Central AI Platform with HYPER-VERTICALIZED AGENTS

Marketing mix Agent
Microsegmentation
Causal inference Agent
Ad hoc analytics Agent
Anomaly detection Agent
Rep Buddy
Advanced Analytics
Ad hoc Reporting & Analytics
Operations Excellence
The Planning Agent : Orchestrating verticalized Python-based workflows for advanced analytics automation using fine-tuned LLMs
Micro-segmentation Micro-segmentation
Marketing Mix Marketing Mix
Root-cause / Causal-inference Root-cause / Causal-inference
Dynamic reporting Dynamic reporting
Next Best Action Next Best Action
Python-based workflows Adding more everyday
Central AI Platform : A layer to deterministically connect business context, data, and analytics across your stack using YAML & Python
Modern Tech-stack for Commercial Pharma
Marketing mix Agent

Purpose: Optimize Promotional Investments with Always-On MMM

IDEAL USER PROFILES

  • Marketing & Brand Leaders
  • Omnichannel Optimization Teams
  • Commercial Effectiveness Groups

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: Channel ROI Measurement
  • “Which channels delivered the highest ROI last quarter?”
  • “How effective were speaker programs vs rep calls?”
  • “What’s the digital engagement return vs cost?”
Use-Case 2: Budget Optimization
  • “Where should we reallocate next quarter’s spend?”
  • “What’s the marginal ROI of adding more speaker programs?”
  • “How can I maximize $5M marketing budget by region?”
Use-Case 3: Forecasting & Simulation
  • “What will ROI look like if we double digital investment?”
  • “How will reducing rep calls affect conversions?”
  • “Which region offers best incremental return on promotion?”
Marketing Mix Agent

WHY ORCANA IS THE BEST

RELIABILITY

Off-the-Shelf (IQVIA MMM, Databricks Pipelines)

Orcana Advantage

Quarterly/annual updates

Continuous MMM refresh from new data feeds

DOMAIN FIT

Off-the-Shelf (IQVIA MMM, Databricks Pipelines)

Orcana Advantage

Generic media inputs

Includes rep calls, speaker events, digital touches

EXPLAINABILITY

Off-the-Shelf (IQVIA MMM, Databricks Pipelines)

Orcana Advantage

Black-box regression

Transparent ROI curves with clear levers

ACTIONABILITY

Off-the-Shelf (IQVIA MMM, Databricks Pipelines)

Orcana Advantage

PowerPoint output

Budget shift recommendations + scenario modeling

ADOPTION

Off-the-Shelf (IQVIA MMM, Databricks Pipelines)

Orcana Advantage

Consulting bottleneck

Self-serve & real-time for brand teams

Microsegmentation

Purpose: Intelligent Audience Segmentation for Targeting & Personalization

IDEAL USER PROFILES

  • Brand Managers / Marketing Analytics Teams
  • Customer Engagement & Omnichannel Leads
  • Field Planning & Targeting Teams

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: HCP Segmentation
  • “Which HCPs have high initiation but low adherence?”
  • “Who responds best to peer-to-peer programs?”
  • “What are the behavioral patterns of top prescribers?”
Use-Case 2: Hospital & Account Clustering
  • “Which hospitals serve similar patient cohorts?”
  • “How can we cluster accounts based on access dynamics?”
  • “Where are our top-performing facilities by adherence?”
Use-Case 3: Campaign Personalization
  • “Which segments should receive digital reminders?”
  • “Where should we deploy speaker programs for max impact?”
  • “Which HCP cluster is most likely to adopt after access wins?”
Microsegmentation Agent

WHY ORCANA IS THE BEST

CATEGORY

Off-the-Shelf (IQVIA, McKinsey, Databricks)

Orcana Advantage

One-time clustering, no QA

Continuous, auto-validated segmentation refresh

DOMAIN FIT

Off-the-Shelf (IQVIA, McKinsey, Databricks)

Orcana Advantage

Generic demographic inputs

Uses claims, access, specialty mix, patient volume

EXPLAINABILITY

Off-the-Shelf (IQVIA, McKinsey, Databricks)

