How to Fully Utilize AI Tools like ChatGPT for Business

Since the initial AI boom a few years back, tools like ChatGPT have moved beyond automation and into amplification. Across industries, AI now writes, codes, designs, predicts, and turns ideas into full-scale operations. 

In his vision for the future, OpenAI’s Sam Altman states that the “billion-dollar company of one” is more within reach than we think. For businesses integrating generative AI into company structures, realizing that innovation can scale at the speed of thought is transformative.

In this article, we’ll explore how AI tools like ChatGPT can unlock unexpected business potential and turn everyday operations into creativity engines.

AI Adoption Trends: Global Surge and Leadership

In 2024, 3 out of 4 organizations were using AI as part of their business infrastructure—that covers firms in North America, Europe, and Asia. Even industries once considered “left behind,” such as consulting, legal, and other professional services, have started incorporating AI into their workflows.

AI Infrastructure and Talent

AI adoption doesn’t come without its complications. Compute infrastructure is incredibly heavy, with roughly 30% of AI projects struggling because of limited access to high-powered GPUs. Thus, most businesses rely on third-party cloud providers like Amazon or Google. 

Moreover, AI talent is scarce. Estimates say we have a 50% shortage of qualified AI workers to support exponential growth in 2024. Those planning to hire AI talent in the coming years have to compete fiercely for high-quality candidates.

AI-Driven Startups and Investment Trends

Investments in AI tech have reached an all-time high, rising by 26% from 2023 to 2024 ($252 billion). Venture capital is also on a steady rise, with about $100 billion funneled into startups in 2024. 

North America is at the top of the boom, while China and the rest of Asia have surprisingly slipped into decade lows.

Impacts on Employment and Career Agility

As businesses employ AI to cut costs and speed up processes, concerns about the future of human employment persist. Still, there have been gains in supply chains, which have seen about 43% in cost reductions, and organizations are seeing a 57% revenue increase.

Regarding layoffs, there isn’t too much to worry about. Despite the suggestion that “AI will replace jobs,” the majority of organizations are instead seeing shifts in work distribution. While some roles that require repetitive tasks may eventually disappear, others are likely to evolve. 

Sector Hotspots: Marketing, Finance, and Service

Marketing and sales have always been at the forefront of AI growth. Between 2023 and 2024, the use of generative AI in this sector has doubled, with firms using AI to tailor ads, write content, and personalize consumer experiences.

The banking sector follows closely, with firms claiming significant revenue increases and shorter onboarding times. Service operations are also adopting AI more rapidly, as chatbots can handle routine customer queries round the clock, and staff can handle more complex problems.

AI Tools Like ChatGPT

In this section below, we explore ChatGPT alternatives across various sectors and departments, highlighting their functions, use cases, and pricing models.

Marketing and Sales: AI-Powered Content, Campaigns, and Creativity

Modern marketing tools have halved production times by enabling copy drafting, visual creation, personalized campaign customization, and even immersive experiences. Here are some tools driving marketing productivity. 

Content Creation and Copywriting: Jasper

This generative AI writing assistant, trained on your brand voice, can write emails, blogs, and social media posts. Jasper offers language support from 30 countries, allowing businesses to maintain their brand voice globally. 

Key Features: 

• 50+ content templates for various outputs, such as blogs, social media posts, digital ads, etc.
• Brand Voice system remains consistent with your company’s tone and delivery
• Collaboration dashboard streamlines team content management

Pros:

• Produces high-quality output almost instantly
• Integrates with Grammarly and other CMS tools
• Comprehensive onboarding and continued customer support

Cons:

• Gets pricey even for smaller teams
• Requires some skill/knowledge for configuring templates
• Output can sound slightly repetitive/formulaic without human editing

Price: $59/month (billed annually) or $69/month for Pro

Advertising and Social Media Imagery: Midjourney

This AI art tool generates ad and social media imagery from text prompts. For example, marketers can prompt Midjourney to create multiple banner ad concepts or social post graphics in minutes, and then refine each image for publishing. 

