Generative AI

In today’s competitive landscape, businesses face increasing pressure to incorporate gen AI solutions into their businesses. However, many lack the internal resources and expertise required to develop these solutions effectively. Beyond technical implementation, there's a crucial need to identify which generative AI applications will offer the highest return on investment.

That's where Mission Cloud comes into play. As an AWS Premier Tier Partner with a proven track record in AI expertise, we've successfully delivered over 50 unique generative AI projects.

In This Playbook You'll Learn...

• How Mission Cloud can lead your customers' generative AI projects and why we are the right gen AI partner
• Sales Plays for thirteen common gen AI use cases. Each sales play includes an ideal customer profile, common verticals, pitching techniques for each use case, a marketplace offer, email nurtures, and examples of customer success stories
• How to increase the likelihood of generative AI POCs transitioning to production and an outline of Mission Cloud’s process ensuring a smooth and successful transition
• Available funding opportunities to accelerate your customers' gen AI adoption.

We have extensive expertise of generative AI, having developed over 70 unique solutions in 2024 across various use cases

Our DAML team is led by Dr. Ryan Ries, our Chief AI and Data Scientist, with over 20 years of experience working with AI

Mission is a highly trusted generative AI partner of AWS. Our gen AI customer story, MagellanTV, was featured during Ruba Borno’s keynote at re:Invent 2023

We are one of the few launch partners for the AWS Generative AI Competency

 1-Liner 

Using AWS services like Polly, Transcribe, and Translate, along with an LLM, you can create an automated dubbing and translation pipeline for taking any content and recreating it in another language.

 Ideal Customer Profile 

• Anyone with an international audience (or looking to expand to one)
• Anyone already utilizing a traditional dubbing / translation pipeline for content or with a large content backlog they plan to translate
• Verticals: TMEGS, Travel, Communications, and eLearning businesses
  

 How to Pitch 

• The efficiency gains are so large that they enable customers to pursue global audiences much earlier and grow faster
• This lets customers take risks in untested markets at a much lower entry price
• Generated voice fidelity is rapidly improving—we are already trying approaches that can emulate particular emotional tones, affects, and speaking cadences
• As higher fidelity markets adopt these technologies, like feature films or triple-A gaming, partners that can integrate AWS’s native ML stack, advances in NLP, and LLMs will build the best pipelines

Mission Cloud has developed a solution that allows MagellanTV to expand its international presence and audience efficiently while delivering high-quality, accessible content. The solution proficiently translates and dubs English documentaries into any language, using multiple workflows: English-to-English translation of slang and idioms, sentence shortening after translation, and cultural sensitivity. MagellanTV has gained significant cost savings, bringing translation costs for documentaries from $20 per minute to $1 per minute.

Discover Our Markplace Offer

AWS Services

• Amazon Translate*
• Amazon Transcribe*
• Amazon Polly*
• Amazon Bedrock*

* Qualifies for double revenue

 1-Liner 

Some large language models operate by creating images instead of text. By pairing a foundation model like StableDifussion with SageMaker and Bedrock for training and S3 for storage, you can create an asset creation and management solution for creating, enhancing, and modifying product and marketing photography.

 Ideal Customer Profile 

• Anyone looking to enrich their product photography or significantly scale up their asset pipeline
• Anyone working with traditional photography workflows that could benefit from prototyping/experiment gains
• Verticals: Retail & CPG, Travel & Hospitality, Real Estate & Construction, TMEGS

 How to Pitch 

• AI-generated image applications are more than plunking a model down and prompting it; you need an experienced partner to create the right guardrails around what the model can generate to ensure brand appropriateness
• Creating an interface that is easily operable by customer stakeholders is critical; we integrate AppDev developers to create custom UIs for our solutions
• Customers need to know how to use more advanced modification techniques to get what they want, not just re-prompting; through knowledge transfer, we teach them how to own and operate the solution
• Mission Cloud works backward with customers to incorporate gen AI into their existing workflows; opportunities to replace processes are great, but enhancing can matter just as much

Mission Cloud’s AI solution allows Mixbook customers to create customizable photo books with generated images set to recognize user preferences and context. New AI features include caption creation, storyline generation, embellishments, and autoscaling for printing. This customer use case was featured on AWS Innovate 2024.

