How long should a CTRM implementation take, and why do legacy projects run 12 to 18 months?

By Saurabh Goyal, Founder & CEO of Phlo Systems. Published 28 June 2026.

Ask a mid-market commodity trader why they are still on spreadsheets and the answer is rarely "we like spreadsheets." It is "the last CTRM quote said eighteen months and half a million pounds before we traded a single lot on it." The timeline, more than the licence fee, is what kills these projects. So it is worth asking the question nobody selling a legacy CTRM wants asked: where do those eighteen months actually go?

The 30-second answer:

• A legacy CTRM runs 12 to 18 months because the cost sits in configuration and integration, not software, and that work is done by consultants on your data.
• The big time sinks are data migration, bespoke customisation, on-premise or hosted infrastructure, and a "big bang" go-live that cannot be staged.
• A cloud-native, multi-tenant platform removes most of that work by design: no infrastructure to stand up, configuration instead of custom code, and a modular go-live one desk at a time.
• Realistic modern benchmark: a usable first module live in weeks, full rollout in roughly four months, at a fraction of the total cost.

Where the 12 to 18 months actually go

Break a legacy implementation into its real phases and the pattern is always the same. Discovery and design (2 to 3 months) before anything is built. Infrastructure provisioning and environment setup (1 to 2 months) because the system is on-premise or single-tenant hosted. Data migration (2 to 4 months), usually the worst phase, mapping years of trades, contracts and counterparties into a rigid schema. Customisation (3 to 6 months) because the platform was built for the supermajors and your workflows do not fit the defaults. Then testing, training and a high-risk "big bang" cutover where everything goes live at once.

None of that is software development you are paying for. It is consultants reconciling a 20-year-old data model with how your desk actually trades.

Why the architecture, not the vendor, sets the clock

The timeline is downstream of three architectural decisions made long before you signed:

• On-premise / single-tenant hosting. Every customer gets their own environment to provision, patch and upgrade. That is weeks of work before a trader logs in, and it never ends.
• Customisation over configuration. When the core cannot flex, every difference between you and the reference customer becomes custom code that must be specified, built, tested and maintained forever.
• Monolithic go-live. If trading, risk, logistics and accounting are one tightly coupled block, you cannot ship one piece and prove it. You wait for all of it.

A cloud-native, multi-tenant platform inverts all three. The environment already exists. Differences are handled by configuration, not code. And a modular design lets you go live on one desk or one function, prove the value, then extend.

Legacy vs modern: what changes the timeline

Driver	Legacy CTRM	Modern cloud CTRM
Hosting	On-premise / single-tenant, provisioned per customer	Multi-tenant cloud, already running
Fit to your desk	Custom code per difference	Configuration on a flexible core
Data migration	Big upfront migration into a rigid schema	Phased, per-module, validated as you go
Go-live	Big bang, all modules at once	Modular, one desk or function at a time
First value	12 to 18 months	Weeks
Full rollout	18 months plus	~4 months
Who does the work	Your data, their consultants	Self-service configuration with support

How to test a vendor's timeline claim

Three questions cut through the sales deck. First: "Can we go live on one desk before we migrate everything?" If the answer is no, you are buying a big-bang project. Second: "Is each difference between us and your reference customer configuration or custom code?" Custom code is time and lock-in. Third: "What do we have to stand up before a trader logs in?" If the answer involves servers or a dedicated environment, add months.

Frequently Asked Questions

How long does a CTRM implementation really take?

Legacy on-premise CTRM projects average 12 to 18 months to full go-live. A modern cloud-native platform can put a usable first module in front of traders in weeks, with full rollout in roughly four months, because it removes infrastructure setup, replaces custom code with configuration, and allows a staged go-live.

Why are legacy CTRM implementations so expensive?

The cost is in configuration, integration, data migration and customisation done by consultants, not in the software licence itself. A rigid, single-tenant architecture forces bespoke work for every customer, which is why three-year total cost of ownership often runs many multiples of the headline licence.

Can you implement a CTRM in phases instead of all at once?

Yes, if the platform is modular. opsPhlo deploys one desk or function at a time, so you prove value on a small scope first and extend at your own pace, rather than betting the business on a single big-bang cutover.

What is a realistic go-live timeline for an SME commodity trader?

For a firm doing £10M to £500M of turnover, expect a first module live in weeks and a full rollout in around four months on a modern platform, versus 12 to 18 months on legacy software.

How Phlo Systems helps

opsPhlo is a modern, cloud-native CTRM and ERP for mid-market commodity traders. Because it is multi-tenant and configuration-driven, there is no infrastructure to provision and no custom code to maintain, so you go live on your first desk in weeks and complete a full rollout in roughly four months, at around 93% lower total cost than a legacy implementation. If you are weighing a CTRM project and have been quoted a multi-year timeline, book a 30-minute implementation-fit assessment with opsPhlo.

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Related reading:

• The true total cost of owning an ION Trading or ETRM system in 2026
• What is the difference between Commodity Management (CM) and CTRM?
• Why SME commodity traders deserve an integrated ERP + CTRM + Treasury system

Saurabh Goyal is the Founder & CEO of Phlo Systems. He has built CTRM and ERP systems for global commodity trading houses since 2008.