MARLBOROUGH, MASS. — Nov. 10, 2026 — Quantiphi, an AI-native services partner and Diamond Partner in the Google Cloud Services and Co-sell Partner paths, today announced it has been selected as an official launch partner for Gemini for healthcare from Google Cloud. With an Advanced Competency in Gemini and 21 Google Cloud Partner of the Year awards, Quantiphi will architect and deploy specialized agentic AI workflows tailored specifically for health systems, hospital networks, and healthcare payers.
“Healthcare represents one of our largest and most critical sectors, and our work across health systems, providers, and the broader health ecosystem makes one thing clear: meaningful scale isn’t about technical novelty, it is about pinpointing high-friction workflows and solving them with precision,” said Quantiphi Global Practice Leader for AI Gaurav Johar. “By pairing Google Cloud’s agentic capabilities with our value-driven delivery framework, we ensure enterprises in the healthcare ecosystem don’t just experiment with AI, but deploy agentic solutions that ease administrative burden, streamline care delivery, fast-track clinical research insights and drive measurable operational value from day one.”
As health systems move beyond horizontal productivity tools, Gemini for healthcare introduces a secure, highly verticalized approach to AI. Quantiphi — having delivered over 4,500 data and AI projects globally, driven by a workforce with more than 3,000 Google Cloud certifications — is positioned to bridge Google Cloud’s engine with support for HIPAA compliance, protected health information (PHI) data boundaries, and complex workflows required across the care continuum.
"Deploying agentic AI in healthcare requires an uncompromised commitment to security, HIPAA compliance, and data governance," said Aashima Gupta, Global Managing Director,Healthcare, Google Cloud. "Partners like Quantiphi play a vital role in bridging our advanced AI technologies with complex, real-world clinical and administrative systems to accelerate safe, scalable adoption."
In healthcare, Quantiphi is transforming caregiver experiences, clinical workflows and healthcare operations through its platform-led agent factory engagements. The company has demonstrated measurable impact across health systems, improving clinical user efficiency through automated clinical documentation, intelligent EHR chart synthesis and streamlined payer-provider workflows.
About Quantiphi
Quantiphi is an AI-native services partner that empowers enterprises to own their intelligence and compound their competitive edge. We build sovereign AI foundations within their secure environment, giving them absolute control over their data, context, IP and an AI foundation that is portable across a variety of cloud infrastructures.
By getting their data AI-ready and shifting from fragmented experimentation to lean, sovereign engineering, we enable true organizational self-sufficiency by transforming AI from a consumption expense into a high-ROI asset. We measure success by tangible business outcomes, delivering the lasting AI capability that compounds their competitive edge.
From AI Experiments to Industry Execution with Gemini
For the past few years, agentic AI has shown enterprises what is technically possible. The harder question has always been what it takes to make that technology useful inside a real business—especially in organizations operating under strict regulatory, security, and operational constraints.
That reality hits hardest in financial services and healthcare. Neither industry needs another general-purpose chatbot. What they need is AI capable of handling dense, domain-specific data, operating within established compliance controls, and supporting multi-step workflows where decisions carry immediate financial, legal, or human weight.
With Google Cloud introducing dedicated industry capabilities within Gemini for financial services and healthcare, that shift is officially underway. Quantiphi is proud to participate as an official launch partner, bringing our engineering practice and vertical expertise to help enterprises turn these capabilities into practical, production-ready systems.
Why an Industry-Focused Approach Matters
Most enterprise leaders have moved past debating foundational models. The question now isn't "what can this model do?" but "where does this create measurable value, and how do we deploy it responsibly at scale?"
Answering that requires far more than API access to an LLM. Enterprise AI has to understand the operational context around a task, connect securely to core systems (EHRs, core banking engines, claims management platforms), and adhere strictly to data governance and regulatory compliance boundaries. Above all, it has to integrate into how teams already work.
This is where agentic AI moves the needle. Instead of responding to an isolated prompt, autonomous agents reason across disparate systems, coordinate multi-step workflows, and execute tasks while keeping human experts firmly in control. The goal isn't just shaving thirty seconds off an email draft; it's modernizing entire operational pipelines from end to end.
Turning Industry Complexity into Working Solutions
Both financial services and healthcare run on trust, auditability, and deep workflow fragmentation. Making AI work here means tackling high-friction, document-heavy bottlenecks head-on.
In Financial Services: Critical value sits locked inside slow, paper-intensive processes. Underwriting reviews, claims adjudication, fraud analysis, and customer dispute resolution span fragmented legacy systems and demand heavy manual interpretation. By deploying governed agentic workflows, financial institutions can synthesize complex records, surface risk factors, and accelerate resolution times—without compromising on audit trails, compliance, or capital risk.
In Healthcare: The pressure points are acutely operational and human. Health systems, hospital networks, and payers are contending with staggering administrative drag, clinical documentation fatigue, and broken data exchange across the care continuum. Properly grounded agentic workflows can summarize longitudinal EHR charts, streamline prior authorization intake, and surface relevant clinical data at the point of care. In an environment governed by HIPAA and protected health information (PHI) boundaries, accuracy, traceability, and strict data isolation aren't nice-to-haves; they are prerequisites for entry.
Engineering for Enterprise Governance and Control
Technology alone does not deliver business impact. The real work is grounding agents in verified institutional data, connecting them to enterprise applications, establishing clear security guardrails, and tying every deployment to a baseline financial or operational ROI.
Quantiphi has spent over a decade partnering with Google Cloud to solve these exact engineering challenges. Across more than 4,500 engagements and 21 Google Cloud Partner of the Year awards, we have validated a core truth: successful AI adoption depends on clean data foundations, deep workflow understanding, and disciplined execution.
That pragmatic focus on solving what matters is what separates a stranded pilot from an enterprise capability. Our Advanced Competency in Gemini and certified Forward Deployed Engineers allow us to bridge Google Cloud's underlying intelligence with the operational realities of regulated enterprises—building the enterprise intelligence you need to compound your edge on Google Cloud across everyday operations.
Compressing the Path to Production
Enterprises shouldn't have to rebuild the same foundations for every use case. Through our accelerators and pre-built industry solution modules, we give teams proven starting points while adapting every integration to client-specific architectures.
That is how our teams recently implemented over 100 enterprise agents in 100 days. The velocity matters, but the larger takeaway is that production AI moves rapidly when built on repeatable, governed patterns.
Further, as a select partner in Google Cloud’s Gemini Enterprise transformation program, Quantiphi helps customers unlock dedicated Google Cloud co-investment. This funding directly offsets the financial friction of moving from sandbox experimentation into production. By pairing dedicated GET investment with our delivery frameworks, we help organizations stand up their first governed agents in weeks rather than quarters—delivering a lower-risk, faster route from a promising idea to an AI-native capability running securely at scale.
The Next Phase of Enterprise AI
For financial services and healthcare organizations, the opportunity is not to deploy agents everywhere. It is to identify the workflows where better access to information, more coordinated execution, and thoughtful automation can create a meaningful business outcome—and then build with the security, governance, and human oversight those workflows require.
As an official launch partner, Quantiphi is working with Google Cloud to help enterprises make that transition.
Ready to identify where Gemini can create value in your organization? Talk to our team.