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AI Engineering for Biotech Company Operations

We automate vendor qualification, contract milestone tracking, board reporting, and procurement workflows — built and operated for you.

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What We Automate

We don't know every problem in your operation. You do. These are the types of work we engineer AI for. You tell us where it hurts most.

Incoming Request Processing

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Requests come in from everywhere in every format. We read, classify, and route them.

vendor proposals purchase requests contract amendments

Data Entry Automation

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Your team re-types data from one system to another. We eliminate that.

vendor records contract terms milestone dates budget entries

Compliance & Audit Readiness

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Every audit is a fire drill. We keep you ready all the time.

vendor qualification QMS compliance SOX controls

Reporting & Consolidation

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Cross-functional data pulled together so the C-suite sees one picture.

board decks program timelines budget vs. actual

Billing, Payments & Reconciliation

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Your team spends days matching invoices to contracts. We do it in minutes.

vendor invoices milestone payments grant reconciliation

Risk Detection

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Patterns hiding in your data that your team can't catch at scale. AI finds them.

budget overruns vendor performance timeline slippage
See How We Work →
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Common Questions About AI for Biotech Company Operations

How do we start?
We start with a 2-week AI Roadmap. Our engineers spend time inside your company operations — watching your team qualify vendors, mapping your contract milestone tracking, measuring your board reporting assembly cycle. The output is a ranked list of workflows by ROI, with implementation timelines and expected savings. No commitment to build beyond the roadmap.
What does my team do differently on day 1?
Almost nothing. The first workflow runs alongside your existing process — AI processes vendor qualification packages or contract milestones in parallel while your team works normally. Once accuracy is validated (typically 2-3 weeks), we switch over. Your ops team starts managing exceptions instead of processing everything manually. The transition is gradual, not a big bang.
How does this work with our existing tools?
We build on top of your existing systems. We integrate with your ERP, contract management, procurement, and project management platforms. The AI layer connects systems that don't talk to each other today. Your IT team keeps managing infrastructure. We build the automation that sits between your systems.
What about vendor qualification and GxP compliance?
Every workflow we build respects your quality management framework. For vendor qualification, the AI assembles and validates qualification packages against your QMS requirements and flags items that need quality review. We maintain audit trails for every automated step. The AI doesn't make qualification decisions; it eliminates the manual work around documentation.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: vendor qualification cycle time, contract milestone tracking accuracy, board report assembly time, and procurement processing speed. We set up dashboards that show before/after in real-time. If the numbers don't improve within 90 days, we fix it on our dime.
What's the total cost for year 1?
Two options. Per Workflow: $25K-$75K per workflow, best for starting with one high-impact process like vendor qualification or board reporting. Dedicated Team: ~$22K/month for 2+ AI engineers embedded in your operation, building multiple workflows continuously. Most biotech ops teams start with one workflow, prove the ROI, then move to a dedicated team.

Your operations are too complex for manual processes.

Book a free 30-minute AI Assessment. We'll map your highest-volume workflows and show you the 3 processes with the highest ROI.

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