Modeled scenario
Shows the arithmetic for a plausible process at a stated size. Inputs, residual human work, running costs, and a range should be visible.
Does not prove: that a system ran or that a client achieved the result.
We are early. This library contains working demos and modeled business cases, not a hidden roster of customer wins. Every card separates three different questions: did the system run, whose data did it run on, and was the financial outcome verified? A demo can prove that a workflow runs. It cannot prove that a client saved money.
These counts are generated from the published library. They update when an item’s evidence status changes.
A source can support an assumption. A test run can support a system claim. Only production measurement against an agreed baseline can support a client outcome.
Shows the arithmetic for a plausible process at a stated size. Inputs, residual human work, running costs, and a range should be visible.
Does not prove: that a system ran or that a client achieved the result.
Reports what a working build did under named test conditions, including data type, sample size, exceptions, and review workload.
Does not prove: production adoption, attribution, or financial savings.
Requires production use, a written baseline, a matched reporting period, source records, agreed adjustments, and client approval of the published result.
Can support: a measured client outcome, within the stated scope and period.
The signed scope is the measurement plan. It defines what counts, where the source data comes from, and which changes require an adjustment.
Name the process, cost lines, source systems, and period being measured. Costs outside that boundary do not enter the result.
Use exports, invoices, time records, or another agreed source. Show frequency, volume, loaded labor cost, error cost, tools, and existing review time.
State every assumption, deduct runtime and residual review, separate one-time cash release from recurring savings, and show a conservative range.
Log runs, exceptions, human interventions, failures, and relevant cost changes. A green dashboard is not enough.
Re-measure the same line items, then adjust for material changes such as order volume, staffing, wages, prices, or tool changes.
Do not count the same benefit twice. If verified savings are lower than projected, the fee is corrected under the signed agreement.
Our structure is informed by the Efficiency Valuation Organization’s IPMVP framework for measurement boundaries, before-and-after periods, and adjustments; the HM Treasury Green Book for separating appraisal from evaluation, exposing optimism bias, and testing assumptions; and the U.S. GAO Cost Estimating and Assessment Guide for documented inputs, source data, sensitivity analysis, and updating estimates with actual costs.
Those references support the measurement discipline, not the dollar figures in our scenarios. See.ke does not claim IPMVP adherence, certification, or government endorsement.
Demo-tested systems appear first. Open a card to inspect the inputs, limits, and available test evidence. A published benchmark supports only the assumption it actually measures, never the outcome by itself.
Early clients get priority build slots and direct access to the builder. In return, we ask for disciplined measurement and, only with written permission, an anonymized or named case study. Commercial terms do not depend on giving us a testimonial.
Inspect a sample Savings Audit20-minute fit check · no obligation · measured audit for qualified processes.