AI agents for your business, built right.
Most agent demos die in production. The ones that survive look architecturally different from day one. In this focused 2-day workshop, we design and prototype the multi-agent system your team will actually deploy, with the observability, fault tolerance, and cost control patterns that production requires.
Book a free 30-min Idea Call →The agent demo is the easy part.
Production multi-agent systems are a different category of engineering. The difference between a Tuesday-afternoon demo and a production deployment is observability, fault tolerance, cost containment, human-in-the-loop boundaries, and an architecture that survives rate limits, model regressions, and data drift.
Most agent pilots are quietly decommissioned within six months because the production patterns were missing from day one. This workshop builds them in from day one.
A production-shaped agent prototype, against your data.
Two days, your team in the room, a working multi-agent prototype on Amazon Bedrock with CrewAI or LangGraph orchestration.
Multi-Agent Architecture
Agent topology, role definitions, handoff protocols, and the orchestration layer selected for your operational reality.
Working Prototype
Functional system running against your real data, deployed to your AWS account or a controlled sandbox you control.
Observability and Cost
Per-agent token budgets, per-task latency targets, structured decision logs, and the dashboards to see drift early.
Fault Tolerance Patterns
Retry, fallback, degradation, and circuit breaker patterns sized for your reliability requirements.
Production Roadmap
What the path from prototype to production looks like, scoped in weeks, with the dependencies and the engineering handover surfaced.
AI Agent Workshop
Pre-session architecture review, the 2-day build with your engineering team, the prototype against your data, and the production roadmap. AWS PoC funding (up to €10K) commonly covers this.
Book a free Idea Call to scope itTwo days, structured.
Each session forces a decision. Each decision is supported by something you can see working.
Architecture
Use case scoping, agent topology design, orchestration framework selection, integration surface mapped.
Tool Integration
Each agent's tool surface built, data integrations wired, first end-to-end run against test data.
Hardening + Handover
Observability and fault tolerance built in, real-data run, evaluation, production roadmap, handover to your engineering team.
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 booking the workshop, we confirm fit, scope the use case, and check AWS PoC funding eligibility.
- Confirm the use case is tractable for a 2-day build
- Scope the integration surface and the data access
- Apply for AWS PoC funding if eligible
- Get the calendar slot and the intake brief
Typically respond within one business day. Vienna, Austria · serving clients globally · [email protected]
