AgentBridge: Production-Ready Agentic AI Orchestration on AWS
Kubrick Group · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Most enterprises have proven agentic AI works in a pilot. Far fewer have taken it into production — held back by integration with existing systems, absent governance and unpredictable running costs.
AgentBridge is Kubrick Group's accelerator and implementation service for deploying production-grade, multi-agent AI systems on AWS. Built on Amazon Bedrock AgentCore (Runtime, Memory, Gateway, Identity and Observability) and delivered as infrastructure-as-code (CDK and Terraform), it takes organisations from pilot to governed production in weeks rather than quarters.
Show the rest of the publisher’s description (6 more lines)
**Interoperability first.** AgentBridge connects agents to the systems your business already runs on. Using Model Context Protocol (MCP) and AgentCore Gateway, we expose your existing APIs, databases, SaaS platforms and legacy applications as secure, discoverable agent tools — with support for agent-to-agent (A2A) coordination across teams and vendors. Framework-agnostic by design: LangGraph, LangChain, CrewAI and Strands Agents are all supported, so you are never locked into a single stack.
**Governance built in, not bolted on.** Every deployment includes agent identity and least-privilege access via AgentCore Identity, full audit trails, human-in-the-loop approval gates for high-impact actions, automated guardrails and circuit breakers, and an evaluation framework that tests agent behaviour before and after release. The result is an agent estate your risk, security and compliance functions can sign off — aligned to emerging standards including ISO 42001 and the EU AI Act.
**Cost control as a first-class concern.** Drawing on Kubrick's cloud FinOps practice, AgentBridge embeds agent-level cost telemetry from day one: per-agent and per-workflow token and inference spend, model routing to match task complexity to the right model at the right price, budget alerting, and showback/chargeback reporting. You know what every agent costs before it scales — not after the bill arrives.
**Adoption, not just deployment.** Technology alone does not change how a business works. Kubrick Forward Deployed Engineers embed within your business functions for the duration of the engagement — sitting with the teams who will use the agents day to day, refining workflows in place, capturing feedback into the build cycle, and championing adoption across the organisation. This ensures the platform delivers business outcomes from week one and continues to be used long after we leave.
**How we deliver.** A typical engagement runs in three phases: (1) Discover — a structured assessment of your use cases, integration landscape, governance requirements and cost baseline, producing a prioritised roadmap; (2) Deploy — accelerator-based implementation of the orchestration platform, enterprise integrations and governance controls in your AWS environment; (3) Operationalise — evaluation harness, runbooks, cost dashboards and knowledge transfer, with FDEs supporting business teams through go-live to embed adoption. Scope, duration and team shape are tailored to your environment via private offer.
*Kubrick Group is a consultancy specialising in data, AI and cloud delivery, with deep AWS expertise across engineering, governance and cost optimisation.*
Highlights
Highlighted by the publisher on AWS Marketplace.
Adoption driven by Kubrick Forward Deployed Engineers: our FDEs embed directly within your business teams, working side by side with users to shape agents around real workflows, drive adoption across functions and ensure the engagement delivers measurable business outcomes — not just deployed technology.
Pilot-to-production accelerator on Amazon Bedrock AgentCore, delivered as CDK/Terraform in your own AWS environment — with MCP and A2A-based integration exposing your existing APIs, data platforms and legacy systems as secure, governed agent tools. Framework-agnostic across LangGraph, LangChain, CrewAI and Strands.
Governance and cost control built in: human-in-the-loop gates, guardrails, evaluation framework and agent-level FinOps telemetry (token spend, model routing, budget alerts) so every agent is accountable — operationally and financially.
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