Screenshot of the Permission test scenario studio interactive demo
Screenshot of the interactive demo, on sample data

Permission test scenario studio

Turn explicit permissions into traceable allowed and denied cases.

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For
Application security and QA teams
Solves
Role changes are shipped without realistic access-boundary tests.
Delivers
Reviewed authorization test pack
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$17,000 for the MVP, $50,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For application security and QA teams, turn approved role matrices and endpoint specifications into reviewed authorization test pack.

  1. Extract allowed actions.
  2. Generate negative cases.
  3. Map endpoints.
  4. Draft test fixtures.
  5. Track reviewer approval.
  6. Export test specifications.

What goes in, what comes out

What the customer puts in
  • Approved role matrices
  • Endpoint specifications

AI drafts, people review. Technical delivery workspace with managed implementation.

What the customer gets
  • Reviewed authorization test pack
02

How it works

The workflow

  1. In
    Start with

    Approved role matrices and endpoint specifications

  2. 1

    The buyer creates a project

  3. 2

    Supplies approved role matrices and endpoint specifications

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Reviewed authorization test pack

AI does the heavy lifting, people stay in charge

Draft test cases from declared rules; engineers verify expected behavior. 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: Role matrix, Scenario generator, Test evidence. Show a work backlog, proposed changes and verification results. Link each item to its source configuration, code or data mapping. Provide execution logs and an owner-facing health view. Keep environments and approval states clearly separated so a draft cannot be mistaken for a live change. Open with role matrix; move into scenario generator for the detailed task; finish in test evidence for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Accounts and administration

Project access, environment separation, versioned changes, test evidence, owner approvals, execution logs, rollback instructions and incident handling. 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. Approved repositories, application APIs, execution platforms and monitoring systems. Validate current API access and behavior during discovery before promising compatibility. Begin with uploads and exports of approved role matrices and endpoint specifications. 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

    6 days

    One buyer segment, one recurring use case; first modules: extract allowed actions; generate negative cases. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    7 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 application security and QA teams use it to solve "role changes are shipped without realistic access-boundary tests"?
  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 uncovered permissions and validated test coverage. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: Authorized test environment only. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract allowed actions; generate negative cases. Support the third task through an assisted review queue: map endpoints. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewed authorization test pack. 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 reviewed authorization test pack, automate draft test fixtures; track reviewer approval; export test specifications. 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. Authorized test environment only.

What the build depends on. Authorized technical access, suitable test environments, documented APIs or schemas, secrets management, meaningful checks and recovery procedures. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Authorized test environment only.

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: extract allowed actions; generate negative cases. Manual review in the loop.

    $17,000 · about 6 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.

    $14,000 · about 7 days of creation time

  3. Phase 3

    Full product

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

    $19,000 · about 2 weeks of creation time

Indicative total, MVP to full product$50,000about 5 weeks of creation time · start with the MVP from $17,000

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$60–$120$90–$180
Full productabout 50 customers$110–$210$530–$1,050$640–$1,260
05

Run it or resell it

Internally

For your own team

Application security and QA teams run it inside the business: approved role matrices and endpoint specifications in, reviewed authorization test pack 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#277c91
  • accent#c98554
  • surface#e4eef1
  • ink#22201e
Headings
Sora
Text
Work Sans
Voice
Technical, direct, no hype
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 1,000-4,000 for one bounded implementation or technical review, then USD 200-1,000 monthly for defined maintenance. Hosting, vendor fees and major feature changes are separate. Prices are hypotheses. For this buyer, package the first sale around generate cases for one role matrix and the defined reviewed authorization test pack. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Turn explicit permissions into traceable allowed and denied cases. Demonstrate the result with generate cases for one role matrix for application security and QA teams. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Security engineering communities and QA partners

Lead magnet

Generate cases for one role matrix

The first 30 days

  1. Week 1: interview five prospective buyers from application security and QA teams and inspect how they handle role changes are shipped without realistic access-boundary tests.
  2. Week 2: prepare generate cases for one role matrix using authorized or synthetic material.
  3. Week 3: share the demonstration through security engineering communities and QA partners and seek one bounded paid pilot.
  4. Week 4: measure uncovered permissions and validated test coverage, 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 generate cases for one role matrix and deliver reviewed authorization test pack. Compare uncovered permissions and validated test coverage 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

Uncovered permissions and validated test coverage

Retention and expansion

Build repeat use around reviewed authorization test pack. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on uncovered permissions and validated test coverage. 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

Reliable niche implementations, integration knowledge, representative tests and ongoing operational responsibility. For this concept, accumulate permissioned examples and reviewer corrections around turn explicit permissions into traceable allowed and denied cases. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Developers, system integrators, existing automation products and internal engineering work. Position this concept around turn explicit permissions into traceable allowed and denied cases. 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

Engineering, testing, cloud execution, third-party API fees, monitoring, incident response and vendor-change maintenance. Initial validation additionally budgets for security engineer review. 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. Authorized test environment only. 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 6 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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