How to Use AI in Business: Save Time, Cut Costs, and Drive Results

Writer: Luis Reyes
Date: September 23, 2025

The pressure on marketers to deliver better results, faster, and with fewer resources is only growing. As expectations rise, many professionals are asking: “How do I use AI for my business without losing quality or creativity?”

Artificial Intelligence offers real solutions. From automating repetitive tasks to uncovering insights at scale, AI helps businesses increase efficiency and make more informed decisions. Over 72% of companies have adopted at least one AI capability, and that number is rising as tools become more accessible.

This guide outlines actionable strategies to help you understand how to implement AI in your business, whether you’re launching new campaigns, improving operational workflows, or scaling your marketing efforts.

UNDERSTANDING AI AND ITS BUSINESS IMPLICATIONS

Before you can start planning how to use AI in your business, it’s essential to have a firm understanding of precisely what it is and how it works.

Artificial Intelligence (AI) enables machines to perform tasks that traditionally required human intelligence. These systems interpret language, identify patterns, and predict outcomes while learning and adapting at breakneck speed.

Within the broader AI landscape, there are a few core technologies that are especially relevant for marketing and media professionals:

• Machine Learning (ML) enables systems to learn from large datasets and spot patterns with improved accuracy over time. ML can be applied for more effective audience segmentation and behavioral targeting that adapts as customer preferences evolve.
• Natural Language Processing (NLP): NLP powers tools that interpret and generate human language, making chatbots, sentiment analysis, and AI content tools more intuitive and effective.
• Generative AI: A newer development than ML and NLP, generative AI produces original content, including headlines, CTAs, blog posts, and video scripts based on your specific prompts and goals. This helps your marketing teams scale content production while maintaining brand consistency across channels.

HOW TO IMPLEMENT AI IN BUSINESS

Successful implementation starts small. Identify one high-impact area, introduce AI-driven workflows, and expand from there.

Many teams begin by:

• Automating bid strategies for programmatic advertising
• Speeding up content creation through AI-assisted writing
• Using AI analytics to surface insights in real time

This approach lets your team concentrate on strategic planning and creative development while AI manages data processing and optimization tasks. At Simpli.fi, we help brands integrate AI across the media buying lifecycle, from campaign setup to performance insights, to streamline workflows and enhance results.

AI IN MARKETING

AI helps you balance efficiency with customer experience. You can optimize ad spend and refine messaging through AI-powered decision-making across the marketing funnel.

Marketing teams are applying AI across three core areas:

• Consumer insights: Analyze real-time data from social platforms, search trends, and surveys to uncover opportunities and refine segmentation.
• Content generation: Create multiple message variations quickly, maintaining consistency across formats and channels.
• Campaign optimization: Dynamically update creatives, adjust bidding strategies, and reallocate budgets based on real-time performance metrics.

These tools amplify your team’s capabilities rather than replacing human expertise. You maintain control over creativity and strategy while automation handles data processing and optimization. This enables lean teams to execute across more channels without operational strain.

For agencies and brands managing programmatic campaigns, AI in media buying and planning delivers even more sophisticated targeting and budget allocation capabilities.

AI FOR REAL-TIME SENTIMENT MONITORING AND BRAND PERCEPTION

In today’s media landscape, reputation can shift in hours. AI-powered sentiment tools give brands an edge by capturing real-time public feedback.

Key use cases include:

• Social listening: Track mentions and sentiment across platforms like X, LinkedIn, Reddit, and Instagram.
• Review analysis: Aggregate and evaluate customer reviews to identify recurring themes and areas of concern.
• Reputation management: Get real-time alerts when sentiment changes, enabling quick, proactive communication.

Real-time feedback shifts your approach from reactive to proactive. You can shape perceptions and manage risk based on actual data rather than assumptions, giving you better control over brand equity protection.

AI FOR FORECASTING MARKET TRENDS AND COMPETITIVE INTELLIGENCE

Competitive advantage comes from anticipating market changes before they happen. Predictive analytics helps you process data across industries, platforms, and geographies to uncover patterns that signal upcoming shifts.

• Trend forecasting: Identify patterns in behavior, search volume, and conversations that signal upcoming demand.
• Competitor tracking: Monitor public data such as ad campaigns, pricing updates, and hiring trends.
• Product insight: Use behavioral and contextual data to find market gaps and unmet needs.
• Scenario planning: Use predictive modeling to test strategy variations before deployment.

These capabilities give you a competitive edge by turning data into foresight. You can spot opportunities early and make strategic moves while competitors are still analyzing what happened.

AI FOR STRATEGIC DECISION-MAKING

Your budget meetings become more actionable when you can show projected outcomes and data-driven forecasts. You can use predictive models to test campaign strategies and confidently allocate resources based on actual performance indicators.

These predictive capabilities reshape how you approach major budget decisions:

• ROI projections: Estimate outcomes like CPA and reach based on historical data.
• Media mix analysis: Determine optimal spend across CTV, video, display, and mobile.
• Creative scenario modeling: Compare potential strategies across different audience segments and creative formats.
• Performance diagnostics: Quickly identify and fix issues in real time, from audience misalignment to creative fatigue.

You gain visibility into campaign performance weeks before traditional reporting cycles. This foresight enables you to make proactive strategy adjustments and reallocate resources based on predictive indicators and forward-looking analysis of campaign potential.

