Why Most Salesforce Implementations in Pharma Fail

Why Some Pharma Companies’ Salesforce Implementations Fall Short and How to Make Sure Yours Doesn’t

Salesforce has a lot of potential for life sciences companies, including a full view of HCPs, faster patient engagement, workflows that are ready for compliance, and powerful analytics.

Despite these advantages, many Salesforce implementations in pharma and biotech don’t work as well as they should or don’t work at all.

So, what goes wrong?

The platform isn’t the only problem in industries with many rules, like life sciences. There is often a mismatch between what technology can do, what the law says, and what happens in real life. When Salesforce is put into use without a plan based on these three pillars, it costs more money than it makes as a strategic asset.

In this article, we talk about the most common problems that pharmaceutical companies run into when they use Salesforce and give them a useful, compliance-aware plan for success.

Not realising complications of regulations

A lot of system integrators think of Salesforce as a “plug-and-play” solution. It’s anything but that in the pharmaceutical industry.

When putting in a CRM in this area, you should think about:

• Rules for electronic records and signatures.
• HIPAA rules for patient information.
• GDPR or laws about where data can be stored in a region for global operations.
• GxP effects on change control, audit trails, and validation requirements.  

If you don’t build these into the core architecture, you’ll have to find workarounds, do extra work, or worse, break the rules.

The Fix:
Pick partners like Newpage Solutions who know more about pharmaceuticals than just Salesforce. From Day 1, compliance should be on your to-do list, not just something you add at UAT.

Trying to “Lift and Shift” Generic Salesforce Modules

A lot of life sciences teams try to use Sales Cloud or Service Cloud templates again with very little customisation. This method doesn’t always take into account the specific needs of MSLs, field medical teams, and pharmacovigilance workflows.

For instance, MedInfo requests need standard triage, routing, and approval flows that aren’t there in vanilla Service Cloud. Medical Affairs teams need more than just the default contact object to get detailed HCP profiles.

Field reps need to keep track of their activities in a way that is compliant with the rules in their areas.

User adoption drops and compliance risk goes up without a customised data model and process design.

The Fix: Don’t just let IT design your Salesforce instance; let domain stakeholders do it too. With help from medical, regulatory, and commercial excellence teams, make personas and workflows together.
Check: Newpage Solutions’ Salesforce Expertise

Too much engineering without a clear return on investment

Some pharmaceutical companies go to the other extreme in an effort to “do it right”: they create bloated blueprints, do endless integrations, and add gold-plated features that slow down go-lives.

We’ve seen implementations take 6–12 months to customise features like omnichannel chatbots or Einstein Analytics, only to find out after the launch that HCP onboarding and MedInfo routing weren’t working properly.

The Fix: Tie each feature to a business key performance indicator (KPI). Begin small and then grow. A sprint-based method that focuses on measurable ROI makes sure you build the most important things first.

Bad data hygiene and management

People often forget about the data foundation when they think about AI readiness. Data that is dirty, siloed, or missing makes automation, reporting, and agent enablement harder.

Some of the problems are:

• Duplicate records in HCP databases
• Product taxonomy that isn’t consistent
• Free-text notes that AI can’t read
• Different systems of record for different functions

Even the best CRM turns into a fancy Rolodex if there isn’t a clear way to govern it and take care of the data.

The Fix: Before any AI agent or automation layer, make sure your data is ready. Use standards like SNOMED, HL7, and UMLS to clean, add, and organise your data. Start using MDM right away.

Not caring about the user experience (especially for field teams)

Your backend can be as advanced as you want, but if your field teams dislike the UI, they won’t use it.

People often say, “It takes four clicks to log a call.”

“I can’t see past engagements on my phone.”

“Three tabs hide approvals.”

When users are frustrated, they don’t collect data well, don’t report it all, and don’t make accurate predictions.

The Fix: Treat users like they are customers. Hold design workshops. Watch how reps really do their jobs in the field. Make interfaces that work best on mobile devices. After launch, add feedback loops.

Picking the Wrong Partner for Implementation

Many drug companies pick implementation partners based only on price or Salesforce certifications. But regulated environments need more.

You need a partner who gets it:

• Protocols for validation and documentation
• Models for managing territory
• Patterns for integrating with Veeva, SAP, or Argus
• How to turn rules and regulations into system needs

The Fix: When choosing a partner, ask the tough questions:

• Have you ever used Salesforce in a regulated industry setting?
• How do you validate?
• Can you show proof that pharma go-lives have worked?

We call this “regulatory empathy” at Newpage, and it’s not up for debate.

Not paying attention to change management

A lot of the time, the technology works, but people aren’t ready.

Field reps don’t want to change their workflows. The Med-affairs team doesn’t know how to use dashboards. IT has too many support tickets to handle. It’s not a technical problem; it’s an organisational one.

The Fix: Plan ahead for change management costs. Create paths for different personas to get help. Think of training as something that constantly happens, not just once. Celebrate small victories to get things going.

Bonus Mistake: Not Making Plans for AI Agents

Many pharmaceutical companies want to automate case routing, HCP queries, and MedInfo support now that Salesforce has released AgentForce 2.0. But automation only makes the good things bigger or the bad things worse.

People often forget that AI agents are only as effective as the data, rules, and processes they get from other systems. Adding AI on top of a shaky CRM foundation only makes things more confusing.

For instance, if the product taxonomy is out of date, an AI agent can’t route a MedInfo case correctly.

An AI agent cannot assist a field representative if the territory alignments are incorrect or absent.

Also, it can’t bring up insights if the call notes aren’t organised and easy to find.

Solution: To prepare your Salesforce instance for AI agents, approach each automation candidate as if it were a new employee: train, test, monitor its impact, and continuously enhance it. Set up backup plans and human-in-the-loop reviews for important choices like how to handle adverse events. 

The Newpage Way: Smart Platforms, Pharma-First, People-First

We don’t consider Salesforce to be a tech implementation at Newpage. We view Salesforce as an integral part of our business transformation, particularly in the pharmaceutical industry where compliance and flexibility are essential.

This is what makes our method different:

Architecture that is aware of compliance

We check each module, object, and field to make sure they are ready for GxP and an audit. We write down our design choices, validation steps, and access controls ahead of time so that they can be checked.

Scalability for the Future

We think about how to make things modular when we build. Want to add AgentHub or connect a third-party NLP tool later? No need to redesign; just plug in and add on.

ROI Loops that repeat

We focus on phased delivery: get one team up and running, see what happens, get feedback, and then grow. The next phase pays for the last one.

Designing for AI Enablement

We help organisations safely and effectively adopt AI, not as a trend but as a tool. This includes checking data readiness and quickly engineering GenAI copilots.

Last Word: You Should Expect More From Your CRM

Things are changing in the life sciences. Salesforce is no longer just a tool for sales; it’s the digital nervous system of your business.

If you’re going to put money into it, do it wisely.

Make a plan based on your area of expertise. Keep compliance in mind when you design. Pick partners who can talk to you in more than just code. And most importantly, keep in mind that in pharma, good tech is only good if people understand it, use it, and can check it.

Your Salesforce instance can either be a problem or your greatest asset. The way you build it is what makes it different.

Newpage can help you make it the second.