Discover Our Markplace Offer

AWS Services

• Amazon SageMaker*
• Amazon Bedrock*

* Qualifies for double revenue

 1-Liner 

Gen AI not only lets you create marketing content—it helps you completely personalize content, like avatars/digital humans and podcasts, and improve marketing automation. With gen AI, you can react in real time to changes in customer sentiment by integrating with AWS services like SES, Pinpoint, Kinesis, and Lambda.

 Ideal Customer Profile 

• Anyone with a high CAC (Customer Acquisition Cost)
• Anyone looking to improve their DemandGen capabilities
• Anyone in a market that values response time for winning deals
• Verticals: Retail & CPG, Marketing & Advertising, ISVs, TMEGS, Travel & Hospitality

 How to Pitch 

• Rather than outsourcing to a SaaS, this builds the customer's marketing automation on AWS natively
• Creates a far more scalable way to segment audiences, even to the point of making atomic, per-individual segments
• Helps a customer leverage audience data that might be hard to use (unstructured data) and build more meaningful profiles / segments
• Mission Cloud can help build systems to automate how content is differentiated on a per-customer basis

Mission Cloud created an AI generated video and audio solution for the MBA team that allows users to clone their voices, create avatars/digital humans, and generate scripts that would be representative of a celebrity.

Discover Our Markplace Offer

AWS Services

• Amazon SES
• Amazon Pinpoint
• Amazon Kinesis
• AWS Lambda

 1-Liner 

Gen AI transforms call centers by getting agents to the right information faster, summarizing previous calls, providing critical context, and sweeping knowledge bases for answers to help resolve the issue. Combining these AI capabilities with AWS services such as Amazon Lex and Amazon Connect call centers can streamline interactions and ensure precise, consistent, and rapid customer service.

 Ideal Customer Profile 

• Anyone with a large customer service business unit
• Anyone operating a call center and looking to improve operations/efficiency
• Verticals: Retail & CPG, Travel & Hospitality

 How to Pitch 

• Generative AI can be adopted by call centers gradually, as there are many smaller use cases for it that can be combined
• The faster an agent can answer or leave the answer entirely to an AI, the fewer agents it takes to effectively run the call center
• This kind of automation means increasing the customer’s AWS footprint while simultaneously lowering their call center overhead
• In order to execute on this use case, the customer needs a strong handle on retrieval-augmented generation, vector databases, and engineering to avoid hallucinations; Mission Cloud has done all of these
• Ragnarock, Mission Cloud’s branded architectural approach, generates and embeds a large number of query variants into the model to ensure accuracy when generating answers

Mission Cloud built a solution to fully automate Workato’s IT help desk resolution process. Sagemaker and Bedrock provided the fully managed infrastructure, tools, and workflows. By leveraging generative AI, the automated solution was able to analyze an issue, make a diagnosis, and resolve how to correct the problem.

Discover Our Markplace Offer

AWS Services

• Amazon Lex*
• Amazon Connect*

* Qualifies for double revenue

Leverage Our Email Nurtures

 1-Liner 

Query your organizational knowledge from a single UI by having a natural language conversation with a chatbot. With AWS services like Amazon Lex, Amazon SageMaker, and AWS Lambda in combination with open-source agentic frameworks like LangChain and techniques like retrieval-augmented generation, AI-powered platforms can disseminate organizational knowledge more effectively than ever.

