Pharmaceuticals
Release batches faster. Reduce review hours. Protect margin without adding headcount.
Your QA, regulatory, supply chain, and commercial teams should not be spending their week chasing SOP references, rebuilding batch status trackers, copying data between systems, or digging through old deviation files.
MVP.dev builds AI automation systems for pharmaceutical companies that plug into the tools you already use, including Veeva Vault, Veeva CRM, MasterControl, TrackWise Digital, ETQ Reliance, SAP S/4HANA, Oracle, NetSuite, QAD, LabWare LIMS, STARLIMS, Benchling, Dotmatics, Werum PAS-X, Rockwell PharmaSuite, Kinaxis, and TraceLink.
We help pharma teams reduce manual review, speed up batch and quality workflows, improve supplier diligence, and give experienced people back the time they need for higher-value work.
Production-ready in 3 to 4 weeks.
Get a Workflow Fit Assessment See the Pharmaceuticals Automation DemosBuilt for pharma teams where the work is growing faster than clean capacity
This is for pharmaceutical manufacturers, specialty pharma companies, CDMOs, virtual pharma teams, clinical-stage companies, QA groups, regulatory teams, supply chain operators, and commercial teams that already have systems in place but still rely on too much manual coordination.
You are likely a strong fit if:
- Deviation, CAPA, change control, or batch release review depends on manual document hunting
- QA and regulatory teams spend too much time searching SOPs, filings, prior investigations, and training materials
- Batch status, release readiness, supplier issues, or shortage risk is tracked in spreadsheets
- Supplier qualification, CMO oversight, or vendor review still happens through email and shared folders
- Your team uses Veeva, MasterControl, TrackWise, SAP, Oracle, LIMS, MES, or similar pharma systems
- You want better workflows around your current stack, not a disruptive system migration
If your team is already under pressure from release timelines, compliance workload, supply volatility, and lean staffing, there is almost certainly time and margin trapped inside the workflow.
The fastest wins we usually find
Deviation and CAPA review without document hunting
Senior QA people should not spend hours searching SOPs, prior deviations, batch records, and investigation notes before they can make a decision.
We build cited retrieval workflows that let QA, manufacturing, and regulatory users ask plain-English questions across approved SOPs, deviation history, CAPA records, validation documents, and training materials.
The goal is simple:
- Find the right source quickly
- Show the exact document trail
- Surface similar prior events
- Draft investigation context for human review
For many teams, this can recover 8 to 15 QA hours per week and cut deviation packet prep time by 20 to 30 percent, depending on volume and document quality.
See the Cited Knowledge Demo →Batch release and quality status visibility
Release delays often start as visibility problems. One team is waiting on test results, another is waiting on QA review, and leadership sees the issue too late.
We build operational dashboards that pull from LIMS, MES, QMS, ERP, spreadsheets, and release trackers to show where batches are stuck, what is aging, and which actions need attention.
Each update can show:
- Batches ready for review
- Open deviations blocking release
- COA or lab result status
- Aging QA tasks
- Weekly release risk summary
The goal is not another dashboard. The goal is fewer surprise delays, faster handoffs, and 5 to 10 hours a week saved on manual status reporting.
See the Executive Dashboard Demo →Supplier, CMO, and vendor diligence before risk becomes expensive
A bad supplier decision can cost more than a late invoice. It can create release delays, quality events, shortage risk, and painful remediation work.
We build diligence workflows that review supplier files, quality agreements, audit history, open CAPAs, purchase history, pricing changes, and contract terms before approvals or renewals move forward.
Your team gets a clear answer:
- Is this supplier approved and current?
- Are quality agreements or audits missing?
- Are there open issues that should block approval?
- Is the price, term, or volume unusual?
This turns supplier review from a manual scramble into a repeatable control, with a one-page review memo and escalation path.
See the Vendor Diligence Demo →Regulatory, medical, and quality support replies with sources
Teams lose hours answering the same internal questions about SOPs, labeling, batch status, product data, stability windows, and approved language.
We build support workflows that classify requests, retrieve approved content, draft replies, cite the source material, and escalate anything sensitive to the right reviewer.
Every answer can include:
- Approved source references
- Confidence level
- Suggested response
- Escalation reason when needed
- Full review trail
This can reduce first-draft response time from 30 to 45 minutes to under 5 minutes for common questions, while keeping human review where it matters.
See the Support Agent Demo →Your current tools stay in place
We build the workflow layer around your existing pharmaceutical operating environment.
Supported and common systems include:
Your QMS stays where it is. Your LIMS, MES, ERP, regulatory vault, and CRM stay where they are. Your staff keeps using the systems they already know.
