What leaders see
Work keeps moving, but only because people fill the gaps.
Teams rely on manual checks, side files, rekeying, status meetings, and individual knowledge to keep the process alive.
Legacy Modernization · Parallel Running
Prove the new system works before you switch. The scariest moment in any migration is the cutover. We eliminate that fear by running old and new systems in parallel with automated reconciliation -- you switch over only when the new system has proven it produces the same results as the old one.
01
The Problem
The problem is not one broken tool. It is an operating gap between who owns the work, which record can be trusted, and how exceptions move through the business.
What leaders see
Teams rely on manual checks, side files, rekeying, status meetings, and individual knowledge to keep the process alive.
What is actually happening
Records, rules, approvals, and handoffs are split across systems, so each step introduces delay or reconciliation.
What gets worse
The faster the business moves, the more bad data, exception work, and decision ambiguity compound across the operation.
02
What Changes
The scariest moment in any migration is the cutover. We eliminate that fear by running old and new systems in parallel with automated reconciliation -- you switch over only when the new system has proven it produces the same results as the old one.
Both systems process the same transactions simultaneously. Orders, invoices, inventory movements, and financial postings run through old and new in parallel.
Automated comparison of outputs -- order totals, inventory balances, financial summaries, and report data. Discrepancies flagged immediately for investigation.
Detailed reports on every discrepancy between old and new systems. Root cause analysis for each exception -- is it a bug, a data issue, or a business rule difference?
Predefined, measurable criteria for when to cut over -- reconciliation accuracy threshold, exception count, and processing time. No subjective judgment calls.
Option to transition user groups or business units incrementally. Start with a pilot group before cutting over the entire organization.
Legacy system remains fully operational throughout parallel running. If the new system isn't ready, you continue on legacy with no disruption.
03
How It Fits Your Operations
Related Foundations
Follow the dependencies behind this service instead of treating it as an isolated project.
Connect the records, applications, and ownership boundaries the workflow depends on.
Explore next stepGive automation and reporting a dependable source of operating truth.
Explore next stepEvaluate where governed AI can reduce repetitive work or improve a decision.
Explore next stepAssess readiness, dependencies, risk, architecture, and implementation order before engineering begins.
Explore next stepLaunchpad Before Engineering
Launchpad assesses the business and turns discovery into priorities, risks, readiness, architecture, and an implementation Roadmap. Metrotechs then engineers and supports the approved solution.
04
Delivery sequence
The scariest moment in any migration is the cutover. We eliminate that fear by running old and new systems in parallel with automated reconciliation -- you switch over only when.
Define which processes run in parallel, how long, and what success looks like. Identify the reconciliation points and acceptable variance thresholds.
Build automated reconciliation scripts that compare outputs between old and new systems. Define exception categories and escalation procedures.
Run both systems in parallel for the defined period. Monitor reconciliation results daily and investigate exceptions.
Diagnose and fix discrepancies -- configuration adjustments, data corrections, or code fixes in the new system.
When reconciliation meets the defined criteria, execute the cutover. Keep legacy in read-only mode for the defined safety period.
05
FAQ
Straight answers to what operators ask before committing budget to this work.
Typically 2-4 weeks for transactional processes and one full month-end close cycle for financial processes. The duration depends on transaction volume and complexity -- you need enough data to be statistically confident.