System design & architecture
Agent topology, orchestration layer, tool boundaries, state management, failure modes. We map the full system before a line of code is written — so you're not redesigning under pressure three weeks in.
Service
Agentic AI Consulting for Production-Ready Systems
We help companies design and ship agentic AI systems that hold up outside the demo. Architecture, orchestration, evaluation harnesses, deployment — from the first whiteboard session to handoff.
What we deliver
What we deliver
Four focused engagements. Each one scoped precisely, delivered without bloat.
Agent build & integration
From LLM selection to tool calling, retrieval pipelines, memory, and API integrations. We build against your real data and real constraints — not a sanitized sandbox. Agentic AI for business that works at the edges, not just the center.
Evaluation & reliability
Evals are the hardest part of agentic AI consulting nobody talks about. We build the harness — golden sets, regression tests, behavioral assertions — so you know when the system breaks and why.
Production handoff & ops
Observability, alerting, cost controls, prompt versioning, model migration paths. We hand off a system your team can operate, not one that only works when we're in the room.
Who this is for
Who this is for
Three situations where agentic AI consulting changes the outcome.
CTO / VP Eng
You have a PoC. You can't get it to production.
The demo worked. Real data broke it. Now you're debugging prompt behavior in production with no evals, no observability and a deadline. We diagnose what's failing, harden the system and get you across the line.
Engineering team
Your agents work 80% of the time. The other 20% is a liability.
Edge cases compound. Tool calls fail silently. The agent loops. You've patched it enough times that the codebase is scared of itself. We refactor the architecture, add an eval harness and make the failure modes explicit and recoverable.
Founder / Head of Product
You need an agentic workflow but don't know where to start architecturally.
You understand the business case. You know what you want the agent to do. You need someone to translate that into a real system design — model choices, orchestration pattern, cost model, risk surface — before you hire a team to build it.
Process
How it works
Straightforward. No discovery theater, no scope creep by design.
Scoping call
One hour. We understand your system, your constraints and what's actually broken. No NDA required for the first call.
Architecture review
We audit your current setup or design from scratch. Deliverable: a written architecture document with explicit trade-offs and a recommended path.
Build & evaluate
We implement against your real data, with an eval harness running throughout. No big reveals at the end — you see the system evolve in a shared environment.
Handoff & docs
Working system, runbooks, eval suite, and a 90-minute handoff session. Optional retainer for ongoing model upgrades and prompt iteration.
FAQ
Frequently asked questions
What is agentic AI consulting?
Agentic AI consulting is the practice of designing, building and deploying AI systems that act autonomously to accomplish goals — breaking tasks into steps, calling tools, making decisions and recovering from failures without constant human input.
A consultant in this space helps you choose the right architecture, avoid the common failure modes (tool call hallucinations, context window mismanagement, poor recovery logic, absent evals) and ship something that holds up in production — not just in a controlled demo.
How long does an agentic AI project take?
A focused architecture engagement takes 2–4 weeks. A full build — from design through production deployment — typically runs 6–14 weeks depending on integrations, data complexity and evaluation requirements.
We scope precisely before starting, so there are no surprises mid-engagement. Timeline uncertainty is a design problem — we treat it as one.
How much does agentic AI consulting cost?
Engagements are scoped and priced per project, not billed by the hour. Architecture reviews start at $4,000. Full build engagements vary by scope and integration surface area.
Contact us after a brief scoping call and we'll send a fixed-price proposal within 48 hours. No retainer traps.
What's the difference between agentic AI and traditional automation?
Traditional automation follows fixed, deterministic paths: if X then Y. The logic is explicit and brittle — it breaks the moment reality deviates from the script.
Agentic AI systems reason about goals, plan sequences of actions dynamically, use tools and adapt when something unexpected happens. They handle ambiguity and partial information — which makes them powerful and significantly harder to evaluate correctly. That gap between "it works in the demo" and "it's reliable in production" is exactly where AI agent consulting services add value.
Do I need a large team to implement AI agents?
No. Some of the most reliable agentic systems we've seen are maintained by one or two engineers. What matters is clear ownership, solid observability and an evaluation harness — not headcount.
We design for the team size you actually have, not the team you might hire. Complexity is a liability in agentic systems — simplicity is an engineering value, not a compromise.
What happens after the project ends?
We hand off working systems with documentation, runbooks and an evaluation suite your team can own and extend. We run a 90-minute handoff session and answer questions for 30 days at no extra cost.
We offer an optional retainer for monitoring, model version upgrades and prompt iteration — but our goal is that you don't need us to keep it running. A system that requires its architects to operate is an unfinished system.
Start a project
Ready to ship real agents?
Tell us what you're building. One email, no forms. We'll respond within one business day with a proposed scope or direct questions.
hola@luz.uy