Orcana Advantage

“Cluster 1 / Cluster 2”

Human-readable segments (e.g., “High-initiation, low-adherence Oncologists”)

ACTIONABILITY

Off-the-Shelf (IQVIA, McKinsey, Databricks)

Orcana Advantage

PowerPoint output only

Directly feeds GTM and campaign planning

ADOPTION

Off-the-Shelf (IQVIA, McKinsey, Databricks)

Orcana Advantage

Data-science heavy

Business-friendly interface, automated storytelling

Causal inference Agent

Purpose: Quantify True Impact of Commercial Events

IDEAL USER PROFILES

  • Brand Strategy & Insights Teams
  • Market Access & Competitive Intelligence Leaders
  • Commercial Data Science Groups

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: Competitive Event Impact
  • “Did Competitor X launch affect our share?”
  • “How did access changes in Q3 shift market volume?”
  • “Did payer policy updates impact initiation trends?”
Use-Case 2: Campaign Evaluation
  • “What was the causal lift of our speaker program series?”
  • “Did rep frequency increase adherence?”
  • “What’s the effect of our digital campaign on new starts?”
Use-Case 3: Market Access & Policy Assessment
  • “What’s the ROI of recent formulary wins?”
  • “Did policy updates create geographic disparities?”
  • “Which accounts show the highest access-related sensitivity?”
Causal Inference Agent

WHY ORCANA IS THE BEST

CATEGORY

Off-the-Shelf (Databricks Causal Libs, Consulting)

Orcana Advantage

Inconsistent manual modeling

Automated, validated causal frameworks

RELIABILITY

Off-the-Shelf (Databricks Causal Libs, Consulting)

Orcana Advantage

Inconsistent manual modeling

Automated, validated causal frameworks

DOMAIN FIT

Off-the-Shelf (Databricks Causal Libs, Consulting)

Orcana Advantage

Ignores pharma confounders

Models payer mix, lag, territory variance

EXPLAINABILITY

Off-the-Shelf (Databricks Causal Libs, Consulting)

Orcana Advantage

Technical metrics only

Plain-English attribution summaries

ACTIONABILITY

Off-the-Shelf (Databricks Causal Libs, Consulting)

Orcana Advantage

Static reports

Real-time impact quantification

ADOPTION

Off-the-Shelf (Databricks Causal Libs, Consulting)

Orcana Advantage

Niche data-science users

Designed for brand + leadership decisions

Ad hoc analytics Agent

Purpose: Instant Analytics Exploration via Natural Language

IDEAL USER PROFILES

  • Brand Managers & Commercial Analytics Leads
  • Business Analysts
  • Sales Operations Managers

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: Performance Reporting
  • “How are sales trending vs. plan for Q3 by product?”
  • “Which regions are lagging behind in prescription growth?”
  • “What’s the YTD variance by service line?”
Use-Case 2: Root Cause & Variance Analysis
  • “What’s driving the drop in patient initiations this month?”
  • “Is the revenue shortfall due to price or volume?”
  • “Which segments are underperforming after our campaign?”
Use-Case 3: Custom KPI Exploration
  • “Show share growth among top 20 community oncologists.”
  • “Which hospitals saw the biggest new patient spike last week?”
  • “What’s my ROI trend by channel over the last quarter?”
IndeSights Agent

WHY ORCANA IS THE BEST

CATEGORY

Off-the-Shelf (Snowflake Copilot, Databricks, Tableau Pulse)

Orcana Advantage

Code-gen SQL → brittle & error-prone

Validated pipelines ensure consistency

RELIABILITY

Off-the-Shelf (Snowflake Copilot, Databricks, Tableau Pulse)

Orcana Advantage

Code-gen SQL → brittle & error-prone

Validated pipelines ensure consistency

DOMAIN FIT

Off-the-Shelf (Snowflake Copilot, Databricks, Tableau Pulse)

Orcana Advantage

Generic query templates

Understands pharma schemas (HCP → hospital → claims)

EXPLAINABILITY

Off-the-Shelf (Snowflake Copilot, Databricks, Tableau Pulse)