We add the workflow layer that reads, routes, reviews, summarizes, and writes back only where appropriate and approved.
Three focused offers
Quality Review Acceleration System
For teams losing too many hours to deviation, CAPA, change control, and batch release review.
Includes
- Quality workflow mapping
- SOP and controlled document indexing
- Deviation and CAPA source retrieval
- Similar-event lookup
- Human review queues
- Release blocker dashboards
- Audit-ready workflow documentation
Best for
- QA teams
- Manufacturing quality groups
- CDMOs
- Teams with aging deviation backlogs
Supplier and CMO Control System
For companies managing supplier qualification, CMO oversight, quality agreements, and vendor approvals through messy manual processes.
Includes
- Supplier file intake
- Quality agreement review
- Audit and CAPA status checks
- Contract and PO comparison
- Risk scoring
- Approval routing
- One-page diligence memos
- Audit logs
Best for
- Supply chain teams
- Procurement teams
- Quality supplier management
- Virtual pharma companies
- CDMO-heavy operating models
Batch, Quality, and Supply Dashboard System
For operators who need faster visibility across release status, lab results, open quality events, and supply risk.
Includes
- Batch release dashboards
- LIMS, MES, ERP, and QMS data views
- Aging task summaries
- Weekly risk narratives
- Shortage and backorder alerts
- Leadership-ready status summaries
- Role-based reporting views
Best for
- Operations leaders
- QA leadership
- Supply chain teams
- Manufacturing sites
- Companies managing multiple products or CMOs
Start with one workflow. Prove the ROI. Expand from there.
You do not need a full AI transformation project to get value.
The safest path is to pick one painful workflow, improve it, measure the results, and then expand once the system proves itself.
Most pharma teams start with one of these:
- Deviation and CAPA document retrieval
- Batch release status reporting
- Supplier and CMO diligence
- Regulatory or quality knowledge retrieval
- Medical or internal support request drafting
- Change control intake and routing
This keeps the first project focused, measurable, and easier to approve.
Typical engagement range
Most pharmaceutical workflow builds start with a focused pilot.
Starter Workflow Pilot
Best for one high-value workflow
$7,500 to $15,000
Pharma Workflow Buildout
Best for multiple workflows, cross-functional data, or multi-site operations
$15,000 to $40,000
Ongoing Optimization and Support
Best for teams that want continuous improvement, reporting, new workflows, and support
$1,500 to $7,500 per month
Final pricing depends on workflow count, system access, document quality, validation expectations, approval rules, compliance needs, and whether the workflow writes back into production systems.
The first step is not a giant commitment. It is a workflow fit assessment that identifies the fastest path to measurable ROI.
What waiting costs
Manual pharma workflows do not just waste time. They slow decisions, hide risk, and create capacity ceilings.
Every month you delay:
- QA specialists spend time searching documents instead of closing issues
- Batch release blockers are found later than they should be
- Regulatory and quality answers depend on who remembers where the file lives
- Supplier risk is reviewed inconsistently
- Leaders rely on stale spreadsheets for release and supply status
- Growth requires more coordinators instead of better operating leverage
If your team is already stretched, better workflows are not a luxury project. They are how you create capacity without simply adding headcount.
How the engagement works
Week 1: Find the highest-value leak
We review your quality process, batch release workflow, supplier diligence process, regulatory support flow, or internal knowledge retrieval process.
You get:
- Workflow map
- Automation opportunity ranking
- KPI targets
- Fixed-scope recommendation
- Implementation plan
We define success before building anything.
Week 2: Build against your real workflow
We connect to the systems, documents, exports, SOPs, supplier files, batch trackers, or quality records needed for the selected workflow.
We build around your actual process, not a generic pharma template.
Week 3: Test, tune, and review
We run real historical examples through the workflow in staging. For quality workflows, this can include prior deviations, CAPAs, change controls, SOPs, and release packets so the system can be tested against known outcomes.
You see:
- Accuracy results
- Exceptions
- Failure cases
- Confidence thresholds
- Review queue behavior
- Estimated time savings
Nothing goes live until the workflow is validated against your operating rules.
Week 4: Deploy, monitor, and support
We deploy the workflow, train the relevant users, monitor initial results, and support the first production cycle.
You get:
- Production workflow
- Dashboard or review queue
- Documentation
- Admin handoff
- 30 days of support
- Recommendations for the next workflow
Most builds are designed to pay back in 6 to 8 weeks of live use, depending on volume, labor cost, workflow scope, and how much QA, regulatory, supply chain, or operations time is recovered.
Built for regulated pharmaceutical workflows
Pharmaceutical workflows have to be controlled, auditable, and reviewable.