Key Features:

• Text-to-image production using Discord
• Custom styles ranging from cinematic, illustrated, photorealistic, futuristic, etc.
• Community-based feedback with quick implementation

Pros:

• Produces some of the highest-quality images among other generators
• Highly cost-effective for ad visuals
• Active community provides image inspiration

Cons:

• Operates exclusively through Discord—no dedicated app
• No precise editing tools—must use built-in features
• Limited commercial rights on lower-tiered memberships

Price: $10/month (Basic), $30/Month (Standard), $60/Month (Pro) 

Personalized Marketing and Insights: Adobe Experience Cloud

For businesses seeking personalized ads and email content, Adobe Experience Cloud is the ideal choice. Its enterprise AI, GenStudio, can generate copy and images at scale for target personas, later providing predictive insights and content feedback for improving engagement and ROI.

Key Features:

• Adobe Sensei GenAI provides comprehensive campaign personalization
• Unified analytics, insights, and audience segmentation
• Integration with Photoshop, Firefly, and other popular editing apps

Pros:

• Ideal for large-scale customer journey optimization 
• Deep analytics and predictive suggestions for future campaigns
• Proven security and scalability

Cons:

• Complex setup requiring significant knowledge and training
• No transparent pricing (all subject to enterprise-only feedback)
• Can be overkill for smaller or medium-sized businesses

Price: Custom premium subscription price upon request

Customer Service and Support: 24/7 Assistance with Generative AI

Customers want instant results, but live agents can’t always provide them. With the help of generative AI, customers can get tailored and accurate responses. Here are some tools to consider.

Customer Engagement Chatbots: WhatsApp Chatbot

With AI chatbots in the picture, human customer service agents no longer have to deal with hordes of messages asking, “Where is my order?” The WhatsApp Chatbot is a sales favorite, handling customer queries in a conversational and highly interactive way. 

Key Features:

• 24/7 inquiry feedback and automated chat on the WhatsApp Business API
• Supports features like payment, order tracking, and marketing broadcasts
• Integrates with most CRMs and eCommerce platforms

Pros:

• Significant user base with over 3 million contacts for high reach
• Instant, conversational replies that feel human
• Cuts support costs and response times

Cons:

• Setup requires third-party providers and API approval
• Per-message costs can add up in costs
• Limited design flexibility—may lack branding

Price: Usage-based pricing (per-message pricing model)

AI Chatbots for Instant Response: Rasheed

Rasheed AI is ideal for businesses requiring 24/7 customer support via customized chatbots, known as Agentic AI. The bots can answer questions, troubleshoot issues, and perform simple tasks instantly, reducing wait times and delivering consistent service. Its customizability is so comprehensive that you won’t skip out on delivering good branding for your business.

Key Features:

• Natural, multilingual dialogue via website or app
• Integration with CRMs and internal databases
• Analytics dashboard can track conversations and provide insights

Pros:

• Highly customizable for businesses seeking strong branding
• Reliable, round-the-lock automated support with minimal intervention
• Improves business efficiency without expanding headcount

Cons:

• Enterprise pricing only without a free tier
• Requires training and company data for accurate results
• Custom setup can take time before deployment

Price: Custom/enterprise pricing model

Multilingual Support: Intercom Fin

Companies are becoming increasingly multilingual, especially as they expand into different continents. Intercom Fin is powered by GPT-4 and can understand and respond in over 95 languages. Whenever necessary, it seamlessly hands off to human agents. 

Key Features:

• Answers questions based on company’s knowledge base and information
• Seamless human handoff when intervention is required
• Available in nearly 100 languages

Pros:

• Significantly reduces agent workload—especially global hires
• Pay-per-solution pricing for better control over spending
• Simple integration with Intercom’s helpdesk

Cons:

• Requires significant internal knowledge base (potential security risks for sensitive information)
• $0.99 per resolved conversation can become costly in the long run
• Best results depend on how much information is provided by the company

Price: Offered as an add-on with outcome-based pricing ($0.99 per resolved conversation handled by Fin)

Agent Assistance and Knowledge Bases: Microsoft Copilot

Microsoft’s Copilot appears across various business features to assist in drafting email responses, summarizing support tickets, and suggesting relevant information to agents through its knowledge base. Overall, Copilot is like an AI sidekick, understanding the context of each case and offering a next best action to its agents.