Orcana Advantage

Raw query output only

Includes SQL lineage + narrative summary

ACTIONABILITY

Off-the-Shelf (Snowflake Copilot, Databricks, Tableau Pulse)

Orcana Advantage

One-off queries

Converts results into repeatable dashboards

ADOPTION

Off-the-Shelf (Snowflake Copilot, Databricks, Tableau Pulse)

Orcana Advantage

Analysts only

Built for business users with auditability

Anomaly detection Agent

Purpose: Proactive Detection of Data & Business Irregularities

IDEAL USER PROFILES

  • Data Science & Commercial Analytics Teams
  • Market Access & Brand Leads
  • Sales Ops and Performance Reporting Teams

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: Data Quality & Feed Integrity
  • “Are there missing claims from any major hospital accounts?”
  • “Which data sources have stopped updating this week?”
  • “Is there a lag in new prescription feeds?”
Use-Case 2: Market Performance Monitoring
  • “Why did patient initiations drop 20% in the Northeast?”
  • “Which markets show unexpected share losses?”
  • “Are there outliers in new starts or adherence metrics?”
Use-Case 3: Early Risk Detection
  • “Are formulary changes affecting access?”
  • “Which HCP segments show declining engagement?”
  • “Can I identify leading indicators of performance dip?”
Anomaly Detection Agent

WHY ORCANA IS THE BEST

CATEGORY

Off-the-Shelf (Databricks MLflow, Salesforce, Azure)

Orcana Advantage

Flags surface noise

Dual-layer detection (data + business anomalies)

RELIABILITY

Off-the-Shelf (Databricks MLflow, Salesforce, Azure)

Orcana Advantage

Flags surface noise

Dual-layer detection (data + business anomalies)

DOMAIN FIT

Off-the-Shelf (Databricks MLflow, Salesforce, Azure)

Orcana Advantage

Generic time-series models

Tailored for pharma workflows & lagged claims

EXPLAINABILITY

Off-the-Shelf (Databricks MLflow, Salesforce, Azure)

Orcana Advantage

Alerts without context

Shows causal linkage to KPIs

ACTIONABILITY

Off-the-Shelf (Databricks MLflow, Salesforce, Azure)

Orcana Advantage

Reactive after loss

Proactive early-warning system

ADOPTION

Off-the-Shelf (Databricks MLflow, Salesforce, Azure)

Orcana Advantage

Low (false positives)

High trust via precision & interpretability

Rep Buddy

Purpose: Field Intelligence & Territory Optimization

IDEAL USER PROFILES

  • Sales Representatives (Oncology, Rare Disease, Specialty)
  • District & Regional Sales Managers
  • Commercial Operations / Field Excellence Leaders

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: Prioritize Physicians for Weekly Calls
  • “Which 10 physicians in my territory are most likely to drive incremental initiations?”
  • “Which HCPs are trending upward in patient initiations?”
  • “Who has shown competitive switching behavior recently?”
Use-Case 2: Pre-Call Insights & Preparation
  • “What’s Dr. Chen’s recent prescribing trend post speaker event?”
  • “Did Dr. Patel gain new access tier approvals?”
  • “Which HCPs are due for follow-up based on formulary changes?”
Use-Case 3: Measure Call Effectiveness
  • “Which of my calls last week led to increased initiations?”
  • “What’s my average follow-up gap across top-tier HCPs?”
  • “Did my last event drive engagement across target accounts?”
Repbuddy Agent

WHY ORCANA IS THE BEST

CATEGORY

Off-the-Shelf Tools (Veeva, Salesforce, IQVIA)

Orcana Advantage

Rules-based triggers; often generic

Deterministic agentic logic trained on real rep workflows

RELIABILITY

Off-the-Shelf Tools (Veeva, Salesforce, IQVIA)

Orcana Advantage

Rules-based triggers; often generic

Deterministic agentic logic trained on real rep workflows

DOMAIN FIT

Off-the-Shelf Tools (Veeva, Salesforce, IQVIA)

Orcana Advantage

One-size-fits-all CRM logic

Deeply tuned for pharma field dynamics (formulary wins, access tiers)

