Pharma and life sciences
AI automation agency for pharma and life sciences
We build AI automation for pharma and life sciences companies whose commercial, market access and medical affairs teams spend too much time stitching data together. Our team has a deep background in pharma commercial analytics, so we start from the systems you already run, such as Veeva CRM, Veeva Vault, IQVIA data feeds and specialty pharmacy and hub data, and automate the reporting, targeting and document work around them.
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Quick answer
How can AI automation help pharma commercial teams?
AI automation helps pharma commercial teams by loading and checking IQVIA, specialty pharmacy and hub data automatically, refreshing HCP targeting and Veeva CRM call plans, and updating brand dashboards after each data load. AI agents can also draft medical information responses and summarize MSL insights, with people reviewing every output before use.
- Weekly IQVIA and SP data loads can be validated and loaded without manual workbook rebuilds
- HCP targets and call plans are refreshed and formatted for a Veeva CRM load
- GxP-scope workflows include audit trails, change control and test evidence for your quality team
- Potential adverse events found by AI agents are routed to pharmacovigilance with human review
01
Where pharma commercial operations lose the most time
Commercial operations and analytics teams at specialty pharma and emerging biotech companies sit between a growing list of data vendors and a field force that wants answers by Monday. Most of the week goes to receiving files, checking them, mapping identifiers and rebuilding the same reports.
The work is skilled but repetitive, and it tends to grow with every new launch, indication or data vendor added to the stack.
- Loading weekly IQVIA prescription data (such as NPA and Xponent) and aligning it to territories and ZIP-to-territory files
- Reconciling specialty pharmacy and hub data (status codes, referrals, shipments and patient journey events) across several SPs
- Refreshing HCP targeting, deciling and call plans each cycle and pushing them back into Veeva CRM
- Building field reports, incentive compensation inputs and brand team decks by hand
- Routing medical information requests and preparing content for MLR review in Veeva Vault PromoMats
02
Pharma commercial analytics automation we build
We usually begin with the data pipeline, because every downstream report depends on it. Vendor files land in a governed location, get validated against expected row counts, date ranges and master data, and load into your warehouse (often Snowflake, Databricks or a cloud SQL database) with a log of what ran and what failed.
On top of that pipeline we build the dashboards and outputs your teams actually use: weekly brand performance in Power BI, SP and hub funnel views, territory scorecards for field leadership and refreshed target lists formatted for a Veeva CRM load. The goal is that a data analyst reviews exceptions instead of rebuilding the same workbook every week.
WHAT WE BUILD
What we automate for pharma & life sciences
Typical automations, each scoped and quoted at a fixed price after a free review.
Syndicated data ingestion and QC
Picks up weekly IQVIA and other vendor files from SFTP, checks row counts, dates and identifiers, loads them into Snowflake or Databricks and alerts the team to anomalies.
Specialty pharmacy and hub data reconciliation
Standardizes status codes from multiple SPs and the hub into one patient journey view and flags stalled referrals, prior authorization delays and abandoned shipments.
HCP targeting and call plan refresh
Recalculates deciles and segments from new prescription data, applies business rules and produces a Veeva CRM-ready file of targets and call plan changes for review.
Brand and field performance dashboards
Builds Power BI dashboards for brand teams and field leadership that refresh automatically after each data load, down to region and territory.
Medical information request triage
An AI agent classifies incoming inquiries, matches approved response documents in Veeva Vault and drafts a reply for a medical information specialist to approve.
MSL insight summaries
Summarizes field medical notes into recurring themes by therapeutic area and region so medical affairs leaders can review insights without reading every entry.
Incentive compensation data prep
Assembles sales credit, territory alignment and goal files for the IC cycle and produces exception reports before results go to the field.
03
AI agents for pharma and medical affairs
AI agents help where people read and sort large volumes of text. A medical information agent can classify incoming inquiries, find approved standard response documents in Veeva Vault MedComms and draft a response for a medical information specialist to review. An agent can also summarize field medical insights from MSL notes into themes for the medical affairs team.
