Renovation material choice decision book

For interior project coordinators, turn client-approved samples and selection notes into client-reviewed selection register. Address this specific problem: client selections change without clear approval history. The aim: exact approved choices before procurement. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

The buyer creates a project, supplies client-approved samples and selection notes, and confirms scope and access. Users correct extracted facts, resolve flagged uncertainties and approve the final client-reviewed selection register before use. Retain source links and a version history for the next cycle.

How the AI works

AI assists these bounded tasks: track chosen variants; preserve decision context; flag contradictory approvals. Use only client-approved samples and selection notes and preserve uncertainty in client-reviewed selection register. Keep model suggestions separate from verified facts. Link factual outputs to authorized input evidence and show missing information explicitly. Use deterministic checks for counts, dates, identifiers and arithmetic where applicable. A designated reviewer validates consequential outputs and signs off the delivered result.

Safeguards

Verify property facts and scope assumptions. Clearly label visual alterations. Professional reviewers retain responsibility for contracts, engineering and legal interpretations. One organization, one defined input format and one representative pilot batch using client-approved samples and selection notes. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.

What to build first

Costed pilot: One organization, one defined input format and one representative pilot batch using client-approved samples and selection notes. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: track chosen variants; preserve decision context. Support the third task through an assisted review queue: flag contradictory approvals. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of client-reviewed selection register. Authentication, account isolation, deletion controls and basic operational logging are included. Specialized production certification, live write integrations and broader rollout are not included unless explicitly stated.

What it can connect to

Property records, construction documents, project photos and supplier quotes. Source systems, catalog exports and cloud file storage. Start with reversible CSV or file imports and validate identifiers before any direct writes. Begin with uploads and exports of client-approved samples and selection notes. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

The screens in detail

Use a searchable table or visual gallery with filters for the domain’s important attributes. Open each item into a detail drawer containing source records, ownership and history. Put proposed merges and field changes in a separate review queue. Provide a preview before any bulk export. Open with brief and sources; move into renovation material choice decision book for the detailed task; finish in review and delivery for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.