Screenshot of the Corporate milestone evidence planner interactive demo
Screenshot of the interactive demo, on sample data

Corporate milestone evidence planner

Documented chronology before public celebration.

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For
Company heritage communications teams
Solves
Milestone campaigns cite inconsistent dates.
Delivers
Reviewed milestone evidence register
Built in
about 4 weeks of creation time, MVP in 5 days
Investment
$12,000 for the MVP, $41,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

For company heritage communications teams, turn approved archival records and campaign plans into reviewed milestone evidence register.

  1. Map milestone claims.
  2. Compare source dates.
  3. Flag unresolved conflicts.
  4. Link proposed outputs to original source records.
  5. Capture reviewer corrections and approval.
  6. Export a versioned reviewed milestone evidence register.

What goes in, what comes out

What the customer puts in
  • Approved archival records
  • Campaign plans

AI drafts, people review. Searchable structured library and data stewardship console.

What the customer gets
  • Reviewed milestone evidence register
02

How it works

The workflow

  1. In
    Start with

    Approved archival records and campaign plans

  2. 1

    The buyer creates a project

  3. 2

    Supplies approved archival records and campaign plans

  4. 3

    Confirms scope and access

  5. Out
    Finish with

    Reviewed milestone evidence register

AI does the heavy lifting, people stay in charge

AI assists these bounded tasks: map milestone claims; compare source dates; flag unresolved conflicts. Use only approved archival records and campaign plans and preserve uncertainty in reviewed milestone evidence register. 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, Corporate milestone evidence planner, Review and delivery. 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. Open with brief and sources; move into corporate milestone evidence planner 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

Record ownership, access permissions, change proposals, original-value retention, version history, review dates, bulk import/export and duplicate resolution. 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 company facts, permitted media sources and publication workflows. Source systems, catalog exports and cloud file storage. Start with reversible CSV or file imports and validate identifiers before any direct writes. Begin with uploads and exports of approved archival records and campaign plans. 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: map milestone claims; compare source dates. 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

    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 company heritage communications teams use it to solve "milestone campaigns cite inconsistent dates"?
  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 unresolved milestone dates; 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 archival records and campaign plans. 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: map milestone claims; compare source dates. Support the third task through an assisted review queue: flag unresolved conflicts. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewed milestone evidence register. 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 reviewed milestone evidence register, automate link proposed outputs to original source records; capture reviewer corrections and approval; export a versioned reviewed milestone evidence register. 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 archival records and campaign plans. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

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. 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 archival records and campaign plans. Professional judgment, physical inspections, live external actions and production certification remain outside this prototype.

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: map milestone claims; compare source dates. Manual review in the loop.

    $12,000 · 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.

    $12,000 · about 6 days of creation time

  3. Phase 3

    Full product

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

    $17,000 · about 10 days of creation time

Indicative total, MVP to full product$41,000about 4 weeks of creation time · start with the MVP from $12,000

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$50–$100$80–$160
Full productabout 50 customers$110–$210$350–$700$460–$910
05

Run it or resell it

Internally

For your own team

Company heritage communications teams run it inside the business: approved archival records and campaign plans in, reviewed milestone evidence register 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.

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  • surface#ede4f1
  • ink#22201e
Headings
Playfair Display
Text
Source Sans 3
Voice
Articulate, timely, composed
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. For this buyer, package the first sale around prepare a sample reviewed milestone evidence register from a small authorized set of approved archival records and campaign plans and the defined reviewed milestone evidence register. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Message to test

Documented chronology before public celebration. Demonstrate the result with prepare a sample reviewed milestone evidence register from a small authorized set of approved archival records and campaign plans for company heritage communications teams. Use a concrete before-and-after example without promising unmeasured savings.

Where to find buyers

Communications associations and PR agency networks

Lead magnet

Prepare a sample reviewed milestone evidence register from a small authorized set of approved archival records and campaign plans

The first 30 days

  1. Week 1: interview five prospective buyers from company heritage communications teams and inspect how they handle milestone campaigns cite inconsistent dates.
  2. Week 2: prepare prepare a sample reviewed milestone evidence register from a small authorized set of approved archival records and campaign plans using authorized or synthetic material.
  3. Week 3: share the demonstration through communications associations and PR agency networks and seek one bounded paid pilot.
  4. Week 4: measure unresolved milestone dates; 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 reviewed milestone evidence register from a small authorized set of approved archival records and campaign plans and deliver reviewed milestone evidence register. Compare unresolved milestone dates; 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

Unresolved milestone dates; reviewer correction minutes; buyer acceptance and repeat purchase

Retention and expansion

Build repeat use around reviewed milestone evidence register. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unresolved milestone dates; 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 useful niche taxonomy, customer-approved mappings and accumulated correction history that improve retrieval and reduce repeated cleanup. For this concept, accumulate permissioned examples and reviewer corrections around documented chronology before public celebration. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

Alternatives and positioning

Spreadsheets, shared folders, existing asset or information management systems and manual data cleanup. Position this concept around documented chronology before public celebration. 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

Import cleanup, extraction, storage, indexing, steward review, duplicate investigation and recurring source updates. Initial validation additionally budgets for representative sample preparation, interviews with company heritage communications teams, and buyer-side review of reviewed milestone evidence register. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

06

Safeguards

Verify public facts and quotations. Keep publication authority explicit and preserve the original context behind media and reputation findings. One organization, one defined input format and one representative pilot batch using approved archival records and campaign plans. 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.

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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