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Offering an AI Proof of Concept (POC) service involves several well-defined stages. Below are the stages with details and key information to pitch to clients in industries such as Testing & Inspection, Insurance, Retail, and Hospitality:

Problem Identification

Objective: Clearly define the business challenge or opportunity where AI can provide value.

Key Pitch Points:

  • Highlight how AI can improve operational efficiency, enhance customer experience, or uncover actionable insights.
  • Emphasize collaborative problem definition to ensure alignment with the client’s business objectives.

    • Client Input Needed:

  • Specific problems or inefficiencies they face.
  • Key metrics to measure success.
  • Relevant historical data or processes related to the problem.

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Demo

Demo
Support

Support
Pricing

Pricing
general Information

general Information

Feasibility Assessment

Object Assess the technical and business viability of the AI solution.

Key Pitch Points:

  • Explain your approach to evaluating data availability, quality, and relevance.
  • Stress the importance of identifying quick-win use cases with measurable outcomes.
  • Highlight the scalability of successful POC results to broader applications.

    • Client Input Needed:

  • Access to relevant datasets (structured or unstructured).
  • Documentation of existing systems, workflows, and APIs.
  • Input on compliance or domain-specific constraints.
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Solution Design

Objective: Develop a high-level solution plan tailored to the identified problem.

  • Offer insights into your framework for building data pipelines, selecting models, and integration strategies.
  • Demonstrate your expertise in domain-relevant AI technologies (e.g., computer vision for inspection, NLP for customer feedback in hospitality).

    • Client Input Needed:

  • Confirmation on solution requirements, such as accuracy thresholds, turnaround times, and user expectations.
  • Input on any pre-defined constraints or legacy system compatibility.
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Book demo

Data Preparation

Object Process and prepare the data for model training.

Key Pitch Points:

  • Highlight your data wrangling and enrichment capabilities to maximize model performance.
  • Explain how you ensure compliance with data security and privacy regulations.

    • Client Input Needed:

  • Clean or raw datasets relevant to the use case.
  • Feedback on gaps or additional data needed.
  • Approval of data anonymization strategies, if required.
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Model Development and Testing

Objective: Build and test a prototype model to address the problem.

  • Explain how the model’s performance will be iteratively tested using client feedback.
  • Assure clients of flexibility to modify goals if the model outperforms initial expectations.

    • Client Input Needed:

  • Feedback loops for initial test results.
  • Access to subject matter experts for model validation.
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Book demo

Demonstration

Object Showcase how the POC works with live or simulated data.

Key Pitch Points:

  • Create a compelling visualization or demo to make the benefits tangible.
  • Highlight measurable outcomes tied directly to their business needs.

    • Client Input Needed:

  • Approval on the format of the demonstration (e.g., dashboards, reports, alerts).
  • Stakeholder participation during the demo.
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Analysis and Next Steps

Objective: Evaluate the POC’s success and discuss possible deployment options.

  • Provide a detailed summary of the results, lessons learned, and business impact.
  • Suggest paths for scaling the solution, such as full-scale deployment or process integration.

    • Client Input Needed:

  • Input on potential refinements before scaling.
  • Decision on deploying, refining, or concluding the AI initiative.
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Book demo

Packaging the POC Offer

  • Deliverables: Include a report summarizing results, actionable insights, and recommendations.
  • Duration: Set a clear timeline (e.g., 6–8 weeks) with regular progress updates.
  • Costs: Present a transparent and attractive pricing model.
  • Value Proposition: Emphasize this as a low-risk way to explore AI’s value in their business.
Book demo

Book demo