Screenshot of the Accessibility issue reproduction notebook interactive demo
Screenshot of the interactive demo, on sample data

Accessibility issue reproduction notebook

Complete reproduction evidence before triage.

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For
Accessibility engineering teams
Solves
Reported barriers lack reproducible steps.
Delivers
Reviewer-ready accessibility issue
Built in
about 3 weeks of creation time, MVP in 4 days
Investment
$11,500 for the MVP, $39,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For accessibility engineering teams, turn consented reports and approved test criteria into reviewer-ready accessibility issue.

  1. Structure reproduction steps.
  2. Identify missing context.
  3. Draft tester questions.
  4. Link proposed outputs to original source records.
  5. Capture reviewer corrections and approval.
  6. Export a versioned reviewer-ready accessibility issue.

What goes in, what comes out

What the customer puts in
  • Consented reports
  • Approved test criteria

AI drafts, people review. Client intake portal and staff exception queue.

What the customer gets
  • Reviewer-ready accessibility issue
02

How it works

The workflow

  1. In
    Start with

    Consented reports and approved test criteria

  2. 1

    The buyer creates a project

  3. 2

    Supplies consented reports and approved test criteria

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Reviewer-ready accessibility issue

AI does the heavy lifting, people stay in charge

AI assists these bounded tasks: structure reproduction steps; identify missing context; draft tester questions. Use only consented reports and approved test criteria and preserve uncertainty in reviewer-ready accessibility issue. 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, Accessibility issue reproduction notebook, Review and delivery. Give submitters a mobile-friendly step-by-step form with document uploads and a visible completeness checklist. Staff see a queue with missing items and extracted fields. Place the original document beside each uncertain value. Show submitted, clarification required and ready-for-review states. Open with brief and sources; move into accessibility issue reproduction notebook 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

Secure uploads, configurable checklists, progress saving, duplicate handling, reviewer assignments, clarification threads, deadlines and submission history. 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

Authorized repositories, technical documentation, application APIs and logs. Case management, customer records, document storage and notification systems. Begin with an exportable review pack before automating destination writes. Begin with uploads and exports of consented reports and approved test criteria. 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

    4 days

    One buyer segment, one recurring use case; first modules: structure reproduction steps; identify missing context. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    5 days

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

  4. 4

    Full product

    8 days

    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 accessibility engineering teams use it to solve "reported barriers lack reproducible steps"?
  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 reproducible reported barriers; 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 consented reports and approved test criteria. 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: structure reproduction steps; identify missing context. Support the third task through an assisted review queue: draft tester questions. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewer-ready accessibility issue. 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 reviewer-ready accessibility issue, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned reviewer-ready accessibility issue. 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 consented reports and approved test criteria. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

What the build depends on. Secure upload handling, reliable extraction, versioned completeness rules, submitter identity and staff routing. Third-party checklist changes require maintenance. 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 consented reports and approved test criteria. 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: structure reproduction steps; identify missing context. Manual review in the loop.

    $11,500 · about 4 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.

    $11,500 · about 5 days of creation time

  3. Phase 3

    Full product

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

    $16,000 · about 8 days of creation time

Indicative total, MVP to full product$39,000about 3 weeks of creation time · start with the MVP from $11,500

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$40–$90$70–$150
Full productabout 50 customers$110–$210$280–$560$390–$770
05

Run it or resell it

Internally

For your own team

Accessibility engineering teams run it inside the business: consented reports and approved test criteria in, reviewer-ready accessibility issue 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#277891
  • accent#c95454
  • surface#e4eef1
  • ink#22201e
Headings
Manrope
Text
Manrope
Voice
Technical, direct, no hype
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 500-2,000 setup plus USD 150-750 monthly for one form family and a capped submission volume. Quote specialist review and unusual document formats separately. Prices are experimental. For this buyer, package the first sale around prepare a sample reviewer-ready accessibility issue from a small authorized set of consented reports and approved test criteria and the defined reviewer-ready accessibility issue. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Complete reproduction evidence before triage. Demonstrate the result with prepare a sample reviewer-ready accessibility issue from a small authorized set of consented reports and approved test criteria for accessibility engineering teams. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Developer communities and specialist engineering consultancies

Lead magnet

Prepare a sample reviewer-ready accessibility issue from a small authorized set of consented reports and approved test criteria

The first 30 days

  1. Week 1: interview five prospective buyers from accessibility engineering teams and inspect how they handle reported barriers lack reproducible steps.
  2. Week 2: prepare prepare a sample reviewer-ready accessibility issue from a small authorized set of consented reports and approved test criteria using authorized or synthetic material.
  3. Week 3: share the demonstration through developer communities and specialist engineering consultancies and seek one bounded paid pilot.
  4. Week 4: measure reproducible reported barriers; 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 reviewer-ready accessibility issue from a small authorized set of consented reports and approved test criteria and deliver reviewer-ready accessibility issue. Compare reproducible reported barriers; 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

Reproducible reported barriers; reviewer correction minutes; buyer acceptance and repeat purchase

Retention and expansion

Build repeat use around reviewer-ready accessibility issue. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on reproducible reported barriers; 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

Document-type expertise, tested completeness rules and a low-friction client experience embedded in a repeat administrative process. For this concept, accumulate permissioned examples and reviewer corrections around complete reproduction evidence before triage. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Email collection, generic web forms, spreadsheets and existing case management systems. Position this concept around complete reproduction evidence before triage. 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

Document processing, storage, exception review, support, checklist maintenance and customer-specific integration work. Initial validation additionally budgets for representative sample preparation, interviews with accessibility engineering teams, and buyer-side review of reviewer-ready accessibility issue. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Protect secrets, customer data and source code. Use controlled environments, technical review and a recoverable deployment process. One organization, one defined input format and one representative pilot batch using consented reports and approved test criteria. 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 4 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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