Governance, Standardization, Strategy Alignment, Measurable Results
Synistosa’ s (PMOaaS) model enables organizations to scale project and program execution with built-in agility, governance, and accountability—without the overhead of building a traditional internal PMO.
We provide a fully managed, expert-led PMO function tailored to your strategic objectives, organizational structure, and delivery frameworks. Whether you're augmenting an existing capability or launching a new transformation initiative, we embed seasoned professionals, proven methodologies, and technology-agnostic workflows to deliver consistent, measurable value.
Client Overview:
A small Hair salon with less than 5 employees operating in south Florida.
Business Challenge:
The owner was a working owner, working behind the chair daily and trying to manage the day to day business at the same time. The salon owner was looking for a cost effective way to manage customer daily phone calls that included general customer inquiries, directions, and appointment management.
Approach:
Conducted a readiness assessment
Identified that a Voice AI would be most beneficial
Designed the workflows and deployed an AI virtual receptionist assistant utilizing Open AI LLM's combined with salon specific hyper personalization and RPA workflows.
The AI virtual receptionist answers the phone's, customer questions, manage customer appointments, makes outbound appointment confirmation calls and is fully integrated with the Salon's choice of salon management software.
Results & Impact:
Significantly reducing owner phone time by 70%
Reduced missed calls by 95%
Increase owners ability to be behind the chair by 25%
Increase revenue by 25%
Client Overview:
A not-for-profit health system operating 12 hospitals and dozens of outpatient clinics across the Southeast U.S., serving over 2 million patients annually.
Business Challenge:
The client faced financial penalties from CMS for excess 30-day readmissions and lacked a predictive model to flag high-risk patients early. Care coordination teams were overwhelmed and operating reactively.
Approach:
Conducted a readiness assessment of EHR, claims, and patient notes
Facilitated cross-department stakeholder workshops (clinical, data, compliance)
Developed a predictive model using structured and unstructured data (diagnoses, prior admissions, discharge instructions, provider notes)
Embedded insights into the discharge workflow via native Epic integration
Delivered ongoing governance through PMOaaS, aligning compliance and outcomes teams
Results & Impact:
23% reduction in 30-day readmissions within the first 6 months
Prioritized outreach increased care team efficiency by 40%
Avoided ~$1.1M in CMS penalties
Established an analytics governance model across all population health projects
Challenge:
Disparate systems and disconnected datasets were hampering Mednax's ability to maintain clean, reliable master data across its organization. Manual processes introduced costly inefficiencies and data quality issues.
Solution:
Synistosa led the implementation of Ataccama ONE, establishing a scalable enterprise-wide Master Data Management (MDM) platform. The project included governance design, data domain modeling, KPI dashboards, and data certification workflows.
Impact:
Established a centralized, secure system of record for master/reference data
Enabled ongoing data quality metrics by domain
Reduced IT rework and operational overhead
Sunset legacy systems requiring costly maintenance
Improved stakeholder satisfaction through better data access
Challenge:
GHW’s QA teams were using outsourced platforms (Calabrio and Discover) to evaluate call center agent performance. These tools lacked integration, speed, and the flexibility required for evolving internal QA standards.
Solution:
Synistosa designed and delivered CASE 2.0, a proprietary QA Compliance Score Recording platform integrated with GHW’s custom video/audio engine. It streamlined remote evaluations and introduced analytics to identify retraining needs.
Impact:
Replaced outsourced QA tools, saving $135,000 annually
Improved QA evaluation throughput by 50%
Enabled predictive analytics for agent retraining
Created measurable performance frameworks aligned with compliance
Challenge:
GVW needed to replace outdated systems for managing 2,400 independent call center contractors in 40 countries. Manual reconciliation, invoice approval, credential management, and payments processes were slow, error-prone, and non-scalable.
Solution:
Synistosa developed a centralized IBO Information Management System (IBO-IMS), integrated with Oracle Financials and third-party platforms like Pipkins and Atmosphere. It automated invoice reconciliation, onboarding, and certification workflows.
Impact:
Reduced invoice processing time by 50%
Automated payments and approval processes globally
Cut administrative costs by $23,000/month
Unified access to key IBO data for finance and operations
Challenge:
Healthcare provider struggled to centralize and analyze data from fragmented revenue cycle systems. Their enterprise analytics team was bandwidth-constrained, and self-service reporting was limited.
Solution:
Synistosa augmented the providers internal teams with a specialized data integration and analytics workforce. We supported the IDEA initiative, enabling ingestion, mapping, and dashboarding of clinical and revenue cycle data.
Impact:
Integrated data from multiple EMRs and RCMs
Enabled enterprise-wide self-service analytics via IDEA
Accelerated delivery of the Revenue Cycle Analytics platform
Improved decision-making and predictive forecasting through data science capabilities
Challenge:
A national healthcare provider had fragmented data marts and outdated dashboards across its operations, limiting visibility into revenue and operational performance.
Solution:
Synistosa led the consolidation of data marts, implemented incremental pipelines, and modernized dashboards to track executive KPIs and operations metrics. The team automated data refreshes and improved visualizations for finance and marketing.
Impact:
Reduced data refresh time from hours to minutes
Enabled real-time visibility into revenue trends across business lines
Supported executive and board-level analytics
Established scalable KPI dashboards for operations and medical staff
Challenge:
The client’s marketing team lacked clear visibility into performance by region, campaign, or membership cohort, resulting in delayed insights and missed optimization opportunities.
Solution:
Synistosa designed and implemented a Marketing KPI dashboard tailored to active membership analysis, visit trends, conversion and retention rates, and campaign segmentation.
Impact:
Cut hospital audit time from 2 hours to under 30 minutes
Enabled identification of underperforming locations for proactive outreach
Informed strategic quarterly marketing pushes
Integrated “pre vs post” membership engagement logic into campaign planning
Challenge:
A major healthcare organization lacked a standardized way to evaluate doctor and clinic performance across regions. This hindered onboarding, training, and quality improvement initiatives.
Solution:
Synistosa built and deployed a medical KPI dashboard with group-based access controls, providing insights into doctor performance, standard deviations, and clinic-level trends. The rollout was integrated into the broader Medical Director onboarding program..
Impact:
Rolled out KPIs across all business units with tailored visibility
Enhanced doctor onboarding and coaching effectiveness
Improved performance benchmarking at both individual and clinic levels
Increased adoption via structured training and iterative improvements
Challenge:
A large healthcare provider's MapR-based data lake was underperforming, with slow query times, high maintenance costs, and limited scalability.
Solution:
Synistosa managed the cloud migration of legacy data warehouses to a modern cloud-based platform, reducing infrastructure complexity and enabling faster analytics. This included ingestion automation, metadata governance, and role-based dashboards.
Impact:
Reduced data load time by 75% and query response times by 95%
Improved platform stability by 25%
Migrated over 200M rows and 300K columns
Decommissioned legacy platforms, saving infrastructure costs
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