This post is for: Health and human services officials, state-based exchange directors, Chief Information Officers (CIOs), security officers, and procurement leaders looking to avoid surprise costs, unplanned procurements, and operational uncertainty.
For health and human services agencies and state-based health insurance marketplaces even the most meticulously planned budgets can become stretched and difficult over time. Federal policy changes, security updates, and shifting service demands can turn a once well-scoped IT investment into a series of unplanned procurements, contract amendments, and emergency funding requests. As a result, the cost of responding to change can easily become a bigger financial burden than a state’s original IT investment.
From a procurement and leadership perspective, this unpredictability complicates budget planning, legislative approvals, vendor management, staff workload and overtime, and program stability, especially during peak periods. To avoid this, many agencies have shifted focus from upfront pricing alone to Total Cost of Ownership (TCO) – the full, long-term cost of operating, maintaining, and adapting a system over time. But with so many variables, trying to predict long-term TCO can be extremely difficult.
At Vimo, our teams have long been examining which solution features lead to a more stable and predictable TCO, and we’ve found that solution architecture is one of the most important influences.
How Architecture Shapes Total Cost of Ownership in Public Services
In our work with state insurance exchanges and public assistance programs, Vimo has seen a consistent pattern: the largest cost surprises tend to come from decisions about system architecture made early on. For example, choosing a heavily customized IT system or one built piecemeal with various tools and bolt-on capabilities may appear cost-effective at first, but each of these approaches tends to come with hidden costs over time, including:
- Separate procurements required to maintain service levels or compliance
- Integration and update complexities and maintenance overhead
- Vendor coordination and communication challenges
- Delays when changes are needed quickly, which may require workarounds
Fortunately, there are also architectural features that tend to reduce cost volatility, surprise demands, and hurdles to program change. We explore these below.
- Vendor-managed architecture and updates increase cost stability.
One of the first indicators of cost predictability is whether a system is built as a true Software as a Service (SaaS) solution, offering states not just a tool, but a service. When architecture, infrastructure, and compliance updates are managed centrally by a SaaS vendor and delivered as part of a stable subscription model, states avoid the cycle of surprise procurements, bolt-on tools, and emergency consulting costs that drive up TCO. Instead, the vendor ensures the system remains up to date, compliant, secure, and effective, offering cost and resource stability even during periods of considerable policy change.
- Modern, integrated technology and tools reduce cost surprises.
Another indicator of cost predictability is the inclusion of modern, cost-efficient tools and technology. When things like databases, security tooling, deployment software, and ticketing systems are integrated into the platform itself, states benefit from reduced procurement overhead, licensing variability, and vendor sprawl. When these tools are not included, they can present considerable costs, staff resource demands, and integration complexities that compound over time. It’s also important to note that not all tools and technologies offer the same advantages. Modern, widely supported technologies with flexible integration capabilities can reduce costs and stress, while niche technologies may lock vendors into expensive components that are hard to update or replace.
- Specific architectural patterns alleviate staff operational burden.
TCO isn’t only about what a system costs; it’s also about how much effort it takes to run. Architectures designed for operational efficiency help agencies avoid costs that often go untracked but add up quickly, such as staff overtime during releases or fixes, delays caused by fragile integrations, and extended outages during updates. In our experience, key architectural features that support operational ease include:
- API-based integrations instead of undocumented point-to-point interfaces
- Standardized data formats (such as JSON) to improve interoperability and speed
- Automated deployment pipelines that reduce manual effort and errorThese design choices impact how quickly systems can be updated, how smoothly changes roll out, and how much staff intervention is required – which all influence long-term cost.
- Built-in flexibility and adaptability reduce the cost of change.
Another major driver of surprise costs is rigidity. Systems that are difficult to adapt often require custom development for each change, emergency consulting support, and temporary workarounds that risk becoming permanent liabilities. Architectures that emphasize flexibility and adaptability, using configurable options, modular components, and microservices where they make sense, allow changes to be implemented incrementally rather than through disruptive, system-wide overhauls. The result is fewer emergencies, lower remediation costs, and greater control over when and how investments are made.
How Vimo Uses These Insights to Curate a More Predictable TCO
Drawing on our experience, Vimo designs and operates our solutions with the goal of helping states avoid surprise costs. Our solution architecture:
- Includes core operational and security capabilities, reducing the need for additional procurements
- Uses modern, cost-efficient technologies to lower licensing and maintenance expenses
- Supports flexible integration through APIs and standardized data formats
- Automates deployment and maintenance processes to reduce operational friction
Just as importantly, federal policy changes and required updates are incorporated into our solution pricing, rather than treated as separate, billable projects. This helps states navigate periods of heightened regulatory change and plan for the future with confidence.
What States Should Look for When Evaluating Cost Predictability
As agencies evaluate government IT platforms and modernization efforts, we recommend asking a few questions to help predict long-term TCO:
- What costs are included, and what triggers additional procurement?
- How are federal and regulatory changes handled over time?
- How much manual effort is required to deploy, update, and maintain the system and its security posture?
- How flexible is the architecture when requirements change?
The answers determine whether a solution will risk recurring budget surprises and procurement hurdles or deliver predictable value over time.
CIO Takeaways
- TCO can be difficult to predict, but it doesn’t have to be.
- Cost spikes generally originate in early design choices.
- SaaS shifts updates from costly projects to predictable management.
- Tool sprawl increases both audit risk and budget instability.
- Operational friction is an avoidable cost driver.
- Flexibility and adaptability determine the cost of change.
In summary, with the right architectural features, states can more accurately predict TCO and achieve greater budget stability, even during times of change.
Interested in continuing the conversation about a lower, more reliable TCO? Download our Architecture and Cost Stability CIO Talking Points or CIO Takeaways Handout, or reach out to us at info@vimo.com.
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The first post in this series explores how architecture impacts compliance and security: Solution Architecture Makes All the Difference (Part 1): Compliance and Security without the Headache.
In the next post in this series, we’ll explore how solution architecture also plays a critical role in avoiding technical debt and legacy system risks, and how this impacts long-term program success.