Gen AI Accelerator Packages

Quickly implement IDP solutions to transform manual document workflows. We perform an analysis of your actual documents and lead a structured implementation using our templated solutions and prompts.

Ideal Customer Profile

Key Industries: Insurance, Healthcare, Financial Services, Media & Entertainment, Legal
Companies with high document processing volumes
Companies losing time processing documents manually, digging for buried information

Customer Outcomes

Eliminate costly, time-consuming manual document processes
Accelerate time-to-value for document-driven workflows
Provide faster access to critical document information
Free up staff to focus on higher-value activities

Customer Success Story - Intelligent Document Processing

Corvus faced challenges with their manual insurance application process, handling 10k-15k applications monthly with expected growth of 5x in the coming years. Mission developed a proof of concept using GenAI and OCR technology to extract data from application forms and analyze risk, enabling underwriters to make faster, better-informed decisions through conversational interactions.

Created a GenAI tool to automate the assessment process for insurance applications
Implemented OCR technology to transform paper forms into digital text for analysis
Developed conversational interface allowing underwriters to extract critical information efficiently

Automated
application assessment process

Vincent Weafer CTO, Corvus

“Over 50% of our mid-market quote submissions required underwriters to spend an average of two hours analyzing each application. By leveraging Generative Al, a chatbot pilot was developed to automate this assessment process, reducing the need for manual tasks and providing accurate responses.”

Starting with a comprehensive assessment of your BI environment, Mission delivers a tailored migration of your dashboards to Amazon QuickSight. Our approach pushes ETL back into proper data warehousing, establishes a single source of truth, and rebuilds dashboards with improved performance.

Businesses struggling with…

Power BI, Tableau, Qlik Sense, and Looker
Overwhelmed and underperforming data visualizations
High costs from premium BI tools lacking advanced functionality
Juggling multitudes of dashboard versions, fragmented BI, and siloed data

Customer Outcomes

Single source of truth for all analytics
Reduce BI platform costs (pennies on the dollar!)
Improved load times and performance
Unlock intelligence trapped in visualization layers
Natural language querying of data with Amazon QuickSight Q

Customer Success Story - Amazon QuickSight Migration

Marquis partnered with Mission to migrate from Power BI to Amazon QuickSight, enhancing data analytics for their 700+ financial institution customers. The comprehensive solution significantly improved dashboard performance, streamlined data management, and enabled natural language querying capabilities, generating exceptional market interest and positioning Marquis competitively in their sector.

Created 30 interactive dashboards with dramatically improved load times (seconds vs. minutes)
Implemented custom security layer ensuring proper data isolation for clients
Developed natural language query functionality enabling non-technical users to create insights using conversational language

Mission's ML Model Builder builds custom machine learning models in through data assessment, feature engineering, development, and testing, delivering production-ready solutions for your business prediction needs.

Organizations looking to…

Predict customer behaviors
Apply ML to specific use cases
Increase data-driven decision-making
Understand when to use ML and when to use Generative AI

Customer Outcomes

Custom-built ML models deployed in Amazon SageMaker
Solutions for specific business prediction challenges
Better forecasting and decision-making
Reduced costs from proper application of ML and AI

Customer Success Story - ML Model Builder

JibJab needed a managed cloud services partner with deep machine learning expertise to help build out a new head cutting technique for their new product Starring You Books.

Custom machine learning algorithm trained to automatically recognize faces and hair in user-uploaded photos.
JibJab customers can now upload photos and have a final book-ready image in just five seconds.
In practice, the algorithm is delivering high-quality images at 90% accuracy

90%
accuracy of high-quality images produced from ML algorithm

5 seconds
time it takes to product a final book-ready image

Matt Cielecki VP of Engineering, JibJab

“Mission was our clear preference. They understood our problem, and portrayed very clearly how they could use existing and cutting edge technology to solve it. It gave us the confidence that if we needed something changed or explained, Mission would be able to do it in a way that we’d be able to understand.”

Mission's ChatBot Builder deploys custom chatbots with tailored prompts for your business processes, creating intuitive experiences that maintain user engagement without requiring prompt engineering expertise.

Businesses struggling with…

Implement useful enterprise AI assistants
Improve low adoption rates from generic AI tools like CoPilot or ChatGPT
Streamline repetitive workflows with consistent AI outputs
Democratize AI access across departments

Customer Outcomes

Unified conversational interface
Increased accessibility of expert knowledge
Natural language querying for previously siloed information
Reduce support costs while improving response quality and comprehensiveness

Customer Success Story - Conversational AI Assistants

Fexa, a facilities management platform used by brands like Tesla and Crate & Barrel, partnered with Mission to integrate generative AI and streamline service requests. Customers often created unnecessary or incorrect work orders, leading to delays and higher costs. Mission built an AI-powered chatbot using Amazon Bedrock, Anthropic Claude, and Amazon Kendra to provide real-time troubleshooting suggestions. The solution reduced maintenance calls, saved costs, and inspired further platform innovations.

