AI-assisted diagnostics pilot proposal: Free template

Customize this free AI-assisted diagnostics pilot proposal with Cobrief

Open this free AI-assisted diagnostics pilot proposal in Cobrief and start editing it instantly using AI. You can adjust the tone, structure, and content based on your client’s clinical workflows, specialties, and deployment goals. You can also use AI to review your draft — spot gaps, tighten language, and improve clarity before sending.

Once you're done, send, download, or save the proposal in one click — no formatting or setup required.

This template is fully customizable and built for real-world use — ideal for helping hospitals, imaging centers, or digital health teams test AI tools in live clinical settings. Whether you’re piloting AI for radiology, pathology, dermatology, or symptom triage, this version gives you a structured head start and removes the guesswork.

What is an AI-assisted diagnostics pilot proposal?

An AI-assisted diagnostics pilot proposal outlines your plan to deploy and evaluate an artificial intelligence tool that supports clinical decision-making. It typically includes use case selection, system integration, workflow design, data routing, clinical oversight, success metrics, and compliance planning.

This type of proposal is used by AI vendors, clinical ops teams, and digital health consultants helping providers test decision support tools before broader rollout or regulatory submission.

Use this proposal to:

• Validate an AI model in a real-world clinical setting.
• Measure diagnostic accuracy, speed, or triage impact.
• Gather data for regulatory submission, internal ROI, or partnership proof.
• Align clinical, IT, and compliance teams around structured evaluation.

This proposal helps clients go from concept to live pilot with confidence and clarity.

Why use Cobrief to edit your proposal

Instead of copying a static template, you can use Cobrief to tailor and refine your proposal directly in your browser — with AI built in to help along the way.

• Edit the proposal directly in your browser: No setup or formatting required — just click and start customizing.
• Rewrite sections with AI: Highlight any sentence and choose from actions like shorten, expand, simplify, or change tone.
• Run a one-click AI review: Get instant suggestions to improve clarity, fix vague sections, or tighten your message.
• Apply AI suggestions instantly: Review and accept individual AI suggestions, or apply all improvements across the proposal in one click.
• Share or export instantly: Send your proposal through Cobrief or download a clean PDF or DOCX version when you’re done.

Cobrief helps you create a polished, persuasive proposal — without wasting time on formatting or second-guessing your copy.

When to use this proposal

This AI-assisted diagnostics pilot proposal works well in situations like:

• When piloting an AI tool for image or pattern recognition (e.g., radiology, dermatology, pathology).
• When validating triage, risk scoring, or clinical decision support tools.
• When collecting data to support FDA 510(k), CE mark, or payer discussions.
• When building internal buy-in before integrating AI into live workflows.
• When aligning clinical, tech, and legal teams around early-stage deployment.

Use this proposal to help clients structure their first AI deployment before scaling across departments or patient populations.

What to include in an AI-assisted diagnostics pilot proposal

Each section of the proposal is designed to help you explain your offer clearly and professionally. Here's how to use them:

• Executive summary: Position the pilot as a structured, low-risk way to evaluate AI’s value in a live setting — with clear metrics and oversight.
• Scope of work: Include pilot use case selection, AI model integration, workflow mapping, user training, feedback capture, model performance monitoring (e.g. sensitivity, specificity), audit logging, escalation logic, and post-pilot review.
• Timeline: Break into phases — kickoff, technical setup, clinical orientation, live pilot, data collection, and post-pilot evaluation. Most pilots run 4–12 weeks.
• Pricing: Offer flat-fee or milestone-based pricing. Optional add-ons: annotation tools, extended IT support, regulatory documentation, or multi-site pilots.
• Terms and conditions: Clarify data use agreements, PHI protection, model explainability limitations, human-in-the-loop standards, and ownership of feedback data.
• Next steps: Include a CTA like “Approve to begin AI integration and clinical workflow planning” or “Schedule kickoff to align on pilot goals and outcome measures.”

How to write an effective AI-assisted diagnostics pilot proposal

Use these best practices to show credibility, structure, and real-world awareness:

• Make the client the focus: Emphasize how the pilot supports their clinical goals, staff workflows, and patient safety.
• Personalize where it matters: Reference their specialty (e.g., radiology vs. dermatology), care setting (clinic, hospital, lab), and existing IT stack.
• Show results, not just tech: Use examples like “Reduced average radiology turnaround by 22%” or “Increased early-stage cancer detection in flagged cases by 18%.”
• Be clear and confident: Avoid buzzwords — explain exactly what the AI will do, what clinicians will see, and how results will be reviewed.
• Keep it skimmable: Use timelines and deliverables so IT, legal, and clinical teams can quickly align and approve.
• End with momentum: Suggest a single department or use case to pilot first, then scale based on validated results and workflow fit.

Frequently asked questions (FAQs)

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This article contains general legal information and does not contain legal advice. Cobrief is not a law firm or a substitute for an attorney or law firm. The law is complex and changes often. For legal advice, please ask a lawyer.