War Story: How We Recovered a Stalled Build From Another Vendor
This is not a hypothetical. When PADISO took over a $1.2M platform build that was 14 months deep and still 90 days from anything shippable, the CEO told us, “If this doesn’t ship in 12 weeks, we’re selling the division.” Here’s exactly how we did it—and what every mid-market leader and private equity operating partner should know before another vendor burns a quarter of runway.
(If you’d rather skip straight to the playbook, here’s the table of contents.)
Table of Contents
- The Phone Call That Changed Everything
- The Autopsy: What Was Actually Broken?
- The Recovery Playbook: Our Step-by-Step Approach
- Technology Choices That Saved the Project
- The Human Factor: Leading Through a Technical Turnaround
- The Outcome: Shipping, Scaling, and EBITDA Impact
- Key Takeaways for PE Firms and Mid-Market Leaders
- When to Call in the Cavalry (And Why You Shouldn’t Wait)
- Summary and Next Steps
The Phone Call That Changed Everything
The email landed on a Thursday night. Subject: “Urgent – rescue needed.” A mid-market logistics platform in the Midwest had been trying to launch a customer-facing portal for 14 months. Their incumbent development shop—a regional agency with a good sales pitch but no real delivery muscle—had burned through $650K, missed three deadlines, and left them with a codebase that “worked” only on the lead developer’s laptop. The CEO, desperate and facing a board meeting in 90 days, called us on a referral from a private equity operating partner we’d worked with previously.
At PADISO, we specialize in exactly this kind of moment. Our CTO as a Service engagement model is built for executives who need a trusted technical leader to step in, diagnose, and execute—fast. We don’t just write code; we untangle people, process, and architecture. In this war story, I’ll walk you through the recovery playbook we used, the technology choices that made it possible, and the hard-won lessons every mid-market company and PE firm should internalize before signing another Statement of Work.
The Autopsy: What Was Actually Broken?
Before we touched a single line of code, we spent six full days in forensic mode. Here’s what we found.
The Codebase: A House of Cards
The repository was 180,000 lines of JavaScript, with no TypeScript, no tests, and a comment-to-code ratio that would make a 1990s sysadmin blush. Dependencies were pinned to random fork URLs that pointed to personal GitHub accounts. Build scripts were a tangle of Gulp, Webpack 2, and a handwritten bash file that nobody understood. Recovery of build systems is a specialized discipline—researchers have even proposed reverse-engineering frameworks for exactly this scenario—but here, the team had no source of truth. The environment wasn’t just broken; it was hostile.
We applied a brutal triage: isolate the assets into a clean, version-controlled repository and verify that no tampering had occurred. Only then could we begin to trace dependencies.
The Architecture: Monolith on Fire
The application was a single Node.js monolith that tried to handle authentication, real-time tracking, PDF generation, and payment processing all in one process. No separation of concerns, no queues, no caching. Any spike in load would crash the event loop. The database was a poorly indexed MongoDB that had grown to 700GB with no sharding strategy.
The Team: Morale and Churn
Half the development team had quit in the previous two months. The remaining engineers were defensive and burned out. They had been pressured to “just get it working” without any architectural discussion, leading to a culture of heroic firefighting. We knew that any recovery effort would fail unless we addressed the human element alongside the technical one.
The Recovery Playbook: Our Step-by-Step Approach
With the autopsy complete, we laid out a 12-week rescue plan. Here is the playbook we executed—the same one we use today for any Venture Architecture & Transformation engagement where a project has gone off the rails.
flowchart TD
A[Inherit Stalled Build] --> B[Freeze Scope & Audit]
B --> C{Showstopper issues?}
C -->|Yes| D[Stabilize Core (hotfix)]
C -->|No| E[Prioritize Backlog]
D --> E
E --> F[Introduce CI/CD & Observability]
F --> G[Gradually Replace Legacy (Strangler Fig)]
G --> H[Rebuild Team Trust & Demos]
H --> I[Ship MVP, Iterate]Figure: The PADISO recovery playbook—a disciplined, repeatable sequence we apply to every stalled build.
Freeze, Audit, Prioritize
The first commandment of software recovery is freeze all new feature work. No new buttons. No new dashboards. No new integrations. We immediately halted all development except for critical bug fixes.
We then conducted a ruthless audit of the existing backlog. Of the 460 open user stories, only 18 were genuinely required for a viable first release. We redefined the MVP as a set of core workflows that the business absolutely needed to go live. Everything else was moved to a “post-launch” bucket.
