Solution Database / PR and Communications
Internal rumor response evidence desk
Unverified internal questions spread before reliable answers are ready. Communicate knowns and unknowns without monitoring private conversations.

01The offer
For employee communications teams, turn voluntarily submitted questions and approved company facts into approved internal clarification brief. Address this specific problem: unverified internal questions spread before reliable answers are ready. The aim: communicate knowns and unknowns without monitoring private conversations. The pilot tests whether that benefit holds up against reviewer effort and real operating costs.
- For
- Employee communications teams
- Takes in
- Voluntarily submitted questions and approved company facts
- Delivers
- Approved internal clarification brief
- Message
- Communicate knowns and unknowns without monitoring private conversations. Demonstrate the result with prepare responses to twenty submitted questions for employee communications teams. Use a concrete before-and-after example without promising unmeasured savings.
- Lead magnet
- Prepare responses to twenty submitted questions
02How it works
- Group anonymous questions
- Separate unknown facts
- Link approved answers
- Draft transparent responses
- Track review ownership
- Export staff FAQ
Workflow
The buyer creates a project, supplies voluntarily submitted questions and approved company facts, and confirms scope and access. The working sequence is: 1. Group anonymous questions. 2. Separate unknown facts. 3. Link approved answers. 4. Draft transparent responses. 5. Track review ownership. 6. Export staff FAQ. Users correct extracted facts, resolve flagged uncertainties and approve the final approved internal clarification brief before use. Retain source links and a version history for the next cycle.
AI and people
Cluster questions without inferring who asked them. 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: Question inbox, Evidence status, Response drafts. Give end users a simple search or conversation surface with short answers and expandable citations. Administrators get source status, unanswered questions and handoff queues. Show the source date beside relevant answers. Keep conversation context available to the staff member receiving an escalation. Open with question inbox; move into evidence status for the detailed task; finish in response drafts for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Admin
Source ownership, document permissions, freshness checks, conversation history, human handoff, feedback, test questions, usage limits and access logs. 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
Manual search, static FAQs, general chat tools and support or intranet suites. Position this concept around communicate knowns and unknowns without monitoring private conversations. 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 maintained domain knowledge collection, realistic evaluation questions, useful escalation paths and integrations in the customer’s daily work. For this concept, accumulate permissioned examples and reviewer corrections around communicate knowns and unknowns without monitoring private conversations. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
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: unverified internal questions spread before reliable answers are ready.
05Proof & signals
Channels where buyers gather: Employee communications groups and change consultants. Metrics that prove it works: Unanswered questions and unsupported claims.
Paid pilot
Agree the acceptance criteria, input limits and reviewer responsibilities before starting. Run prepare responses to twenty submitted questions and deliver approved internal clarification brief. Compare unanswered questions and unsupported claims 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: Voluntary submissions only; no employee surveillance. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: group anonymous questions; separate unknown facts. Support the third task through an assisted review queue: link approved answers. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of approved internal clarification brief. 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 employee communications teams and inspect how they handle unverified internal questions spread before reliable answers are ready. Week 2: prepare prepare responses to twenty submitted questions using authorized or synthetic material. Week 3: share the demonstration through employee communications groups and change consultants and seek one bounded paid pilot. Week 4: measure unanswered questions and unsupported claims, 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 internal clarification brief, automate draft transparent responses; track review ownership; export staff FAQ. 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. Voluntary submissions only; no employee surveillance.
Retention
Build repeat use around approved internal clarification brief. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unanswered questions and unsupported claims. Offer a recurring volume allowance after repeat demand; expand to adjacent tasks only when the buyer asks and delivery quality remains acceptable.
Integrations
Approved company facts, permitted media sources and publication workflows. Approved knowledge repositories, websites, service desks and staff messaging systems. Validate access inheritance and use read-only ingestion for the initial deployment. Begin with uploads and exports of voluntarily submitted questions and approved company facts. 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
| Phase | Scope | Time | Budget |
|---|---|---|---|
| MVP | One buyer segment, one recurring use case; first modules: group anonymous questions; separate unknown facts. Manual review in the loop. | 4 days | $11,000 |
| Paid pilot | Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers. | 5 days | $11,000 |
| Full product | Self-serve onboarding, billing, monitoring and the wider integration set. | 9 days | $15,500 |
| Total | $37,500 | ||
| Running | Hosting | AI usage | Total a month |
|---|---|---|---|
| MVP and paid pilot (about 3 customers) | $30–$60 | $60–$120 | $90–$180 |
| Full product (about 50 customers) | $110–$210 | $530–$1,050 | $640–$1,260 |
Revenue model to test
Test USD 500-2,000 setup plus USD 150-600 monthly for one defined source collection and usage allowance. Price multi-location deployments and specialist support separately. Validate willingness to pay; these are hypotheses. For this buyer, package the first sale around prepare responses to twenty submitted questions and the defined approved internal clarification brief. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Cost drivers
Document ingestion, retrieval and generation, source maintenance, support, evaluation and staff time handling unresolved cases. Initial validation additionally budgets for communications and privacy review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Verify public facts and quotations. Keep publication authority explicit and preserve the original context behind media and reputation findings. Voluntary submissions only; no employee surveillance. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.
Take it further
Newly authored additional batch of 210 concepts, dated 2026-09-22, for later import. Checked against the existing 413 catalog for exact title and ID duplication, with editorial review of overlap. Demand, differentiation, pricing, build hours, setup costs and integration feasibility are unvalidated planning hypotheses. Category inspiration links are inherited taxonomy references, not evidence that these concepts were covered there.