Improve Healthcare Quality With Data & AI
The competitive advantage in clinical AI isn't model sophistication. It's whether your data governance can keep up with your ambition.
Healthcare and Life Sciences organizations must modernize under strict regulatory requirements. We build secure AI solutions that improve efficiency, accelerate research, and deliver measurable results.

Innovation built for the realities of healthcare — fast, safe, and compliant. Where AI, regulatory rigor, and clinical expertise come together to drive impact.
We help you move from idea to measurable impact in weeks — not years — while navigating clinical, regulatory, and privacy demands.
We use AI and automation to shorten cycle times, lower costs, and improve experiences, without compromising privacy, accuracy, or quality of care.
We bring real experience to the table — industry practitioners who understand the operational and regulatory challenges.
Perficient delivered an engaging enterprise web presence, a key component to our integrated campaigns, to capture patients in our highly competitive market. We have built a long-term partnership with Perficient because they focus not only on our current needs but also on our future digital success.
Manager of Digital Marketing
Edward-Elmhurst Health

Healthcare and Life Sciences innovation often stalls between workflow and system reality. EHR data stays siloed. Research teams wait weeks for access. AI breaks down in production because governance wasn’t built in.
The result: delayed research, operational bottlenecks, manual workarounds, and pilots that never reach production.
We focus on acceleration in regulated environments. How long from request to governed data access? How long to move AI from pilot to approved use under FDA, HIPAA, and industry controls? How long to integrate into real workflows — clinical, operational, R&D, and commercial? We reduce that time.
We build with compliance from day one. AI that holds up under FDA, HIPAA, and industry controls. Workflows with real‑time, governed access across clinical, operational, R&D, and commercial teams. Platforms integrated without brittle custom builds. And automation that lowers administrative burden while preserving auditability.
This isn’t about “transforming Healthcare and Life Science.” It’s closing the gap between need and capability — accelerating time to insight, time to action, and time to market.

Healthcare and Life Science organizations run on technology that wasn't built for today's demands. Systems don't integrate. Modernization takes too long and costs too much. Infrastructure that blocks new capabilities instead of enabling them.
The result: fragmented data, integration bottlenecks, technical debt, and infrastructure that can't support automation, or AI at scale.
We focus on what modernization enables. How long to integrate new tools into existing clinical, operational, research, and commercial workflows? How long to make governed data accessible across teams and systems? How long to reduce cost and complexity through automation? We compress those timelines.
We take a different approach — platform modernization that reduces cost, improves interoperability, and unlocks new capability. We use open standards like HL7, FHIR, DICOM, and X12 so data moves cleanly across clinical, operational, research, and commercial systems. Cloud migrations are designed for security and compliance, and automation removes repetitive work without breaking how teams actually operate.
This isn’t about chasing trends. It’s about making infrastructure support what organizations must do — coordinate care, reduce cost, integrate data, accelerate research, stay compliant, and maximize investments.

Healthcare and Life Science organizations collect massive amounts of data but struggle to use it. Clinical, financial, and partner systems don’t talk to each other. Dashboards are built, but insight rarely becomes action.
The result: missed opportunities, operational inefficiencies, and AI initiatives that can't access the data they need.
We focus on making data actionable across the entire ecosystem. How long to connect clinical, operational, research, financial, and commercial data? How long before teams trust insights enough to act? How long until analytics can predict needs or surface opportunities across care, operations, and product development? We close that gap.
We unify data across clinical, financial, operational, research, and commercial systems using open interoperability standards, then design HIPAA‑aligned architectures with security and compliance built in. Governance establishes lineage, quality, and stewardship — so teams trust what they see, and AI can act on it.
This isn’t about building more dashboards. It’s about making data accessible, reliable, and ready for AI — so organizations can improve care coordination, reduce cost, and automate intelligently. Because better decisions require data teams can trust — and act on.

Healthcare and Life Science consumer experiences are still fragmented. Options are confusing and disconnected. Individuals and care teams hit friction at the moment they most need clarity.
The result: care delays, leakage, and frustration that erodes trust and engagement.
We focus on removing friction across the Healthcare and Life Sciences experience. How long for people to find the right information, support, or product? How long before teams can guide them with clarity and confidence? How long until digital experiences adapt to real needs across care, coverage, research, and treatment? We eliminate that friction.
We build connected digital experiences that meet real needs across care, coverage, research, and treatment. Front doors that guide people to the right information and support. Tools that streamline coordination between consumers, clinicians, teams, and partners. Self‑service that reduces administrative load while keeping human connection where it matters.
This isn’t about launching new apps or chatbots. It’s about identifying where people get stuck — clinical workflows, education and adherence, scheduling, billing, records access, cost clarity — and removing those barriers through connected data and empathetic digital journeys.
Better experiences don’t just feel better. They lead to better outcomes.








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The competitive advantage in clinical AI isn't model sophistication. It's whether your data governance can keep up with your ambition.
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Senior Vice President, Healthcare and Life Science
Hari brings more than 20 years of IT leadership experience building high-performing teams and driving results across sales, delivery, and technical consulting. He has a proven track record of scaling technology organizations and turning complex challenges into measurable outcomes.