 Ideal Customer Profile 

• Anyone looking to enrich their product’s interactivity
• Anyone who’s product has a steep learning curve
• Anyone with a knowledge or data-oriented product (dashboards, visualizations)
• Anyone looking to improve their customer support experience
• Anyone with a large amount of institutional knowledge/data they’d like to make more accessible
• Verticals: Retail & CPG, ISV, DNB

 How to Pitch 

• Internal tooling can be a low-risk first project candidate; once accuracy has reached an acceptable threshold, you can easily graduate to a customer-facing interface
• In order to execute on this use case the customer needs a strong handle on retrieval-augmented generation, vector databases, and engineering to avoid hallucinations; we’ve done all of these
• Ragnarock, Mission Cloud’s branded architectural approach, generates and embeds a large number of query variants into the model to ensure accuracy when generating answers

Fexa turned to Mission Cloud to build a generative AI solution that could help reduce the number of maintenance service calls that can be answered and solved in a quicker, less expensive way. Mission Cloud used Amazon Bedrock, Anthropic Claude 2, and Amazon Kendra for the AI model, while Streamlit facilitated the front-end interface, and LangChain served as an orchestrator to bring everything together. The solution saved both time and money for Fexa and its customers, inspiring further innovation and optimization within the platform.

Discover Our Markplace Offer

AWS Services

• Amazon Lex*
• Amazon SageMaker*
• AWS Lambda

* Qualifies for double revenue

Leverage Our Email Nurtures

 1-Liner 

Intelligent document processing (IDP) works with document data using machine learning techniques, AWS Services like Textract and Comprehend, data analytics, and large language models to help with tasks that might otherwise require human readers or writers.

 Ideal Customer Profile 

• Anyone doing mission-critical work on large volumes of paperwork and relying on manual processes/people to get it done
• Anyone whose business is rate-limited by their ability to process paperwork
• Verticals: Legal, Healthcare & Life Sciences, Fintech & Finance

 How to Pitch 

• These solutions can save customers $$$ while getting them more invested in AWS, and Mission Cloud has built many of these solutions before
• We only use AWS-native ML services and prefer Bedrock for accessing LLMs
• We maintain compliance and privacy standards when working with sensitive documents—and we can meet these standards even when working with an LLM
• The customer gets a turnkey solution that meets their accuracy, throughput, and other output criteria
• Mission’s practice builds it all—from the underlying data architecture all the way through to prompt tuning and LLMOps for post-launch

Mission Cloud helped RecordBoss automate document summarization for their level three products, cutting costs and reducing manual effort. By using natural language processing algorithms, they efficiently handled various document types and structures. This automated process not only saved RecordBoss money by eliminating expensive manual reviews but also improved efficiency, enabling quicker decisions on case viability and freeing up resources for other critical tasks.

Confidential - For AWS Only

Discover Our Markplace Offer

AWS Services

• Amazon Textract*
• Amazon Comprehend

* Qualifies for double revenue

 1-Liner 

Some customers require a model specifically trained over their dataset to significantly change the model’s responses, biases, and effectiveness for a particular type of work.

 Ideal Customer Profile 

• Customers already attempting to train their own models and are comfortable with the associated costs of training and hosting
• Anyone working on the very outside-of-the-box use case requiring extreme specialization or novel machine-learning techniques in their model

 How to Pitch 

• Doing this effectively requires having an extensive familiarity with AWS’s data services and how to rapidly move large amounts of data between end points; Mission’s practice is end-to-end, encompassing everything from data architecture to model ops, and gives a customer all the skills they need to do this
• Mission has done this work before at the scale necessary to actually train a model

Mission Cloud helped the company transition from Google Cloud Platform to Amazon Web Services for cost-effective large language model training. This solution seamlessly integrated with the company's existing training framework, lowered training costs for their LLM and reduced loading times by 50%.

Confidential - For AWS Only

 1-Liner 

Ragnarock is the framework for best practices we’ve developed through building generative AI solutions on AWS. It is a combination of several techniques, a common set of patterns, and an overall architecture we’ve found particularly efficient, accurate, and effective when building generative AI solutions. The name itself is derived from the combination of Retrieval-Augmented Generation, a Neoteric* Agent, and Amazon Bedrock (RAG-NA-rock).

