Migrate from AWS Bedrock Agents to Lyzr Today

Teams are switching because they want lower complexity, complete ownership, and production-ready AI agents that ship without AWS dependency or cloud lock-in holding them back.

Seamless migration pathway Reduced cloud overhead Complete agent ownership
Why Teams Are Moving

from Bedrock to Lyzr.

Lyzr replaces managed black-box infrastructure with transparent, composable AI agents. You get faster iteration cycles, stronger compliance posture, and full architectural control without sacrificing enterprise scale.

01

Agent Clarity

Full observability into every agent decision and reasoning step, never a black box

02

Zero Lockin

Swap LLMs, orchestration tools, or hosting infrastructure anytime without rebuilding your agents

03

Compliance Readiness

Native safety rails and detailed audit logs that satisfy enterprise security, governance, and regulatory requirements

04

Rapid Deployment

Ship production-ready AI agents in days instead of weeks of cloud configuration

05

Migration Assist

Dedicated engineering guidance through every phase of your transition from Bedrock to Lyzr

Bedrock.

Bedrock.

Teams across financial services, human resources, and operations are replacing Bedrock Agent workflows with Lyzr for greater production reliability and granular control.

Customer Support

Migrate support bots from Bedrock to Lyzr for smarter routing and compliance

Knowledge Retrieval

Replace rigid AWS RAG pipelines with Lyzr knowledge agents for faster, access-controlled retrieval

Operations Automation

Move multi-step Bedrock automation flows to Lyzr agents with cleaner orchestration and audit trails

You built on Bedrock to move fast. Lyzr is where you go when you are ready to move smarter and own every layer.

Tangible Gains After

Your Migration to Lyzr

01

Lower Infrastructure Cost

Eliminate per-invocation token fees, hidden Bedrock pricing layers, and managed service overhead

02

Modular Agent Architecture

Swap individual agent components freely without rewriting your entire pipeline or orchestration logic

03

Native Safety and Guardrails

Built-in compliance features replace the need to bolt on third-party safety tools post migration

04

Hands-On Migration Help

Lyzr provides active engineering support throughout your transition, not just documentation links

Capabilities Beyond Bedrock

Built for More.

From multi-agent coordination to on-premise hosting, Lyzr is engineered for teams that need deeper control than what managed AWS services can provide.

Agent Orchestration

Coordinate multiple specialized agents in a single pipeline natively without custom glue code

Model-Agnostic Design

Connect OpenAI, Anthropic, Mistral, or your own private models without being locked to one vendor

Full On-Premise Deployment

Deploy Lyzr agents entirely within your own infrastructure for data-sensitive regulated industries

Persistent Agent Memory

Agents retain context and learn from previous interactions across sessions, moving far beyond stateless API calls

Live Observability

Full trace logs, step-by-step reasoning visibility, and performance dashboards available out of the box

How the Platforms Stack

Up Side by Side.

FeatureGeneric AI PlatformsAWS Bedrock AILyzr
LLM Model FlexibilitySingle model onlyBedrock models subsetFully model-agnostic stack
On-Premise AvailabilityCloud hosted primarilyCloud only no optionComplete on-prem option
Agent OrchestrationRequires custom codeLimited native toolsNative multi-agent support
AuditabilityNo built-in logsRequires extra servicesBuilt-in configurable logs
Agent MemoryStateless by designExternal DB requiredPersistent native memory
Compliance and Safety RailsNot natively builtPatchwork approachIntegrated governance layer
Migration Help from TeamSelf serve onlyDocs only helpDedicated engineering guidance
Deployment ControlVendor controlledAWS managed limitsFull infrastructure control
Tool and IntegrationLimited connectorsAWS ecosystem boundOpen extensible framework
Cost TransparencyOpaque invoicingHidden layer feesTransparent clear pricing
Why Enterprises Pick

Lyzr Over AWS.

01

Built for Scale

Designed from day one for enterprise security, compliance, and high-volume production workloads

02

Fully Extensible

Every layer of the platform is open and swappable, from LLMs to integrations to memory stores

03

Migration Success

Teams have successfully moved from Bedrock and other managed platforms without production disruption

04

Responsible Design

Safety, fairness, and explainability are not add-ons in Lyzr. They are foundational agent defaults.

Trusted by Teams Who

Demand Excellence.

Leading enterprises across financial services, healthcare, and technology trust Lyzr to power their AI agent infrastructure with the control and compliance their industries demand.

Customer logos
We spent months wrestling with Bedrock limitations instead of shipping agents that mattered. After migrating to Lyzr, our deployment time dropped by sixty percent. Our compliance team finally had the audit trails they had been requesting for quarters. The freedom from AWS dependency alone changed how we plan our entire AI roadmap going forward into next year.

