By Collins Van Liew | Conintento Consulting
Healthcare organizations are spending more on software than ever before while getting less from it. The proliferation of SaaS applications across clinical and administrative functions has created technology environments of extraordinary complexity, with the average enterprise now managing approximately 106 distinct SaaS applications.^1 In healthcare, where regulatory compliance demands, multi-departmental coordination requirements, specialized clinical workflows, and extensive reporting obligations drive additional tool adoption, that number is often considerably higher.
The financial consequences are substantial. Research indicates that organizations have experienced duplicative feature spending increases of up to 240% as departments independently procure overlapping solutions.^2 License waste alone averages $21 million annually per organization across industries, and roughly 57% of SaaS applications go unused or underutilized.^1 For health systems already navigating rising medical costs projected to increase 7-8% annually and record healthcare spending of $4.5 trillion in 2024, one-third of which was classified as wasteful, this technology sprawl represents a significant and addressable drain on operational budgets.^3
The path to SaaS sprawl in healthcare follows a predictable trajectory. Individual departments identify workflow pain points and procure specialized tools to address them. The quality improvement team adopts a project management platform. The compliance department selects a documentation system. The revenue cycle team deploys a denial management application. The medical staff office implements a credentialing tracker. The marketing team subscribes to a communication suite. Each procurement decision is rational in isolation.
Over time, however, the cumulative effect produces an environment where overlapping capabilities are distributed across dozens of disconnected applications. Multiple teams maintain separate tools for fundamentally similar functions: document creation, project tracking, internal communication, data analysis, and workflow automation. According to industry research, the most redundant SaaS categories include online training, project management, file storage, and communication platforms, with organizations averaging more than 14 applications for a single functional category.^1
In healthcare, this redundancy carries additional costs beyond subscription fees. Each tool requires its own onboarding process, user training, IT support infrastructure, security review, vendor management overhead, and compliance verification. When multiplied across departments, these hidden costs frequently exceed the direct licensing expenses. Moreover, the fragmentation creates information silos that impede cross-departmental collaboration and delay decision-making while introducing version-control risks that can have clinical and operational consequences.
Despite the clear financial imperative, healthcare organizations have been slow to consolidate their productivity toolsets. Industry data shows that while the average number of SaaS applications per organization declined modestly from 112 to 106 between 2023 and 2025, the rate of consolidation itself has decelerated significantly, dropping from 14% to 5% year over year.^1 Several factors specific to healthcare explain this inertia.
Contractual lock-in limits flexibility. Multi-year SaaS agreements prevent organizations from discontinuing redundant tools even when the duplication is identified. Complex data migration requirements and integration dependencies further extend the timeline for any consolidation initiative. In healthcare, where data portability is constrained by HIPAA requirements and proprietary vendor formats, the switching costs are amplified.
Departmental autonomy resists centralization. In many health systems, technology procurement authority is distributed across clinical, administrative, operational, and departmental leadership. Each department views its selected tools as essential to its specific workflows and resists consolidation efforts perceived as imposing a one-size-fits-all solution. Without executive-level mandate and a compelling replacement platform, these organizational dynamics perpetuate the status quo.
The absence of a viable consolidation target. Perhaps most critically, healthcare organizations have lacked a productivity platform capable of genuinely replacing the breadth of tools currently in use. Traditional consolidation efforts often result in trading one set of compromises for another, where the unified platform handles some use cases well but forces workarounds for others. For consolidation to succeed, the replacement platform must match or exceed the functional depth of the tools it displaces while providing the collaborative and AI-native capabilities that justify the transition effort.
The financial case for productivity tool consolidation in healthcare extends across four categories of savings.
Direct subscription reduction. Eliminating redundant licenses for project management, documentation, internal wikis, and communication platforms yields immediate cost savings. For a mid-sized health system maintaining separate subscriptions across 10-15 overlapping productivity tools, annual direct savings typically range from $200,000 to $800,000, depending on organizational scale and current vendor pricing.