EXPLAINABILITY

Off-the-Shelf Tools (Veeva, Salesforce, IQVIA)

Orcana Advantage

Black-box “suggestions”

Every recommendation includes why it matters

ACTIONABILITY

Off-the-Shelf Tools (Veeva, Salesforce, IQVIA)

Orcana Advantage

Manual call lists

Contextual next steps with reason + timing

ADOPTION

Off-the-Shelf Tools (Veeva, Salesforce, IQVIA)

Orcana Advantage

Low rep trust

Proven POC adoption (15–20% targeting lift)

REPBUDDY AGENT

Purpose: Field Intelligence & Territory Optimization

IDEAL USER PROFILES

  • Sales Representatives (Oncology, Rare Disease, Specialty)
  • District & Regional Sales Managers
  • Commercial Operations / Field Excellence Leaders

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: Prioritize Physicians for Weekly Calls
  • “Which 10 physicians in my territory are most likely to drive incremental initiations?”
  • “Which HCPs are trending upward in patient initiations?”
  • “Who has shown competitive switching behavior recently?”
Use-Case 2: Pre-Call Insights & Preparation
  • “What’s Dr. Chen’s recent prescribing trend post speaker event?”
  • “Did Dr. Patel gain new access tier approvals?”
  • “Which HCPs are due for follow-up based on formulary changes?”
Use-Case 3: Measure Call Effectiveness
  • “Which of my calls last week led to increased initiations?”
  • “What’s my average follow-up gap across top-tier HCPs?”
  • “Did my last event drive engagement across target accounts?”
Repbuddy Agent

WHY ORCANA IS THE BEST

CATEGORY

Off-the-Shelf Tools (Veeva, Salesforce, IQVIA)

Orcana Advantage

RELIABILITY

Rules-based triggers; often generic

Deterministic agentic logic trained on real rep workflows

DOMAIN FIT

One-size-fits-all CRM logic

Deeply tuned for pharma field dynamics (formulary wins, access tiers)

EXPLAINABILITY

Black-box “suggestions”

Every recommendation includes why it matters

ACTIONABILITY

Manual call lists

Contextual next steps with reason + timing

ADOPTION

Low rep trust

Proven POC adoption (15–20% targeting lift)

AD HOC ANALYTICS AGENT (INDESIGHTS)

Purpose: Instant Analytics Exploration via Natural Language

IDEAL USER PROFILES

  • Brand Managers & Commercial Analytics Leads
  • Business Analysts
  • Sales Operations Managers

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: Performance Reporting
  • “How are sales trending vs. plan for Q3 by product?”
  • “Which regions are lagging behind in prescription growth?”
  • “What’s the YTD variance by service line?”
Use-Case 2: Root Cause & Variance Analysis
  • “What’s driving the drop in patient initiations this month?”
  • “Is the revenue shortfall due to price or volume?”
  • “Which segments are underperforming after our campaign?”
Use-Case 3: Custom KPI Exploration
  • “Show share growth among top 20 community oncologists.”
  • “Which hospitals saw the biggest new patient spike last week?”
  • “What’s my ROI trend by channel over the last quarter?”
IndeSights Agent

WHY ORCANA IS THE BEST

CATEGORY

Off-the-Shelf (Snowflake Copilot, Databricks, Tableau Pulse)

Orcana Advantage

RELIABILITY

Code-gen SQL → brittle & error-prone

Validated pipelines ensure consistency

DOMAIN FIT

Generic query templates

Understands pharma schemas (HCP → hospital → claims)

EXPLAINABILITY

Raw query output only

Includes SQL lineage + narrative summary

ACTIONABILITY

One-off queries

Converts results into repeatable dashboards

ADOPTION

Analysts only

Built for business users with auditability

ANOMALY DETECTION AGENT

Purpose: Proactive Detection of Data & Business Irregularities

IDEAL USER PROFILES

  • Data Science & Commercial Analytics Teams
  • Market Access & Brand Leads
  • Sales Ops and Performance Reporting Teams