Stabilize the Core, Strangle the Rest
For the core workflows, we applied the Strangler Fig pattern—incrementally replacing monolithic components with clean, containerized microservices. The first extraction was the authentication module. Within three weeks, we had it running as an independent service on Google Cloud Run, with a proper token-based session store. That alone improved reliability of the entire application by an order of magnitude.
We used the same approach for the payment and PDF generation modules, each time writing exhaustive integration tests before making the cutover. The old code remained in place until the new service was proven in production.
Introduce CI/CD and Observability from Day Zero
The original team had been deploying by SSHing into a single server and running git pull. No build pipeline, no staging environment, no monitoring. On day one of our engagement, we set up a GitHub Actions pipeline that built, tested, and deployed to a newly provisioned Google Cloud staging environment. Every push to main triggered a deployment to staging; a manual approval gate allowed promotion to production.
We instrumented the entire stack with OpenTelemetry, shipping traces, metrics, and logs to Datadog. For the first time, the team could see exactly what was happening in production—latency spikes, error rates, resource utilization. This transparency was critical for both technical decision-making and stakeholder confidence.
Rebuild Trust: Daily Demos and a Transparent Roadmap
Perhaps the most important change was cultural. Instead of monthly status updates full of vague percentages, we instituted a 15-minute daily standup with the CEO and key stakeholders, followed by a live demo of whatever had been deployed to staging. We shared a public-facing Roadmap (built in Notion) that showed exactly what was in progress, what was blocked, and what was coming next.
This practice, inspired by the TEACH principles of recovery (timely, efficient, autonomous, push-button), rebuilt trust quickly. Within two weeks, the CEO went from “I don’t believe we’ll ever ship” to “I can see the product getting better every day.”
Technology Choices That Saved the Project
Getting a stalled build back on track requires more than process; it requires ruthless pragmatism about technology.
Cloud-Native by Default: AWS, Azure, or Google Cloud?
The original system was hosted on a single dedicated server from a second-tier provider. We migrated everything to Google Cloud, taking advantage of managed services to reduce operational burden. For this engagement, Google Cloud’s serverless offerings (Cloud Run, Cloud Tasks, Cloud Build) were a perfect fit because they let us focus on application code rather than infrastructure.
Of course, every engagement is different. PADISO is deliberately multi-cloud; we have deep expertise in AWS, Azure, and Google Cloud. For PE roll-ups that span multiple portfolio companies, a consistent hyperscaler strategy can unlock significant cost savings and operational efficiency.
AI-Assisted Remediation Without Losing Control
The sheer volume of cleanup—thousands of lines of undocumented code, configuration drift, sprawling logging statements—was a perfect use case for modern AI tooling. We used Claude Sonnet 4.6 and Opus 4.8 to assist with:
- Generating TypeScript type definitions from untyped JavaScript
- Writing missing unit tests in critical paths
- Documenting legacy modules
- Suggesting refactoring opportunities
But we were cautious. Every AI-generated change was reviewed by a senior engineer. We didn’t let the models make architectural decisions. The key was to treat AI as a force multiplier for mundane tasks, freeing up our human talent to focus on high-leverage design choices. This approach is central to our AI & Agents Automation practice—pragmatic AI that ships, not slideware.
Platform Engineering for Repeatability
By week six, we had stood up a proper internal developer platform. Developers could spin up an isolated preview environment with a single command, thanks to Google Cloud’s Cloud Run and a set of Terraform modules we maintain at PADISO. This platformization meant that new team members could be productive on day one—a critical capability when you’re trying to accelerate a recovery.
For companies considering a similar transformation, our platform engineering practice delivers exactly this: repeatable, secure, cost-optimized infrastructure that turns cloud from a cost center into a competitive advantage.
The Human Factor: Leading Through a Technical Turnaround
You can have the best tech stack in the world, but a recovery lives or dies on leadership. When we walked in, the remaining engineers were suspicious. They expected another consulting firm to come in, blame them, and outsource their jobs. Instead, our fractional CTO—Kevin Kasaei, PADISO’s founder—sat down with each engineer, one on one, and asked: “What would you build if you could start over?”
That simple question unlocked a flood of good ideas that the old processes had suppressed. We promoted the most capable engineer to tech lead, gave her clear ownership, and made her the face of the project to the CEO. Morale turned around within two weeks. The same team that had been struggling to ship for 14 months began delivering production-ready features every sprint.
