We deploy AWS Bedrock AgentCore into your AWS account with action groups, Knowledge Bases, tuned Guardrails, DynamoDB memory, CloudWatch and X-Ray observability, and multi-environment CDK or Terraform. You own the code, the keys, and the topology.
We have shipped enough Bedrock work — across financial services, healthcare, and AWS-committed enterprises — to recognize the same five blockers every time.
AgentCore demos work in a notebook; nothing is wired for prod
Denied topics, PII filters, and grounding checks not calibrated
No traces across API Gateway → AgentCore → action-group Lambdas
Session state stuffed into a single DynamoDB blob, no long-term schema
Bedrock traffic exits the customer VPC over public endpoints
AgentCore demos work in a notebook; nothing is wired for prod
No IaC, no environments, no observability, no rollback path. Every change is a hand-edit in the Bedrock console.
3 to 6 months of internal engineering before first real traffic
Engineering note: every one of these is a topology and IaC problem, not a model problem. Swapping foundation models will not fix it.
No managed-service lock-in. No screenshots from the Bedrock console. Every component is reviewable AWS CDK or Terraform.
We design the agent graph — supervisor, specialists, and tool boundaries — then implement it as AgentCore action groups backed by typed Lambda handlers with JSON-schema tool contracts.
Denied topics, PII and PHI filters with managed and regex types, content policies at calibrated thresholds, and contextual grounding tied to Knowledge Base sources. Every block is logged for audit.
Session state in DynamoDB with TTL and conversation-ID partitioning, plus a separate long-term store for durable user facts and approved outcomes. KMS customer-managed keys throughout.
CloudWatch dashboards per agent and per action group, AWS X-Ray traces end-to-end through API Gateway, AgentCore, Lambdas, Knowledge Base retrieval, and Guardrails evaluation, plus OpenTelemetry exporters to Datadog, Honeycomb, or Grafana.
Dev, staging, and prod environments shipped as AWS CDK (TypeScript) or Terraform stacks. CI/CD pipelines for Lambda deploys, Knowledge Base re-ingestion, Guardrails versioning, and one-command rollback.
All Bedrock, DynamoDB, S3, and CloudWatch traffic stays on PrivateLink VPC endpoints. Least-privilege IAM with permission boundaries. CloudTrail data events on every Bedrock and memory operation.
The same pipeline we run for every engagement. Linear, reviewable, and reproducible across dev, staging, and prod environments.
Map user intents, tool boundaries, and trust zones. Decide supervisor-vs-flat agent graph, which models route to which action groups, and where Guardrails sit. Output: an architecture brief signed off by your security and platform leads.
Implement action groups as typed Lambda handlers with JSON-schema tool contracts. Provision Bedrock Knowledge Bases on S3 with embedding model selection, chunking strategy, and re-ingestion triggers wired to source-of-truth systems.
Configure denied topics, sensitive-information filters (PII, PHI, payment data via managed and regex types), content policies, and contextual grounding checks. Calibrate thresholds against a curated eval set, then version the Guardrails config in IaC.
Short-term DynamoDB tables with conversation-ID partition keys and TTL, plus a long-term table for durable user facts. KMS customer-managed keys, point-in-time recovery, and on-demand capacity sized to peak agent fan-out.
CloudWatch log groups and dashboards per agent, AWS X-Ray active tracing across API Gateway, AgentCore, and every action-group Lambda, OpenTelemetry collectors exporting spans and metrics to your existing APM. SLO alarms for p95 latency, error rate, and Guardrails block ratio.
AWS CDK (TypeScript) or Terraform stacks for dev, staging, and prod. CI/CD pipelines for Lambda deploys, Knowledge Base re-ingestion, Guardrails versioning, and one-command rollback. Everything reviewable in code, nothing hand-edited in the Bedrock console.
Deploy into your AWS account behind PrivateLink VPC endpoints for Bedrock, DynamoDB, S3, and CloudWatch. Least-privilege IAM with permission boundaries, CloudTrail data events on every Bedrock and memory call, and runbooks for rotation, redeploy, and incident response.
Patterns we have shipped — anonymized. AWS-committed enterprises and regulated industries that need customer-VPC AI.
AWS-committed banks and asset managers running internal advisor copilots, KYC triage, and policy-aware research agents — all inside their AWS Organization with PrivateLink, KMS, and CloudTrail data events on every Bedrock call.
Example shape
Multi-agent advisor desk: supervisor agent routes to portfolio, compliance, and document specialists, each with its own Guardrails profile.
HIPAA-aligned deployments for clinical summarization, prior-auth drafting, and pharma medical-info agents. BAA-covered AWS services, PHI filters in Guardrails, KMS customer-managed keys, and 7-year S3 retention on every transcript.
Example shape
Clinical note summarizer with PHI-redaction Guardrails, grounded against the customer's own Bedrock Knowledge Base of approved guidelines.
Architectures that target FedRAMP-eligible AWS GovCloud postures: VPC endpoints for every service, permission boundaries, CloudTrail to a separate logging account, and signed IaC reviewable by your authorizing official.
Example shape
Citizen-services agent with denied-topics Guardrails for off-mission queries and contextual grounding to vetted policy documents.
Companies with existing AWS EDP or PPA commitments that want internal AI to spend against that contract, run on familiar IAM and CloudWatch, and avoid a parallel third-party SaaS procurement cycle.
Example shape
Internal engineering copilot calling action-group Lambdas for Jira, Confluence, and GitHub via secrets stored in AWS Secrets Manager.
B2B SaaS vendors deploying per-tenant AgentCore stacks for customers who require customer-VPC AI. Each tenant gets its own KMS key, its own DynamoDB tables, and its own Guardrails configuration via parameterized IaC.
Example shape
Per-tenant document-intelligence agent provisioned by a CDK pipeline triggered from the customer onboarding workflow.
Engagement-level SLOs from our productized AgentCore deployments — not marketing rounding.
Backed by 50+ projects delivered, 96% client satisfaction, and 4 production AI products (Paralegent AI, ProspectVox, VectorHire, VORTA) since Cognilium was founded in 2019.
First live traffic in your AWS account by day five. Full observability, guardrails, and multi-env IaC by week four.
Map user intents, action-group boundaries, and trust zones. Pick foundation models per task. Sign-off on security topology with your platform and compliance leads.
AgentCore configured, baseline Guardrails active, Bedrock Knowledge Base on S3, DynamoDB memory live, CloudWatch dashboards, deployed into your AWS account. First live agent traffic.
X-Ray and OpenTelemetry tracing, denied-topics and PII Guardrails calibrated, long-term memory schema, PrivateLink VPC endpoints, KMS customer-managed keys, CloudTrail data events.
Dev/staging/prod AWS CDK or Terraform stacks, CI/CD pipelines, rollback runbooks, SLO alarms, on-call playbook. You own the code, the keys, and the accounts.
The questions we get on every first call. Direct answers.