Developed an AI chatbot that suggests self-service solutions, reducing unnecessary service calls.
Enabled seamless work order integration and user-friendly interactions.
Improved customer experience while lowering operational costs.

Win Wire

Tesch Global Win Wire

Win Wire

The Jockey Club Technology Group Win Wire

Win Wire

Integra Credit Win Wire

Win Wire

Kairos Power Win Wire

Marketplace Offer

Amazon QuickSight Migration

Access

Marketplace Offer

Generative AI Exploration Workshop

Access

Marketplace Offer

Solutions Architect On-Demand - Data Analytics

Access

Marketplace Offer

Intelligent Document Processing with Generative AI

Access

Marketplace Offer

Data Engineering for Generative AI

Access

Ready to get started?

Contact your Account Executive today to start co-selling with Mission!

Not sure who your account executive is? Contact:

Nick Geraci, Channel Manager, SUP: ngeraci@missioncloud.com
Collin Burkhart, Channel Manager, SMB: cburkhart@missioncloud.com
Matt Forlow, Channel Manager, ENT: mforlow@missioncloud.com
Manager, Channels & Alliances, sklipp@missioncloud.com

Will I experience downtime during my AWS migration?

This depends on the specifics of the workloads you’re moving, the type of migration you’re doing, and your preferred timeline, but in general we will optimize your cloud migration services to ensure the minimal necessary downtime. Since this is often a concern, this is one of the first items we’ll address when constructing your migration plan and we’ll discuss strategies and mitigations we can employ to minimize the impact on your business.

How much experience does Mission Cloud have with cloud migrations?

Lots. Mission has migrated hundreds of customers to AWS, both from all the providers you’ve heard of and many you haven’t. We’ve been certified by AWS for migrations work with the Migrations Competency, and we are recognized by AWS as the #1 Partner at “recognized revenue” in its Migration Acceleration Program—that means getting workloads onto AWS rapidly and exactly as predicted in our migration plans.

What are the various cloud migration strategies?

Rehost – Also commonly referred to as “lift-and-shift,” this strategy involves reproducing your current architecture as much as possible. This can be an ideal first phase for some cloud migrations, but is often the least efficient strategy in the long-term.
Relocate – This strategy is most-common for inter-AWS migrations or replatforming to a cloud version of an application. This often means moving resources between accounts, VPCs, or regions and is common during acquisitions when a new account architecture is necessary.
Replatform – This strategy takes advantage of AWS-managed services for your workloads, like moving a database to RDS, moving to AWS-specific hardware, like Graviton, or even modernizing OSes and moving to Linux to reduce licensing costs. Replatforming is a great option when you want to preserve a legacy application’s structure while reducing its operational overhead.
Refactor – Also known as “Re-Architect,” this is about modernizing your applications as you move them to the cloud. Often there can be significant performance and cost wins for re-architecting some or even all of your workloads as part of a migration and engaging with this option is often ideal for cost of ownership.

How do I know which cloud migration strategy to choose?

The truth is, you won’t—not until you’ve accurately assessed your business and cost objectives. Some businesses think they will prefer a simple cloud migration that reproduces their current architecture but discover the inefficiencies aren’t acceptable. That’s why we make assessing your current state and business objectives a part of every engagement—to help you find the combination of optimization, timeline, and cost of ownership that best meets your needs.

How can I minimize downtime during a cloud migration?

This comes down to preparation, planning, and execution. Knowing what you’re attempting to migrate, what critical systems you need to have online, elements of your architecture that depend on a given service’s availability or consistency—all of these elements can create downtime if they’re not appropriately managed. We’ll work with you to identify these critical components of your system and come up with plans to mitigate the effects of a transition and make it as seamless as possible.

How long does a cloud migration take?

The real answer is: it depends on how complex the workload is and the cloud migration strategy. A lift and shift strategy, for example, can be faster than a refactor strategy—but it may also take more tuning and right-sizing to meet your performance and cost objectives. Some migrations take weeks. Some unfold over multiple phases while taking a year or more. But you won’t know the real answer without an accurate assessment of your current environment and objectives for AWS adoption.

Gen AI Accelerator Packages

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