Screenshot of the Research equipment booking readiness interactive demo
Screenshot of the interactive demo, on sample data

Research equipment booking readiness

Connect booking requests to verified administrative prerequisites.

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For
Shared research facility coordinators
Solves
Instrument time is wasted when required preparation is incomplete.
Delivers
Facility-approved booking readiness record
Built in
about 4 weeks of creation time, MVP in 5 days
Investment
$13,000 for the MVP, $44,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For shared research facility coordinators, turn facility-approved checklists and booking requests into facility-approved booking readiness record.

  1. Select preparation checklist.
  2. Flag missing training records.
  3. Track required documents.
  4. Draft staff questions.
  5. Record readiness approval.
  6. Export booking briefs.

What goes in, what comes out

What the customer puts in
  • Facility-approved checklists
  • Booking requests

AI drafts, people review. Operational coordination portal.

What the customer gets
  • Facility-approved booking readiness record
02

How it works

The workflow

  1. In
    Start with

    Facility-approved checklists and booking requests

  2. 1

    The buyer creates a project

  3. 2

    Supplies facility-approved checklists and booking requests

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Facility-approved booking readiness record

AI does the heavy lifting, people stay in charge

Match documented prerequisites without assessing scientific safety. 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: Booking intake, Readiness evidence, Staff approval. Use a queue or timeline as the opening view, with clear owners, dates and current states. Each case opens into its source context, proposed actions and discussion. Give external participants a limited form or status page. Make the next required action visible without opening every record. Open with booking intake; move into readiness evidence for the detailed task; finish in staff approval for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Accounts and administration

Role permissions, task ownership, deadlines, reminders, approval gates, exception handling, action history, duplicate prevention and reversible configuration. 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 datasets, papers, protocols, code and research records. Calendars, email, task managers and relevant business records. Use draft actions and supervised handoffs first, then enable only specifically authorized writes. Begin with uploads and exports of facility-approved checklists and booking requests. 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

    5 days

    One buyer segment, one recurring use case; first modules: select preparation checklist; flag missing training records. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    6 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 shared research facility coordinators use it to solve "instrument time is wasted when required preparation is incomplete"?
  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 incomplete bookings and preventable idle slots. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Costed pilot: Administrative readiness; no autonomous instrument operation. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: select preparation checklist; flag missing training records. Support the third task through an assisted review queue: track required documents. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of facility-approved booking readiness record. 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 facility-approved booking readiness record, automate draft staff questions; record readiness approval; export booking briefs. 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. Administrative readiness; no autonomous instrument operation.

What the build depends on. Explicit state definitions, owner mapping, approval rules, idempotent actions, notifications and recovery procedures. Workflow reliability matters more than fluent text. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Administrative readiness; no autonomous instrument operation.

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: select preparation checklist; flag missing training records. Manual review in the loop.

    $13,000 · about 5 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.

    $13,000 · about 6 days of creation time

  3. Phase 3

    Full product

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

    $18,000 · about 2 weeks of creation time

Indicative total, MVP to full product$44,000about 4 weeks of creation time · start with the MVP from $13,000

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$40–$90$70–$150
Full productabout 50 customers$110–$210$280–$560$390–$770
05

Run it or resell it

Internally

For your own team

Shared research facility coordinators run it inside the business: facility-approved checklists and booking requests in, facility-approved booking readiness record 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#912751
  • accent#54c98d
  • surface#f1e4e9
  • ink#22201e
Headings
Fraunces
Text
Inter
Voice
Rigorous, transparent, cited
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test USD 750-2,500 setup plus USD 200-800 monthly for one bounded workflow and team. Cap case volume and implementation scope. Larger operational integrations need separate quotes. Prices are hypotheses. For this buyer, package the first sale around review twenty booking requests and the defined facility-approved booking readiness record. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Connect booking requests to verified administrative prerequisites. Demonstrate the result with review twenty booking requests for shared research facility coordinators. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Core facility networks and lab managers

Lead magnet

Review twenty booking requests

The first 30 days

  1. Week 1: interview five prospective buyers from shared research facility coordinators and inspect how they handle instrument time is wasted when required preparation is incomplete.
  2. Week 2: prepare review twenty booking requests using authorized or synthetic material.
  3. Week 3: share the demonstration through core facility networks and lab managers and seek one bounded paid pilot.
  4. Week 4: measure incomplete bookings and preventable idle slots, 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 review twenty booking requests and deliver facility-approved booking readiness record. Compare incomplete bookings and preventable idle slots 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 bookings and preventable idle slots

Retention and expansion

Build repeat use around facility-approved booking readiness record. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on incomplete bookings and preventable idle slots. 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-specific workflow rules, reliable handoffs, operational history and integrations that make the service part of daily work. For this concept, accumulate permissioned examples and reviewer corrections around connect booking requests to verified administrative prerequisites. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Shared inboxes, spreadsheets, task boards and existing workflow automation products. Position this concept around connect booking requests to verified administrative prerequisites. 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

Workflow configuration, integration maintenance, model calls, notification delivery, exception support and monitoring. Initial validation additionally budgets for facility specialist review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Preserve original data, methods, citations and research limitations. Use researcher review and document every substantive transformation. Administrative readiness; no autonomous instrument operation. 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 5 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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