Unlocking AI’s Potential: How to Find and Scale the Most Impactful Use Cases in Your Business

The 6 Fundamental “Primitives” of AI Use Cases

OpenAI defines six core “primitives”—repeatable use case categories that show up across every team and industry. These serve as the building blocks for successful AI adoption:

• Content Creation – Drafting blog posts, emails, documentation, or campaign copy

• Research – Summarizing long reports, pulling out insights, and scanning external sources

• Coding – Writing or refactoring scripts, automating internal tools, or managing integrations

• Data Analysis – Interpreting spreadsheets, surfacing insights, creating visuals

• Ideation & Strategy – Brainstorming, planning, and refining ideas with AI support

• Automation – Streamlining workflows, auto-filling forms, triggering system actions

Understanding these primitives is like having a map—you start to see where AI can drive immediate value.

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Practical Applications Across Departments

AI isn’t one-size-fits-all. The power lies in adapting these primitives to your business.

Here’s how they show up in practice:

• Marketing: Generate first-draft content, summarize reports, repurpose blog posts into social media content

• Sales: Draft email follow-ups, build call scripts, qualify leads based on CRM data

• Product: Write PRDs, compile feature requests, summarize feedback

• Finance: Draft policy documents, analyze expense trends, prepare reports

• Support: Summarize tickets, auto-draft help articles, recommend responses

One life sciences company saved 135 hours in six months just by using AI to generate first-draft marketing emails.

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A Closer Look: The Power of AI in Data Analysis

One of the most universally valuable primitives is data analysis. OpenAI writes that AI helps users harmonize data across sources, uncover trends, and interpret dashboards—without needing advanced Excel, SQL, or Python skills. You can upload spreadsheets, dashboard screenshots, or even plain tables, and AI can:

• Interpret and summarize key insights

• Spot anomalies or trends

• Generate charts or visuals for reporting

• Reformat messy data for clarity

Department-specific examples:

• Marketing: Analyze webinar attendance and visualize engagement

• Product: Review social feedback and track feature mentions

• Sales: Map leads to accounts and score for buyer intent

• Finance: Track expenses and flag unusual spending

What’s next? Imagine scheduled, ongoing AI agents that monitor your key datasets and deliver weekly insights without being asked. That’s where this primitive evolves into agentic capability.

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Ideation & Strategy: The Intelligence Behind the Interface

Speaking of strategy—this is where things get exciting.

The fifth use case primitive, ideation and strategy, is becoming one of the most powerful—and widely adopted—across all teams.

From brainstorming a blog post to structuring a document, AI is being used to refine plans, evaluate risks, align with business goals, run “what if” scenarios, and challenge assumptions.  

Some common use cases from OpenAI:

• Marketing: Brainstorm campaign ideas, upload a marketing brief and ask what’s missing

• Finance: Build a market expansion plan for a new region

• Product: Upload your PRD and ask for potential weaknesses before an exec review

• Sales: Practice your pitch or simulate discovery questions using voice mode

These aren’t hypotheticals—they’re already happening. And the model upgrades are making them smarter.

The o3 reasoning model, for example, is a major leap forward from GPT-4 and 4.5, especially for complex planning and strategic thinking. You can now upload multi-page docs, provide goals and constraints, and get thoughtful, contextual output in return.

But here’s the real kicker: it still feels like we’re just scratching the surface.

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Horizon Thinking: From Foundations to the Future

To make sense of what’s possible now versus what’s emerging, it helps to think in horizons:

• Horizon 1: Available Now

Tools for content creation, data analysis, and ideation are ready to go. These are the building blocks of everyday AI.

• Horizon 2: Agentic Capabilities

AI evolves from tool to teammate. Think always-on data agents, strategic copilots, and workflows that evolve dynamically based on your business context.

• Horizon 3: Autonomous Orchestration

At this stage, AI handles multi-department coordination, dynamic decision-making, and even proposes business model changes.

But here’s the truth: you can’t unlock Horizons 2 and 3 unless Horizon 1 is in place—which means secure rollout, department education, and clear use case frameworks.

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That’s where Hatz AI comes in.

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From Experiments to Enterprise-Ready AI

We guide MSPs and their customers through that foundational journey:

Launch fast with secure AI tooling

Train teams with fundamentals and use case examples

Activate quick wins across departments

Build toward agent-based workflows that scale

If you’re wondering where to start—it’s not with the fanciest agent. It’s with the use cases your teams already know. Then we help you scale from there.

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Adopting AI isn’t about betting on the future. It’s about doing the right things now—educating teams, surfacing use cases, and scaling what delivers real value.

Hatz AI is here to help you build that bridge—from Horizon 1 to the agentic future.

Ready to get started? Let’s find your first five use cases and build your AI roadmap from there.

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