Make the data dependable
Clean up the data model, polish Job Hours, define domain rules, add sanity checks, and provide light anomaly reporting.
Webisoft · Job Hours modernization
A phased 2027 roadmap from trustworthy Job Hours data to quoting intelligence, custom reporting, and ERP exchange.
Phase 1 can start as soon as budget is available.
/01 · Target operating model
Start, pause, and end work in a polished Job Hours flow with rules that prevent obvious time-entry errors at the source.
Review flagged anomalies in a focused queue, correct exceptions, and retain an audit trail instead of cleaning exports job by job.
Compare standard and actual history, review rolling averages by part, and price repeat work with context that another quoting person can use.
Open custom KPI views and export the monthly business review without rebuilding the report manually, while a replaceable connector exchanges orders and costs with the ERP.
/02 · Implementation phases
Clean up the data model, polish Job Hours, define domain rules, add sanity checks, and provide light anomaly reporting.
Compare actual to standard, calculate rolling part averages, and flag repeat work that needs pricing attention.
Create custom KPI views and one-click exports for the monthly business review and operational decisions.
Bring orders into Job Hours and return actual costs through a small connector that can be replaced if the ERP changes.
/03 · ERP Lite operating journey
The intent is not to replace Job Hours or imitate Sage. It is to show the custom layer Genette described: one traceable path from customer PO to shop work, reviewed cost, repeat-job quoting, and the monthly business review.
Customer PO to shop-ready job
For Spectron's ICP-MS cone and consumable business, the order enters with the customer, PO, part, revision, line, due date, and quantity. The manufacturing manager then defines the operations before machinists begin.
Illustrative routing from the walkthrough
Machinist interaction
The interface keeps the workflow Job Hours already supports. A machinist pulls the job, selects the operation, chooses setup, run, or programming, then starts, pauses, or ends the timer.
Supervisor exception queue
Part-level expectations and domain rules surface the records that need judgment. Approved corrections retain the reviewer, reason, original value, and corrected value.
Repeat-job quoting
Once time is trustworthy, quoting can compare actual and standard by job, show rolling averages by part, and explain machine, tooling, or operator differences.
Monthly business review and ERP return
Management gets a custom monthly view without rebuilding spreadsheets. The ERP receives reviewed actual costs, while the connector remains replaceable if Spectron moves beyond Sage 100.
/04 · Scope by phase
| Phase | Outcome | Included work |
|---|---|---|
| Phase 1 | Dependable Job Hours foundation | Data modelling cleanup, Job Hours polish, domain rules, data sanity checks, and light reporting that flags anomalies. |
| Phase 2 | Quoting from real history | Actual versus standard by job, rolling averages by part, quoting context, repeat-job margin flags, and team handover. |
| Phase 3 | Custom reporting on demand | Webisoft-built KPI views and one-click exports for monthly business reviews and operational decisions. |
| Phase 4 | Connected ERP | Orders into Job Hours and actual costs returned through a small, replaceable connector. |
/05 · Custom reporting
The reporting layer and connector remain separate by design. A later ERP change replaces the connector without discarding the reporting experience.
/06 · Delivery sequence
Review the code and data model, polish Job Hours, define domain rules, implement sanity checks, and add light anomaly reporting.
Compare planned and actual history, show rolling part averages, and flag jobs that need pricing attention.
Build Spectron-specific KPI views and one-click monthly business review outputs.
Connect the trusted operational layer through a small adapter that can change with the ERP.
/07 · Implementation assumptions
/08 · Commercial options
Offer 1 covers the complete four-phase scope. Offer 2 starts with the data foundation and can begin as soon as budget is available.
ERP contingency: approximately $3,000 is recommended as a planning allowance and is not included in the $25,000 phase total. It applies only if ERP access limitations or a platform change expands the connector work.
Data modelling cleanup, Job Hours polish, domain rules, data sanity checks, and light reporting that flags anomalies.
Engagement approval, access, and kickoff.
Data model cleanup and initial domain rules demonstrated for review.
Job Hours polish, sanity checks, and light anomaly reporting delivered.
Milestone basis: payments align to start, midpoint review, and completed Phase 1 outcomes.
Offer 1 · complete scope | Offer 2 · Phase 1 only
Next: select an offer, confirm budget availability, and provide access to the Job Hours code, database, and test environment.