ADVANTAGES OF INTEGRATING AI INTO YOUR BUSINESS

Agencies and media companies using AI gain clear operational advantages over competitors who still rely on manual processes. Whether you’re exploring how to start a business using AI or enhancing existing operations, you can deliver better client results while reducing the time and resources required to manage complex campaigns.
Primary benefits include:

• Enhanced decision-making: Make faster, more accurate decisions using real performance data to optimize campaigns and improve client ROI.
• Improved efficiency: Automate campaign setup, bid management, and reporting so your team can focus on strategy and client relationships.
• Personalized customer experiences: Deliver relevant messaging and creative that align with individual audience behaviors across CTV, mobile, and display channels.
• Greater scalability: Manage more client accounts and campaigns with existing team sizes, increasing revenue potential while controlling operational costs.

Media buyers implementing AI strategically report significant improvements in campaign performance and client satisfaction. Research shows AI-driven campaign optimizations can boost net margins by 30 basis points annually, delivering measurable ROI for agencies and brands committed to programmatic innovation.

HOW TO INCORPORATE AI INTO YOUR BUSINESS: 5 TOOLS TO CONSIDER

Implementation becomes straightforward when you choose tools that integrate with your existing workflows. You can start with solutions that address immediate needs rather than replacing your current systems entirely.

1. ChatGPT (OpenAI)
   Most agencies use ChatGPT to handle the grunt work of content creation—research summaries, campaign brainstorming, and first drafts that would otherwise eat up billable hours. You still need human oversight for anything client-facing, but it excels at background tasks like pulling together competitive analysis or drafting internal documentation.

   The real value comes from smart prompting. Give it context about your client’s industry and brand voice, and you’ll get more useful outputs than generic responses. Agency teams find it particularly helpful during the initial stages of campaign development when they need to generate multiple concepts quickly.

   Just remember that it’s producing raw material, not finished work. Everything still needs your strategic thinking and brand expertise before it goes anywhere near a client.

2. Tableau (with AI integrations)
   Tableau transforms how media planners and analysts work with campaign data by making complex datasets readable. The AI components help surface patterns you might miss in spreadsheets, like seasonal trends in audience behavior or performance correlations across different channels. Instead of spending hours building reports, you can focus on interpreting what the data means for campaign strategy.

   Media buyers particularly value Tableau’s forecasting capabilities, which use historical performance to predict likely outcomes for budget allocation decisions. The visual dashboards make client presentations more compelling, since you can show clear performance trends rather than just numbers in a spreadsheet.

3. Gong
   Gong records and analyzes sales conversations to extract insights that most marketing teams never see. It identifies patterns in how prospects respond to different messaging approaches, what objections come up repeatedly, and which talking points actually move deals forward. For agencies, this creates a direct feedback loop between what sales teams hear in the field and how marketing messages perform in practice.

   The analysis covers tone, sentiment, and conversation flow to reveal which parts of your pitch resonate with different buyer personas. Revenue teams use these insights to refine everything from email sequences to ad copy, creating better alignment between marketing promises and sales delivery. Instead of guessing based on engagement metrics, you can hear what prospects care about.

4. Grammarly Business
   Grammarly Business solves the problem of agency consistency when multiple writers work on client accounts. It maintains brand voice standards across emails, proposals, and campaign copy while catching errors that could undermine your professional credibility. The platform learns your agency’s style preferences and adapts suggestions accordingly.

   Teams rely on it most during crunch periods when quality control becomes difficult to maintain manually. The real-time feedback helps junior team members match senior-level writing standards, and the brand guideline enforcement prevents costly mistakes in client deliverables. It’s particularly valuable for agencies managing multiple client voices simultaneously.

5. Simpli.fi Autopilot AI
   Autopilot AI addresses the challenges business owners face when building programmatic campaigns from scratch. Instead of spending hours researching audience segments and testing channel combinations, you input basic campaign parameters and receive a complete media strategy with budget allocations across CTV, display, video, and audio placements. Our platform draws from performance data across thousands of campaigns to recommend the optimal mix for your objectives.

   What sets Autopilot AI apart is its focus on programmatic advertising rather than general marketing automation. It’s delivered at competitive prices that make advanced AI accessible to businesses of all sizes. You maintain full control over creative direction and strategic decisions while the AI handles the technical complexity of channel selection, audience targeting, and budget distribution.

   The platform offers dramatically faster campaign launch times — what used to take days of planning and setup now happens in minutes. The recommendations come with transparent reasoning, so you understand why specific channels or audiences are suggested, enabling you to make informed adjustments based on client needs or market conditions.

STAY COMPETITIVE: LEARN HOW TO INTEGRATE AI INTO YOUR BUSINESS

Businesses that implement AI effectively streamline operations, improve outcomes, and stay ahead of the competition. Whether you’re managing a growing brand or optimizing a mature operation, the right tools can help you work more efficiently and make better decisions.

Simpli.fi supports more than 40,000 advertisers and powers over 140,000 campaigns each month. Our AI-enabled platform delivers the control, clarity, and performance needed to drive measurable success across marketing efforts.

Contact us to see how Simpli.fi’s AI-powered platform can streamline your workflows, optimize campaigns, and drive meaningful results for your business.

Luis Reyes Sr. Manager of Content Marketing | Simpli.fi Luis Reyes is a dynamic leader in content marketing, recognized for strategically elevating brand presence and driving impactful results. As the Senior Manager of Content Marketing at Simpli.fi, he leverages extensive expertise gained from previous roles, including Senior Client Success Manager for national advertising agencies and enterprise clients, Marketing Content Creator at a leading healthcare services provider, focusing on brand mergers and project management, and Sales Account Manager at a prominent digital marketing firm, where he secured and managed national and regional digital marketing campaigns along with creative work. His diverse experience and forward-focused approach solidify his status as an authority in today’s competitive marketing landscape.