
Financial close dependency navigator
Explain why a close task is blocked and by whom.
- For
- Controllers managing distributed close teams
- Solves
- Close tasks stall because upstream dependencies are undocumented.
- Delivers
- Close dependency register
- Built in
- about 5 weeks of creation time, MVP in 6 days
- Investment
- $13,000 for the MVP, $44,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
For controllers managing distributed close teams, turn close checklists and team status exports into close dependency register.
- Parse task dependencies.
- Identify missing inputs.
- Detect circular handoffs.
- Suggest owner questions.
- Track approved resolutions.
- Export close status.
What goes in, what comes out
- Close checklists
- Team status exports
AI drafts, people review. Operational coordination portal.
- Close dependency register
How it works
The workflow
- InStart with
Close checklists and team status exports
- 1
The buyer creates a project
- 2
Supplies close checklists and team status exports
- 3
Confirms scope and access
- OutFinish with
Close dependency register
AI does the heavy lifting, people stay in charge
Infer candidate dependencies for controller approval. 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: Close calendar, Dependency map, Blocker queue. Use a queue or timeline as the opening view, with clear owners, dates and current states. Each case opens into its source context, proposed actions and discussion. Give external participants a limited form or status page. Make the next required action visible without opening every record. Open with close calendar; move into dependency map for the detailed task; finish in blocker queue for review and handoff. Show the source record, uncertainty and approval status beside each proposed output.
Accounts and administration
Role permissions, task ownership, deadlines, reminders, approval gates, exception handling, action history, duplicate prevention and reversible configuration. 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
Accounting exports, invoice records and finance review processes. Calendars, email, task managers and relevant business records. Use draft actions and supervised handoffs first, then enable only specifically authorized writes. Begin with uploads and exports of close checklists and team status exports. 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
6 daysOne buyer segment, one recurring use case; first modules: parse task dependencies; identify missing inputs. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
7 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-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 controllers managing distributed close teams use it to solve "close tasks stall because upstream dependencies are undocumented"?
- 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 blocked hours and late upstream deliverables. Then expand, change course or stop, with evidence instead of opinions.
MVP scope for this solution. Costed pilot: One entity with manual status imports. Start with one buyer organization and a bounded set of representative inputs. Implement the first two modules: parse task dependencies; identify missing inputs. Support the third task through an assisted review queue: detect circular handoffs. Handle the remaining required functions manually until validated. Include input upload, source references, user correction, a reviewer approval step and export of close dependency 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 close dependency register, automate suggest owner questions; track approved resolutions; export close status. 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. One entity with manual status imports.
What the build depends on. Explicit state definitions, owner mapping, approval rules, idempotent actions, notifications and recovery procedures. Workflow reliability matters more than fluent text. Obtain representative authorized inputs, an agreed review rubric and a buyer-side owner. Specific scope: One entity with manual status imports.
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: parse task dependencies; identify missing inputs. 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$44,000about 5 weeks of creation time · start with the MVP from $13,000
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 | $50–$100 | $40–$90 | $90–$190 |
| Full productabout 50 customers | $190–$380 | $280–$560 | $470–$940 |
Run it or resell it
For your own team
Controllers managing distributed close teams run it inside the business: close checklists and team status exports in, close dependency 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
#569127 - accent
#a454c9 - surface
#eaf1e4 - ink
#22201e
- Headings
- Playfair Display
- Text
- Source Sans 3
- Voice
- Exact, sober, trustworthy
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 750-2,500 setup plus USD 200-800 monthly for one bounded workflow and team. Cap case volume and implementation scope. Larger operational integrations need separate quotes. Prices are hypotheses. For this buyer, package the first sale around map one monthly close and the defined close dependency 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 why a close task is blocked and by whom. Demonstrate the result with map one monthly close for controllers managing distributed close teams. Use a concrete before-and-after example without promising unmeasured savings.
Where to find buyers
Controller forums and finance transformation consultants
Lead magnet
Map one monthly close
The first 30 days
- Week 1: interview five prospective buyers from controllers managing distributed close teams and inspect how they handle close tasks stall because upstream dependencies are undocumented.
- Week 2: prepare map one monthly close using authorized or synthetic material.
- Week 3: share the demonstration through controller forums and finance transformation consultants and seek one bounded paid pilot.
- Week 4: measure blocked hours and late upstream deliverables, 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 map one monthly close and deliver close dependency register. Compare blocked hours and late upstream deliverables 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
Blocked hours and late upstream deliverables
Retention and expansion
Build repeat use around close dependency register. Save approved configurations and review decisions with permission, revisit unresolved exceptions and show progress on blocked hours and late upstream deliverables. 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
Customer-specific workflow rules, reliable handoffs, operational history and integrations that make the service part of daily work. For this concept, accumulate permissioned examples and reviewer corrections around explain why a close task is blocked and by whom. The durable asset is reliable task-specific execution and trusted customer configuration, not access to a general-purpose AI model.
Alternatives and positioning
Shared inboxes, spreadsheets, task boards and existing workflow automation products. Position this concept around explain why a close task is blocked and by whom. 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
Workflow configuration, integration maintenance, model calls, notification delivery, exception support and monitoring. Initial validation additionally budgets for finance process workshops. Track model usage, storage, reviewer minutes, exception handling and customer support per accepted deliverable.
Safeguards
Reconcile calculations to approved records. Keep proposed entries and payment actions under finance-team control. Never invent missing financial inputs. One entity with manual status imports. Require appropriate access and publication approval. Preserve source material, label AI drafts and make corrections traceable. Measure false positives and missed cases alongside speed.