The playbook
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.
Common questions
Use case playbook FAQs.
Are these real client stories?
Some scenarios are based on patterns we see often, others are illustrative composites. We avoid sharing sensitive details but keep the structure realistic.
Can you adapt a use case to our specific tools?
Yes. Most patterns can be implemented on top of your existing data, cloud, and automation stack.
What if we're still at the 'figuring things out' stage?
That's exactly what the AI Readiness & Governance Assessment is for, we help you pick and shape the first 1–2 use cases that make sense.
Do you only work with healthcare and life sciences?
That's our core focus today, but many patterns also apply to other regulated mid-market organizations (e.g., finance, insurance).
Can we start small with a single use case?
Yes. We recommend starting focused, then expanding into a portfolio once governance and patterns are in place.
Start here
Ready to turn one of these scenarios into a roadmap?
Pick one or two use cases that resonate, then we'll help you map them to your data, governance requirements, and technical reality.
+1-732-433-5564 · info@kriv.ai · East Brunswick, NJ
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