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: Data Quality & Feed Integrity
  • “Are there missing claims from any major hospital accounts?”
  • “Which data sources have stopped updating this week?”
  • “Is there a lag in new prescription feeds?”
Use-Case 2: Market Performance Monitoring
  • “Why did patient initiations drop 20% in the Northeast?”
  • “Which markets show unexpected share losses?”
  • “Are there outliers in new starts or adherence metrics?”
Use-Case 3: Early Risk Detection
  • “Are formulary changes affecting access?”
  • “Which HCP segments show declining engagement?”
  • “Can I identify leading indicators of performance dip?”
Anomaly Detection Agent

WHY ORCANA IS THE BEST

CATEGORY

Off-the-Shelf (Databricks MLflow, Salesforce, Azure)

Orcana Advantage

RELIABILITY

Flags surface noise

Dual-layer detection (data + business anomalies)

DOMAIN FIT

Generic time-series models

Tailored for pharma workflows & lagged claims

EXPLAINABILITY

Alerts without context

Shows causal linkage to KPIs

ACTIONABILITY

Reactive after loss

Proactive early-warning system

ADOPTION

Low (false positives)

High trust via precision & interpretability

MICROSEGMENTATION AGENT

Purpose: Intelligent Audience Segmentation for Targeting & Personalization

IDEAL USER PROFILES

  • Brand Managers / Marketing Analytics Teams
  • Customer Engagement & Omnichannel Leads
  • Field Planning & Targeting Teams

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: HCP Segmentation
  • “Which HCPs have high initiation but low adherence?”
  • “Who responds best to peer-to-peer programs?”
  • “What are the behavioral patterns of top prescribers?”
Use-Case 2: Hospital & Account Clustering
  • “Which hospitals serve similar patient cohorts?”
  • “How can we cluster accounts based on access dynamics?”
  • “Where are our top-performing facilities by adherence?”
Use-Case 3: Campaign Personalization
  • “Which segments should receive digital reminders?”
  • “Where should we deploy speaker programs for max impact?”
  • “Which HCP cluster is most likely to adopt after access wins?”
Microsegmentation Agent

WHY ORCANA IS THE BEST

CATEGORY

Off-the-Shelf (IQVIA, McKinsey, Databricks)

Orcana Advantage

RELIABILITY

One-time clustering, no QA

Continuous, auto-validated segmentation refresh

DOMAIN FIT

Generic demographic inputs

Uses claims, access, specialty mix, patient volume

EXPLAINABILITY

“Cluster 1 / Cluster 2”

Human-readable segments (e.g., “High-initiation, low-adherence Oncologists”)

ACTIONABILITY

PowerPoint output only

Directly feeds GTM and campaign planning

ADOPTION

Data-science heavy

Business-friendly interface, automated storytelling

Causal Inference Agent

Purpose: Quantify True Impact of Commercial Events

IDEAL USER PROFILES

  • Brand Strategy & Insights Teams
  • Market Access & Competitive Intelligence Leaders
  • Commercial Data Science Groups

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: Competitive Event Impact
  • “Did Competitor X launch affect our share?”
  • “How did access changes in Q3 shift market volume?”
  • “Did payer policy updates impact initiation trends?”
Use-Case 2: Campaign Evaluation
  • “What was the causal lift of our speaker program series?”
  • “Did rep frequency increase adherence?”
  • “What’s the effect of our digital campaign on new starts?”
Use-Case 3: Market Access & Policy Assessment
  • “What’s the ROI of recent formulary wins?”
  • “Did policy updates create geographic disparities?”
  • “Which accounts show the highest access-related sensitivity?”
Causal Inference Agent

WHY ORCANA IS THE BEST

CATEGORY

Off-the-Shelf (Databricks Causal Libs, Consulting)

Orcana Advantage

RELIABILITY

Inconsistent manual modeling

Automated, validated causal frameworks

DOMAIN FIT

Ignores pharma confounders

Models payer mix, lag, territory variance

EXPLAINABILITY

Technical metrics only

Plain-English attribution summaries

ACTIONABILITY

Static reports

Real-time impact quantification

ADOPTION

Niche data-science users

Designed for brand + leadership decisions

MARKETING MIX AGENT

Purpose: Optimize Promotional Investments with Always-On MMM

IDEAL USER PROFILES

  • Marketing & Brand Leaders
  • Omnichannel Optimization Teams
  • Commercial Effectiveness Groups