On the commercial side, agents can draft pre-call summaries for reps from CRM history and approved content, or flag hub cases that have stalled at benefits verification or prior authorization. Agents do not approve promotional content, give medical advice or report adverse events on their own. Anything that looks like a potential adverse event or product complaint is routed to your pharmacovigilance process with a human in the loop.
04
GxP, 21 CFR Part 11 and data privacy
Commercial analytics is usually outside GxP scope, but medical, quality and regulatory work often is not. Where a workflow touches GxP records or electronic signatures under 21 CFR Part 11, we design with your computer system validation (CSV) approach in mind: documented requirements, version-controlled code, change control, audit trails and test evidence your quality team can review. Your quality and compliance teams decide validation scope and sign off. We do not claim compliance on your behalf.
We also respect the limits in your data licenses (IQVIA and other vendors restrict how data is used and shared), HIPAA where patient-level hub or SP data is involved, and state rules on HCP data. Data stays in accounts and tenants you own, with SSO, role-based access and AI providers configured not to train on your data.
05
Tools we connect for life sciences teams
We work with the systems common in pharma commercial and medical operations: Veeva CRM and Veeva Vault, IQVIA and other syndicated data, specialty pharmacy and hub data feeds, Salesforce Life Sciences Cloud, and warehouses such as Snowflake and Databricks. Where a vendor only delivers flat files over SFTP, we automate the pickup and validation.
Workflows run in n8n, Azure or AWS services or custom Python, depending on what your IT and security teams already approve. We expect vendor security reviews and work within them.
06
How a project works and what it costs
We start with a free review: a walkthrough of one workflow end to end, such as the weekly IQVIA load and brand report, or how SP data reaches your field team. You then receive a fixed-price quote split into stages. Most projects take 1 to 8 weeks, with validated or GxP-adjacent work typically at the longer end because of documentation and testing.
Each stage ships something usable, and your company owns every account, pipeline and line of code. That matters when you change data vendors, CRM platforms or agencies of record.
TOOLS
Tools we connect
FAQ
AI automation for Pharma & Life Sciences questions
How is AI used in pharma commercial operations?
AI is typically used to automate data ingestion and QC, refresh HCP targeting and call plans, summarize CRM and MSL notes, and draft responses to medical information requests. People still review outputs, approve content and own decisions that affect HCPs or patients.
Can you automate IQVIA data processing?
Yes, within the terms of your data license. We automate file pickup, validation, territory alignment and loading into your warehouse, then refresh the reports that depend on it. Your team reviews exceptions instead of rebuilding workbooks each week.
Do you work with Veeva CRM and Veeva Vault?
Yes. We build integrations that read from and write to Veeva CRM, for example target lists and call plans, and work with Vault content for medical information and promotional review workflows. We are not a Veeva partner, and the approach depends on your org's setup and API access.
Is AI automation compliant with GxP and 21 CFR Part 11?
Automation can be built to support a validated environment with audit trails, access controls, change control and test documentation. Whether a system is in scope and validated is decided by your quality team. We provide the evidence they need but do not certify compliance.
Can automation help with specialty pharmacy and hub data?
Yes. Different SPs and hubs report statuses in different formats. Automation can standardize them into one patient journey view, flag stalled cases and feed dashboards for market access and patient services teams, while respecting HIPAA and data use agreements.
How much does pharma automation cost?
We give a fixed quote after a free review. A single data pipeline and dashboard can take two to three weeks, while work that needs GxP documentation or several data vendors typically takes six to eight weeks.
GET A FREE PROPOSAL
Tell us what you want automated
Describe the process that eats your team's week. We reply within one business day with a first take on what can be automated, which tools fit and roughly what it would cost.
- Free 30-minute automation review
- Fixed quote before any work starts
- You own every workflow, account and line of code