Margin recovery & systemic risk diagnosis for SaaS
For SaaS companies that have reached product-market fit. We find what is driving delivery costs, recurring failures, and critical dependencies, then carry out the engineering.
Business consequences.Engineering causes.
We connect the two01 / Where we help
You don’t need to arrive with a technical diagnosis. Start with the cost of serving customers, the work holding back delivery, or a platform risk you need to understand.
Margin Recovery
Customer revenue is growing, but hosting, onboarding, and support leave too little margin. We trace the cost of serving customers and implement changes to the applications, infrastructure, or manual work behind it.
Platform Remediation
Recurring failures and fragile dependencies keep interrupting the roadmap. We investigate the causes and carry out structural work alongside the people responsible for delivery.
Systemic Risk Diagnosis
A key person is leaving, a sale is approaching, or an important system is poorly understood. We examine how architecture, dependencies, security exposure, and concentrated knowledge create connected risks, then identify what to address.
Preparing for buyer diligence? We can address technical exposure and prepare evidence of what has changed. Bring the timeline and the questions you need to answer
02 / Evidence from Aligned’s work
Published work from the Aligned practice behind Systemics.
Aligned changed the EHR platform architecture and automated clinic provisioning, reducing the work and cost of onboarding and supporting additional clinics.
Read the published case studyin reported annualized cost savings
reduction in incremental hosting
and operating cost
Results from this engagement, not a forecast for yours.
Aligned simplified AWS infrastructure, removed redundancy, and automated single- and multi-tenant customer onboarding alongside Responsive’s engineers.
See the engineeringAligned catalogued components, dependencies, and security hot spots, remediated high-risk paths, and reduced environment setup from weeks to minutes.
Read the anonymous caseTwo ways to start
Start with a named cost or risk. If the work is already understood, we can go straight to implementation.
Trace the cost of serving customers, choose the changes worth making, and carry out the engineering. The work can address architecture, provisioning, or the manual effort around the platform.
Understand the connected technical weaknesses behind recurring failures, difficult changes, or critical dependencies. Establish what needs attention and the practical options for addressing it.
Scope, fees, and how results will be assessed are agreed before work begins. A diagnosis can be commissioned on its own, and its findings can go to another implementer.
03 / How the work moves forward
We connect technical findings with decisions about cost, capacity, and risk, then implement the agreed work.
Examine the applications, infrastructure, costs, and working practices behind the business symptom. Show what the evidence supports and what still needs investigation.
Compare the cost and effort of feasible changes with their likely impact. Separate cash savings, recovered capacity, and reduced risk so you can decide what to fund.
Plan the work around live operations, with testing and recovery arrangements. Check the results against the starting point and make remaining work visible.
AI economics at scale
AI features can change the cost of serving customers and how failures spread through a platform. Systemics investigates and implements changes where those costs or risks constrain the business.
Trace model usage, retries, and supporting services to customer workloads. Identify the paths that make delivery expensive or unpredictable.
Include review, corrections, and exceptions in the cost of delivery. Separate cash savings from time made available for other work.
Examine permissions, data flows, and external dependencies together. Implement the controls and recovery paths the diagnosis supports.
Before we talk
SaaS companies that have reached product-market fit, whether PE-backed or privately held. Costs, recurring failures, difficult changes, or critical dependencies are constraining the business. We work with founders, finance and technology leaders, and PE operating teams.
We work alongside your technical leader, engineers, and maintainers. We agree the work we will take on, use their knowledge of the platform, and keep progress and decisions visible. Your team retains access to the code, accounts, and operating knowledge.
No. You can commission implementation directly when the work is understood. Systemic Risk Diagnosis is an independent option when the causes or priorities need investigation. You can take its findings to another implementer.
Systemics covers the costs and systemic risks of AI features within a SaaS platform, including implementation of the changes needed. Aligned AI Works focuses on building AI workflows and integrations. An engagement can draw on both practices with one accountable lead and one scope.
Before implementation, we agree the starting point and what to measure: hosting expense, onboarding effort, support work, or another relevant cost. We report actual savings separately from estimates and time made available for other work, and explain the assumptions behind the comparison.
Before changes go into use, we agree who will maintain them: your team, an existing provider, or Aligned under a separate maintenance agreement. We keep the code, configuration, and operating knowledge accessible to you and plan any handover around the people taking responsibility.
Let’s find a useful starting point
Tell us which cost, recurring failure, or platform dependency you need to address. We can investigate the causes or get to work on a plan you already have.