Scattered knowledge
Make information distributed across documents, systems, and repositories easier to discover and use.
AI Services / Generative AI
Turn your information into intelligent business experiences
Missioned builds Generative AI applications that connect foundation models with enterprise knowledge, data, and workflows, helping businesses create more useful customer experiences, accelerate knowledge work, and make information easier to access and act on.
The challenge
Make Generative AI useful in your business context
A foundation model can generate impressive responses, but business value depends on what surrounds the model. AI needs access to the right information, integration with existing systems, appropriate controls, and an experience designed around how people actually work.
Time consuming knowledge work
Accelerate research, summarization, analysis, drafting, and other information intensive activities.
Generic AI responses
Ground model outputs in relevant enterprise information and business context.
Disconnected experiences
Bring AI capabilities into the applications and workflows employees and customers already use.
Capabilities
Build Generative AI around your knowledge and workflows
We design Generative AI applications around the information people need, the tasks they perform, and the systems where that work happens.
Enterprise AI assistants
Create intelligent assistants that help employees or customers access information and complete knowledge intensive tasks.
Retrieval augmented generation
Connect foundation models with relevant enterprise information to produce more contextual and grounded responses.
Enterprise search and knowledge
Create conversational and intelligent ways to discover information across organizational knowledge sources.
Content intelligence
Use AI to summarize, classify, extract, transform, and generate content around defined business requirements.
Conversational experiences
Build natural language interfaces for customer, employee, product, and operational experiences.
Application integration
Embed Generative AI capabilities into existing products, applications, portals, and business workflows.
How it works
Ground AI in the knowledge your business already has
Connect
Bring together the documents, data, applications, and knowledge sources relevant to the use case.
Retrieve
Identify the information most relevant to a user’s request or task.
Ground
Provide appropriate context to the model so responses reflect available business information.
Generate
Create useful responses, summaries, analysis, or content around that context.
Validate
Introduce citations, controls, evaluation, or human review based on the requirements of the application.
Use cases
Put Generative AI where information creates value
Generative AI can support a broad range of experiences when the use case is built around a clear information or productivity problem.
Enterprise knowledge assistants
Help employees find answers across policies, documentation, procedures, product information, and organizational knowledge.
Customer support experiences
Give customers and support teams faster access to relevant product, service, and support information.
Document intelligence
Extract, summarize, compare, classify, and interact with information contained in documents.
Research and analysis
Help teams explore large amounts of information and synthesize it into usable insights.
Developer productivity
Assist engineering teams with technical knowledge, documentation, code related workflows, and software development tasks.
AI powered product experiences
Embed natural language and generative capabilities directly into digital products and customer applications.
Business outcomes
Turn enterprise knowledge into business advantage
Faster access to information
Help employees and customers find relevant knowledge without manually searching across multiple sources.
Higher knowledge worker productivity
Reduce time spent reading, summarizing, organizing, and transforming information.
Better customer experiences
Create more conversational and context aware ways for customers to interact with information and services.
More accessible organizational knowledge
Make valuable information easier to use across teams and roles.
Faster product innovation
Add intelligent capabilities to existing applications or create new AI powered digital experiences.
Greater value from existing information
Put documents, knowledge bases, and enterprise data to work in new ways through intelligent applications.
Technology ecosystem
Technologies for production ready Generative AI
Technology choices depend on the use case, existing environment, integration requirements, security needs, and production operating model.
OpenAI
Anthropic
Amazon Bedrock
Azure AI
Google Cloud Vertex AI
LangChain
LlamaIndex
vector databases
embedding models
cloud native infrastructure
FAQs
Common questions about Generative AI
Answers to common buyer questions about building, operationalizing, or scaling this AI capability.
Start with a business problem rather than a model. Strong opportunities often involve information that is difficult to access, repetitive knowledge work, high volume interactions, or product experiences that can benefit from natural language intelligence.
Yes, when the application is designed to securely connect approved enterprise information with the model. The architecture and access controls should reflect the sensitivity and governance requirements of that information.
Retrieval augmented generation, or RAG, retrieves relevant information from approved sources and provides that context to a model when generating a response. This can make responses more relevant to the organization’s own knowledge.
Depending on the use case, techniques can include grounding responses in trusted information, retrieval design, structured prompts, output constraints, evaluation, citations, validation, and human review.
No. We take a model agnostic approach and select models and platforms based on the application’s requirements, including capability, latency, security, integration, and economics.
Yes. We can help address the architecture, retrieval quality, integrations, evaluation, security, observability, infrastructure, and deployment requirements needed for production use.
Start a conversation
Let’s solve your next technology challenge together
Whether you want to unlock enterprise knowledge, build an AI assistant, create a smarter customer experience, or add Generative AI to an existing product, we can help turn the idea into a production ready application.