Marketing claim evidence vault

01The offer

For consumer brand marketing teams, turn authorized substantiation files and claim approvals into approved marketing claim register. Address this specific problem: approved claims become disconnected from supporting evidence. The aim: reuse claims with their evidence and limitations attached. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.

For

Consumer brand marketing teams

Takes in

Authorized substantiation files and claim approvals

Delivers

Approved marketing claim register

Message

Reuse claims with their evidence and limitations attached. Demonstrate the result with map twenty campaign claims for consumer brand marketing teams. Use a concrete before-and-after example without promising unmeasured savings.

Lead magnet

Map twenty campaign claims

02How it works

1. Extract proposed claims
2. Link support documents
3. Record approval scope
4. Flag expired evidence
5. Track permitted channels
6. Export claim packs

Workflow

The buyer creates a project, supplies authorized substantiation files and claim approvals, and confirms scope and access. The working sequence is: 1. Extract proposed claims. 2. Link support documents. 3. Record approval scope. 4. Flag expired evidence. 5. Track permitted channels. 6. Export claim packs. Users correct extracted facts, resolve flagged uncertainties and approve the final approved marketing claim register before use. Retain source links and a version history for the next cycle.

AI and people

Suggest evidence links while reviewers assess substantiation. 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.

Screens

Key screens: Claim library, Evidence links, Expiry review. 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 claim library; move into evidence links for the detailed task; finish in expiry review for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.

Admin

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.

03Market gap

Alternatives buyers use today

Spreadsheets, shared folders, existing asset or information management systems and manual data cleanup. Position this concept around reuse claims with their evidence and limitations attached. 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.

Where this wins

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 reuse claims with their evidence and limitations attached. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.

04Why now

Marketing teams are adopting AI for exactly this kind of repeatable work, and the cost of language and vision models has dropped far enough that a narrow, reviewed workflow pays back quickly. Rising compliance and audit expectations make a documented, reviewable process worth more than an ad hoc one. The buyer already feels the problem: approved claims become disconnected from supporting evidence.

05Proof & signals

Channels where buyers gather: Brand compliance consultants and marketing operations groups. Metrics that prove it works: Unsupported claims and approval turnaround.

Paid pilot

Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run map twenty campaign claims and deliver approved marketing claim register. Compare unsupported claims and approval turnaround 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.

06Execution plan

MVP

Costed pilot: Evidence organization; no regulatory clearance guarantees. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract proposed claims; link support documents. Support the third task through an assisted review queue: record approval scope. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of approved marketing claim 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.

First 30 days

Week 1: interview five prospective buyers from consumer brand marketing teams and inspect how they handle approved claims become disconnected from supporting evidence. Week 2: prepare map twenty campaign claims using authorized or synthetic material. Week 3: share the demonstration through brand compliance consultants and marketing operations groups and seek one bounded paid pilot. Week 4: measure unsupported claims and approval turnaround, 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.

After the pilot

After paying customers repeatedly accept approved marketing claim register, automate flag expired evidence; track permitted channels; export claim packs. 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. Evidence organization; no regulatory clearance guarantees.

Retention

Build repeat use around approved marketing claim register. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unsupported claims and approval turnaround. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.

Integrations

Approved brand material, campaign exports and authorized customer research. 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 authorized substantiation files and claim approvals. Any named system or connector is a candidate requiring current access and compatibility checks; no live connection is included by default.

07Investment and running costs

Revenue model 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 map twenty campaign claims and the defined approved marketing claim register. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.

Cost drivers

Import cleanup, extraction, storage, indexing, steward review, duplicate investigation and recurring source updates. Initial validation additionally budgets for subject-matter and compliance review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.

Safeguards

Verify product claims and permissions. Distinguish observed campaign results from causal explanations and keep customer data collection authorized. Evidence organization; no regulatory clearance guarantees. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.