Multi-agent systems that survive contact with your data.
Production-grade agent architecture using CrewAI, LangGraph, and Amazon Bedrock, designed for the operational reality of your business, not the demo bench. Built by an AWS Community Hero who ships these systems for a living.
Book a free 30-min Idea Call →Agent demos are easy. Agent production is the hard part.
A multi-agent demo on a clean dataset and a vendor sandbox is now a Tuesday afternoon exercise. Production multi-agent systems running against your real data, your real integrations, your real governance perimeter, are a different category of engineering work.
The difference is observability, fault tolerance, cost containment, human-in-the-loop boundaries, and an architecture that survives the day the foundation model API rate-limits your most important agent. Most agent pilots are decommissioned within six months. The ones that survive look architecturally different from day one.
Production agent systems with the right boundaries.
Whether the workshop output is a working orchestration prototype or a production architecture review, the boundaries are explicit.
Orchestration Architecture
Multi-agent topology, role definitions, handoff protocols, and the orchestration layer (CrewAI, LangGraph, or Bedrock Agents) selected for your operational profile.
Tool and Data Integration
Each agent's tool surface, the data sources it can read, the actions it can take, and the human-approval gates for irreversible actions.
Observability and Cost Control
Per-agent token budgets, per-task latency targets, structured logging for every agent decision, and the dashboards to see drift before it hurts.
Fault Tolerance Patterns
Retry, fallback, degradation, and circuit breaker patterns sized for your reliability requirements. What happens when the model fails matters more than what happens when it works.
Production Runbook
Deployment, on-call response, model rotation, and the operational handover to your engineering team.
AI Agent Systems
Includes pre-session architecture review, the 2-day workshop with your engineering team, and the agent orchestration prototype against your data. Often eligible for AWS PoC funding.
Book a free Idea Call to scope itWhere Agent Systems fits in.
The workshop runs as either a focused prototype build or a production architecture review for an existing agent system.
Prototype Build
From orchestration design to working multi-agent prototype against your data in 2 days. Often follows the Flagship Discovery + Concept workshops.
Architecture Review
An existing agent pilot is reviewed against production patterns. Output is the remediation plan and the production-readiness scorecard.
Engineering Pairing
Embedded pairing with your engineering team for the production hardening, on an hourly or sprint basis. Scoped after the workshop.
Up to 100% AWS funded.
As an AWS Community Hero, I navigate the funding process with you, from application to approval. Eligibility is assessed in the first 30 minutes, not added as an afterthought at the end.
PoC Funding
Covers prototype development. Workshop deliverables engineered to meet funding requirements.
Migration Funding
For larger cloud transformation projects. Multi-phase plan structuring and end-to-end application support.
Linda Mohamed
A boutique consulting practice for organisations that want their AI work led by the person actually shipping it. Workshops are shaped around your data, your team, your operation. Based in Vienna, Austria. Remote or on-site, English or German.
Book a free 30-min Idea Call →Begin with a 30-minute Idea Call.
Before the workshop, we confirm the engagement type (build vs review), the scope, and the AWS funding picture.
- Confirm whether this is a build, a review, or an engineering pairing
- Scope the agent topology and the integration surface
- Check AWS PoC funding eligibility
- Get the calendar slot and the intake brief
Typically respond within one business day. Vienna, Austria · serving clients globally · [email protected]
