Healthcare directory maintenance
One verified profile source across locations and publishing channels.
- For
- Clinic groups managing online provider listings
- Solves
- Services and booking details differ across channels.
- Delivers
- Approved provider directory updates
- Built in
- about 6 weeks of creation time, MVP in 7 days
- Investment
- $11,500 for the MVP, $47,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For clinic groups managing online provider listings, turn verified provider profiles and location records into approved provider directory updates.
- Normalize provider details.
- Compare published listings.
- Flag outdated services.
- Check booking links.
- Assign owners.
- Export approved updates.
What goes in, what comes out
- Verified provider profiles
- Location records
AI drafts, people review. Searchable structured library and data stewardship console.
- Approved provider directory updates
How it works
The workflow
- InStart with
Verified provider profiles and location records
- 1
Import a limited collection
- 2
Define canonical fields
- 3
Suggest tags or mappings
- 4
Review uncertain records
- 5
Publish approved items
- 6
Search and reuse them
- 7
Request periodic owner updates
- OutFinish with
Approved provider directory updates
AI does the heavy lifting, people stay in charge
Suggest classifications, semantic tags, duplicate candidates and field mappings. Preserve original values. Use explicit validation for identifiers and units. Human stewards approve ambiguous merges and factual changes.
What your team sees
Key screens: Provider register, channel comparison, update queue. 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. In this product, the first view is provider register, followed by channel comparison and update queue.
Accounts and administration
Record ownership, access permissions, change proposals, original-value retention, version history, review dates, bulk import/export and duplicate resolution.
Integrations and data access
Clinic-approved content and administrative exports. Clinical integrations require separate assessment. Source systems, catalog exports and cloud file storage. Start with reversible CSV or file imports and validate identifiers before any direct writes. These are candidate integration categories, not verified supported connectors.
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
7 daysOne buyer segment, one recurring use case; first modules: normalize provider details; compare published listings. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
8 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksRemaining modules: check booking links; assign owners; export approved updates. Self-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 clinic groups managing online provider listings use it to solve "services and booking details differ across channels"?
- 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. Clean and organize one representative collection.
- Measure, then decide. Track verified inconsistencies and stale listings. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Begin with clinic groups managing online provider listings and one recurring use case. Build the first two modules: normalize provider details; compare published listings. Provide operator assistance for the third module: flag outdated services. Deliver approved provider directory updates 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.
After the MVP. After paid pilots establish value, automate the remaining modules: check booking links; assign owners; export approved updates. 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.
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.
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: normalize provider details; compare published listings. 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
Remaining modules: check booking links; assign owners; export approved updates. Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$47,000about 6 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 | $50–$100 | $50–$100 | $100–$200 |
| Full productabout 50 customers | $190–$380 | $350–$700 | $540–$1,080 |
Run it or resell it
For your own team
Clinic groups managing online provider listings run it inside the business: verified provider profiles and location records in, approved provider directory updates 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
#27912e - accent
#c954ba - surface
#e4f1e5 - ink
#22201e
- Headings
- Fraunces
- Text
- Inter
- Voice
- Careful, kind, clinically plain
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.
Message to test
Healthcare directory maintenance for clinic groups managing online provider listings. One verified profile source across locations and publishing channels. Demonstrate the claim through a clinic listing consistency audit.
Where to find buyers
Healthcare web agencies
Lead magnet
A clinic listing consistency audit
The first 30 days
- Week 1: interview five prospective buyers in this segment: clinic groups managing online provider listings. Ask to see a recent example of the problem and their current process.
- Week 2: prepare this demonstration using authorized or synthetic material: a clinic listing consistency audit.
- Week 3: present it through healthcare web agencies and seek one narrowly scoped paid pilot.
- Week 4: review verified inconsistencies, stale listings, total delivery effort and a concrete renewal decision before increasing scope.
Paid pilot
Clean and organize one representative collection. Have users perform real search or mapping tasks. Check every proposed merge in the sample and compare search success with the existing system. For this solution, use verified provider profiles and location records and evaluate approved provider directory updates. Agree success thresholds with the buyer before starting; collect a baseline for verified inconsistencies, stale listings. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.
Success metrics
Verified inconsistencies, stale listings
Retention and expansion
Provide owner reminders and periodic cleanup. Add another collection only after record quality and retrieval are stable in the initial one.
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 solution, build around one verified profile source across locations and publishing channels. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.
Alternatives and positioning
Spreadsheets, shared folders, existing asset or information management systems and manual data cleanup. Differentiate on this specific proposed advantage: one verified profile source across locations and publishing channels. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.
Main delivery costs
Import cleanup, extraction, storage, indexing, steward review, duplicate investigation and recurring source updates.
Safeguards
Begin with administrative scope or clinician-reviewed material. Minimize sensitive patient data, restrict access and obtain required organizational review before connecting clinical systems. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.