Assumption-driven project plan and cost workspace

For

Agencies, consultancies and internal product teams scoping custom software work

Solves

Brief project descriptions become inconsistent plans, cost estimates and timelines that change silently as details shift.

Delivers

Reviewed project plan with cost estimates, timelines and named-owner approval

Built in

about 4 weeks of creation time, MVP in 4 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce rework in project scoping while keeping every estimate traceable to its assumptions.

1. Generate a structured project plan from a brief description.
2. Estimate project costs from input parameters and historical data.
3. Produce a timeline or schedule for the project.
4. List essential features and their dependencies.
5. Outline sitemap and user flows.
6. Draft user stories and suggest sprint milestones.
7. Apply customizable templates by project type.
8. Update estimates and plans as project details change.
9. Generate reports and visual aids for planning.
10. Connect with accounting and project management tools.
11. Produce professional quotes quickly.
12. Suggest team configurations and cost structures.
13. Show cost breakdowns with taxes and profit margins.
14. Export estimates and quotes in common formats.
15. Break high-level goals into actionable tasks.
16. Sync tasks and deadlines with a calendar.
17. Update plans when priorities or dates change.
18. Track task completion indicators.
19. Compare the reviewed result with the recorded baseline and value assumptions.
20. Capture corrections and named-owner approval before consequential use.
21. Export a versioned reviewed project plan with cost estimates, timelines and named-owner approval with source references and unresolved questions.

Everything these tools do, in one app

• Project plan generation Creates a structured project plan from a brief description.Found in CostGPT AI
• Cost estimation Estimates project costs based on input parameters and data.Found in CostGPT AI, CostGPT.ai, EstimateAI and 1 more
• Timeline generation Produces a timeline or schedule for the project.Found in CostGPT AI, EstimateAI
• Feature breakdown Lists essential features and dependencies for development.Found in CostGPT AI
• Sitemap and user flow Outlines product structure and user journeys.Found in CostGPT AI
• User stories and milestones Creates user stories and suggests sprint plans.Found in CostGPT AI
• Customizable templates Provides templates that can be tailored to different project types.Found in CostGPT.ai, EstimateAI
• Real-time updates Adjusts estimates and plans as project details change.Found in CostGPT.ai, EstimateAI
• Reporting and visualizations Generates detailed reports and visual aids for planning.Found in CostGPT.ai, EstimateAI
• Integration with other tools Connects with accounting or project management software.Found in CostGPT.ai, EstimateAI
• Quote generation Produces professional quotes quickly.Found in Quoai
• AI recommendations Suggests optimal team configurations and cost structures.Found in Quoai
• Cost breakdown Shows detailed breakdowns of costs, taxes, and profit margins.Found in Quoai
• Export options Allows exporting estimates or quotes in various formats.Found in Quoai, EstimateAI
• Goal decomposition Breaks down high-level goals into actionable tasks.Found in Plander.ai
• Calendar integration Syncs tasks and deadlines with a calendar.Found in Plander.ai
• Adaptive planning Updates plans when priorities or dates change.Found in Plander.ai
• Progress tracking Provides indicators to track task completion.Found in Plander.ai

What goes in, what comes out

The workflow

1. In
   Start with

   Brief project description, rate cards, team constraints and historical delivery data

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect a brief project description

4. 3

   Rate cards

5. 4

   Team constraints and historical delivery data

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed project plan with cost estimates, timelines and named-owner approval

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed rate card and delivery model; final pricing and contractual commitments remain commercial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Brief intake and assumptions, Editable plan and estimate workspace, Client quote and delivery. Use a thumbnail gallery for projects, a large central planning canvas, and a right-hand panel for assumptions, rate cards and comments. Let users compare plan versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant line item. Make the task-specific outcome reviewed project plan with cost estimates, timelines and named-owner approval visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, assumption versions, client comments, approval states, usage allowances, revision limits, export history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Buyer-owned briefs, authorized rate cards and permitted historical delivery data. Accounting, project management and calendar tools. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

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. 1

   Scoping call

   Day 1

   Thirty 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. 2

   MVP

   4 days

   One buyer segment, one recurring use case; first modules: generate a structured project plan from a brief description; estimate project costs from input parameters and historical data. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   5 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   10 days

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We 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.

1. Pick the riskiest assumption. Here: will agencies, consultancies and internal product teams scoping custom software work use it to solve "brief project descriptions become inconsistent plans, cost estimates and timelines that change silently as details shift"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted plans per scoping hour and estimate variance after delivery.
4. Measure, then decide. Track accepted plans per scoping hour and estimate variance after delivery; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed rate card and delivery model; final pricing and contractual commitments remain commercial. Implement one approved input format, a bounded representative case set and the first two task modules: generate a structured project plan from a brief description; estimate project costs from input parameters and historical data. Support the third module with operator review: produce a timeline or schedule for the project. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewed project plan with cost estimates, timelines and named-owner approval. Retain the explicit scope boundary: One fixed rate card and delivery model; final pricing and contractual commitments remain commercial.

What the build depends on. Brief upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity planning requires commercial review. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed rate card and delivery model; final pricing and contractual commitments remain commercial.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

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.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined planning package. Offer a monthly planning allowance after repeat demand. Quote complex multi-team or regulated scoping separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed project plan with cost estimates, timelines and named-owner approval. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce rework in project scoping while keeping every estimate traceable to its assumptions. Demonstrate a concrete reviewed project plan with cost estimates, timelines and named-owner approval using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Agencies, consultancies and internal product teams scoping custom software work professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed project plan with cost estimates, timelines and named-owner approval from a small authorized input set, with a transparent calculation of accepted plans per scoping hour and estimate variance after delivery and no promised savings.

The first 30 days

1. Week 1: interview five agencies, consultancies and internal product teams scoping custom software work and inspect a recent example of brief project descriptions become inconsistent plans, cost estimates and timelines that change silently as details shift.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted plans per scoping hour and estimate variance after delivery, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted plans per scoping hour and estimate variance after delivery. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted plans per scoping hour and estimate variance after delivery; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed project plan with cost estimates, timelines and named-owner approval. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved templates, rate structures and review examples, together with reliable delivery for a narrow planning niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for agencies, consultancies and internal product teams scoping custom software work. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

CostGPT AI, CostGPT.ai, EstimateAI, Quoai and Plander.ai, plus spreadsheets and manual scoping. Compare this product with the buyer's present method on accepted plans per scoping hour and estimate variance after delivery. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, storage, reviewer hours, client revision rounds and licensed source data. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of reviewed project plan with cost estimates, timelines and named-owner approval. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve commercial confidentiality, source attribution, rate accuracy and usage permissions. Named owners approve substantive plan changes and external commitments. One fixed rate card and delivery model; final pricing and contractual commitments remain commercial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.