
Project scope boundary monitor
Explain scope questions using the signed project baseline.
- For
- Agency project managers
- Solves
- Small requests accumulate beyond the approved project scope.
- Delivers
- Reviewed scope change register
- Built in
- about 3 weeks of creation time, MVP in 3 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
What it does
For agency project managers, turn approved scopes and authorized change requests into reviewed scope change register.
- Extract included deliverables.
- Classify new requests.
- Flag ambiguous boundaries.
- Draft clarification notes.
- Track approved changes.
- Export scope history.
What goes in, what comes out
- Approved scopes
- Authorized change requests
AI drafts, people review. Watchlist, change detection and briefing subscription.
- Reviewed scope change register
How it works
The workflow
- InStart with
Approved scopes and authorized change requests
- 1
The buyer creates a project
- 2
Supplies approved scopes and authorized change requests
- 3
Confirms scope and access
- OutFinish with
Reviewed scope change register
AI does the heavy lifting, people stay in charge
Suggest scope relationships with exact references. 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: Scope baseline, Request comparison, Client review. Use a watchlist with source health and last-checked dates, a chronological change feed, and a reviewable briefing editor. Display original evidence beside each alert. Let users mute irrelevant topics and record whether a change led to action. Open with scope baseline; move into request comparison for the detailed task; finish in client review for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Accounts and administration
Watchlist ownership, source health, dated evidence, deduplication, topic filters, editorial review, delivery preferences and alert feedback. 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
Team updates, calendars, project records and agreed management routines. Permitted feeds, published document sources, email digests and internal briefing channels. Verify collection rights and source reliability before selling coverage commitments. Begin with uploads and exports of approved scopes and authorized change requests. 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
3 daysOne buyer segment, one recurring use case; first modules: extract included deliverables; classify new requests. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
4 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
6 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 agency project managers use it to solve "small requests accumulate beyond the approved project scope"?
- 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 unpriced scope changes and clarification time. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Costed pilot: No automatic client billing or contractual rulings. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: extract included deliverables; classify new requests. Support the third task through an assisted review queue: flag ambiguous boundaries. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of reviewed scope change 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 scope change register, automate draft clarification notes; track approved changes; export scope history. 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. No automatic client billing or contractual rulings.
What the build depends on. Reliable permitted source access, change history, publication dates, deduplication and editorial QA. Coverage limits and inaccessible sources must be visible. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: No automatic client billing or contractual rulings.
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: extract included deliverables; classify new requests. 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$41,000about 3 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.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $50–$100 | $80–$160 |
| Full productabout 50 customers | $110–$210 | $350–$700 | $460–$910 |
Run it or resell it
For your own team
Agency project managers run it inside the business: approved scopes and authorized change requests in, reviewed scope change register 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
#273391 - accent
#c9a854 - surface
#e4e6f1 - ink
#22201e
- Headings
- Sora
- Text
- Work Sans
- Voice
- Practical, organised, candid
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 100-500 monthly for a narrow shared briefing, or USD 750-2,500 monthly for bespoke analyst coverage. Licensed source access and unusual collection requirements are extra. Prices require validation. For this buyer, package the first sale around review twenty project requests and the defined reviewed scope change register. Record actual review effort before offering a recurring allowance. The commercial pilot fee is distinct from the platform development budget.
Message to test
Explain scope questions using the signed project baseline. Demonstrate the result with review twenty project requests for agency project managers. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Agency operations groups and project management coaches
Lead magnet
Review twenty project requests
The first 30 days
- Week 1: interview five prospective buyers from agency project managers and inspect how they handle small requests accumulate beyond the approved project scope.
- Week 2: prepare review twenty project requests using authorized or synthetic material.
- Week 3: share the demonstration through agency operations groups and project management coaches and seek one bounded paid pilot.
- Week 4: measure unpriced scope changes and clarification time, 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 review twenty project requests and deliver reviewed scope change register. Compare unpriced scope changes and clarification time 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
Unpriced scope changes and clarification time
Retention and expansion
Build repeat use around reviewed scope change register. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on unpriced scope changes and clarification time. 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 curated source network, historical change archive and buyer-specific relevance judgments within a narrow topic. For this concept, accumulate permissioned examples and reviewer corrections around explain scope questions using the signed project baseline. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Newsletters, search alerts, analysts and general media or website monitoring tools. Position this concept around explain scope questions using the signed project baseline. 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
Source licensing, collection reliability, change processing, analyst verification, missed-signal review and digest production. Initial validation additionally budgets for project manager review. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Confirm owners, decisions and commitments. Keep employee discussion notes access-controlled and avoid covert individual performance inference. No automatic client billing or contractual rulings. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.