Gen AI · Step 02 Build

Agent orchestration.

Migrate existing agents and frameworks to Amazon Bedrock AgentCore to securely create, govern and manage your fleet of agents.

Powered by AWS

Built with

  • Amazon Bedrock AgentCore
  • Amazon Bedrock
  • AWS IAM
  • Amazon CloudWatch
AWS Partner, Advanced Tier ServicesAWS Partner, Generative AI Competency, via Ingram Micro

Why it matters

Why it matters.

Once you have more than two agents, the hard problems are identity, memory, tool permissions and audit, not prompting.

A managed runtime removes the bespoke glue each team writes, so agents stop being one person’s private infrastructure.

Central governance is what makes an agent acceptable to your security team and to your enterprise customers.

What’s included · how it runs

Inventory. Design. Migrate. Operate.

Typically 4–8 weeks

  1. Step 01

    Inventory

    Map current agents, frameworks, tools and data access.

    What’s included

    Fleet assessment

    Inventory the agents and frameworks you run today and decide what to migrate, merge or retire.

  2. Step 02

    Design

    Define the target runtime, identity model and tool gateway on AWS.

    What’s included

    Tool and permission design

    Scoped tool access, secrets handling and least-privilege boundaries per agent.

  3. Step 03

    Migrate

    Port agents in priority order, validating behaviour against the originals.

    What’s included

    AgentCore migration

    Port agents to the Bedrock AgentCore runtime with identity, memory and gateway wired up properly.

    Observability

    Tracing, session inspection and metrics so you can see what an agent did and why.

  4. Step 04

    Operate

    Hand over dashboards, guardrails and the fleet management runbook.

    What you walk away with

    • Agents running on Bedrock AgentCore
    • Identity, memory and tool gateway configuration
    • Per-agent permission model
    • Tracing and fleet dashboards

Case studies

Customers we’ve delivered this for.

All case studies
Draft · pending HES approval
Case studyHuman eSources

Make the hiring call with AI.

How Human eSources turned nearly three decades of talent science into AI that explains every job match, live on Amazon Bedrock behind TruTalent, its new recruiting platform.

Industry
HR tech, talent assessment
We built
Talent Scout AI
Runs on
Amazon Bedrock
Read the case study
Keith Gaudreau, VP Product Strategy, Human eSources
Human eSources

Keith Gaudreau

VP Product Strategy

Case study[Client]

[The promise] [in 2 lines].

[How the client got the outcome: what Assembly built and where it runs. One sentence.]

Talk to an engineer
[First Last][Role]
Case study[Client]

[The promise] [in 2 lines].

[How the client got the outcome: what Assembly built and where it runs. One sentence.]

Talk to an engineer
[First Last][Role]

Funded by AWS · for eligible companies

Funded.

Start with a GenAI/ML Readiness Assessment, funded by AWS if you qualify.

Check if you qualify

Funding is subject to AWS approval. We check your fit with you before anything goes to AWS.

Let’s talk about Agent orchestration.

A 30-minute call is usually enough to tell you whether this is the right next step, and what it would cost.