This is the essence of fractional CTO leadership. It’s not just about technology—it’s about creating the conditions where technical teams can do their best work.
The Outcome: Shipping, Scaling, and EBITDA Impact
Twelve weeks after we took over, the MVP shipped. It wasn’t perfect—no MVP is—but it handled the core workflows: booking, tracking, and invoice generation. Over the next six months, we iterated rapidly, adding features based on real customer feedback. The platform now processes over $40 million in annual transactions and contributes a healthy margin to the parent company’s EBITDA.
For the private equity firm that owned the asset, the turnaround was tangible. They had been considering a fire sale of the division. Instead, they retained PADISO on a long-term CTO as a Service retainer to oversee the technology strategy across three additional portfolio companies. Today, we’re applying the same playbook to drive AI transformation across their portfolio, consolidating tech stacks and unlocking EBITDA improvements that directly impact their valuation multiple.
We’ve published case studies on this and other recoveries on our case studies page—but the underlying pattern is consistent.
Key Takeaways for PE Firms and Mid-Market Leaders
If you’re staring down a stalled build—or you’re a PE operating partner evaluating a potential roll-up with legacy tech—here’s what to remember:
-
The sunk cost fallacy kills. The money already spent is gone. The only question is whether what you have today is salvageable. In most cases, the answer is yes—but only if you change the execution model.
-
Technical due diligence matters. Before acquiring a company, have someone who knows what they’re doing look under the hood. PADISO’s venture architecture practice specializes in pre-acquisition technology assessments that uncover exactly these kinds of risks.
-
Recovery has a playbook. It’s not voodoo. Freeze, audit, prioritize, stabilize, re-platform, ship. Repeat. The external resources we’ve linked throughout this post—from Google’s guide on secure software recovery to detailed IT disaster recovery planning—exist because this pattern works.
-
Human leadership is the multiplier. Technology is the easy part. Rebuilding a team that has been burned by a failed project is the hard part. That’s where an experienced fractional CTO earns their fee.
-
Ongoing compliance is non-negotiable. If your recovery involves handling customer data, you need to be audit-ready from day one. Our Security Audit service gets you SOC 2 and ISO 27001 ready in weeks, not months, using the Vanta platform—critical for enterprise deals that won’t sign without a clean security posture.
When to Call in the Cavalry (And Why You Shouldn’t Wait)
The CEO in our war story waited 14 months before making the call. He later admitted that he knew things were off-track by month three, but he kept hoping the vendor would turn it around. That delay cost him north of $400K in additional spend and, more importantly, a full year of market opportunity.
If you have any of these symptoms, act now:
- Milestones slip by more than two consecutive sprints
- The team can’t demonstrate working software every two weeks
- Code quality is declining (more bugs in old features)
- The person who understands the architecture just left
PADISO’s engagement model is designed to parachute in and stabilize rapidly. Our fractional CTO engagements start at a sprint zero—a fixed-scope diagnostic—so you get a clear picture of the situation before committing to a full recovery. For PE firms managing multiple assets, we offer a portfolio-wide technology diagnostic that identifies consolidation opportunities and AI transformation plays across the entire portfolio.
Summary and Next Steps
Recovering a stalled build is never just about writing better code. It’s about rebuilding process, trust, and architecture—simultaneously, under extreme time pressure. In this war story, we applied a battle-tested playbook: freeze, audit, prioritize, stabilize via Strangler Fig, introduce CI/CD and observability, and use AI as a force multiplier. The result was a shipped product in 12 weeks, a team that went from demoralized to high-performing, and a PE parent that unlocked genuine EBITDA value.
Whether you’re a mid-market CEO with a project that’s bleeding out, or a PE operating partner staring at a portfolio full of technical debt, the lesson is clear: recovery is possible, but it requires decisive action and a partner who has done it before.
At PADISO, we’ve helped over 50 businesses generate $100M+ in revenue through strategic technology leadership. Our approach blends deep cloud-native expertise with pragmatic AI and a fractional CTO model that aligns incentives and reduces risk.
Next steps:
- Get a diagnostic: Contact us for a sprint-zero assessment of your stalled project. We’ll deliver a three-week blueprint with a go/no-go recommendation.
- Explore our services: From CTO as a Service to AI & Agents Automation and platform engineering, we bring the seniority you need without the big-firm overhead.
- Read our case studies: See how we’ve turned around other projects.
- Talk to us: If you’re ready to move, drop us a line. The sooner you call, the less you lose.