Contract expansion usage economics lab
Offer growth only where documented customer needs justify it.
- For
- B2B account management teams
- Solves
- Expansion offers ignore whether customers receive value from existing usage.
- Delivers
- Buyer-reviewed expansion case
- Built in
- about 3 weeks of creation time, MVP in 3 days
- Investment
- $20,500 for the MVP, $50,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Offer growth only where documented customer needs justify it.
- Identify verified capacity constraints.
- Compare expansion scenarios.
- Calculate customer-side economics.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before consequential use.
- Export a versioned buyer-reviewed expansion case with source references and unresolved questions.
What goes in, what comes out
- Customer-authorized aggregate task outcomes
- Approved price rules
AI drafts, people review. Evidence-backed analysis and reporting workspace.
- Buyer-reviewed expansion case
How it works
The workflow
- InStart with
Customer-authorized aggregate task outcomes and approved price rules
- 1
Confirm the buyer's problem and scope
- 2
Collect customer-authorized aggregate task outcomes and approved price rules
- 3
Then follow this sequence: 1
- OutFinish with
Buyer-reviewed expansion case
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. No assumed willingness-to-pay from personal data; human review. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Data and definitions, Pattern investigation, Action and value review. Open with a compact overview and filters for the relevant period or segment. Let users drill from each theme or metric into underlying records. Keep source definitions and missing-data notes near the result. Use an action panel to assign investigations and record what was learned. Make the task-specific outcome buyer-reviewed expansion case visible beside its evidence, review state and value baseline.
Accounts and administration
Dataset permissions, field mappings, metric definitions, source drill-down, saved filters, reviewer annotations, recurring reports and action ownership. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.
Integrations and data access
Approved sales collateral, CRM records and product or pricing information. Read-only business data exports, reporting databases and task trackers. Reconcile source totals before scheduling recurring data refreshes. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
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: identify verified capacity constraints; compare expansion scenarios. 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
7 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 B2B account management teams use it to solve "expansion offers ignore whether customers receive value from existing usage"?
- 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 quality and outcome thresholds before the pilot using this measure: Incremental customer value and seller contribution minus delivery cost.
- Measure, then decide. Track incremental customer value and seller contribution minus delivery cost; 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: No assumed willingness-to-pay from personal data; human review. Implement one approved input format, a bounded representative case set and the first two task modules: identify verified capacity constraints; compare expansion scenarios. Support the third module with operator review: calculate customer-side economics. 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 buyer-reviewed expansion case. Retain the explicit scope boundary: No assumed willingness-to-pay from personal data; human review.
What the build depends on. Stable identifiers, consistent metric definitions, deterministic calculations, source lineage and representative review samples. Poor coverage must remain visible. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: No assumed willingness-to-pay from personal data; human review.
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: identify verified capacity constraints; compare expansion scenarios. 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$50,000about 3 weeks of creation time · start with the MVP from $20,500
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 | $80–$160 | $110–$220 |
| Full productabout 50 customers | $110–$210 | $880–$1,750 | $990–$1,960 |
Run it or resell it
For your own team
B2B account management teams run it inside the business: customer-authorized aggregate task outcomes and approved price rules in, buyer-reviewed expansion case 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
#91276c - accent
#54c99a - surface
#f1e4ec - ink
#22201e
- Headings
- DM Serif Display
- Text
- DM Sans
- Voice
- Direct, upbeat, outcome-focused
Selling it to your own clients: the go-to-market playbook
Pricing to test
Test USD 500-2,000 for an initial analysis of one bounded dataset. Offer USD 250-1,000 monthly for repeat reporting at agreed volume. Data cleanup and specialist analysis are separately priced. These are test ranges. Package the initial sale as one bounded buyer-reviewed expansion case. 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
Offer growth only where documented customer needs justify it. Demonstrate a concrete buyer-reviewed expansion case using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
B2B account management teams professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample buyer-reviewed expansion case from a small authorized input set, with a transparent calculation of incremental customer value and seller contribution minus delivery cost and no promised savings.
The first 30 days
- Week 1: interview five b2B account management teams and inspect a recent example of expansion offers ignore whether customers receive value from existing usage.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure incremental customer value and seller contribution minus delivery cost, 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: Incremental customer value and seller contribution minus delivery cost. 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
Incremental customer value and seller contribution minus delivery cost; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs buyer-reviewed expansion case. 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
Domain-specific definitions, trusted source mappings and a history connecting findings to actions and observed results. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for b2B account management teams. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
Analysts, business intelligence dashboards, spreadsheets and general text summarization tools. Compare this product with the buyer's present method on incremental customer value and seller contribution minus delivery cost. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Data preparation, reconciliation, classification, expert interpretation, customer-specific definitions and recurring reporting support. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of buyer-reviewed expansion case. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Keep product capabilities and commercial terms verified. Use authorized customer records and require review before outreach, promises or pricing exceptions. No assumed willingness-to-pay from personal data; human review. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.