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Solution Database / IT and Development

Accessibility testing service

Automated scans miss contextual accessibility problems. Combines journey-based manual review with reproducible automated findings.

IT and DevelopmentOperationsCustomer SupportEvidence review and quality assurance workspace

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Demo screen of Accessibility testing service
Opportunity8Very strong
Problem7High pain
Feasibility7Manageable
Why now9Perfect timing
💰 Investment$9,000 MVP$34,000 for the full product
🛠️ Build effort5/1021 days of creation time, MVP in 5 days
⚙️ Running costs$990–$1,960/moat about 50 customers
🧠 Right for you?Check your fitTen questions, instant answer

01The offer

For web agencies delivering customer sites, turn authorized sites, user journeys and agreed testing criteria into accessibility findings and retest evidence. Address the recurring problem: automated scans miss contextual accessibility problems. The value hypothesis is a more complete, reviewable deliverable with less repeated preparation; the pilot must establish whether that benefit is real.

For
Web agencies delivering customer sites
Takes in
Authorized sites, user journeys and agreed testing criteria
Delivers
Accessibility findings and retest evidence
Message
Accessibility testing service for web agencies delivering customer sites. Combines journey-based manual review with reproducible automated findings. Demonstrate the claim through an annotated review of a checkout journey.
Lead magnet
An annotated review of a checkout journey

02How it works

  1. Run automated checks
  2. Inspect keyboard flows
  3. Review semantics
  4. Document user impact
  5. Prioritize fixes
  6. Retest remediations

Workflow

Agree review criteria, ingest a sample, generate candidate findings, inspect supporting evidence, let reviewers confirm or dismiss each item, assign corrections, and recheck the affected material. Start with authorized sites, user journeys and agreed testing criteria and finish with accessibility findings and retest evidence.

AI and people

Propose possible inconsistencies, omissions and rubric matches. Combine extraction with deterministic checks where rules are explicit. Reviewers make the final judgment. Keep false positives and missed cases visible during evaluation.

Screens

Key screens: Journey inventory, issue evidence, fix verification. Open on a review queue ordered by reviewer-selected priorities. Show each finding beside the original evidence and applicable rule. Provide accept, dismiss and needs-information controls with reasons. A separate report view summarizes confirmed findings and unresolved items, not raw AI flags. In this product, the first view is journey inventory, followed by issue evidence and fix verification.

Admin

Versioned review criteria, evidence links, reviewer decisions, disagreement handling, correction assignments, recheck status and exportable review history.

03Market gap

Alternatives buyers use today

Manual reviewers, checklists, generic scanning tools and specialist audit services. Differentiate on this specific proposed advantage: combines journey-based manual review with reproducible automated findings. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.

Where this wins

A domain-specific review rubric and rights-cleared examples of confirmed defects, false alarms and reviewer reasoning. For this solution, build around combines journey-based manual review with reproducible automated findings. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.

04Why now

IT and Development teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. The buyer already feels the problem: automated scans miss contextual accessibility problems.

05Proof & signals

Channels where buyers gather: Web agency partnerships. Metrics that prove it works: Verified issues resolved, false alarms.

Paid pilot

Have a qualified reviewer independently assess the same sample. Compare confirmed findings, false alarms and omissions. Repeat on unseen material before agreeing recurring volume. For this solution, use authorized sites, user journeys and agreed testing criteria and evaluate accessibility findings and retest evidence. Agree success thresholds with the buyer before starting; collect a baseline for verified issues resolved, false alarms. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.

06Execution plan

MVP

Begin with web agencies delivering customer sites and one recurring use case. Build the first two modules: run automated checks; inspect keyboard flows. Provide operator assistance for the third module: review semantics. Deliver accessibility findings and retest evidence through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.

First 30 days

Week 1: interview five prospective buyers in this segment: web agencies delivering customer sites. Ask to see a recent example of the problem and their current process. Week 2: prepare this demonstration using authorized or synthetic material: an annotated review of a checkout journey. Week 3: present it through web agency partnerships and seek one narrowly scoped paid pilot. Week 4: review verified issues resolved, false alarms, total delivery effort and a concrete renewal decision before increasing scope.

After the pilot

After paid pilots establish value, automate the remaining modules: document user impact; prioritize fixes; retest remediations. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.

Retention

Offer recurring reviews and rechecks of previously confirmed issues. Expand document or case types after validating the new rubric with qualified reviewers.

Integrations

Authorized repositories, technical documentation, application APIs and logs. Source repositories, task trackers and report exports. Keep findings as review proposals until authorized owners accept the resulting actions. These are candidate integration categories, not verified supported connectors.

07Investment and running costs

PhaseScopeTimeBudget
MVPOne buyer segment, one recurring use case; first modules: run automated checks; inspect keyboard flows. Manual review in the loop.5 days$9,000
Paid pilotAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.6 days$10,500
Full productRemaining modules: document user impact; prioritize fixes; retest remediations. Self-serve onboarding, billing, monitoring and the wider integration set.10 days$14,500
Total$34,000
RunningHostingAI usageTotal a month
MVP and paid pilot (about 3 customers)$30–$60$80–$160$110–$220
Full product (about 50 customers)$110–$210$880–$1,750$990–$1,960

Revenue model to test

Test USD 500-2,000 for a defined audit sample and report. Offer recurring review priced by reviewed items and specialist hours. Software-only access can follow a reliable reviewed service. All prices require validation.

Cost drivers

Document or media processing, model evaluation, expert review, false-positive handling, rechecks and customer-specific rubric calibration.

Safeguards

Protect secrets, customer data and source code. Use controlled environments, technical review and a recoverable deployment process. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.

Take it further

Concept proposal expanded from the 315-solution conversation. Demand, pricing, differentiation, build scope and integration feasibility are hypotheses, not verified market findings. Category link is inspiration rather than evidence of business viability.