
Internal rumor response evidence desk
Communicate knowns and unknowns without monitoring private conversations.
- For
- Employee communications teams
- Solves
- Unverified internal questions spread before reliable answers are ready.
- Delivers
- Approved internal clarification brief
- Built in
- about 4 weeks of creation time, MVP in 4 days
- Investment
- $11,000 for the MVP, $37,500 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For employee communications teams, turn voluntarily submitted questions and approved company facts into approved internal clarification brief.
- Group anonymous questions.
- Separate unknown facts.
- Link approved answers.
- Draft transparent responses.
- Track review ownership.
- Export staff FAQ.
What goes in, what comes out
- Voluntarily submitted questions
- Approved company facts
AI drafts, people review. Source-linked assistant and administrator console.
- Approved internal clarification brief
How it works
The workflow
- InStart with
Voluntarily submitted questions and approved company facts
- 1
The buyer creates a project
- 2
Supplies voluntarily submitted questions and approved company facts
- 3
Confirms scope and access
- OutFinish with
Approved internal clarification brief
AI does the heavy lifting, people stay in charge
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.
What your team sees
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.
Accounts and administration
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.
Integrations and data access
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.
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
Scoping call
Day 1Thirty 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
MVP
4 daysOne buyer segment, one recurring use case; first modules: group anonymous questions; separate unknown facts. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
5 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
9 daysSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- Pick the riskiest assumption. Here: will employee communications teams use it to solve "unverified internal questions spread before reliable answers are ready"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree the acceptance criteria, input limits and reviewer responsibilities before starting.
- Measure, then decide. Track unanswered questions and unsupported claims. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. 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.
After the MVP. 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.
What the build depends on. Permission-filtered retrieval, document versioning, a question evaluation set, staff handoff and a source update process. Reliability depends on source quality and scope. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: Voluntary submissions only; no employee surveillance.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: group anonymous questions; separate unknown facts. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$37,500about 4 weeks of creation time · start with the MVP from $11,000
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.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $60–$120 | $90–$180 |
| Full productabout 50 customers | $110–$210 | $530–$1,050 | $640–$1,260 |
Run it or resell it
For your own team
Employee communications teams run it inside the business: voluntarily submitted questions and approved company facts in, approved internal clarification brief out, reviewed by your people.
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
#5f2791 - accent
#8fc954 - surface
#ebe4f1 - ink
#22201e
- Headings
- Fraunces
- Text
- Inter
- Voice
- Articulate, timely, composed
Selling it to your own clients: the go-to-market playbook
Pricing 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.
Message to test
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.
Where to find buyers
Employee communications groups and change consultants
Lead magnet
Prepare responses to twenty submitted questions
The 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.
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.
Success metrics
Unanswered questions and unsupported claims
Retention and expansion
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.
Why clients would pick it
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.
Alternatives and positioning
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.
Main delivery costs
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.