Key Features:

• Context-aware document and email tracking that pulls from the company’s knowledge base
• Real-time agent suggestions for additional assistance
• Data analysis in Excel and in other supported Microsoft apps

Pros:

• Seamless integration for existing Microsoft 365 users
• Improves productivity across all daily workflows, whether in marketing, sales, finance, or other departments
• Provides enterprise-level data protection

Cons:

• Suggestions may be vague or limited if you don’t provide enough information/context
• Requires a Microsoft subscription
• Requires corporate-scale deployment for seamless integration

Price: $30/user/month for business users, $95-110/user/month for full use

Content Creation: Ideas and Final Assets

AI tools have become a sidekick for content creators, delivering a wide range of media outputs. This section will cover platforms that help produce original content. 

Long-Form Content: Copy.ai and Rytr

Copy.ai is ideal for teams requiring high-volume content, thanks to its robust feature set, which includes content templates, a rich text editor, and collaboration tools. It can save hours of writing by providing 1,000-word drafts on given topics. 

Key Features:

• Over 90 writing templates to customize
• Brand tone and voice customization
• Rich collaboration features for teams

Pros:

• Strong balance of creativity and structure for businesses producing a regular schedule of content
• Unlimited word output on all paid plans
• Friendly user interface for non-writers or first-time writers

Cons:

• Occasionally redundant, mundane, and may use filler text
• Requires some editing to sound more nuanced
• Team plan pricing may be too high for smaller businesses or freelancers

Price: $49/month (unlimited words) for up to 5 users, enterprise plans with custom pricing

Rytr positions itself as a more budget-friendly long-form content writer, and it’s great for freelancers or small businesses. It supports over 30 use cases and 30 languages. Specifically, Rytr is geared more toward content creators representing their business versus the company itself. It also features useful SEO tools, such as SERP analyzers and keyword generators.

Key Features:

• Over 30 use cases and tones
• Browser extension for on-the-go writing anytime you need it
• Supports over 30 languages

Pros:

• Can generate use cases for virtually any content, whether a blog post, social media caption, or whitepaper
• Very well-written short-form content and outlines with reliable data/facts
• Has add-ons not present in most other AI writers, including an image generator and a portfolio page builder

Cons:

• Not ideal for long-form content, as it can sound repetitive and use unnecessary jargon
• Keyword research doesn’t provide comprehensive metrics 
• UI can feel overly simplistic yet not entirely intuitive

Price: $9/month (Unlimited), $29/month (Premium) 

Short-Form/Micro Content: Peppertype

If you’re looking for social media captions, ad copy, product blurbs, or any catchy copy, Peppertype is for your business. With just a few keywords, Peppertype generates dozens of options for Tweets, short TikTok captions, or digital ads—you can choose from over 20 content types.

Key Features:

• Vast amount of templates for many content forms
• Additional collaboration tools for teams 
• SEO keyword research and optimization suggestions

Pros:

• Community feedback is taken seriously and implemented wherever possible
• Saves time on brainstorming for social media/short-form content
• Integrates with other campaign tools seamlessly

Cons:

• Support teams can be slow to reply
• Less suitable for long-form writing and can quickly become redundant, especially without prompt variation
• Limited free options

Price: $35/month (Starter), $199 (Growth) 

Visual and Design Assets: DALL-E

DALL-E has long dominated the AI scene as the best tool for visual content creation, thanks to its high-quality and highly detailed images based on user prompts. The range of images created by DALL-E is vast—it can design logos, create custom illustrations, and even memes for social media posts. Its ability to create original artwork makes it ideal for small businesses on a budget that lack dedicated graphic designers.

Key Features:

• Highly detailed text-to-image outputs with style control
• Inpainting to edit existing images
• API access for developers

Pros:

• Understands long, complex prompts and can integrate details seamlessly
• Conversational styles make it easy to modify images
• Affordable for freelancers and small businesses

Cons:

• Photorealistic images can sometimes look uncanny or fake
• Can be slow to generate images
• Lacks batch editing tools

Price: $20/month on ChatGPT Plus

Audio Content: ElevenLabs

As voice content becomes more popular, the demand for human-like voice narration is greater than ever. ElevenLabs is currently the leading text-to-speech platform with output that is remarkably natural. Content creators can use it for videos, podcasts, audiobooks, and digital ads without hiring voice actors. It provides multilingual support and supports localized AI voices. 

With permission, ElevenLabs can even perform voice cloning, which mimics a person’s natural voice. 

