Advisory

Most vendors lead with a demo. We lead with a diagnosis.

Every Proxa Labs engagement starts with the question your organization actually needs answered: what will determine whether AI succeeds or fails here? Six diagnostic engagements, each time-bounded, each producing a deliverable you can act on. No open-ended retainers.

Why Advisory First

The thing that determines whether AI works is rarely the technology.

AI implementations in biopharma commercial learning fail in predictable ways. The use case is too broad. The pilot is scoped to succeed in controlled conditions that don't match the real environment. There's no path to a defensible business case. The governance gate kills the deployment after a successful technical demo. The business sponsor moves on. These failure patterns account for 80–95% of pharma AI pilot failures.

Proxa Labs' advisory engagements are designed around them. We diagnose where you are in the AI journey, where the specific risks live in your environment, and which engagement gives you the highest-leverage starting point. We don't recommend technology before we understand the constraints it has to operate in.

Every advisory engagement is time-bounded, produces a concrete deliverable — not a slide deck — and feeds directly into either a structured Lab experiment or a focused implementation workstream.

Pharma AI pilots fail because no one defines what success looks like before the pilot runs.
Marcus Ellison, Advisory Practice Lead, Proxa Labs
Six Advisory Engagements

Pick the engagement that fits where you are.

Each is time-bounded with a concrete deliverable. None requires a long-term retainer.

01
AI Strategy & Roadmap Workshop
Executive alignment on AI priorities, use cases, and implementation roadmap. Half-day workshop with your leadership team — the lowest-risk starting point. Deliverable: prioritized 12-month AI roadmap.
02
AI Readiness & Maturity Assessment
Custom AI maturity model, capability heatmap, technology gap analysis, and prioritized use case roadmap. 4-week engagement. Deliverable: maturity scorecard and readiness gap remediation plan.
03
Learning Technology & GenAI Assessment
Comprehensive vendor evaluation, compliance risk assessment, and integration feasibility study. Built to defend your buying decision against IT, Legal, and Compliance scrutiny.
04
AI Governance & Compliance Framework
End-to-end governance framework for AI-generated commercial content. Role-based guidelines, monitoring protocols, and incident response playbooks — aligned to MLR and FDA guidance.
05
Learning Infrastructure Assessment
Data architecture review, AI infrastructure readiness analysis, and phased modernization roadmap. Identifies the technical prerequisites before AI tools arrive.
06
AI-Optimized Org Design
Organizational structure recommendations for AI-enabled commercial learning at scale. Role redesign, hiring plans for new capabilities, and reporting structure changes.
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The diagnostic call took 30 minutes and saved us 9 months of building the wrong thing. We had been about to issue an RFP for an AI roleplay vendor. The advisory team showed us our actual blocker was MLR throughput, not roleplay coverage. We funded a Forge pilot instead. Six months later we had measurable launch readiness gains and a CCO-approved AI roadmap.

VP, Commercial L&D
Top-10 Global Pharma
Anonymized advisory client

Not sure where to start? That's the right conversation to have.

30 minutes. No demo. Tell us about your environment, what you've tried, and where you've been stuck. We'll tell you what we'd look at first.