ERP implementation rescue

Your ERP rollout is in trouble. Start by finding out what actually went wrong.

Yes. Most struggling ERP implementations can be recovered, whether the project is still mid-flight or already live and a poor fit. The fix is not more change orders. It starts with a paid, independent read of what's salvageable, what isn't, and why.

Two ways this goes wrong

Most rescue calls come from one of two places.

They feel different inside the building. The first move is the same.

Mid-flight

The project is still running, and still slipping.

  • The go-live date keeps moving. The new one feels soft too.
  • Scope drifts, and every change becomes another invoice.
  • The old system still runs in parallel. Nobody trusts the new one.
  • The team has gone quiet.

Before you spend more, find out what can still be recovered.

Live, but wrong-fit

It went live, and it doesn't fit how you run.

  • The build is too rigid for the way the business actually works.
  • Custom code piled up. Now it gets in the way.
  • You can't upgrade. The customizations block it.
  • Workarounds have quietly become the real process.

The question is what to keep, what to rebuild, and what to take back to standard.

What you're really deciding

The real decision isn't fix or replace. It's what's worth saving.

Both situations ask the same question. What carries forward, and what costs more than it returns?

A slipping project can still be recovered. A bad fit rarely means starting over. The configurations, data, and custom work that still earn their keep should carry forward. The rest is where the money leaks.

After go-live, the bill often arrives as a version you can't upgrade. When a platform like Odoo gets customized past a clean upgrade, the fit problem and the version problem are one. We solve them together.

The diagnosis is written for you. It's an honest read on what's salvageable, not a change order for someone's backlog.

On ai

AI is everywhere. Useful is the harder problem.

Every platform ships AI now. Odoo agents, Acumatica copilots, IFS models built into the suite. Public tools like Claude and ChatGPT move the line every few months.

In a rollout that went wrong, AI is often part of the story. Scope sold as near-automatic. Features that demoed well and buckled in production. The questions are plain ones. What's secure with your data, what earns its cost, and what was just noise.

Part of the diagnosis sorts that out: what to keep, what was oversold, what to set aside until it's real. It continues through the rebuild and after go-live.

Peregrine, our AI platform, runs the inventory, maps integrations, and surfaces data problems before our team arrives. It speeds the work. The judgment about what to keep stays with our consultants.

Meet Peregrine, our AI platform

Tools make us faster. They don't make the call on what's worth keeping.

How we work

A rescue runs the same four stages. It just starts with a diagnosis.

Mid-flight or post-go-live, recovery follows one arc. It begins with the truth.

1
Analyze

Find what's broken, and what isn't.

Peregrine inventories the data, the integrations, and every customization before we arrive. Working sessions sort real failures from unfinished work. You get a plain current-state read and a salvage-vs-replace map.
2
Optimize

Keep what still earns its place.

A failed rollout still holds good work. Configurations that fit. Integrations that run. Process knowledge that's real. We protect those and rebuild only what's in the way. We flag which customizations survive your next upgrade and which block it, and we validate the data before it moves.
3
Automate

Rebuild for how you actually run.

We rebuild only the parts that have to change, against the plan from Optimize. Configuration, data migration, integrations, sized to the business. Where AI fits cleanly, we build it in. Where it was oversold, we leave it out. Changes stay visible, not buried in invoices.
4
Transition

Hand over a system your team can run.

Trained users, a rehearsed cutover, support through your first clean close. The parallel system finally goes dark. You keep documented processes and a team that can run the system without us. We don't disappear after go-live. Support and an escalation path continue.

The first step

Start with a paid diagnosis. The read is yours to keep.

Fixed fee, fixed scope, and fast, because the situation usually can't wait.

Senior consultants, on your floor, with a written read in days.

Working sessions with finance, operations, and IT, plus the people using the system every day. We watch where it breaks and where the workarounds live. Senior practitioners on the floor, not a slide deck.

The unspoken question in every rescue is the same: why won't you fail like the last partner? We answer it with method. Decision gates, a written risk register, and a defined point where we tell you to stop. Nobody is blamed in the document.

If a fractional CFO or CIO is running point, they stay in the lead and we work alongside them. The same caliber of team that runs the diagnosis delivers the recovery.

See the full methodology

What the diagnosis delivers

Current-state read

An honest picture of where the project stands, and why.

Salvage-vs-replace map

What stays, what gets rebuilt, what goes back to standard. Plus version sequencing where you're pinned.

Recovery plan and board-ready summary

Phased, with decision gates, a risk register, and a costed recovery picture. Defensible to a board, a parent company, or a PE sponsor.

Selected Client Work

FAQ

Common questions about ERP rescue and recovery.

Can a failing ERP implementation be saved, or do we have to start over?

Usually it can be saved. Most struggling implementations hold more worth keeping than it feels like right now. The diagnosis tells you what carries forward, what gets rebuilt, and what to retire.

Should we wait for AI before fixing this?

No. A failing or wrong-fit project won't improve while you wait. The diagnosis sorts out which AI features are worth keeping and which were oversold. Odoo, Acumatica, and IFS keep shipping AI; the recovery shouldn't wait on it.

We went live, but it doesn't fit how we run. Can it be fixed?

Yes. A live system that fits badly is a common rescue. We map where the build fights your operations, then rebuild only those parts. The pieces that fit stay. You don't restart from zero.

Our customizations are blocking our upgrade. Now what?

This is common with heavily customized Odoo. When custom modules block a clean upgrade, the fit problem and the version problem are one problem. The diagnosis produces a salvage-vs-revert map and a version-sequencing plan together. If an end-of-support date is the real pressure, our migration diagnosis may be the better place to start.

Can someone just assess the project and tell us what's wrong, without a sales pitch?

Yes. That's exactly what the diagnosis is: a paid, fixed-scope read with a written deliverable you keep. If the right answer is to finish on your current path, we say so in writing. It's useful even if you never hire us for the rebuild.

Should we replace our current implementation partner?

Get an independent read before you decide. The diagnosis tells you what's recoverable and what a sound recovery looks like. Sometimes the relationship can be repaired; sometimes a change makes sense. Either way you'll have a clear picture, not a guess.

What does a rescue diagnosis cost?

It's fixed-fee and fixed-scope, sized to the situation: how many entities and sites, how far the project has gone, how complex the integrations are. We agree the fee in the first conversation, before any work starts. No surprise change orders.

Start here

Tell us what went wrong.

Start with a conversation. No slides, no script. Tell us where the project stands, and we'll say whether a rescue diagnosis is the right next step. Sales takes the first call and brings in a senior consultant once the situation is clear. The read is yours to keep, and it holds up to a board, a parent company, or a PE sponsor.