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Solution Database / PR and Communications

Public statement evidence checker

Unsupported claims survive normal copy editing. Claim-level review that exposes the evidence behind public wording.

PR and CommunicationsWritersExecutives and StrategyOperationsEvidence review and quality assurance workspace

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Demo screen of Public statement evidence checker
Opportunity8Very strong
Problem6Real pain
Feasibility8Straightforward
Why now7Good timing
💰 Investment$7,000 MVP$25,000 for the full product
🛠️ Build effort3/1015 days of creation time, MVP in 3 days
⚙️ Running costs$990–$1,960/moat about 50 customers
🧠 Right for you?Check your fitTen questions, instant answer

01The offer

For communications teams publishing factual statements, turn draft statements and approved evidence sources into statement evidence verification report. Address the recurring problem: unsupported claims survive normal copy editing. The value hypothesis is a more complete, reviewable deliverable with less repeated preparation; the pilot must establish whether that benefit is real.

For
Communications teams publishing factual statements
Takes in
Draft statements and approved evidence sources
Delivers
Statement evidence verification report
Message
Public statement evidence checker for communications teams publishing factual statements. Claim-level review that exposes the evidence behind public wording. Demonstrate the claim through an annotated factual-claim review.
Lead magnet
An annotated factual-claim review

02How it works

  1. Extract factual claims
  2. Locate supplied evidence
  3. Flag overstatement
  4. Check dates and quantities
  5. Distinguish opinion
  6. Record reviewer decisions

Workflow

Agree review criteria, ingest a sample, generate candidate findings, inspect supporting evidence, let reviewers confirm or dismiss each item, assign corrections, and recheck the affected material. Start with draft statements and approved evidence sources and finish with statement evidence verification report.

AI and people

Propose possible inconsistencies, omissions and rubric matches. Combine extraction with deterministic checks where rules are explicit. Reviewers make the final judgment. Keep false positives and missed cases visible during evaluation.

Screens

Key screens: Claim list, supporting passages, reviewer verdict. Open on a review queue ordered by reviewer-selected priorities. Show each finding beside the original evidence and applicable rule. Provide accept, dismiss and needs-information controls with reasons. A separate report view summarizes confirmed findings and unresolved items, not raw AI flags. In this product, the first view is claim list, followed by supporting passages and reviewer verdict.

Admin

Versioned review criteria, evidence links, reviewer decisions, disagreement handling, correction assignments, recheck status and exportable review history.

03Market gap

Alternatives buyers use today

Manual reviewers, checklists, generic scanning tools and specialist audit services. Differentiate on this specific proposed advantage: claim-level review that exposes the evidence behind public wording. Test it against the buyer's current method on the same task. Competitor coverage and uniqueness have not been established.

Where this wins

A domain-specific review rubric and rights-cleared examples of confirmed defects, false alarms and reviewer reasoning. For this solution, build around claim-level review that exposes the evidence behind public wording. This advantage requires execution and accumulated customer trust; the base model alone is not a defensible asset.

04Why now

PR and Communications 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. The buyer already feels the problem: unsupported claims survive normal copy editing.

05Proof & signals

Channels where buyers gather: PR legal review partners. Metrics that prove it works: Confirmed unsupported claims, false alarms.

Paid pilot

Have a qualified reviewer independently assess the same sample. Compare confirmed findings, false alarms and omissions. Repeat on unseen material before agreeing recurring volume. For this solution, use draft statements and approved evidence sources and evaluate statement evidence verification report. Agree success thresholds with the buyer before starting; collect a baseline for confirmed unsupported claims, false alarms. A positive signal is payment and repeat use with acceptable quality and delivery cost, not a favorable demo reaction alone.

06Execution plan

MVP

Begin with communications teams publishing factual statements and one recurring use case. Build the first two modules: extract factual claims; locate supplied evidence. Provide operator assistance for the third module: flag overstatement. Deliver statement evidence verification report through a manual review queue. Perform other necessary full-scope functions manually during the pilot. Include all applicable access, accuracy and professional-review controls from the start.

First 30 days

Week 1: interview five prospective buyers in this segment: communications teams publishing factual statements. Ask to see a recent example of the problem and their current process. Week 2: prepare this demonstration using authorized or synthetic material: an annotated factual-claim review. Week 3: present it through PR legal review partners and seek one narrowly scoped paid pilot. Week 4: review confirmed unsupported claims, false alarms, total delivery effort and a concrete renewal decision before increasing scope.

After the pilot

After paid pilots establish value, automate the remaining modules: check dates and quantities; distinguish opinion; record reviewer decisions. Add one validated source integration, reusable customer configuration and recurring delivery. Expand to additional teams, document formats or languages only after testing the new scope.

Retention

Offer recurring reviews and rechecks of previously confirmed issues. Expand document or case types after validating the new rubric with qualified reviewers.

Integrations

Approved company facts, permitted media sources and publication workflows. Source repositories, task trackers and report exports. Keep findings as review proposals until authorized owners accept the resulting actions. These are candidate integration categories, not verified supported connectors.

07Investment and running costs

PhaseScopeTimeBudget
MVPOne buyer segment, one recurring use case; first modules: extract factual claims; locate supplied evidence. Manual review in the loop.3 days$7,000
Paid pilotAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.4 days$7,500
Full productRemaining modules: check dates and quantities; distinguish opinion; record reviewer decisions. Self-serve onboarding, billing, monitoring and the wider integration set.8 days$10,500
Total$25,000
RunningHostingAI usageTotal a month
MVP and paid pilot (about 3 customers)$30–$60$80–$160$110–$220
Full product (about 50 customers)$110–$210$880–$1,750$990–$1,960

Revenue model to test

Test USD 500-2,000 for a defined audit sample and report. Offer recurring review priced by reviewed items and specialist hours. Software-only access can follow a reliable reviewed service. All prices require validation.

Cost drivers

Document or media processing, model evaluation, expert review, false-positive handling, rechecks and customer-specific rubric calibration.

Safeguards

Verify public facts and quotations. Keep publication authority explicit and preserve the original context behind media and reputation findings. Validate source access and reviewer availability during the pilot. Maintain customer-level access, data deletion controls and a record of final approvals.

Take it further

Concept proposal expanded from the 315-solution conversation. Demand, pricing, differentiation, build scope and integration feasibility are hypotheses, not verified market findings. Category link is inspiration rather than evidence of business viability.