test
  6. 06OutcomesTime · cost · quality · risk
■ Where intelligence acts: information and decisions.

Why now?

The conditions inside these industries and the capability of AI are both changing. Together they move AI from isolated experiments into the workflows themselves.

  1. W.01More informationEach project and product produces more models, documents and data than teams can review in full.
  2. W.02More interdependenceWorkflows involve more parties, disciplines and hand-offs, so each step depends on others.
  3. W.03Distributed across systems and organisationsInformation sits in many tools and belongs to different organisations.
  4. W.04More capable AICurrent models can read, compare and draft across long technical documents.
  5. W.05From experiments to workflowsThe opportunity is moving from isolated AI pilots to redesigned workflows.
I.01 · LEAD INDUSTRY

Construction / AEC

A construction project is a temporary organisation. Owners, designers, engineers, contractors, trades and authorities work together for the life of a project, each with their own systems, contracts and responsibilities.

The project moves forward when information moves between them, and each decision depends on that information being current.

PROJECT INFORMATIONModelsDrawingsRFIsSubmittalsChange OrdersSite ReportsRecords
Direct exchange between partiesShared project information
PROJECT INFORMATION
OwnerBrief · Approvals
ArchitectModels · Permits
EngineersModels · Drawings
ContractorDrawings · RFIs · Instructions
TradesInstructions
AuthoritiesPermits · Approvals
FIG. C1 · Stakeholder system of a construction project. Illustrative.

Researching construction workflows

Explore Research
WHITE PAPER SERIESFEATUREDAI in Construction WorkflowsA systematic research programme examining construction workflows one at a time, and where AI applies within them.VIEW THE SERIES →
IN THE SERIES
WP.01Paper 01 · title to be publishedPLACEHOLDER
WP.02Paper 02 · title to be publishedPLACEHOLDER
WP.03Paper 03 · title to be publishedPLACEHOLDER

Case studies

I.02

Manufacturing

Products move from requirements through design and engineering into production, then are proven through test, validation and service. Each stage on the right checks a decision made on the left, so the information from every stage has to stay connected.

  1. M1DEFINERequirementsRequirement specifications
  2. M2DEFINEProduct designCAD models · design reviews
  3. M3DEFINEDetailed engineeringDrawings · BOM · tolerances
  4. M4BUILDManufacturingWork instructions · process data
  5. M5PROVEVerification & testTest plans · test reports
  6. M6PROVEValidationValidation records
  7. M7PROVEQuality & serviceQuality records · field data
FIG. M1 · Product lifecycle with the information each stage produces. Stages on the right check decisions made on the left.

Researching manufacturing workflows

Explore Research
RESEARCH PROGRAMMEManufacturing workflow research is in development.Papers will be published here and will follow the construction series format.EXPLORE CURRENT RESEARCH →
PLANNED
MR.01Research 01 · title to be publishedPLACEHOLDER
MR.02Research 02 · title to be publishedPLACEHOLDER

Case studies

Have a workflow worth transforming?

Describe a business, engineering or operational workflow you want to improve.