 Target Solutions 

• Knowledgebases & Knowledge Management
• AI Assistants
• Chatbots
• Customer Support
• Search & Research Tooling
• Generative BI
• Any Solution Using Agent Capabilities

 How to Pitch 

• Ragnarock is a cost-efficient, accurate, and secure way to build generative AI agent solutions
• By keeping all traffic local to AWS, we can greatly improve a solution's speed while also keeping data private and secure
• By using this pattern, customers can leverage data they already host on AWS to improve an agent's reasoning and research capabilities
• This pattern is a breakthrough in agent accuracy and flexibility; by using semantic distillation and meta-prompting, we greatly expand capability of an agent to accurately respond to a user's intent and interests

Benefits of Ragnarock

• Cost Efficiency (Token Usage)
• Prompting Flexibility
• Speed (Time-to-Output)
• Throughput (Generations Per Second)
• Security
• Data Privacy
• Reliability (Request Timeout / Error Handling)
• Accuracy (Hallucination Rate)
• Safety
• Leverage existing investments

Learn More About Ragnarock

 1-Liner 

Generative AI allows companies to improve their recruiting workflow and enhance candidate search accuracy and recommendations. By generating summaries and scoring systems, it streamlines tasks, improves candidate matching, and personalizes experiences. This optimization leads to increased efficiency and data-driven insights, marking a significant improvement in the recruitment process.

 Ideal Customer Profile 

• Companies with high-volume hiring needs or frequent recruitment cycles
• Organizations looking to modernize their HR and recruitment processes
• Businesses struggling with long time-to-hire or high cost-per-hire metrics
• Companies in competitive industries where talent acquisition is critical
• Verticals/Industries: Tech, Healthcare, Finance, Retail, and Professional Services

 How to Pitch 

• Emphasize customization: AWS services enable tailored recruiting solutions that adapt to unique processes and evolving needs, unlike rigid off-the-shelf options
• Highlight data control: Building on AWS ensures full ownership of sensitive recruiting data, addressing privacy concerns common with third-party solutions
• Showcase scalability: AWS's pay-as-you-go model allows the solution to grow cost-effectively with the company, avoiding long-term commitments
• Stress seamless integration: Custom solutions on AWS can easily connect with existing systems, preventing data silos
• Demonstrate the potential for continuous innovation: As AWS regularly releases new AI/ML services and features, companies can easily incorporate these advancements into their recruiting solution, staying ahead of the curve

Mission Cloud worked with Jobvite to develop an AI-powered interview question generator utilizing large language models. Mission built out the underlying architecture for the interview question generator and reviewed outputs for consistency, fairness, and relevance to the job description. The solution allowed users to upload job descriptions and resumes and receive a list of questions tailored to their needs.

Leverage Our Email Nurtures

 1-Liner 

Generative BI is truly an application of generative AI models to typical business intelligence workflows to enhance those workflows by making them more powerful, accessible, and meaningful.

 Ideal Customer Profile 

• Organizations with large volumes of complex data seeking deeper insights
• Companies looking to democratize data access across various departments
• Businesses struggling with traditional BI tools' limitations in data interpretation
• Organizations aiming to make data-driven decisions more quickly and accurately
• Verticals: Finance, Healthcare, Retail, Manufacturing, and Technology

 How to Pitch 

• Showcase how AWS's AI services can transform traditional BI into an interactive, conversational experience, making data insights accessible to non-technical users across the organization
• Emphasize the ability to generate natural language explanations of complex data trends, helping decision-makers understand insights more quickly and thoroughly
• Demonstrate how generative BI on AWS can uncover hidden patterns and correlations in data, potentially leading to new business opportunities or efficiency gains
• Highlight the advantages of building a custom solution on AWS, including full data control, seamless integration with existing systems, and the flexibility to adapt to unique business needs - benefits not typically available with off-the-shelf AI BI solutions
• Stress the scalability and real-time processing capabilities of AWS, enabling faster decision-making as the company's data needs grow

Mission Cloud collaborated with FalconX to develop an AI-driven visualization solution for near real-time market data. Leveraging AWS infrastructure, they integrated services like Amazon Bedrock and Amazon SageMaker. This solution empowered FalconX traders to receive dynamic visualizations summarizing market insights instantly, showcasing the potential for powerful analysis without manual coding.

