Amazon Q Generative AI Consulting

Efficiently streamline processes, summarize information and secure business insights with AI.

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In Adastra, we found a partner with a deep understanding of generative AI and a lot of experience in implementing solutions in AWS.

Bjorn Ost Hansen

Senior Research Lead Knowledge Discovery, KWS

Optimize Processes and Quickly Gain Insights from Internal Data

In today’s fast-paced business environment, organizations face the daunting task of accessing, managing, and analyzing vast amounts of data to make informed decisions quickly.

Enter Amazon Q, an advanced AI assistant designed to revolutionize business processes by answering questions, solving problems, generating content and gleaning insights from internal company data. Its capability to integrate with over 40 business tools, such as wikis, intranets, and Gmail, ensures seamless data access and system integration, streamlining workflows like never before.

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Why Amazon Q and Adastra?

Adastra is an Amazon QuickSight delivery partner.

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Interact in Natural Language

Leveraging natural language processing, users can guide Amazon Q to craft a narrative by extracting key insights and statistics from chosen visuals. Large language models (LLMs) are then utilized to weave these insights into a comprehensive story, delving into the data’s potential impact on the business and proposing strategies to meet specific objectives.

Customize to Your Business Needs

Customized to meet the unique needs of each organization, Amazon Q can be fine-tuned to align with a company’s specific data, systems, and user roles. Business users are then equipped with user-friendly point-and-click tools, enhanced by AI-powered rewriting features. These tools allow for the customization of narratives within a rich text editor, enabling users to refine the message, incorporate new ideas, and emphasize key details.

Keep Internal Data Secure

Designed with a strong emphasis on security, Amazon Q ensures that content access is strictly governed by user permissions. It seamlessly aligns with existing governance frameworks, recognizing identities, roles, and permissions to tailor interactions. Your data remains your unique asset and will not be used to enhance the models used by others.

Enhance Efficiency and Insights

Amazon Q is engineered to swiftly provide answers, create content, and assist with tasks leveraging your company’s data, eliminating the need to comb through countless documents for information. The completed narratives can be easily shared with colleagues via email, promoting efficient collaboration and decision-making within organizations.

Proven Statistics

As a premier AWS partner, we have a proven track record of successfully implementing large language models into organizations’ ecosystems, regardless of the technology stack. Our clients benefit from the aid of 50+ generative AI engineers globally, 150+ AI experts across the globe and 20+ years of experience developing AI solutions. To date, we have over 450 AI projects delivered worldwide, growing daily as we take on new AWS initiatives.

End-to-End Services

Our generative AI strategies empower clients to maximize efficiency and reduce costs through end-to-end automation. With AWS, clients can rapidly extract and process data, correct errors, streamline creative processes, and scale with secure, governed AI innovation for transformative growth. With our end-to-end AI services, more than 75% of AI projects end up in production, compared to a market average of 48% (Source: Gartner, 2024).

Transform your data into decisions with Amazon Q.

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“For decades now, companies have been working with structured data (for instance, SKUs, product specifications, transactions and balances organized by master and reference data). That’s just 10 percent of the data available, however. Gen AI has opened up the other 90 percent of data, which is unstructured (for example, videos, pictures, chats, emails, and product reviews).”

– McKinsey, 2024

Adastra’s Method: Tailored Amazon Q Implementation in as Little as 1 Week

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Amazon Q Workshop

Our engagement kicks off with a 2-hour interactive demo of Amazon Q, showcasing its conversational interface and features. After the demo, we conduct a detailed Needs Analysis to assess client objectives, identify use cases, evaluate feasibility, and estimate required efforts. This systematic approach aligns our services with client needs and goals, laying the groundwork for successful implementation.

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Requirements Assessment

Initiating with a Data Source Inventory, we identify and assess essential data sources like databases and cloud storage for compatibility. During the Data Source Evaluation phase, we pinpoint relevant data for use cases and ensure consistency. An Access Control Strategy is then outlined to set data access levels for user groups and integrate with identity systems. Finally, we focus on Data Source Connectivity to establish secure connections for efficient data access with Amazon Q Business.

Amazon Q Implementation

The process begins with Application Implementation, establishing a base application and connecting it to essential data sources, along with configuring necessary third-party plugins. This is followed by Backend Configuration, where security measures such as topic restrictions, data encryption, and identity provider integration are implemented. Finally, we deploy the Amazon Q Business Web Experience, ensuring a fully configured and operational web application.

Organizations Are Using Amazon Q To:

Streamline Search Experiences

Connect internal wikis, SharePoint sites, Confluence, Salesforce, and 40+ other applications for a unified, conversational search experience.

Extract Key Insights

Perform comparative analysis on your documents and unlock powerful insights so that your employees can make faster, better data-driven decisions.

Generate Summaries

Quickly understand the essence of documents by creating summaries of uploaded files or existing enterprise documents.

Accelerate Content Creation

Empower employees to create content faster and smarter across departments—from marketing to sales to engineering.

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Success Story

KWS Saves Hours Daily with a Generative AI Enterprise Search Solution on AWS Cloud

KWS, a global leader in agricultural seeds, partnered with Adastra and AWS to streamline access to critical company knowledge, replacing manual processes with an advanced enterprise search solution powered by Amazon Bedrock and generative AI. With this tailored solution on AWS, KWS has accelerated research speeds, enhanced efficiency, and saved hours daily by enabling quick and secure access to essential insights.

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