AI Consulting Services
AWS AI Consulting Services
Put AI to Work Across Your Business
Move from scattered experiments to practical AI for your employees, developers, and customers. Stratus10 uses Anthropic tools and AWS services to design, build, and operate secure AI solutions. Our forward-deployed engineers work alongside your teams from strategy through operations.
From strategy to operations: plan, build, launch, and improve
Forward-deployed engineers & hands-on delivery with your team
Up to $25K in AWS funding
for GenAI proof of concepts
AWS Advanced Tier
Services Partner
Talk to an AI consultant
Tell us where you are and what you want AI to improve.
From the first use case to production
AI can improve how your employees work, how your developers build, and how your customers interact with your business. Successful adoption takes more than giving everyone access to a chatbot or connecting a foundation model to company data.
Stratus10 helps you identify where AI can deliver meaningful value, establish responsible ways to use it, and implement the systems needed to support it. Our forward-deployed engineers work directly with your business and technical teams throughout delivery. That may mean training employees to work more effectively with Anthropic tools, improving AI-assisted software development, building an internal knowledge assistant, or deploying a customer-facing AI application on AWS.
AI consulting that covers the whole journey
From identifying the right AI opportunities and equipping your teams to building custom applications and managing them on AWS, we support every stage of AI adoption.
AI strategy and opportunity assessment
Turn broad AI ambitions into a prioritized roadmap based on business value, technical feasibility, data readiness, risk, and cost.
- Use-case discovery
- Build-versus-buy guidance
- Architecture and cost recommendations
Company-wide AI adoption and enablement
Help employees use approved AI tools, including Anthropic tools, with practical guidance, role-specific training, and clear standards for human review.
- Anthropic tools training and workshops
- Reusable prompting techniques
- Data-handling practices
AI-assisted software development
Use Anthropic developer tools to establish repeatable workflows for planning, implementation, testing, documentation, refactoring, and review.
- Team coding standards
- Test-driven AI techniques
- Repository context design
Custom AI applications on AWS
Design and build AI applications using Amazon Bedrock, Anthropic tools, and your business data, with integrations shaped around the use case.
- Amazon Bedrock and Anthropic tools
- Knowledge assistants and search
- Agents and workflow automation
Conversational AI and customer experience
Create useful voice and chat experiences that answer questions, complete routine requests, and connect people with the right employee.
- AI phone agents
- Customer-service chatbots
- Human escalation paths
AI security, governance, and operations
Address identity, data access, model behavior, monitoring, reliability, and cost as part of the implementation from the beginning.
- Secure AWS architecture
- Guardrails and evaluation
- Monitoring and optimization
Start with work that matters
These use cases improve a distinct workflow, customer experience, or product. Stratus10 can help determine which opportunity has the clearest value and path to production.
Knowledge and data assistants
Give employees permission-aware answers across policies, documents, data warehouses, and operational systems.
AI phone and service agents
Answer common questions, collect information, route callers, and hand off to an employee when judgment is needed.
AI-assisted software development
Improve planning, feature development, testing, refactoring, documentation, code review, and application modernization.
Document-heavy business processes
Extract, classify, summarize, and route information from PDFs, forms, images, reports, and other incoming content.
AI features in existing applications
Add search, recommendations, summarization, content generation, or task assistance to software people already use.
Intelligent workflow automation
Connect AI to approved tools and systems to prepare work, complete defined steps, and escalate decisions for human review.
CONNECT STRUCTURED & UNSTRUCTURED DATA FOR AI
The information employees need rarely lives in one place or one format. Customer and operational records sit in databases and data warehouses, while policies, reports, images, and institutional knowledge live across documents and repositories.
Stratus10 designs Amazon Bedrock solutions that bridge structured and unstructured data while respecting how each source must be accessed, governed, and kept current. The result is a single experience for asking questions across the business, grounded in the right underlying information.
Our AI implementation process
From discovery to production and ongoing improvement, a forward-deployed engineer works alongside your team to turn AI priorities into measurable business outcomes.
