From Day One to Ongoing Insight Delivery

Most consulting engagements start with three weeks of alignment meetings before anyone looks at the data. Ours don't. We've built a delivery model that gets to value fast — because we already understand the commercial landscape, the data environment and the business questions before you brief us.

Competitive intelligence in pharma isn't just about tracking trial registries. It's about understanding what your competitors are doing commercially — their messaging, their pipeline priorities, their IR narrative, their conference presence, their regulatory moves — and connecting all of that into a coherent picture your brand team can actually act on. IntelXion™ is the platform that makes that possible. It continuously monitors six pillars of competitive intelligence, processes signals through a combination of NLP and large language models, and delivers structured intelligence in hours — not days or weeks.

How It Works

Step 01

Discovery & Scoping [1-2 weeks]
We start by understanding your commercial challenge, your data environment and the decisions you're trying to make. Not a generic discovery process — a focused conversation with a senior pharma commercial expert who has likely worked on the same problem before.

  • Stakeholder interviews with your commercial team
  • Data environment assessment: what you have, what you need
  • KPI definition and success metric alignment
  • Engagement scope and timeline confirmation
  • Deliverable: Scoping document and data requirements specification
Step 02

Data Connection [1-2 weeks]
We connect to your data sources and set up the analytics environment. No six-month data migrations. We work with what you have — Veeva CRM, IQVIA, Symphony, specialty pharmacy feeds, wholesaler data, internal databases.

  • Data integration: IQVIA, Symphony, Veeva, SP, claims
  • Data quality review and baseline benchmarking
  • Analytics environment setup — cloud, on-premise or hybrid
  • Deliverable: Connected data environment and baseline analysis
Step 03

Analytics & Models [2-4 weeks]
We build the analytics models and activate the right AI accelerators for your use case. Segmentation models, IC diagnostics, CI monitoring setup, forecasting frameworks — whatever the engagement calls for.

  • Segmentation, propensity and scoring models
  • IC quota and performance models where applicable
  • CI monitoring setup where applicable
  • Forecasting and scenario planning models
  • Deliverable: Validated models and initial insight report
Step 04

Insights & Delivery [Weeks 4-8]
Dashboards, reports, executive presentations and field-ready outputs. We deploy into your existing environment — Power BI, Tableau, Veeva — and train your team on how to use what we built.

  • Dashboard deployment in your chosen environment
  • Executive presentations and brand team briefings
  • Field-ready outputs: call plans, target lists, IC statements
  • Alert setup and ongoing monitoring activation
  • Deliverable: Live dashboards, insight reports and monitoring alerts
Step 05

Ongoing Partnership [Continuous]
We don't disappear after delivery. We stay engaged as your commercial intelligence partner — monthly and quarterly refresh cycles, mid-cycle updates when conditions change, new capability additions as your needs evolve. And direct access to senior pharma commercial experts, always.

This is the model we'd want if we were on the client side. So it's the model we built.

Engagement Modal

01

Project-Based

Focused deliverable. Clear scope. Fixed timeline. Best for IC diagnostics, CI landscapes, targeting reviews.

02

Retainer

Ongoing analytics partnership. Monthly deliverables. Flexible scope. Best for CI monitoring, IC operations, reporting.

03

Embedded Team

Dedicated analyst in your team. Full-time support. Best for large commercial ops, launch programs, multi-capability needs.