Administrative overhead reduction. Each vendor relationship requires contract management, invoice processing, security review cycles, and IT support allocation. Consolidating to a single platform provider dramatically reduces the administrative burden associated with vendor management. Health systems that have pursued consolidation strategies report significant reductions in the time and resources devoted to legal contracting, procurement processing, ongoing vendor oversight, and periodic compliance recertification.^3
Productivity recovery. Employees currently lose substantial time navigating between disconnected systems and duplicating content across platforms while reconciling information from multiple sources. McKinsey research indicates that employees spend approximately 1.8 hours per day searching for and gathering information across enterprise systems.^4 A consolidated platform that serves as a single source of truth for team collaboration, project tracking, operational documentation, and institutional knowledge management directly reduces this information retrieval burden.
Governance simplification. Managing security policies, access controls, data retention standards, and compliance requirements across a portfolio of independent vendors consumes disproportionate IT and compliance resources. A unified platform with centralized governance eliminates the need to conduct separate security assessments and maintain distinct audit trails while enforcing inconsistent data handling policies across multiple vendors. For healthcare organizations subject to HIPAA, this simplification carries both financial and risk-reduction value.
Superhuman’s AI-native productivity suite is architecturally designed to replace the fragmented collection of productivity tools that healthcare organizations have accumulated over the past decade. Rather than addressing a single functional need, the platform consolidates collaborative workspaces, AI-native email, proactive AI assistance, and a growing agent ecosystem within a single security and governance framework.
Coda replaces the fragmented productivity stack. Coda functions as an all-in-one collaborative workspace that combines the flexibility of documents, the structure of databases, the power of application logic, and the intelligence of AI within a single environment. For healthcare organizations, this means consolidating the separate tools currently used for project management, internal wikis, operational tracking, team communication, and data analysis into a unified platform with more than 800 integrations. Clinical operations teams can build product team hubs, decision documents, quality improvement trackers, and cross-departmental dashboards that update in real time and serve as the authoritative source for organizational information. Coda’s AI capabilities, including contextual chat, automated page and table summarization, AI-powered data columns, and natural-language solution building, further reduce the need for separate AI productivity tools. For healthcare organizations currently paying for overlapping subscriptions to tools like Notion, Confluence, SharePoint, Google Docs, Trello, Airtable, Smartsheet, and Google Sheets, Coda offers a single replacement that handles all of these use cases while providing capabilities none of them can match individually. Coda serves more than 50,000 teams, including over 80% of the Fortune 100, with customers spanning organizations such as Spotify, Uber, Netflix, and Figma.
Superhuman Mail consolidates email productivity tools. Rather than layering separate AI writing assistants, inbox management tools, scheduling applications, and team collaboration plugins on top of a standard email client, Superhuman Mail provides an integrated AI-native email experience. The platform automatically prioritizes inbox content, drafts contextual replies, manages follow-ups, schedules meetings, and enables team collaboration on email threads before messages are sent. Reported outcomes include responding one day sooner on average and handling 2.35 times more emails, while recovering four or more hours per week. For health systems where leadership, physician liaisons, compliance officers, and administrative teams each maintain their own constellation of email productivity add-ons, Mail consolidates these into a single, purpose-built application.
Superhuman Go eliminates the need for standalone AI assistants. Many healthcare organizations have adopted separate AI writing tools, research assistants, productivity chatbots, and summarization utilities that operate independently of one another and outside of established governance frameworks. Go replaces this fragmented AI landscape with a unified proactive AI layer that embeds across more than one million applications. Rather than requiring employees to navigate to a separate AI tool, Go surfaces contextual assistance within the applications they already use, including EHR systems, billing platforms, email clients, and project management workspaces. Go’s context layer connects to enterprise data systems, including databases, CRMs, data warehouses, and business intelligence platforms, providing AI that understands organizational context rather than operating in isolation.
The Superhuman Agent Marketplace and Go Agent Builder replace the patchwork of single-purpose automation tools that healthcare organizations have accumulated. Rather than maintaining separate integrations for each workflow automation need, the platform offers specialized agents for writing, sales, product, and enterprise functions alongside the ability to build custom agents tailored to healthcare-specific requirements such as compliance monitoring, credentialing support, patient outreach automation, or internal policy enforcement. These agents operate within the platform’s unified governance layer, eliminating the security and compliance risks associated with ungoverned shadow AI tools.
