We assess before we commit, replace the system in phases you approve, and hand over code, infrastructure and accounts you own outright.
Tell us what you are running today. We reply with scope, duration and the deliverables you keep.
Under NDA on request. No obligation to continue after the assessment.
Modernization is rarely triggered by ambition. It is triggered by a system that has started charging interest — in downtime, in engineering hours, in the orders that quietly go missing.
Deployment takes days of preparation and repeated simulation runs. Change becomes something to avoid.
Years of amendments have left code no one wants to touch. Every estimate carries a premium for the unknown.
Imports held together by scheduled SQL jobs. When one fails, orders go missing until a customer calls.
Licences, servers, patching and firefighting consume budget that should fund new capability.
Separate databases behind the desktop and web applications, held together by a sync nobody fully trusts.
The engineers who understand the system are leaving — and onboarding anyone new takes months.
Modernization should resolve these constraints without introducing unnecessary migration risk.
A full rewrite is not always right, and lifting a system unchanged into the cloud rarely fixes what is wrong with it. We pick per workload, and we tell you when the cheaper path is the better one.
The right approach is usually a staged combination — not a single modernisation pattern applied everywhere.
On DiSellCo we put both options on the table — patch the failing parts, or rebuild into one system. The client chose the rebuild because the duplicate databases were the root cause, not a symptom. That conversation belongs at the start, not after the contract.
Two to four weeks, priced up front. Our engineers go through the codebase, the data model, the integrations and the deployment path, then hand you a plan you can take to the board — or to another vendor.
You keep every deliverable whether or not we build the thing. That is the point: it turns a multi-year decision into a small, reversible one.
Request a modernization assessmentThe old system keeps running until the new one has earned the traffic. Nothing is decommissioned on faith.
Codebase, data model, integrations and deployment path reviewed. Recommended path agreed before any build.
Target architecture, environments, pipelines and a single data model stood up. Nothing switches yet.
New services run alongside the legacy system on real data until the numbers match.
Traffic and functions move across in slices you approve, each with a documented rollback.
The old system is retired only against agreed criteria — after handover, documentation and a clean audit.
A legacy order, delivery, accounting and commission platform — a warehouse desktop application with its own database, a web application with another, and nightly SQL jobs trying to hold the two together.
Legacy constraint
The architecture had drifted over years of change requests. Import jobs failed silently and orders disappeared with them. Genealogy reports crawled because the relational model was never shaped for hierarchy. Preparing a release took about a week of simulated runs.
modernization intervention
We rebuilt it as one web platform on Azure — microservices, a single data model, a graph database for hierarchy, real-time APIs in place of the jobs, and automated deployments through Azure Kubernetes Service. The desktop application is gone, and the platform now onboards new customers as a SaaS product.
Also modernized
A Canadian fire-safety company needed one platform serving many customers with strictly separated data — delivered as multi-tenant SaaS covering compliance, incident reporting and real-time notifications.
User management, field verification, payroll and invoicing ran across disconnected tools with no single view of a representative. Consolidated into one portal with six role types and built-in voice, text and video.
The sequence above says when things move. These say what protects the business while they do — dependency discovery, rollback protection and operational readiness.
Duplicate records are reconciled into a single model before anything moves. Where hierarchy or graph relationships are the bottleneck, we change the storage technology rather than tuning around it.
Scheduled imports become APIs with retries, monitoring and alerting, so a failure surfaces immediately instead of at month end.
Old and new run in parallel on live data, with record counts and financial totals compared daily until you are satisfied they agree.
The commercial and operational commitments a CIO needs on record before a modernization programme starts.
We take on maintenance of the legacy application during the programme so your team is not running two jobs at once.
Source, infrastructure-as-code, pipelines and documentation live in your repositories under your cloud accounts from day one.
Runbooks, architecture decision records and walkthrough sessions are scheduled work, not a favour at the end.
Workloads and data stay in the regions your policy requires, including Canadian and US regions, throughout migration.
A Toronto presence for contracting, procurement and stakeholder collaboration alongside offshore delivery capacity.
Thirty days notice with a fully overlapped handover. Nothing about the architecture is designed to keep you here.
Ownership sits where you want it — from your architects leading with our engineers underneath, to Orion accountable for the whole cutover.
Our engineers work under your architects and delivery process, adding capacity where the modernization is already scoped.
A standing team with an Orion delivery lead working to your roadmap, with governance and reporting agreed up front.
A defined slice — one module, one integration layer, one platform migration — delivered to an agreed scope and date.
Not sure which model fits? We recommend one after the assessment.
Downtime, data, cost and what happens to the people who know the old system.
No. The legacy system stays live throughout. New services run in parallel on real data, functions move across in slices you approve, and each slice has a documented rollback. The old system is only decommissioned against criteria you have agreed.
Old and new run side by side and are reconciled daily — record counts, financial totals and key business figures compared until they agree. Reconciliation reports are yours to keep and to show an auditor.
It depends on whether the failures are symptoms or the structure. On DiSellCo the split databases were causing the failures, so patching individual modules would have been exactly that — patchwork. Where the design is sound, refactoring in place is cheaper and safer, and we will say so.
They usually become the most valuable people in the programme. We take on legacy maintenance so they can spend their time on domain knowledge transfer, validation and acceptance rather than firefighting.
You do, from day one. Source code, infrastructure-as-code, pipelines, runbooks and documentation live in your repositories under your cloud accounts. We never hold the keys to your production environment.
In the regions your policy requires — Canadian, US, EU or elsewhere. Residency is fixed at architecture stage, before any data moves, and it applies to non-production environments too.
The assessment is fixed scope and fixed price. Delivery is then either time and materials against an agreed roadmap, or fixed price per phase where the boundary is clear. We do not price a multi-year programme as a single number before the assessment exists.
That is a legitimate outcome and it happens. You keep the dependency map, risk register, target architecture and phased plan, and you are free to run the work internally or take it to another vendor.
Tell us what you are running and what is forcing the decision. We will come back with scope, duration and the deliverables you keep either way.
Example assessment
Delivering innovative software & AI solutions that empower businesses to thrive in an ever-changing world.
Company
Hire Developers
Products
© 2026 Orion eSolutions. All Rights Reserved.
Ex-McKinsey & a
seasoned IT entrepreneur
