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Talk to a Clinical Workflow Expert

Understand how supervised execution applies to your workflows with governance, traceability, and expert oversight.

Structured workflow evaluation

Governance-aligned execution model

Experts across clinical, data, and regulatory domains

Why organizations engage with our experts

Clinical teams today have visibility into operational issues. What remains constrained is structured resolution across workflows.

Evaluate execution capacity in specific workflows

Understand governance and compliance implications

Assess integration with existing systems (EDC, CTMS, etc.)

Define a structured evaluation approach

Agentic AI Offerings

Maxis AI delivers supervised intelligent executionacross biometrics workflows
Built on experience from 3,300+ clinical trials
Works within existing systemsction in delays
Governed execution model

Our Clinical Workflow Experts

Experts who ensure workflows are guided, validated, and accountable.
Clinical Operations Expert
Rajesh Hagalwadi
(Director of Clinical Solutions)
Focus: Startup, enrollment, coordination workflows
Helps with: Timeline variability, Vendor coordination, Execution bottlenecks
Data Management & RBQM Expert
Jayashree Ivaturi
(Data Analytics and Engineering Leader)
Focus: Query management, data cleaning, risk-based monitoring
Helps with: Backlog reduction, Data workflow consistency, Database lock pressure, Risk assessment
Biometrics / Statistical Programming
Stephen Faulkner
(Director, Statistical Programming and Analytics)
Focus: SDTM, ADaM, TLF workflows
Helps with: Programming throughput, Output consistency, Submission readiness
Biometrics / Statistical Programming
Ramaswami Peddiboyina
(Director, Product Management Group)
Focus: SDTM, ADaM, TLF workflows
Helps with: Programming throughput, Output consistency, Submission readiness
Medical Writing / Regulatory
Nikhil Muthyala
(Systems Engineer)
Focus: CSR, narratives, documentation
Helps with: Drafting cycles, Review delays, Traceability
Medical Writing / Regulatory
Rishitha Venkannagari
(Systems Engineer)
Focus: CSR, narratives, documentation
Helps with: Drafting cycles, Review delays, Traceability
Governance / QA / IT
Laxmiraju Kandikatla
(MPharm, CQA, CSV Lead)
Focus: Compliance, validation, audit
Helps with: Validation approach, Audit traceability, Integration risk
Governance / QA / IT
Rajesh Majji
(Vice President, Product & Technology)
Focus: Compliance, validation, audit
Helps with: Validation approach, Audit traceability, Integration risk

What to expect in the discussion

Define workflow under discussion

Understand current constraints

Map supervision and governance checkpoints

Outline structured evaluation approach

Designed for regulated environments

Human validation checkpoints

Audit traceability

Role-based permissions

Controlled execution boundaries

Looking for Agentic AI for clinical trials?

Explore our Agentic AI Platform to see how AI agents are transforming study startup, data management, oversight, and regulatory submissions.