Key Features:

• Realistic voices with human nuances like pauses and emphasis
• Voice cloning for custom speakers
• Multi-language voice generation

Pros:

• Offers control over emotions and expressions to make voice-overs sound more human
• Has a user-friendly interface ideal for new users
• Scales easily for bigger audio projects

Cons:

• Subscription costs and monthly usage limits can potentially require frequent upgrades for high use
• Some security concerns with cloning technology
• Licensing is required for commercial use

Price: Free for 10,000 characters, $5/month (Starter, up to 30,000 characters), $22/month (Creator, up to 100,000 characters), $99/month (Pro, up to 500,000 characters), $330-1,320/month (Enterprise, between 2 million and 11 million characters)

Repurposing and Content Refresh: Lately AI

Long-form content tackles a persisting content challenge—making the most out of your output. Lately AI is a tool that can help turn your long-form blogs into social media posts, micro content, podcasts, and videos by extracting key points and generating dozens of ideas. For example, it can take an older vlog and repurpose this content into up-to-date tweets, short reels, or LinkedIn updates. 

Key Features:

• Historical social media data analysis from the past year for identifying style patterns
• Scheduling across multiple social media platforms
• Insights and engagement metrics for specific audience segments

Pros:

• Learns what tone, voice, and phrasing work best for your brand
• Provides the best tools for smaller businesses looking to scale up
• Saves significant time for smaller content teams

Cons:

• Premium pricing can be out of reach for smaller teams
• Requires strong and organized source content to provide the best results, which can be time-consuming
• Interface can feel cluttered and busy for beginners

Price: $99-199/month (depending on features and usage limits), $299/month (for agencies with multiple accounts)

Accounting and Finance: AI-Driven Automation and Insights

Looking for an intelligent assistant for your finance team? Here are a few notable AI systems in accounting.

General Bookkeeping: QuickBooks

While active for years, QuickBooks has evolved into the go-to AI bookkeeper for millions of businesses. It can automate data entry and provide financial guidance through a simple chat interface. For instance, you can ask “How did our sales do this year compared to last year?” and it’ll give you a comprehensive and actionable review. With Intuit Assist, QuickBooks can perform essential accounting tasks as your AI financial clerk and assistant. 

Key Features:

• Core accounting, such as invoicing, expense tracking, bank feeds, and reporting
• Payroll management that integrates with invoices automatically
• Comprehensive collaboration tools, such as cloud access, custom user permissions, and accountant access

Pros:

• Strong reporting features that meet and even surpass industry standards
• Different pricing tiers and versions are easily scalable for growing businesses
• Cloud accessibility makes it easy to access financial information from anywhere

Cons:

• Lacks advanced inventory control that may be insufficient for businesses with complex tracking needs
• QuickBooks Online may have industry-specific limitations 
• Some plans have limitations on the number of users, which can become costly at scale

Price: $30/month (Simple Start, 1 user), $75/month (Essentials, 3 users) $115/month (Plus, 5 users) $200/month (Advanced, 25 users)

Accounts Payable Automation: Bill.com

This financial operations platform automates accounts payable, accounts receivable, and expense management for businesses of all sizes. As a whole, Bill simplifies back-office financial operations and is a godsend for companies with a disorganized financial process and needing internal controls.

Its AI features include scanning invoices from photos and using OCR machine learning to extract pertinent details with total accuracy. Over time, Bill learns coding preferences and can eventually auto-fill or auto-suggest entities.

Key Features:

• Comprehensive payment automation through AI-driven invoice capture, flexible payment options, and a centralized payment hub
• Robust internal controls and security through detailed audit trails
• Deep accounting integration with automatic two-way sync

Pros: 

• Significant time savings through automation of the entire bill and invoice process
• Connects to a vast network of millions of vendors
• Provides seamless and automated two-way synchronization with accounting software

Cons:

• Slower check and ACH processing compared to other platforms
• Customizing chart of accounts may take background knowledge and may require a certified partner
• Less focus on core accounting

Price: $45/month/user for AP/AR software, varying fees for certain payment types (for example, $0.49 per ACH transaction)

AI Financial Analysis and Insights: BloombergGPT

What traditionally took analysts hours, days, or even weeks to digest vast amounts of financial data only takes BloombergGPT minutes. This 50-billion-parameter large language model (LLM) can understand financial terminology and context like an expert would, allowing traders and analysts to access information faster. 

