AI Governance & Productivity Enablement for Biotech & Pharma
Accelerating Innovation Through Governed, Enterprise-Grade AI Workflows
AI is rapidly being embedded into the daily operations of biotech and pharma companies, from R&D and clinical operations to quality and commercial functions. While the promise of efficiency and insight is significant, ungoverned adoption creates risk. Celito provides a structured framework for AI governance and productivity enablement, ensuring that organizations adopt enterprise-grade AI platforms in ways that are secure, compliant, and scalable.
Why It Matters
For life sciences companies, unmanaged AI adoption can lead to security gaps, regulatory risk, and inefficiencies. Sensitive data such as PHI, PII, IP, and clinical trial records require strict oversight, yet teams often experiment with multiple tools in silos. This results in wasted effort, compliance exposure, and stalled productivity. By implementing clear governance frameworks, standardized platforms, and secure workflows, organizations can confidently scale AI adoption while protecting data integrity and meeting FDA expectations.
What We Deliver
AI Platform Integration
- Deploy enterprise-grade platforms like Microsoft Copilot and ChatGPT Enterprise.
- Connect AI with core systems such as M365 and SharePoint for seamless use.
- Configure workflows that enable secure summarization, analysis, and reporting.
Tailored AI Deployments for Biotech Use Cases
- Deploy closed, trained AI models for biotech-specific needs such as internal R&D data analysis, clinical data analysis, and commercial enablement.
- Customize solutions for granular scenarios, ensuring teams receive individualized tools aligned with their workflows.
- Integrate AI into scientific, clinical, and operational pipelines to accelerate discovery, improve accuracy, and reduce manual effort.
Governance & Policy Frameworks
- Define organizational guidelines for approved and restricted AI use cases.
- Establish controls for handling PHI, IP, financial, and regulatory data through data loss prevention and data classification implementations.
- Implement oversight through role-based access, monitoring, and audit logs.
Training & Adoption
- Provide tailored training for scientific, clinical, and operational teams.
- Develop safe-prompt playbooks designed for life science scenarios.
- Deliver ongoing coaching and feedback to build confidence and consistency.
Security & Compliance Controls
- Continuously monitor AI activity to prevent data leakage and IP exposure.
- Build safeguards to minimize regulatory and reputational risks.
- Align AI-assisted processes with FDA, GxP, and industry compliance standards.
Ongoing Optimization
- Deliver dashboards and reporting to track usage and adoption.
- Update policies and frameworks as regulations and technologies evolve.
- Expand AI capabilities responsibly as organizational maturity increases.
Our 4‑Step Methodology
Assess
Current AI usage, workflows & compliance gaps.
Architect
Define governance frameworks, select platforms, and design secure integrations.
Implement
Deploy AI solutions, validate compliance, and enable adoption.
Optimize
Monitor usage, refine policies, and expand capabilities.
Flexible Ways to Engage
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Model
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Typical Use Case
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Commitment
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Audit & Assess
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Determine and Identify risks and applicability for AI integration
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Project‑based
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Develop & Implement
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Business focused AI implementation supporting identified use cases
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Project-Based
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Operations & Support
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Continuously review and enhance AI deployments with latest technology
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Ongoing
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Proven Outcomes
Unified AI platform replacing fragmented tool use.
Increased efficiency in reporting, documentation, and analysis.
Regulatory confidence through audit-ready governance frameworks.