Use Case Playbook
Realistic, governed AI and automation scenarios for regulated organizations.
These are not generic "AI ideas". Each scenario maps a concrete problem—like stuck AI pilots, clinical documentation overload, or manual compliance checks—to a governed AI or agentic automation approach that mid-market, regulated organizations can actually deploy.
Tip: start by selecting your industry and function, then layer in solution type.
Featured Scenarios
Bringing Stuck AI Pilots into Governed Production for a Mid-Sized Hospital
A hospital with multiple disconnected AI experiments needed a structured path to production without losing control of risk or cost.
Primary Outcome: Fewer 'zombie pilots', clearer roadmap, and governed production deployments.
Agentic Automation for Clinical Documentation Summarization (Human in the Loop)
Clinicians were overwhelmed with notes; AI summarization agents reduced documentation time while keeping human approval in the loop.
Primary Outcome: Reduced documentation burden, improved time for patient care.
Governed Claims Pre-Screening for a Regional Insurer
Manual claims review cycles were slow; AI pre-screening with clear guardrails accelerated throughput while preserving oversight.
Primary Outcome: Faster decisions with auditable review points.
AI Readiness & Governance Assessment for a Life Sciences Data Platform
A life sciences firm wanted to put AI on top of its data lake but lacked a clear governance model and prioritization.
Primary Outcome: Prioritized roadmap, clear responsibilities, and risk-aware plan.
Explore Use Cases by Industry
Healthcare & Life Sciences
Clinical Documentation Summarization with Human Approval
Summarizing unstructured clinical notes into usable, reviewable drafts for clinicians.
Outcome: Lower documentation time; higher quality summaries.
Triage & Routing of Patient Inquiries with Governed AI
Classifying and routing patient messages to the right queues with human oversight.
Outcome: Faster response times without losing control of sensitive communication.
AI-Assisted Care Pathway Recommendations (Advisory, Not Autonomous)
Supporting clinicians with summarised guideline suggestions, leaving final decisions to humans.
Outcome: Better information at the point of care, without replacing clinical judgment.
Pharma R&D
Literature & Protocol Summarization for R&D Teams
Summarising trial protocols, literature, and internal reports into role-specific briefs.
Outcome: Faster onboarding and decision-making across trial teams.
Agentic Workflow for Study Feasibility Assessments
Agents that help pull data, highlight feasibility risks, and assemble draft reports for human review.
Outcome: Faster feasibility cycles with traceable reasoning steps.
Governed Data Products for AI-Assisted Trial Operations
Defining AI-ready data products for trial metrics, recruitment, and operations.
Outcome: Cleaner AI inputs and more reliable outputs in trial-related AI.
Healthcare Operations
Agentic Inventory & Supply Chain Alerts
Agents watching stock levels, usage patterns, and vendor SLAs—raising human-reviewed alerts.
Outcome: Fewer stock-outs and less manual chasing.
Operational KPI Narratives & Anomaly Explanations
Generating narrative explanations and suggested checks for spikes or dips in operational KPIs.
Outcome: Faster understanding of what changed and why.
Scheduling & Resource Coordination Assistants
AI assistants that help operations teams coordinate shifts, rooms, and resources with approval steps.
Outcome: Better utilisation without losing human control.
Compliance & Governance
AI Readiness & Governance Assessment for Mid-Market Healthcare
Structured assessment of AI maturity, data risk, and governance gaps.
Outcome: Concrete roadmap and risk-informed priorities.
Model & Workflow Documentation for Audit-Friendly AI
Capturing diagrams, flows, and narratives that make AI systems explainable to auditors.
Outcome: Easier internal and external reviews.
Compliance-Aware Agentic Workflows for Manual Checks
Using agents to pre-assemble evidence and checks for compliance reviews, with humans making final calls.
Outcome: Reduced manual prep time; more consistent reviews.
How to Use This Playbook
- • Start with your industry.
- • Filter by the function that hurts the most today.
- • Look at Solution Type tags (Readiness, Agentic, LLM, MLOps) to see where you are.
- • Pick one or two scenarios and bring them to a discovery call.
Can't Find Your Exact Scenario?
Most real projects are combinations of these patterns, adapted to your data, workflows, and governance requirements. If you don't see a one-to-one match, that's normal—we can map your context to the closest patterns together.
Ready to Turn One of These Scenarios Into a Roadmap?
Pick one or two use cases that resonate with you—then we'll help you map them to your data, governance requirements, and technical reality.