Key Features:

• Domain-specific training on a dataset of over 700 billion tokens
• High performance on financial tasks like sentiment analysis and named entity recognition
• Financial task specialization 

Pros:

• Superior financial expertise that significantly outperforms other open models
• Excels at general-purpose language tasks alongside finance tasks
• Boosts operational efficiency through improved workflows

Cons:

• Limited availability, as it’s not available as a general public API
• Unknown cost for end users
• High development cost

Price: For use only within the Bloomberg Terminal, which can cost up to $24,000/year

Best Practices for AI Adoption

AI tools are only as effective as how you utilize them. Below are some best practices for integrating AI into your business infrastructure. 

Define Clear Objectives and KPIs

Align AI initiatives with clear business goals, like increasing online sales through AI-driven recommendations or improving customer satisfaction through AI chatbots. Ways to narrow these objectives include: 

• Identifying high-impact areas: Begin by focusing on functions where AI can automate significant yet straightforward tasks.

• Setting SMART goals: Define outcomes that are specific, measurable, achievable, relevant, and time-bound.

Start Small, Then Scale Intelligently

Launch pilot projects that minimize risk and offer opportunities for learning. For instance, consider rolling out an AI chatbot for a specific department or automating a simple process to gather data-driven insights. 

Pinpoint projects with a defined ROI and low disruption, such as product recommendations. Suppose you’re a small eCommerce retailer. You can pilot an AI product-recommendation engine to increase cart sizes.  

According to a report by McKinsey and Company, 78% of companies use AI in at least one business function. Within these companies, properly implemented AI tools increased throughput by 66%.

Build a Strong Data Foundation

Auditing data ensures everything is accurate, complete, and up-to-date. Remove errors and biases before feeding them to models, creating pipelines to integrate data from different sources. When properly implemented, 

Don’t forget to enforce data governance either. Establish clear security and privacy rules to determine who can access each dataset. From there, unify data sources to create a cohesive foundation for your AI tool. The OECD finds that higher AI adoption improves labor production and reduces defects, but only when data processes are sound and protected. 

Upskill Teams and Promote AI Literacy

Teams should have foundational knowledge of the AI tools they integrate. Provide hands-on training, encourage experimentation, and organize internal AI hackathons to test privacy.

Train teams on responsible use, including models on fairness and transparency. Create an environment conducive to learning and asking questions.

Establish Ethical and Responsible AI Use

Draft an internal AI ethics policy with guidelines that iterate your principles. Define who reviews and approves AI-generated content and decisions, especially for highly sensitive tasks. 

Remember to treat AI not as a replacement tool, but as an assistive software, creating a human-in-the-loop process that guarantees accurate, reliable results. 

Prioritize Integration, Not Isolation

Embed AI tools into existing systems to keep things smooth and to minimize disruptions. API-based architectures are key. For instance, you can integrate a ChatGPT-style assistant into your CRM or helpdesk to break down silos and improve workflows. 

At Igloo, we integrate marketing and tech services through our hands-on SEO strategies that drive revenue and results. 

Monitor ROI and Performance Continuously

Track results rigorously, defining which KPIs you’ll monitor closest. Establish your reporting process early and measure defined outcomes, such as reduced handling time or higher sales. Then, compare pre- and post-AI performance to quantify and qualify gains. Research shows that companies often see 20-40% efficiency improvements within a few months of deploying AI tools.

Keep Iterating  

While AI is no longer in its infancy, it’s changing and improving faster than ever before. Adopting AI is an ongoing journey that requires periodic reviews (at least every six to 12 months) for reassessing workflows, tools, and outcomes. 

Embrace new tools and features as they are released, piloting new models and plugins in low-risk areas. McKinsey also underscores the importance of encouraging internal innovation, as most firms have reported needing ongoing efforts and reviews to make the most of their AI tools.

The Bottom Line

AI tools are today’s new reality, amplifying business efforts for faster decisions, more innovative marketing, and more personalized customer experiences. Still, success lies in how intentionally you use these AI tools. They aren’t replacements; they’re people-powered. 

As a forward-thinking marketing consultant, Igloo can help your brand cut through the AI noise and design intelligent systems that work for your business goals. Book a free strategy call to find out how we can help you automate customer journeys and make your AI adoption process practical, profitable, and inherently human.