 1-Liner 

Detect sensitive elements in images such as PII, automatically remove or blur these elements to ensure privacy, or even insert non-sensitive content into the image where this sensitive information was removed, to maintain the integrity of the image.

 Ideal Customer Profile 

• Organizations handling large volumes of images containing potentially sensitive information
• Companies in industries with strict privacy regulations or data protection requirements
• Businesses seeking to automate their image anonymization processes
• Organizations looking to share or publish images while protecting individual privacy
• Verticals: Healthcare, Finance, Legal, Government, Media & Entertainment

 How to Pitch 

• Emphasize flexibility: The solution allows customization to detect and handle various types of sensitive information based on specific needs and industry requirements
• Stress integration and adaptability: Building on AWS provides fine-grained control over the anonymization process, easy integration with existing workflows, and the ability to adapt to evolving privacy regulations
• Showcase intelligent manipulation: Demonstrate advanced features like context-aware blurring and AI-driven content replacement, which preserve image integrity and aesthetics while ensuring robust privacy protection
• Showcase accurate detection: AWS's AI services like Rekognition and SageMaker can precisely detect and locate sensitive information in images, ensuring thorough privacy protection
• Highlight automation: AWS Lambda and Step Functions create a scalable, serverless workflow for efficiently processing large volumes of images

Ideal Image, a prominent medspa brand, is working with Mission to enhance user experience with the use of generative AI. The solution will allow clients to upload images, specify desired improvements, and visualize potential procedure results, thereby differentiating Ideal Image and improving client outcomes.

Confidential - For AWS Only

 1-Liner 

Accelerate and reduce costs in the drug discovery process through molecule generation, predictive models, data analysis, and personalized medicine.

 Ideal Customer Profile 

• Pharmaceutical companies looking to streamline their drug discovery process
• Biotech startups seeking to leverage AI for innovative drug development
• Research institutions aiming to accelerate their molecular studies
• Healthcare organizations interested in advancing personalized medicine
• Companies with large datasets of molecular and clinical information
• Verticals: Pharmaceuticals, Biotechnology, Healthcare, Academic Research

 How to Pitch 

• Showcase acceleration: AWS's high-performance computing and machine learning services can significantly speed up molecule generation and screening, potentially reducing years from the drug discovery timeline
• Highlight cost-effectiveness: AWS's scalable infrastructure for computationally intensive tasks allows companies to allocate resources more efficiently
• Demonstrate advanced analysis: AWS's AI and analytics services can analyze vast datasets to identify patterns and potential drug candidates that human researchers might overlook
• Emphasize customization: Building on AWS enables companies to tailor AI models for their specific drug discovery needs and easily adapt as research evolves
• Stress security and compliance: AWS's robust security features and compliance certifications are crucial for protecting sensitive research data and meeting regulatory requirements in pharmaceutical development

Mission Cloud collaborated with Soley to enhance its drug discovery processes on AWS, focusing on building a modern data architecture to support projected growth. This included improving performance, data governance, ETL performance, and ML process and analytics agility. Mission Cloud assisted in understanding current data infrastructure, defining data pipelines, implementing data warehousing, reviewing ML models and potential use cases, designing ML workflows, and developing concepts for ML Ops.

Confidential - For AWS Only

 1-Liner 

LLMOps use the same skillset and types of work as in a typical ML Ops engagement but specialize around the particular care needed for developing, training, fine-tuning, and maintaining a large language model.

Information about the Ideal Customer Profile and How to Pitch for this use case will be available soon.

The Mission Cloud team helped Bearing AI to assist in utilizing Sagemaker for their model's training and deployment. We supported large-scale distributed training on multiple instances with multiple GPUs and also provided assistance on the model development and feature engineering side.

Confidential - For AWS Only

To overcome the prior challenges and ensure a successful transition from generative AI Proof of Concepts (POCs) to production, thorough preparation is essential. Mission Cloud is utilizing the following key steps to prepare for a successful project.