Discover
Define the business problem, users, desired outcome, available data, constraints, and measures of success.
Prioritize
Compare candidate use cases by expected value, feasibility, risk, cost, and time to production.
Prototype
Test the highest-value assumptions with a focused proof of concept. AWS funding can help cover the cost.
Build and integrate
Work side by side with a forward-deployed engineer to develop the application, data pipeline, integrations, access controls, infrastructure, and deployment process.
Evaluate and operate
Measure output quality, monitor performance and cost, address failure modes, and improve the system based on real use.
Get Up to $25K in AWS Funding for Your AI Proof of Concept
AWS offers proof of concept (POC) funding for companies testing out workloads, new architectures, and genAI use cases. Stratus10 helps define the project, align it to AWS program requirements, secure the funding, and build the solution.
Proof of concept credits
Up to $25K
For testing a new AWS service, workload, or architecture.
GenAI and Bedrock proof of concept credits
Up to $25K
For customers evaluating generative AI use cases on AWS.
Funding amounts and approval depend on the project and current AWS program terms.
Forward-Deployed AI Consulting and AWS Implementation
Our delivery model combines implementation and optimization of AI solutions on AWS with forward-deployed AI consulting. Engineers work alongside your business and technical teams to identify practical opportunities, explain tradeoffs, and carry the right ideas through implementation and ongoing improvement.
Proactive AI consulting
We look beyond the initial request to identify useful opportunities, explain the tradeoffs, and recommend where AI can improve workflows, decisions, and customer experiences.
Implementation and optimization on AWS
We design, integrate, secure, monitor, and improve AI solutions within your AWS environment, including applications, data pipelines, permissions, automation, and cost controls.
Hands-on delivery with your team
Our engineers work directly with the people who know the business, data, systems, and users. They build, test, and refine solutions with your team, keeping technical decisions connected to business outcomes.
Guardrails for real-world use
Recommendations account for quality, security, governance, cost, and human oversight from the beginning, with the AWS architecture needed to support them.
AI case studies and technical guidance
Peachjar: Generative AI across structured and unstructured data
See how Stratus10 used Amazon Bedrock to create a unified experience for retrieving answers from different business data sources.
Production-ready Amazon Bedrock ingestion pipelines
Learn how data locality, structure, parsing, chunking, and vector storage shape reliable Bedrock implementations.
Automated Infrastructure for AI
See how Stratus10 helped Yembo containerize its AI application and automate deployments across scalable, GPU-enabled AWS infrastructure.
Strengthening Security for an AI Platform
Learn how Stratus10 assessed Fama’s AWS environment, prioritized security risks, and created a remediation plan to support its SOC 2 readiness.
FAQs
We help with AI strategy, employee enablement with Anthropic tools, AI-assisted software development, custom applications on AWS, knowledge assistants, document intelligence, conversational AI, workflow automation, security, and ongoing operations.
No. We start with the business problem and evaluate available products, workflow changes, custom integration, and AWS-native architecture. Amazon Bedrock is a strong option for many generative AI applications, but it is not the answer to every need.
Yes. We can develop role-based workshops, reusable prompting patterns, software development workflows, data-handling guidance, and review standards based on the work your teams perform and the tools your organization approves.
A forward-deployed engineer works directly with your business and technical teams to identify practical AI opportunities, explain tradeoffs, recommend the right technical path, and carry selected solutions through AWS implementation and ongoing optimization. This model reduces handoffs and keeps technical decisions connected to business outcomes.
Yes. We can design voice experiences that answer defined questions, collect information, route calls, perform approved actions, and transfer callers to an employee when human judgment is needed.
Security begins with architecture. We design identity, permissions, data access, retention, encryption, guardrails, logging, evaluation, and human review around the specific application and its risk profile.
Let’s Put AI to Work for Your Business
Whether you want to help employees work more effectively with Anthropic tools, improve your development process, build an internal assistant, or automate customer interactions, Stratus10's forward-deployed engineers can help define the right path and build the supporting AWS solution with your team.
Ready to get started?
Tell us where you are and what you want AI to improve.