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Boost Efficiency with an AI Business Consultant

Considering an AI business consultant? It’s a smart move given AI’s rise. This technology is everywhere, but finding the right consultant can be tough. This guide provides a comprehensive look at AI business consulting, offering actionable insights and covering various aspects from defining the role to selecting the right consultant.

What is an AI Business Consultant?

An AI business consultant helps companies leverage AI for business improvement. They translate complex AI technology into practical business solutions. Additionally, they guide change management for a smooth AI integration.

Why Consider an AI Business Consultant?

The AI landscape is complex and constantly evolving. Staying current and choosing the right AI solutions is challenging. A consultant provides expertise and keeps your team on the cutting edge.

Consultants offer specialized AI knowledge, saving you time and money. Their external perspective reveals opportunities and challenges you might miss.

AI consultants at firms like LeewayHertz offer AI development, integration, and consulting services.

How to Choose an AI Business Consultant

First, define your AI goals. What business problems do you want AI to solve?

Review the consultant’s experience. Have they worked with similar businesses or industries? Do their skills and services align with your needs?

Discuss goals, budget, and timeline upfront. A good consultant addresses scalability from the start.

What Does an AI Business Consultant Do?

An AI business consultant integrates AI into business strategies and operations. They assess needs, recommend AI solutions, and develop custom AI applications. They also help build frameworks for AI integration into operations.

Beyond technical aspects, they assist with change management during AI adoption. Their aim is to ensure a seamless and efficient integration process, impacting business processes, customer service, decision-making, and more. They may leverage techniques like data analytics and machine learning to create more impactful solutions.

Areas Where AI Business Consultants Offer Support:

  • Business Process Optimization.
  • Customer Service Improvement.
  • Predictive Analytics for Decision-Making.
  • Data-Driven Insights.
  • AI Solution Development.
  • Change Management during AI Integration.

The Growing Need for AI Business Consulting

AI is transforming business operations and strategy, fueling the demand for AI business consulting. Businesses face disruption, from exploring AI’s potential to adapting processes.

Uncertainty about how and why to implement AI is common. Adapting to new technology and processes poses another hurdle. Over half of large companies engage AI consultants to address these issues and unlock the benefits of artificial intelligence.

Case Study: AI Operations at DiviUp

AI isn’t abstract—companies use it for real business gains. DiviUp exemplifies this. AI operations specialist Rachel Woods founded DiviUp to leverage AI for B2B and marketing challenges.

DiviUp’s success shows practical AI expertise exists. It demonstrates how entrepreneurs navigate the AI landscape, bringing AI solutions to businesses. This case study proves the transformative potential of AI integration within the business realm, bridging innovation and implementation.

Finding the Right AI Business Consultant for Your Business

FactorConsiderations
Hourly RateRates vary from $25-$200+/hr based on expertise, project scope, and company size. Top companies like LeewayHertz, trusted by Fortune 500s, may charge higher fees. They are known for offering comprehensive advisory services.
Company SizeSize ranges from small firms to large corporations, affecting cost and access to leadership. Some prefer personalized consulting from independent consultants like Jared Bonilla of DoINeedAI.com, offering even AI bootcamps. His agency, DiviUp, shows affordability for smaller businesses.
Years in BusinessA firm’s maturity and specialization matter. Established AI consulting firms like Deeper Insights offer practical AI solutions, specializing in data science and machine learning (ML) across the UK and EU. Consider their portfolio when focusing on specific domains like sustainable finance or consumer products.
Portfolio and Client BasePartnerships with big brands indicate performance and specialization. LeewayHertz, a global AI consulting and solutions provider, boasts partnerships with giants like P&G, NASCAR, ESPN, and Shell. They provide development company expertise and help to leverage existing asset management infrastructure for optimal AI integration.

FAQs about ai business consultant

What does an AI business consultant do?