VP of Engg · Engineering Lead at FinServe

Zero

Data exfiltration incidents

Your Migration Path in Four Steps

Clear. Fast.

1

Audit Setup

Map your existing Bedrock agents, knowledge bases, flows, and integration dependencies thoroughly

2

Design with Lyzr

Translate your Bedrock agent logic into Lyzr modular framework with proper tooling alignment

3

Test and Tune

Deploy agents in Lyzr sandbox, validate outputs, and benchmark performance against your Bedrock baseline

4

Launch with Support

Go live in production with Lyzr engineering on standby for dedicated hypercare and monitoring

Common Questions About Your

Migration from Bedrock to Lyzr

What does it mean to migrate from AWS Bedrock Agents to Lyzr?

Migrating from AWS Bedrock Agents to Lyzr means moving your agent infrastructure, orchestration logic, and LLM connections onto a platform you fully control. Your use cases and business outcomes stay the same. What changes is the underlying architecture, giving you better compliance, faster iteration cycles, transparent agent behavior, and freedom from AWS vendor dependency. Lyzr maps closely to Bedrock concepts, making the transition structured.

How long does it typically take to migrate from Bedrock to Lyzr?

Most migrations complete within two to six weeks depending on agent complexity and the number of integrations involved. The process follows clear phases: audit, architecture design, sandbox testing, and production cutover. Lyzr provides dedicated engineering support throughout each phase, significantly accelerating timelines compared to self-guided migrations. Simpler setups have gone live in under ten days.

Is migrating from AWS Bedrock Agents to Lyzr technically difficult?

Not at all. Lyzr's agent framework maps closely to Bedrock's model but removes many constraints that slow teams down. You retain your core agent logic while gaining modular architecture and native orchestration. Lyzr's migration team walks you through every technical step, from knowledge base porting to LLM reconnection, ensuring nothing breaks during transition.

Does Lyzr support all LLMs available on Bedrock?

Yes, Lyzr supports every major LLM available through Bedrock, including Claude, Titan, and Llama models, plus many others Bedrock does not offer. The platform is fully model-agnostic, so you can connect OpenAI, Anthropic, Mistral, or your own private fine-tuned models. You are never locked into a single provider's model catalog again.

How does Lyzr handle compliance needs previously managed on AWS?

Lyzr includes native guardrails, granular audit logs, and configurable safety policies as default platform features. Unlike the patchwork approach AWS requires where you bolt on CloudTrail, Config, and third-party tools, Lyzr provides unified governance from a single pane. On-premise deployment options add another compliance layer for regulated industries needing full data residency control.

Can Lyzr replicate multi-agent workflows built on AWS Bedrock?

Absolutely. Lyzr natively supports multi-agent pipelines where specialized agents coordinate within a single workflow. Bedrock's agent coordination patterns translate directly into Lyzr's orchestration model, often with fewer lines of configuration. You gain cleaner handoffs between agents, better error handling, and full visibility into each step of the pipeline execution.

Will moving to Lyzr reduce my overall AWS AI infrastructure costs?

Teams consistently report significant cost reductions after migrating. You eliminate per-invocation fees, managed service surcharges, and hidden Bedrock pricing layers. Lyzr gives you the flexibility to run agents on your own infrastructure or more cost-effective cloud options. Transparent pricing means no surprise bills, and you only pay for the compute and capacity you actually use in production.

Can I deploy Lyzr agents on-premise after migrating from AWS Bedrock?

On-premise deployment is a core Lyzr capability and one of the primary reasons regulated enterprises choose to migrate. Unlike Bedrock's cloud-only model, Lyzr agents run entirely within your own infrastructure, keeping sensitive data behind your firewall. This is essential for financial services, healthcare, and government organizations with strict data residency and sovereignty requirements.

Does Lyzr provide stateful agents with memory unlike AWS Bedrock?

Yes. Lyzr agents include persistent memory architecture as a native feature. Unlike Bedrock's stateless default, which requires you to build external database integrations for context retention, Lyzr agents remember past interactions across sessions automatically. This dramatically improves conversation continuity, personalization quality, and agent effectiveness in production customer-facing workflows.

What migration support does Lyzr offer for teams leaving AWS Bedrock?

Lyzr provides hands-on migration support with dedicated engineers assigned to your project. You receive structured migration playbooks, architecture design sessions, sandbox environments for testing, and hypercare support post-launch. This is fundamentally different from AWS's self-serve documentation model. Lyzr's team stays engaged until your agents are stable in production.

Got a use case in mind?

8 weeks from use case to
agents running in production.

Platform, people and FDEs, all in. Bring your environment. We’ll co-build and stay until it’s
live.