Forward Deployed Engineering for Production AI on AWS by Dedicatted

Mid-market software companies in Canada, the United States and Europe with a generative or agentic AI prototype on Amazon Bedrock and a team of four to six engineers and one platform owner who will run it. The buyer is the CTO or VP of Engineering asked when the prototype ships, who wants it in production without first hiring an AI platform team.

The prototype works in a demo and stalls before production. Nobody has defined a good answer, so there is no evaluation set and every prompt or model change is a guess. Tools run with broad credentials, nothing checks what the agent says or does, and there is no trace of why it acted and no cost per request. Its builders also ship the core product, and a finished system handed over by an outside team leaves them unable to run it.

A forward deployed engineering Mission: a lead and a senior Dedicatted engineer inside your team for four weeks, on site by default, working in your repositories, AWS accounts, CI/CD and stand-ups.

Week one, embed and baseline. We validate access, review the prototype, agree one production objective and three to five priority items with your platform owner, and record the baseline: answer quality on an evaluation set built from real user questions, latency, cost per request and failure modes. Changes start in the first days.

Weeks two and three, embedded engineering. Pairing with your engineers on every change, we move the agent onto Amazon Bedrock AgentCore Runtime, put its tools behind AgentCore Gateway with Policy rules, scope its credentials with AgentCore Identity, add AgentCore Memory where needed and apply Amazon Bedrock Guardrails. AgentCore Evaluations becomes the release gate in your pipeline and scores sampled production traces; AgentCore Observability feeds Amazon CloudWatch alarms on quality, latency and cost. All of it is code in your repositories from the first commit.

Week four, release and hand back. The agent goes live behind the evaluation gate, the baseline is re-measured, your engineers run a release and an incident drill without us, and the Mission closes with the runbook, architecture decisions and a backlog your team owns.

This is not advisory time (Cloud Solutions Architect On Demand for AWS by Dedicatted) or a system Dedicatted builds for you (Custom Agentic AI Solutions): Dedicatted owns the outcome until week four, then your team does.

Amazon Bedrock (foundation models, Guardrails, Knowledge Bases), Amazon Bedrock AgentCore (Runtime, Gateway, Policy, Identity, Memory, Observability, Evaluations, Code Interpreter and Browser), Amazon CloudWatch, AWS Lambda, Amazon API Gateway, Amazon S3, Amazon ECR, AWS IAM, AWS KMS, AWS Secrets Manager and AWS CloudTrail, deployed with Terraform or the AWS CDK through your CI/CD.

• One AI use case in production on Amazon Bedrock AgentCore in your AWS account, as code in your repositories.
• An evaluation set and release gate your team owns, so every prompt, model or tool change is measured before it ships.
• Policy-scoped tools, guardrails and a trace for every agent action, with quality, latency and cost re-measured against your week one baseline.
• A team that has released and operated the agent without Dedicatted in the room.

Collectr, a Toronto-based collectibles app, worked alongside Dedicatted on abuse detection: the team built an AI-enhanced pattern-detection process on Amazon Bedrock that reads request logs and proposes new detection rules, which Dedicatted engineers review and deploy. AWS published it as a case study. Dedicatted has also taken AI from prototype to production for a Canadian logistics company (lead enrichment on Amazon Bedrock with deterministic validation and human approval, after autonomous agent tests produced unreliable records), a Canadian accounting software company (finance agents first written directly on AWS Lambda, moved to an agent framework on Amazon Bedrock AgentCore) and a Canadian life sciences company (retrieval over scientific content on Amazon Bedrock and AgentCore).

Dedicatted is an AWS Premier Tier Services Partner headquartered in Toronto and Montreal, Canada, and the first Canadian partner to hold both AWS AI Competencies (Generative AI and Agentic AI). We deliver across Canada, the United States and Europe, in English and French, and support Canadian data residency in the AWS Canada (Central) and Canada West (Calgary) Regions; Amazon Bedrock AgentCore runs in Canada (Central).

AWS bills you for the resources in your account: Amazon Bedrock inference, Guardrails and Knowledge Bases; Amazon Bedrock AgentCore usage, including the model calls evaluations make; Amazon CloudWatch logs, metrics and traces; and Lambda, API Gateway, S3, ECR, KMS and Secrets Manager usage. We work through access you grant, scoped to the Mission's accounts and removed at handover.