An AI business consultant guides companies in utilizing AI. This includes identifying AI opportunities and selecting suitable AI services to enhance their operations, customer experience, and overall digital transformation. They play a critical role in strategy consulting and help align AI solutions with business objectives. Their advisory services may encompass areas such as supply chain optimization, data protection strategy, risk management framework implementation, and advanced analytics techniques like predictive modeling. Often times an AI business consultant is a development company who is focused on creating artificial intelligence solutions for their clients.

How much does an AI consultant cost?

AI consultant costs vary based on expertise, project scope, and duration. Hourly rates range from $25 to over $200, according to LeewayHertz. It’s important to clarify the pricing structure upfront and factor in the potential return on investment (ROI) that the AI solutions may generate. Some firms offer managed services with flexible pricing options depending on client requirements.

How much does an AI consultant make?

AI consultant salaries vary depending on experience, location, and other factors. Those with specialized skills in high-demand areas such as generative AI, model development, and AI deployment can command higher compensation. Additionally, experience in specific industry verticals like financial services, life sciences, or public sector can impact earnings potential. This rapidly growing field continues to witness an increased need for expertise, influencing compensation levels based on experience, certifications, and successful implementations of AI strategies.

How do you become an AI consultant?

Becoming an AI consultant involves education and skill development in areas such as data analytics, machine learning, and AI development. Relevant degrees and online courses are beneficial. Building practical experience through projects and certifications strengthens your profile. Some consultants also focus on areas such as sustainability services, corporate finance, tax accounting and commercial strategy to enhance their offering in AI business consulting.

Recap and Next Steps

The AI field changes rapidly. The right AI business consultant helps navigate these changes, keeping you ahead of the competition. They provide AI integration and model development support, as well as offering sector strategy and ESG strategy advisory services. An AI business consultant may even be able to provide risk consulting services. An AI business consultant will even offer consultancy services and other advisory services.

Embracing AI is a significant decision, even for small firms. Planning for the future and understanding the impact of AI disruption is vital. Preparing for these changes now will position you for success in the evolving digital landscape. Choosing an experienced partner can significantly benefit your company’s adoption of AI, whether you require assistance with AI solution implementation or transformation services.

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Lee Pomerantz

Lee Pomerantz

Lee Pomerantz is the founder of eMediaAI, where the mantra “AI-Driven, People-Focused” guides every project. A Certified Chief AI Officer and CAIO Fellow, Lee helps organizations reclaim time through human-centric AI roadmaps, implementations, and upskilling programs. With two decades of entrepreneurial success - including running a high-performance marketing firm - he brings a proven track record of scaling businesses sustainably. His mission: to ensure AI fuels creativity, connection, and growth without stealing evenings from the people who make it all possible.

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Mini Case Study: Personalized AI Recommendations Boost E-Commerce Sales | eMediaAI

Mini Case Study: Personalized AI Recommendations
Boost E-Commerce Sales

Problem

Competing with giants like Amazon made it difficult for a small but growing e-commerce brand to deliver the kind of personalized shopping experience customers expect. Their existing recommendation engine produced generic suggestions that ignored customer intent, seasonality, and browsing behavior — resulting in low conversion rates and high cart abandonment.

Solution

The brand implemented a bespoke AI recommendation agent that delivered real-time personalization across their digital storefront and email campaigns.

  1. The AI analyzed browsing history, purchase patterns, session duration, abandoned carts, and delivery preferences.
  2. It then generated dynamic product suggestions optimized for cross-selling and upselling opportunities.
  3. Personalized recommendations extended to marketing emails, highlighting products relevant to each customer's unique shopping journey.
  4. The system continuously improved by learning from user engagement and conversion outcomes.

Key Capabilities: Real-time personalization • Behavioral analysis • Cross-sell optimization • Continuous learning from user engagement

Results

Average Cart Value

+35%

Increase driven by intelligent upselling and cross-selling.

Email Conversion

+60%

Lift in email conversion rates with personalized product highlights.

Cart Abandonment

Reduced

Significant reduction in cart abandonment, boosting total sales performance.

