Shelpuk & Company
    AI Opportunity Discovery

    Find the Right AI Bet

    Stop guessing which AI initiative will deliver ROI. We combine internal discovery, competitor analysis, cross-industry intelligence, and market perspectives to identify the AI bets that fit your data, team, and strategic goals.

    4-week engagement

    Why companies struggle to start with AI

    Most AI initiatives fail not because of technology, but because organizations bet on the wrong problem.

    Too many AI possibilities

    Every vendor promises transformation, but which use case actually fits your data, team, and budget?

    Fear of betting wrong

    A failed AI pilot wastes 6–12 months and erodes stakeholder trust. The cost of a wrong bet is high.

    No internal AI expertise

    Your team knows the business, but lacks the technical depth to evaluate AI feasibility honestly.

    Four sources of AI opportunity

    We don't just ask your team what they need. We triangulate opportunities from multiple intelligence sources.

    Internal Stakeholder Interviews

    We talk to leadership, ops, and frontline teams to map pain points, data assets, and strategic priorities from within your organization.

    Competitor AI Analysis

    We research what your direct competitors are doing with AI — their investments, deployments, and public roadmaps — to identify gaps and opportunities.

    Cross-Industry Intelligence

    We analyze companies with similar technical capabilities in other industries to uncover transferable AI use cases you might be missing.

    Market & Investor Perspective

    We examine PE/VC investment patterns and valuations in your sector to understand which AI bets the market rewards.

    Our 4-week discovery process

    A structured approach to cut through the noise and find AI opportunities that matter.

    01Week 1-2

    Discovery & Research

    Stakeholder interviews combined with competitor and cross-industry AI analysis to build a comprehensive opportunity landscape.

    02Week 2-3

    Opportunity Mapping

    We synthesize all four intelligence sources to identify 10–15 potential AI use cases, scoring each on impact, feasibility, and data readiness.

    03Week 3

    Prioritization Workshop

    Interactive session with your leadership to align on the 2–3 highest-ROI bets worth pursuing, informed by market and competitive context.

    04Week 4

    Roadmap Delivery

    You receive a detailed implementation roadmap with architecture, timelines, and budget estimates.

    What you'll receive

    Actionable deliverables, not just slide decks. Everything you need to move forward with confidence.

    AI Opportunity Report

    Comprehensive analysis of 10–15 use cases with impact/feasibility scoring matrix, sourced from all four intelligence streams.

    AI Competitive Intelligence Report

    Detailed analysis of competitor AI initiatives and cross-industry opportunities relevant to your technical capabilities.

    Market & Investment Analysis

    PE/VC investment patterns and valuation trends showing which AI bets the market rewards in your sector.

    Implementation Roadmap

    Detailed plan for top 2–3 use cases with architecture, timeline, and resource requirements.

    Risk Assessment

    Technical, organizational, and competitive risks identified with mitigation strategies.

    Case Study

    Civitta

    International Consulting Company

    Challenge

    Civitta aimed to equip four startups in its Challenger AI Accelerator with robust AI product strategies and clear implementation roadmaps for sustainable competitive advantages in Generative AI.

    Outcome

    Delivered comprehensive AI product strategies, system architecture designs, and go-to-market plans for four startups across three countries — all teams solved their AI technology challenges.

    "It was impressive how Shelpuk AI Technology Consulting found an individual approach to each team they worked with!"

    — Olena Shershun, Associate Partner, Civitta

    Frequently Asked Questions

    Answers to common questions about this topic.

    How can we figure out what AI can actually do for our company?

    This service helps leadership teams identify high-ROI AI opportunities, clarify buy-vs-build decisions, and define an executable roadmap before major implementation spend. Shelpuk AI Technology Consulting advises leadership teams on AI strategy and investment decisions before major build commitments.

    How do we decide whether to buy AI tools or build our own?

    In this context: Identify high-ROI AI use cases for your business. Strategic consulting with Moat vs Enhancer analysis and Buy vs Build decision support. The approach combines stakeholder interviews, process mapping, data and system assessment, plus Moat-vs-Enhancer and Buy-vs-Build analysis to rank initiatives by ROI and delivery risk. Shelpuk AI Technology Consulting runs structured discovery programs that connect business priorities with technical feasibility.

    How much does an AI opportunity discovery engagement usually cost?

    Pricing is usually scoped by business-unit coverage, technical depth, and number of use cases evaluated, with explicit scope boundaries agreed upfront. Shelpuk AI Technology Consulting offers transparent consulting packages with clear assumptions, scope boundaries, and decision checkpoints.

    What do we get at the end of discovery?

    Typical outputs include a ranked opportunity portfolio, architecture directions, implementation sequencing, and KPI baselines for investment decisions. Shelpuk AI Technology Consulting frames deliverables so sponsors can move directly into funded implementation with reduced execution ambiguity.