Screenshot of the Construction sample approval register interactive demo
Screenshot of the interactive demo, on sample data

Construction sample approval register

Trace finishes to exact approved samples.

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For
Architectural finish coordinators
Solves
Physical samples lose links to approval decisions.
Delivers
Professional-reviewed sample register
Built in
about 4 weeks of creation time, MVP in 5 days
Investment
$12,000 for the MVP, $41,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For architectural finish coordinators, turn approved sample records and finish schedules into professional-reviewed sample register.

  1. Match sample identifiers.
  2. Link reviewer decisions.
  3. Flag superseded choices.
  4. Link proposed outputs to original source records.
  5. Capture reviewer corrections and approval.
  6. Export a versioned professional-reviewed sample register.

What goes in, what comes out

What the customer puts in
  • Approved sample records
  • Finish schedules

AI drafts, people review. Searchable structured library and data stewardship console.

What the customer gets
  • Professional-reviewed sample register
02

How it works

The workflow

  1. In
    Start with

    Approved sample records and finish schedules

  2. 1

    The buyer creates a project

  3. 2

    Supplies approved sample records and finish schedules

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Professional-reviewed sample register

AI does the heavy lifting, people stay in charge

AI assists these bounded tasks: match sample identifiers; link reviewer decisions; flag superseded choices. Use only approved sample records and finish schedules and preserve uncertainty in professional-reviewed sample 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.

What your team sees

Key screens: Brief and sources, Construction sample approval register, Review and delivery. 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 construction sample approval register 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.

Accounts and administration

Record ownership, access permissions, change proposals, original-value retention, version history, review dates, bulk import/export and duplicate resolution. Include organization-scoped access, named project owners, review queues, usage limits, export history and retention settings. Never reuse private customer material for other accounts without permission.

Integrations and data access

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 approved sample records and finish schedules. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    5 days

    One buyer segment, one recurring use case; first modules: match sample identifiers; link reviewer decisions. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    6 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    2 weeks

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will architectural finish coordinators use it to solve "physical samples lose links to approval decisions"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
  4. Measure, then decide. Track untraceable sample approvals; reviewer correction minutes; buyer acceptance and repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: One organization, one defined input format and one representative pilot batch using approved sample records and finish schedules. 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: match sample identifiers; link reviewer decisions. Support the third task through an assisted review queue: flag superseded choices. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of professional-reviewed sample 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.

After the MVP. After paying customers repeatedly accept professional-reviewed sample register, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned professional-reviewed sample register. Add one tested read integration, reusable customer configuration and scheduled repeat delivery. Increase supported formats or teams only when evaluation cases and reviewer capacity cover the new scope. One organization, one defined input format and one representative pilot batch using approved sample records and finish schedules. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

What the build depends on. Stable identifiers, an agreed data schema, reversible imports, mapping review and source ownership. Data quality work can exceed model development effort. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: One organization, one defined input format and one representative pilot batch using approved sample records and finish schedules. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: match sample identifiers; link reviewer decisions. Manual review in the loop.

    $12,000 · about 5 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $12,000 · about 6 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $17,000 · about 2 weeks of creation time

Indicative total, MVP to full product$41,000about 4 weeks of creation time · start with the MVP from $12,000

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$50–$100$80–$160
Full productabout 50 customers$110–$210$350–$700$460–$910
05

Run it or resell it

Internally

For your own team

Architectural finish coordinators run it inside the business: approved sample records and finish schedules in, professional-reviewed sample register out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#912781
  • accent#5cc954
  • surface#f1e4ef
  • ink#22201e
Headings
Space Grotesk
Text
Inter
Voice
Solid, practical, on-schedule
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 500-2,500 for one collection cleanup and launch, followed by USD 100-500 monthly for maintenance within agreed record limits. Larger migrations and complex rights management are separately scoped. Prices are hypotheses. For this buyer, package the first sale around prepare a sample professional-reviewed sample register from a small authorized set of approved sample records and finish schedules and the defined professional-reviewed sample register. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Trace finishes to exact approved samples. Demonstrate the result with prepare a sample professional-reviewed sample register from a small authorized set of approved sample records and finish schedules for architectural finish coordinators. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Property and contractor associations and project documentation consultants

Lead magnet

Prepare a sample professional-reviewed sample register from a small authorized set of approved sample records and finish schedules

The first 30 days

  1. Week 1: interview five prospective buyers from architectural finish coordinators and inspect how they handle physical samples lose links to approval decisions.
  2. Week 2: prepare prepare a sample professional-reviewed sample register from a small authorized set of approved sample records and finish schedules using authorized or synthetic material.
  3. Week 3: share the demonstration through property and contractor associations and project documentation consultants and seek one bounded paid pilot.
  4. Week 4: measure untraceable sample approvals; reviewer correction minutes; buyer acceptance and repeat purchase, review delivery effort and ask for a repeat purchase. This is a validation schedule, not a promise that the full product can be built in thirty days.

Paid pilot

Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run prepare a sample professional-reviewed sample register from a small authorized set of approved sample records and finish schedules and deliver professional-reviewed sample register. Compare untraceable sample approvals; reviewer correction minutes; buyer acceptance and repeat purchase with the buyer's current process on comparable cases; include corrections, missed issues and reviewer time. Seek payment and repeat use. Stop or revise the scope if data access, accuracy or unit economics fail.

Success metrics

Untraceable sample approvals; reviewer correction minutes; buyer acceptance and repeat purchase

Retention and expansion

Build repeat use around professional-reviewed sample register. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on untraceable sample approvals; reviewer correction minutes; buyer acceptance and repeat purchase. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.

Why clients would pick it

A useful niche taxonomy, customer-approved mappings and accumulated correction history that improve retrieval and reduce repeated cleanup. For this concept, accumulate permissioned examples and reviewer corrections around trace finishes to exact approved samples. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Spreadsheets, shared folders, existing asset or information management systems and manual data cleanup. Position this concept around trace finishes to exact approved samples. Compare it against the customer's current process on the same representative task. This is proposed differentiation; no exhaustive competitor study or uniqueness claim has been established.

Main delivery costs

Import cleanup, extraction, storage, indexing, steward review, duplicate investigation and recurring source updates. Initial validation additionally budgets for representative sample preparation, interviews with architectural finish coordinators, and qualified domain review of professional-reviewed sample register. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

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 approved sample records and finish schedules. 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.

Get this solution built

Built for you by our AI software factory, MVP in about 5 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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