ROI Timeline

3 Months

The AI system paid for itself through improved revenue efficiency.

Strategy

In today's market, one-size-fits-all recommendations no longer work. Tailored AI systems designed around your customer data deliver the kind of personalized, dynamic experiences that drive loyalty and repeat purchases — helping niche e-commerce brands compete effectively against industry giants.

Why This Matters

  • Customer Expectations: Modern shoppers expect Amazon-level personalization regardless of brand size.
  • Competitive Edge: AI-powered recommendations level the playing field against larger competitors.
  • Data-Driven Insights: Continuous learning means the system gets smarter with every interaction.
  • Revenue Multiplication: Small improvements in conversion and cart value compound dramatically over time.
  • Customer Lifetime Value: Personalized experiences drive repeat purchases and brand loyalty.
Customer Story: AI-Powered Video Ad Production at Scale

Marketing Team Generates High-Quality
Video Ads in Hours, Not Weeks

AI-powered video production reduces campaign creation time by 95% using Google Veo

Customer Overview

Industry
Travel & Entertainment
Use Case
Generative AI Video Production
Campaign Type
Destination Marketing
Distribution
Digital & In-Flight

A marketing team responsible for promoting global travel destinations needed to produce a constant stream of fresh, high-quality video content for in-flight entertainment and digital advertising campaigns. With hundreds of destinations to showcase across multiple markets, traditional production methods couldn't keep pace with demand.

Challenge

Traditional production — involving creative agencies, travel shoots, and post-production — was costly, time-consuming, and logistically complex, often taking weeks to produce a single 30-second ad. This limited the team's ability to adapt campaigns quickly to market trends or seasonal travel spikes.

Key Challenges

  • Traditional video production required 3–4 weeks per 30-second ad
  • Physical location shoots created high costs and logistical complexity
  • Limited content volume constrained campaign variety and testing
  • Slow turnaround prevented rapid response to seasonal travel trends
  • Agency dependencies created bottlenecks and budget constraints
  • Maintaining brand consistency across dozens of destination videos

Solution

The marketing team implemented an AI-powered video production pipeline using Google's latest generative AI technologies:

Google Cloud Products Used

Google Veo
Vertex AI
Gemini for Workspace

Technical Architecture

→ Destination selection & campaign brief
→ Gemini for Workspace → Script generation
→ Style guides + reference imagery compiled
→ Google Veo → Cinematic video generation
→ Human review & approval
→ Deployment to digital & in-flight channels

Implementation Workflow

  1. The team selected a destination to promote (e.g., "Kyoto in Autumn").
  2. They used Gemini for Workspace to brainstorm and generate a compelling 30-second video script highlighting the city's cultural and visual appeal.
  3. The script, along with style guides and reference imagery, was fed into Veo, Google's generative video model.
  4. Veo produced a high-quality cinematic video clip that captured the desired tone and visuals — all in hours rather than weeks.
  5. The final assets were quickly reviewed, approved, and deployed across digital channels and in-flight entertainment systems.
Example Campaign: "Kyoto in Autumn"

Script generated by Gemini highlighting cultural landmarks, fall foliage, and traditional experiences. Veo created cinematic footage showing temples, cherry blossoms, and street scenes — all without a physical production crew.

Results & Business Impact

Time Efficiency

95%

Reduced ad production time from 3–4 weeks to under 1 day.

Cost Savings

80%

Eliminated physical shoots and editing labor, saving ≈ $50,000 annually for mid-size campaigns.

Creative Scalability

10x Output

Enabled production of dozens of destination videos per month with brand consistency.

Engagement Lift

+25%

Increased click-through rates on destination ads due to richer, faster content rotation.