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: Channel ROI Measurement
  • “Which channels delivered the highest ROI last quarter?”
  • “How effective were speaker programs vs rep calls?”
  • “What’s the digital engagement return vs cost?”
Use-Case 2: Budget Optimization
  • “Where should we reallocate next quarter’s spend?”
  • “What’s the marginal ROI of adding more speaker programs?”
  • “How can I maximize $5M marketing budget by region?”
Use-Case 3: Forecasting & Simulation
  • “What will ROI look like if we double digital investment?”
  • “How will reducing rep calls affect conversions?”
  • “Which region offers best incremental return on promotion?”
Marketing Mix Agent

WHY ORCANA IS THE BEST

CATEGORY

Off-the-Shelf (IQVIA MMM, Databricks Pipelines)

Orcana Advantage

RELIABILITY

Quarterly/annual updates

Continuous MMM refresh from new data feeds

DOMAIN FIT

Generic media inputs

Includes rep calls, speaker events, digital touches

EXPLAINABILITY

Black-box regression

Transparent ROI curves with clear levers

ACTIONABILITY

PowerPoint output

Budget shift recommendations + scenario modeling

ADOPTION

Consulting bottleneck

Self-serve & real-time for brand teams

NEXT BEST ACTION AGENT

Purpose: Intelligent, Dynamic Field Recommendations

IDEAL USER PROFILES

  • Sales Representatives & District Managers
  • Field Force Effectiveness & CRM Leads
  • Omnichannel Coordinators

USE-CASES & SAMPLE QUESTIONS

Use-Case 1: HCP Call Prioritization
  • “Which physicians should I visit tomorrow and why?”
  • “Who recently gained Tier 2 access or had a formulary change?”
  • “Who’s trending upward in new patient initiations?”
Use-Case 2: Post-Campaign Engagement
  • “Which HCPs engaged digitally after our email campaign?”
  • “Who attended speaker programs and hasn’t been followed up?”
  • “Which segment needs reinforcement messaging?”
Use-Case 3: Access-Aware Next Steps
  • “Who just became eligible for our brand after a policy update?”
  • “Which HCPs are at risk of losing access?”
  • “Where should I focus to maximize reach under new access rules?”
Next Best Action Agent

WHY ORCANA IS THE BEST

Category

Off-the-Shelf (Veeva Einstein, Salesforce CRM AI)

Orcana Advantage

Reliability

Rule-based triggers

Contextual agentic pipeline integrating real-time events

Domain Fit

Generic CRM scoring

Pharma-specific variables: access, initiation, adherence

Explainability

“Do this” with no why

Each action includes reason & expected impact

Actionability

Static task lists

Dynamic, priority-ranked action plan

Adoption

Low (ignored by reps)

High — trusted by reps via transparent logic

CONFIGURABLE ARCHITECTURE ENABLES AGENTIC
DEPLOYMENT ACROSS USE-CASES

CONFIGURABLE ARCHITECTURE ENABLES AGENTIC
DEPLOYMENT ACROSS USE-CASES

Agent name
Project types ->
Commercial
Pharma Operations

Call-planning, Targeting, Pre-call prep, Post-call logging, Next best engagement (NBE), Event / Speaker Program Analytics, Sampling and Promotional Effectiveness

Home-office
Analytics

Payer analytics, Customer analytics, Marketing analytics, Sales analytics, Forecasting and Planning, Portfolio Analytics

Advanced
Data-science

Segmentation, MMx, NBE Design, Test-control analysis, KOL clustering, Event ROI Analysis, Test-Control Analysis, Predictive Modeling, Causal Analysis, Optimization and Simulation

1. Rep Buddy Agent

2. Ad hoc Analytics Agent

3. Anomaly Detection Agent

4. Microsegmentation Agent

5. Causal Inference Agent

6. Marketing Mix Agent

7. Next Best Action (NBA) Agent