
Agentic Workflows
Design and scale agentic workflows on AWS
From AI coworkers and developer agents to business-process automation with Bedrock, data access, controls, and measurable operations.
Agentic Workflows
Turn agents into governed workflows on AWS
Elevata helps teams apply AI agents to real work, connecting developer workflows, AI coworkers, process automation, Bedrock, and governance in pilots that can scale with control.
Developer workflows
Codex, Claude Code, and software agents need repository permissions, tool boundaries, CI/CD integration, review, and audit trails.
AI coworkers
Claude Cowork and assisted-work agents help with research, analysis, documentation, and files, with desktop, workspace, and data controls.
Operational automation
Agents can support documents, support, finance, operations, and internal processes when business rules, integrations, and human review are in place.
Runtime and governance
Bedrock can centralize models, inference, IAM, observability, and costs when the operation needs to remain inside the AWS environment.
Delivery
How Elevata Helps
From diagnosis to execution, we structure a clear path to accelerate delivery without losing governance.
Opportunity map
We prioritize workflows by value, risk, required data, process owner, and implementation effort.
Control architecture
We define patterns for models, tools, IAM, MDM, networking, logging, evaluation, cost, and escalation.
Controlled pilots
We validate developer agents, AI coworkers, or operational automations with metrics, boundaries, and human review.
Knowledge integration
We connect RAG, MCP, documents, APIs, and internal knowledge bases while preserving permissions, traceability, and governance.
Rollout and operations
We create dashboards, playbooks, usage policies, feedback loops, and a roadmap for scaling without losing control.
Why Elevata
Why Elevata?
Elevata combines AWS, Bedrock, data, security, and practical engineering to turn agentic experiments into workflows the business can operate.

Process before tooling
We map the real work, risks, and metrics before recommending Claude Cowork, Claude Code, Codex, Bedrock, or automation.

Operational governance
We translate security, compliance, egress, cost, and audit needs into controls teams can apply.

AWS for production
We design runtime, data, observability, and operations with AWS practices suited to scaled adoption.

Technical and business coverage
We connect engineering, security, finance, and business teams so each workflow has an owner and a value measure.

AWS Recognition
Generative AI validation for agentic workflows
Elevata holds the AWS Generative AI Competency, validating partners who deliver production-grade generative AI solutions on AWS.
That validation reinforces our ability to connect Bedrock, data, RAG, agents, governance, and operations so agentic pilots become measurable, controlled workflows.

Proof
Automation and applied AI in production
We help clients turn data, knowledge, and processes into operational systems on AWS with governance and measurement.
Related paths
Choose the next path
Use these focused pages when the next step is a narrower AWS architecture or commercial path.
Claude Cowork on Bedrock
Pilot AI coworkers with MDM, workspace, telemetry, cost controls, and Bedrock inference.
Explore serviceData & Generative AI
Structure data, RAG, evaluation, inference, and governance for AI workflows.
Explore serviceClaude Code and developer agents
Plan developer agents with repositories, review, CI/CD, and tool boundaries.
Explore serviceRAG + MCP on AWS
Connect agents to knowledge, tools, and APIs with access control and auditability.
Explore serviceNext step
Map the workflow before choosing the tool
Talk to Elevata about the patterns, controls, and pilots that make sense for your organization.