Key Benefits

  • Rapid campaign iteration enables A/B testing and seasonal responsiveness
  • Dramatically lower production costs allow coverage of niche destinations
  • Consistent brand voice and visual quality across all generated content
  • Reduced dependency on external agencies and production crews
  • Faster time-to-market improves competitive positioning in travel marketing
  • Environmental benefits from eliminating unnecessary travel and location shoots

"Google Veo has fundamentally changed how we approach video content creation. We can now test dozens of creative concepts in the time it used to take to produce a single video. The quality is cinematic, the turnaround is lightning-fast, and our engagement metrics have never been better."

— Director of Digital Marketing, Travel & Entertainment Company

Looking Ahead

The marketing team plans to expand their AI-powered production capabilities to include:

  • Personalized destination videos tailored to customer preferences and travel history
  • Multi-language versions of campaigns generated automatically for global markets
  • Real-time content updates based on seasonal events and local festivals
  • Integration with customer data platforms for hyper-targeted advertising

By leveraging Google Cloud's generative AI capabilities, the organization has transformed video production from a bottleneck into a competitive advantage — enabling creative agility at scale.

Customer Story: Automated Podcast Creation from Live Sports Commentary

Sports Broadcaster Transforms Live Commentary
into Same-Day Highlight Podcasts

Automated podcast creation reduces production time by 93% using Google Cloud AI

Customer Overview

Industry
Sports Broadcasting & Media
Use Case
Content Automation
Size
Mid-sized Sports Network
Region
North America

A regional sports broadcaster manages hours of live event commentary daily across multiple sporting events. The organization needed to transform raw commentary into engaging, shareable content that could be distributed to fans immediately after events concluded.

Challenge

Creating highlight reels and post-event summaries manually was slow and resource-intensive, often taking an entire production team several hours per event. By the time the recap was ready, fan interest and social engagement had already peaked — leading to missed opportunities for timely content distribution and reduced viewer retention.

Key Challenges

  • Manual transcription and editing required 5+ hours per event
  • Delayed content release reduced fan engagement and social media reach
  • High production costs limited content output for smaller events
  • Inconsistent quality across multiple simultaneous events
  • Limited scalability during peak sports seasons

Solution

The broadcaster implemented an automated podcast creation pipeline using Google Cloud AI and serverless technologies:

Google Cloud Products Used

Cloud Storage
Speech-to-Text API
Vertex AI
Cloud Functions

Technical Architecture

→ Live commentary audio → Cloud Storage
→ Cloud Function trigger → Speech-to-Text
→ Time-stamped transcript generated
→ Vertex AI analyzes transcript for exciting moments
→ AI generates 30-second highlight scripts
→ Polished podcast ready for distribution

Implementation Workflow

  1. Live commentary audio was captured and stored in Cloud Storage.
  2. A Cloud Function triggered Speech-to-Text to generate a full, time-stamped transcript.
  3. The transcript was sent to a Vertex AI generative model with a prompt to detect the top 5 exciting moments using cues like keywords ("goal," "crash," "overtake"), exclamations, and sentiment.
  4. Vertex AI generated short 30-second highlight scripts for each key moment.
  5. These scripts were converted into audio using text-to-speech or recorded by a human host — producing a polished "daily highlights" podcast in minutes instead of hours.

Results & Business Impact

Time Savings

93%

Reduced highlight production from ~5 hours per event to 20 minutes.

Cost Reduction

70%

Automated workflows cut production costs, saving an estimated $30,000 annually.

Fan Engagement

+45%

Same-day release of highlight podcasts boosted daily listens and social media shares.

Scalability

Multi-Event

System scaled effortlessly across multiple sports events year-round.

Key Benefits

  • Same-day content delivery captures peak fan interest and engagement
  • Smaller production teams can maintain consistent output across multiple events
  • Automated quality and formatting ensures professional results at scale
  • Reduced time-to-market improves competitive positioning in sports media
  • Lower operational costs enable coverage of more sporting events

"Google Cloud's AI capabilities transformed our production workflow. What used to take our team an entire afternoon now happens automatically in minutes. We're able to deliver content while fans are still talking about the game, which has completely changed our engagement metrics."

— Head of Digital Content, Sports Broadcasting Network