Enterprise security enables compliant consolidation. For healthcare organizations, any consolidation strategy must satisfy rigorous regulatory requirements. Superhuman maintains SOC-2 Type 2 and GDPR compliance across its products, with HIPAA compliance available through Coda and Grammarly. The platform enforces permission-aware data integrations, commits to no data storage without explicit organizational permission, no AI training on customer data, end-to-end encryption, and BYOK encryption options. AI agent usage is governed through centralized logging and auditing alongside comprehensive usage reporting. This unified security posture means healthcare organizations can consolidate their productivity toolset without compromising their compliance position, and in many cases, significantly strengthening it by eliminating the governance complexity inherent in managing a portfolio of independent vendors.
For healthcare executives and process improvement leaders considering a consolidation initiative, we recommend a phased approach that balances financial urgency with organizational change management.
Phase 1: Conduct a comprehensive tool audit. Inventory every productivity application in use across the organization, including shadow IT deployments that exist outside formal procurement channels. For each tool, document the subscribing department, annual cost, number of active users versus licensed seats, functional category, and any integrations with other systems. This audit typically reveals that 40-60% of productivity subscriptions are either redundant, underutilized, or both.
Phase 2: Map functional categories to consolidation targets. Group the audited tools by functional purpose rather than by department. Identify the categories where the greatest redundancy exists, typically document collaboration, project management, internal knowledge bases, and workflow tracking. Evaluate platform solutions capable of addressing multiple categories simultaneously, prioritizing those with enterprise-grade security and HIPAA compliance alongside the collaborative AI capabilities required to justify adoption across diverse healthcare teams.
Phase 3: Execute a phased migration with measured outcomes. Begin with a pilot department or functional area that has expressed dissatisfaction with the current tool environment. Establish baseline metrics for time spent in cross-platform navigation, information retrieval overhead, content duplication, and direct subscription costs. Migrate the pilot group to the consolidated platform, measure outcomes over a 60-90 day period, and use the results to build the organizational case for broader rollout.
Phase 4: Institutionalize the consolidated platform as the organizational standard. As migration expands, establish the consolidated workspace as the official environment for cross-departmental collaboration, operational documentation, team productivity, and institutional knowledge management. Negotiate contract wind-downs for displaced tools as licensing terms expire, and redirect the recovered budget toward capabilities that generate measurable clinical or operational value.
Healthcare organizations cannot sustain the compounding costs of productivity tool sprawl. The 240% increase in duplicative feature spending represents not merely a budgetary inefficiency but a structural impediment to operational performance, cross-departmental alignment, governance posture, and AI maturity. Every redundant subscription is a missed opportunity to invest in capabilities that improve patient care and accelerate decision-making while reducing the administrative burden on an already strained workforce.
The consolidation opportunity is significant, and the platforms capable of executing it credibly now exist. Health systems that move decisively to replace their fragmented productivity toolsets with unified, AI-native platforms will realize both immediate cost savings and long-term competitive advantages in operational efficiency, governance simplification, workforce productivity, and AI readiness. Those that delay will continue to pay the compounding tax of fragmentation while the gap between them and their more consolidated peers continues to widen.
BetterCloud. 2025 state of SaaS report. Published April 30, 2025. Accessed April 12, 2026. https://www.bettercloud.com/resources/state-of-saas/
Zylo. SaaS consolidation in 2025: benefits, risks, and how to do it. Published October 23, 2025. Accessed April 12, 2026. https://zylo.com/blog/saas-consolidation/
Clarify Health. Value propositions of vendor consolidation: an alternative to point solutions. Published January 9, 2025. Accessed April 12, 2026. https://clarifyhealth.com/insights/blog/value-propositions-of-vendor-consolidation-an-alternative-to-point-solutions/
McKinsey Global Institute. The social economy: unlocking value and productivity through social technologies. Published July 2012. Accessed April 12, 2026. https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/the-social-economy
McKinsey & Company. Superagency in the workplace: empowering people to unlock AI’s full potential at work. Published January 28, 2025. Accessed April 12, 2026. https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work
*Collins Van Liew is the Director of Strategic Enablement at Conintento Consulting, a business process improvement consultancy specializing in healthcare operational excellence. For more information, contact Collins@conintento.com.*