Our systems are designed around:
- Least-privilege access
- Encrypted data in transit and at rest
- Human review thresholds
- Audit logs for AI-assisted decisions
- Source-grounded answers with document trails
- Client-owned cloud deployment when required
- Role-based access by site, function, and product
- Support for 21 CFR Part 11, GxP, GMP, and ALCOA+ data integrity expectations
For teams with FDA, EMA, GxP, GMP, 21 CFR Part 11, HIPAA, SOC, or internal validation requirements, we design the implementation around your compliance model from the start.
Example outcomes
| Workflow | Before | After |
|---|---|---|
| Deviation review | QA searches SOPs, prior deviations, and batch records manually | Cited source packet with similar events and review queue |
| Batch release tracking | Release status rebuilt from emails, spreadsheets, LIMS, MES, and QMS exports | Live blocker view with weekly leadership narrative |
| Supplier qualification | Audit status, quality agreements, and open CAPAs checked by hand | One-page diligence memo before approval or renewal |
| Regulatory knowledge retrieval | Teams hunt through filings, labeling, SOPs, and controlled documents | Cited answers from approved sources with escalation rules |
| Medical or quality support requests | Common questions answered from memory or copied from old emails | Drafted response with source trail and human approval |
Why MVP.dev
MVP.dev builds AI business operating systems, internal tools, and automation layers for companies that need real operational outcomes, not AI experiments.
You get:
- 25 years of software architecture and delivery experience
- AI automation strategy and implementation under one roof
- Practical systems built around existing workflows
- Human-in-the-loop design where accuracy matters
- Clear KPIs before development starts
- Production-minded delivery, not prototype theater
The goal is not to impress your team with AI.
The goal is to give them time back, reduce operational drag, and help the company move faster with the people and systems it already has.
Building the operating playbook too?
Our partners at osforyour.business/pharmaceuticals cover the org-design, process, and people side of running a modern pharmaceutical operation. We handle the execution layer that makes it run, so the system they help you design actually delivers the hours back.
Frequently Asked Questions
How much time or money can this save?
It depends on workflow volume, but quality review, batch status reporting, supplier diligence, and knowledge retrieval usually contain the fastest savings. A small QA or operations team may recover 8 to 15 hours per week from document search and status reporting alone. Larger teams with frequent deviations, multiple products, or CMO-heavy operations may save $2,500 to $10,000 per month in recovered labor, fewer handoff delays, and less rework. During Week 1, we define the target KPIs before the build starts.
Will this work with our QMS, LIMS, MES, ERP, or Veeva environment?
Yes. The system is built around your current tools and access rules. We can work with exports, APIs, controlled document repositories, structured data, and approved files. Common environments include Veeva Vault, MasterControl, TrackWise, LabWare, STARLIMS, SAP, Oracle, NetSuite, QAD, Benchling, and MES platforms.
Will this replace Veeva, MasterControl, TrackWise, SAP, or our LIMS?
No. The goal is to improve the workflow around your current stack, not force a migration. Your controlled documents stay in your document system. Your quality records stay in your QMS. Your lab, manufacturing, and ERP data stay where they are. The workflow layer reads, routes, summarizes, and writes back only where appropriate and approved.
Can this be used in validated or GxP workflows?
Yes, but the implementation must match your validation model. Some clients start with read-only retrieval, dashboards, and human-reviewed drafts before expanding into more controlled workflows. We can support audit logs, role-based access, source trails, change documentation, and review thresholds to align with GxP, GMP, 21 CFR Part 11, and internal quality requirements.
Is AI making quality or regulatory decisions?
No. The system can classify, recommend, retrieve, summarize, route, and prepare drafts, but review thresholds control what happens next. For regulated workflows, AI-assisted outputs should be treated as recommendations until reviewed or approved by the right person.
Can this help if our data is messy?
Usually, yes. Many pharma workflows are split across controlled systems, exports, SharePoint folders, spreadsheets, email, and institutional memory. Week 1 includes a data and workflow review so we can identify what is usable now, what needs cleanup, and where a focused pilot can still produce measurable value.
What is the first step?
Start with a workflow fit assessment. We identify the workflow with the highest ROI potential, estimate the time or margin impact, and recommend a focused pilot. You will know what should be built, why it matters, what it should cost, and how success will be measured before committing to a full implementation.
Get the review time and margin back
If your team is still relying on manual document search, batch status spreadsheets, supplier checks, or copy-and-paste support replies, there is likely a faster way to run the operation.
MVP.dev can help you identify the highest-value workflow, build the automation layer, and deploy it inside your current pharmaceutical stack.
Get a Workflow Fit Assessment See the Pharmaceuticals Automation Demos