
Pay transparency explanation studio
Explain compensation policy without inventing individual pay advice.
- For
- Compensation communication teams
- Solves
- Employees cannot understand approved pay frameworks.
- Delivers
- HR-approved pay framework guide
- Built in
- about 5 weeks of creation time, MVP in 6 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
What it does
For compensation communication teams, turn approved pay bands and compensation principles into HR-approved pay framework guide.
- Extract published principles.
- Draft role-level explanations.
- Flag inconsistent wording.
- Build question guides.
- Track approvals.
- Export communication packs.
What goes in, what comes out
- Approved pay bands
- Compensation principles
AI drafts, people review. Source-based content workspace with editorial delivery.
- HR-approved pay framework guide
How it works
The workflow
- InStart with
Approved pay bands and compensation principles
- 1
The buyer creates a project
- 2
Supplies approved pay bands and compensation principles
- 3
Confirms scope and access
- OutFinish with
HR-approved pay framework guide
AI does the heavy lifting, people stay in charge
Draft explanations strictly from approved principles. 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: Framework map, Explanation draft, HR review. Use a project list and editorial calendar beside a document editor. Keep original material and supporting passages in a collapsible side panel. Show outline, draft, review and approved stages. Provide tracked edits, comments, version comparisons and an export preview that reflects the final delivery format. Open with framework map; move into explanation draft for the detailed task; finish in HR review for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Accounts and administration
Client workspaces, source permissions, editorial assignments, change history, reviewer comments, approval gates, revision allowances and export templates. 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
Approved HR documents, employee directories and learning records. Document storage, word processor export, content management systems and approved publishing channels. Pilot with uploads and downloadable drafts before adding write integrations. Begin with uploads and exports of approved pay bands and compensation principles. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.
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
Scoping call
Day 1Thirty 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
MVP
6 daysOne buyer segment, one recurring use case; first modules: extract published principles; draft role-level explanations. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
7 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- Pick the riskiest assumption. Here: will compensation communication teams use it to solve "employees cannot understand approved pay frameworks"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
- Measure, then decide. Track comprehension and corrected claims. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Costed pilot: Policy communication; no salary-setting or legal compliance verdict. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract published principles; draft role-level explanations. Support the third task through an assisted review queue: flag inconsistent wording. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of HR-approved pay framework guide. 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 HR-approved pay framework guide, automate build question guides; track approvals; export communication packs. 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. Policy communication; no salary-setting or legal compliance verdict.
What the build depends on. Document parsing, a source-linked editor, tracked revisions, reviewer workflow and reliable document export. Rich presentation or print output needs format-specific QA. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Policy communication; no salary-setting or legal compliance verdict.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: extract published principles; draft role-level explanations. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$39,000about 5 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.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $70–$140 | $100–$200 |
| Full productabout 50 customers | $110–$210 | $700–$1,400 | $810–$1,610 |
Run it or resell it
For your own team
Compensation communication teams run it inside the business: approved pay bands and compensation principles in, hR-approved pay framework guide out, reviewed by your people.
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
#279178 - accent
#c95454 - surface
#e4f1ee - ink
#22201e
- Headings
- Sora
- Text
- Work Sans
- Voice
- Fair, human, straightforward
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 400-1,500 for a tightly scoped initial content package. Convert repeated work to a monthly retainer with explicit deliverable and revision limits. Specialist review and substantial research are separately scoped. Prices are hypotheses. For this buyer, package the first sale around explain one approved pay framework and the defined HR-approved pay framework guide. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Explain compensation policy without inventing individual pay advice. Demonstrate the result with explain one approved pay framework for compensation communication teams. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Compensation consultants and HR associations
Lead magnet
Explain one approved pay framework
The first 30 days
- Week 1: interview five prospective buyers from compensation communication teams and inspect how they handle employees cannot understand approved pay frameworks.
- Week 2: prepare explain one approved pay framework using authorized or synthetic material.
- Week 3: share the demonstration through compensation consultants and HR associations and seek one bounded paid pilot.
- Week 4: measure comprehension and corrected claims, 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 explain one approved pay framework and deliver HR-approved pay framework guide. Compare comprehension and corrected claims 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
Comprehension and corrected claims
Retention and expansion
Build repeat use around HR-approved pay framework guide. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on comprehension and corrected claims. 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
Customer-approved terminology, reusable structures, source libraries and editorial feedback tied to a specific audience and recurring publishing workflow. For this concept, accumulate permissioned examples and reviewer corrections around explain compensation policy without inventing individual pay advice. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Writers, editors, agencies, internal document templates and general-purpose chat tools. Position this concept around explain compensation policy without inventing individual pay advice. 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
Research and interview time, transcription, model usage, factual verification, subject-matter review, editing and revisions. Initial validation additionally budgets for compensation specialist review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Keep employee data access explicit and confidential. Use human judgment for personnel decisions and do not infer protected traits or hidden personal characteristics. Policy communication; no salary-setting or legal compliance verdict. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.