Screenshot of the Remote product trial evidence recorder interactive demo
Screenshot of the interactive demo, on sample data

Remote product trial evidence recorder

Make trial decisions traceable to agreed evidence.

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For
Manufacturers selling complex business products
Solves
Trial outcomes are described informally without agreed measurements.
Delivers
Buyer-and-engineer-reviewed trial evidence pack
Built in
about 4 weeks of creation time, MVP in 4 days
Investment
$19,000 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

Make trial decisions traceable to agreed evidence.

  1. Capture agreed observations.
  2. Compare supplied acceptance criteria.
  3. Prepare joint reviewer discussions.
  4. Compare the reviewed result with the recorded baseline and value assumptions.
  5. Capture corrections and named-owner approval before consequential use.
  6. Export a versioned buyer-and-engineer-reviewed trial evidence pack with source references and unresolved questions.

What goes in, what comes out

What the customer puts in
  • Buyer-approved trial protocol
  • Authorized sensor summaries

AI drafts, people review. Operational coordination portal.

What the customer gets
  • Buyer-and-engineer-reviewed trial evidence pack
02

How it works

The workflow

  1. In
    Start with

    Buyer-approved trial protocol and authorized sensor summaries

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect buyer-approved trial protocol and authorized sensor summaries

  4. 3

    Then follow this sequence: 1

  5. Out
    Finish with

    Buyer-and-engineer-reviewed trial evidence pack

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. No automated safety approval or manipulated product performance claims. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Request and prerequisites, Owner-controlled task board, Completion evidence. 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. Make the task-specific outcome buyer-and-engineer-reviewed trial evidence pack visible beside its evidence, review state and value baseline.

Accounts and administration

Role permissions, task ownership, deadlines, reminders, approval gates, exception handling, action history, duplicate prevention and reversible configuration. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Approved sales collateral, CRM records and product or pricing information. Calendars, email, task managers and relevant business records. Use draft actions and supervised handoffs first, then enable only specifically authorized writes. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

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

    4 days

    One buyer segment, one recurring use case; first modules: capture agreed observations; compare supplied acceptance criteria. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    5 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    10 days

    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 manufacturers selling complex business products use it to solve "trial outcomes are described informally without agreed measurements"?
  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 quality and outcome thresholds before the pilot using this measure: Trial decision preparation time and accepted useful evidence.
  4. Measure, then decide. Track trial decision preparation time and accepted useful evidence; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: No automated safety approval or manipulated product performance claims. Implement one approved input format, a bounded representative case set and the first two task modules: capture agreed observations; compare supplied acceptance criteria. Support the third module with operator review: prepare joint reviewer discussions. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around buyer-and-engineer-reviewed trial evidence pack. Retain the explicit scope boundary: No automated safety approval or manipulated product performance claims.

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 cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: No automated safety approval or manipulated product performance claims.

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: capture agreed observations; compare supplied acceptance criteria. Manual review in the loop.

    $19,000 · about 4 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 5 days of creation time

  3. Phase 3

    Full product

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

    $18,000 · about 10 days of creation time

Indicative total, MVP to full product$50,000about 4 weeks of creation time · start with the MVP from $19,000

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

Manufacturers selling complex business products run it inside the business: buyer-approved trial protocol and authorized sensor summaries in, buyer-and-engineer-reviewed trial evidence 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#912753
  • accent#54c9a8
  • surface#f1e4ea
  • ink#22201e
Headings
Space Grotesk
Text
Inter
Voice
Direct, upbeat, outcome-focused
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. Package the initial sale as one bounded buyer-and-engineer-reviewed trial evidence pack. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Make trial decisions traceable to agreed evidence. Demonstrate a concrete buyer-and-engineer-reviewed trial evidence pack using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Manufacturers selling complex business products professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample buyer-and-engineer-reviewed trial evidence pack from a small authorized input set, with a transparent calculation of trial decision preparation time and accepted useful evidence and no promised savings.

The first 30 days

  1. Week 1: interview five manufacturers selling complex business products and inspect a recent example of trial outcomes are described informally without agreed measurements.
  2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure trial decision preparation time and accepted useful evidence, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Trial decision preparation time and accepted useful evidence. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Trial decision preparation time and accepted useful evidence; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs buyer-and-engineer-reviewed trial evidence pack. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

Customer-specific workflow rules, reliable handoffs, operational history and integrations that make the service part of daily work. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for manufacturers selling complex business products. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Shared inboxes, spreadsheets, task boards and existing workflow automation products. Compare this product with the buyer's present method on trial decision preparation time and accepted useful evidence. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Workflow configuration, integration maintenance, model calls, notification delivery, exception support and monitoring. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of buyer-and-engineer-reviewed trial evidence pack. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Keep product capabilities and commercial terms verified. Use authorized customer records and require review before outreach, promises or pricing exceptions. No automated safety approval or manipulated product performance claims. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 4 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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