
Public facility booking rules explainer
Cited facility-use information before requests.
- For
- Municipal recreation teams
- Solves
- Residents misunderstand permitted facility uses.
- Delivers
- Staff-reviewed booking guidance
- Built in
- about 5 weeks of creation time, MVP in 6 days
- Investment
- $14,000 for the MVP, $47,500 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For municipal recreation teams, turn approved booking policies and facility facts into staff-reviewed booking guidance.
- Retrieve applicable clauses.
- Flag unknown conditions.
- Draft applicant questions.
- Link proposed outputs to original source records.
- Capture reviewer corrections and approval.
- Export a versioned staff-reviewed booking guidance.
What goes in, what comes out
- Approved booking policies
- Facility facts
AI drafts, people review. Source-linked assistant and administrator console.
- Staff-reviewed booking guidance
How it works
The workflow
- InStart with
Approved booking policies and facility facts
- 1
The buyer creates a project
- 2
Supplies approved booking policies and facility facts
- 3
Confirms scope and access
- OutFinish with
Staff-reviewed booking guidance
AI does the heavy lifting, people stay in charge
AI assists these bounded tasks: retrieve applicable clauses; flag unknown conditions; draft applicant questions. Use only approved booking policies and facility facts and preserve uncertainty in staff-reviewed booking guidance. 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, Public facility booking rules explainer, Review and delivery. Give end users a simple search or conversation surface with short answers and expandable citations. Administrators get source status, unanswered questions and handoff queues. Show the source date beside relevant answers. Keep conversation context available to the staff member receiving an escalation. Open with brief and sources; move into public facility booking rules explainer 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
Source ownership, document permissions, freshness checks, conversation history, human handoff, feedback, test questions, usage limits and access logs. 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
Official publications, agency document stores and approved service workflows. Approved knowledge repositories, websites, service desks and staff messaging systems. Validate access inheritance and use read-only ingestion for the initial deployment. Begin with uploads and exports of approved booking policies and facility facts. 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: retrieve applicable clauses; flag unknown conditions. 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 municipal recreation teams use it to solve "residents misunderstand permitted facility uses"?
- 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 incomplete booking inquiries; 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 approved booking policies and facility facts. 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: retrieve applicable clauses; flag unknown conditions. Support the third task through an assisted review queue: draft applicant questions. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of staff-reviewed booking guidance. 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 staff-reviewed booking guidance, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned staff-reviewed booking guidance. 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 approved booking policies and facility facts. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.
What the build depends on. Permission-filtered retrieval, document versioning, a question evaluation set, staff handoff and a source update process. Reliability depends on source quality and scope. 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 approved booking policies and facility facts. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.
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: retrieve applicable clauses; flag unknown conditions. 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$47,500about 5 weeks of creation time · start with the MVP from $14,000
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.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $50–$100 | $60–$120 | $110–$220 |
| Full productabout 50 customers | $190–$380 | $530–$1,050 | $720–$1,430 |
Run it or resell it
For your own team
Municipal recreation teams run it inside the business: approved booking policies and facility facts in, staff-reviewed booking guidance 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
#479127 - accent
#a254c9 - surface
#e8f1e4 - ink
#22201e
- Headings
- Space Grotesk
- Text
- Inter
- Voice
- Plain-spoken, neutral, accountable
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 500-2,000 setup plus USD 150-600 monthly for one defined source collection and usage allowance. Price multi-location deployments and specialist support separately. Validate willingness to pay; these are hypotheses. For this buyer, package the first sale around prepare a sample staff-reviewed booking guidance from a small authorized set of approved booking policies and facility facts and the defined staff-reviewed booking guidance. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Cited facility-use information before requests. Demonstrate the result with prepare a sample staff-reviewed booking guidance from a small authorized set of approved booking policies and facility facts for municipal recreation teams. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Public-service associations and civic process consultancies
Lead magnet
Prepare a sample staff-reviewed booking guidance from a small authorized set of approved booking policies and facility facts
The first 30 days
- Week 1: interview five prospective buyers from municipal recreation teams and inspect how they handle residents misunderstand permitted facility uses.
- Week 2: prepare prepare a sample staff-reviewed booking guidance from a small authorized set of approved booking policies and facility facts using authorized or synthetic material.
- Week 3: share the demonstration through public-service associations and civic process consultancies and seek one bounded paid pilot.
- Week 4: measure incomplete booking inquiries; 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 staff-reviewed booking guidance from a small authorized set of approved booking policies and facility facts and deliver staff-reviewed booking guidance. Compare incomplete booking inquiries; 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
Incomplete booking inquiries; reviewer correction minutes; buyer acceptance and repeat purchase
Retention and expansion
Build repeat use around staff-reviewed booking guidance. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on incomplete booking inquiries; 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
A maintained domain knowledge collection, realistic evaluation questions, useful escalation paths and integrations in the customer’s daily work. For this concept, accumulate permissioned examples and reviewer corrections around cited facility-use information before requests. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Manual search, static FAQs, general chat tools and support or intranet suites. Position this concept around cited facility-use information before requests. 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 ingestion, retrieval and generation, source maintenance, support, evaluation and staff time handling unresolved cases. Initial validation additionally budgets for representative sample preparation, interviews with municipal recreation teams, and qualified domain review of staff-reviewed booking guidance. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Preserve official source versions, accessibility and audit records. Confirm agency-specific procurement, records and data handling requirements during discovery. One organization, one defined input format and one representative pilot batch using approved booking policies and facility facts. 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.