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Discover how partnering with an ai consulting agency can drive innovation, optimize processes, and give your business a competitive edge in the AI-driven future.

Unlocking Business Potential: The Power of AI Consulting Agencies

In today’s business world, staying ahead often means using the latest technologies. This is where an AI consulting agency comes in. These agencies help you use AI, boosting your productivity and gaining a competitive edge. Let’s explore how to select the right AI consulting agency for your AI solutions.

Understanding the AI Consulting Landscape

AI is reshaping industries. An ai consulting agency provides expert guidance on integrating AI into your business operations. They offer AI advisory services, ranging from developing AI strategies and model development to implementing AI-powered solutions and providing ongoing support.

They can act as your technology consulting partner to achieve scalable growth.

What to Look for in an AI Consulting Agency

Choosing an AI consulting agency is an important decision. Here’s what makes an agency stand out:

Technical Expertise

Look for an agency with a deep understanding of AI methodologies, including machine learning, natural language processing, and computer vision. They should also be proficient in different technologies, programming languages, and AI frameworks.

Data privacy is critical. Your AI consulting firm must be knowledgeable about data encryption and privacy standards for responsible AI development.

Strategic Approach

An effective AI consulting agency collaborates with you to develop an AI strategy. This strategy should align with your business goals. A clear implementation plan is also necessary.

Experience and Portfolio

Examine the agency’s experience in various industries, especially yours. Look for a solid portfolio showcasing successful AI implementations and case studies.

Ask for references. Understanding the agency’s ability to deliver results is crucial. LeewayHertz, for instance, features work with ESPN, Shell, and other large companies.

Maintenance and Support

Implementation is just the start. Ongoing support, maintenance, and training are essential. A good agency provides continued assistance and advisory services.

The Value of AI Consulting

Investing in AI consulting services offers several benefits:

Enhanced Decision Making

AI systems quickly analyze large amounts of data. This analysis enables fast, data-driven business decisions. This empowers businesses to adapt to dynamic market conditions.

Improved Operational Efficiency

AI can automate repetitive tasks, improving operational efficiency. This allows employees to focus on strategic work. This helps achieve scalable growth within your organization.

PwC’s research shows AI’s potential to transform industries by 2030.

Competitive Advantage

Embracing AI can give your business an edge. You can outperform competitors and grow faster. An AI strategy can provide significant value to your company.

The AI consulting market is growing rapidly. It is predicted to reach $64.3 billion by 2028.

Choosing the right partner involves considering your needs. This includes business goals, organization size, hourly rate, company location, and project examples.

CompanyHourly RateCompany SizeFoundedLocationProject Examples
LeewayHertz$25-5050-2492007N/AESPN, Shell, P&G
Markovate$25-4951-1002015San Francisco, USAAisle 24, NVMS, TFSB
Azati$25-49100-1502001Livingston, NJ, USAInfura, Alethio
DataTech.ai$25-4951-2002017Hong KongDRun, Dtalk, ClickABite
Telstra Purple$100-200100-2002016NorwayTelstra, Innoverse
Deeper Insights$50-$9910-492014London,UKMarine Judge, Quant Insight
Sirius$25,000+1001-50001980San AntonioHonolulu
Fayrix$10-251,000-9,9992005IsraelS7 Airlines
ExaWizards Inc$50-9951-2002016TokyoDenso, Persol
7EDGEN/AN/AN/AN/AN/A

FAQs about ai consulting agency

How much does an AI consultant cost?

The cost of AI consulting services depends on project scope, expertise, and location. Hourly rates can range from $25 to $200+ or higher. Project-based fees can exceed $25,000, potentially impacting project budgets.

What is an AI consulting firm?

An AI consulting firm helps businesses implement and utilize AI. They offer a variety of services, including data engineering services, chatbot development, AI implementation, and data analytics.

How much does an AI consultant make?

An AI consultant’s salary depends on experience, project type, and location. Providing an average requires more specific criteria due to market variations and individual skillsets.

How do I become an AI consultant?

Becoming an AI consultant often requires a background in computer science, data science, or mathematics. Practical experience with AI projects is also valuable for offering effective advisory services. Advanced analytics experience and other data engineering skills can also contribute to career development.

Unlocking the Future with AI Consulting

An ai consulting agency can drive growth and future success. AI transforms various business functions. Choosing the right AI consulting agency enhances productivity, decision-making, and competitive advantage. This helps organizations excel in the evolving business landscape.

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Elevate Your Marketing With Artificial Intelligence Techniques: Strategies, Benefits, and Implementation Artificial intelligence marketing leverages machine learning, predictive analytics, and natural language processing to transform how businesses engage audiences, optimize conversion paths, and measure ROI. Marketers often struggle with fragmented data, low conversion rates, and impersonal messaging; AI techniques address

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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.
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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.

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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