AI agents that survive production

We design, build, and operate custom AI agents and automation pipelines — with the guardrails, evals, and observability that separate a demo from a system you can trust with real work.

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Platform

From first agent to agent fleet

A full-stack AI engineering practice. We handle the part everyone underestimates: not building the agent, but making it reliable enough to run your workflows every day.

Bounded-autonomy agents

Agents that reason, plan, and act inside guardrails you define — autonomous where it's safe, escalating to humans where it isn't.

agentAnalyzing invoice batch (247 items)...
tool→ extract_fields() — 247/247 ✓
agentValidating against ERP records...
tool→ match_records() — 99.2% match rate
agent2 anomalies outside confidence threshold — escalating to human review.
done✓ Pipeline complete in 3.2s · Full audit trail logged

What We Build

AI engineering, end to end

From single-workflow agents to orchestrated fleets — we ship the systems, then keep them reliable as your data and business change.

AI Agents

Agents that reason, plan, and act inside guardrails you define — customer support, research, back-office workflows. Autonomous where it's safe, escalating to humans where it isn't.

MCPAgent SDKsHuman-in-the-loop

Multi-Agent Orchestration

When one agent isn't enough: specialized agents that hand off work, share context, and operate under central coordination — the orchestration layer that does for agents what Kubernetes did for containers.

OrchestrationA2A patternsShared context

Evals & AgentOps

An agent you can't test is an agent you can't trust. We build eval suites, regression tests, tracing, cost monitoring, and alerting — so you know exactly what your agents did, why, and what it cost.

EvalsTracingCost monitoring

Process Automation

End-to-end workflow automation that eliminates repetitive work and human error. We pick the right tool for the job — sometimes that's an agent, sometimes it's a deterministic pipeline. We'll tell you which, honestly.

n8nCustom pipelinesAPIs

AI Integration & Data Intelligence

Agents are only as useful as the systems they can reach — and the data behind them. We connect AI to your CRM, ERP, warehouse, and internal tools with scoped permissions and full audit logs, and build the retrieval layer that makes your agents accurate instead of confidently wrong.

MCP serversRAGVector DBs

AI Strategy

A clear roadmap, not a slide deck: which workflows are actually automatable, in what order, with what ROI — and which ones you shouldn't touch yet.

AuditRoadmapBuild/buy analysis

Our Process

How we work

A focused, transparent process that gets working AI into production fast — without the enterprise consulting bloat.

01

Discover

We map your workflows, audit your data and systems access, and identify where automation actually pays off in your context. We also tell you what not to automate yet. No generic playbooks.

02

Build

We design, build, and eval-test your system — iterating with your team weekly. You see traces, test results, and costs at every step. Nothing ships until it passes the evals we agreed on together.

03

Operate & Scale

We deploy to production with monitoring, alerting, and rollback from day one. Then we stay: tracking drift, tuning performance, and expanding scope as the system earns trust.

Why FarotoAI

Built different

We're not a generalist agency or a SaaS vendor. We're AI engineers who build bespoke systems for your exact problem — and stick around to run them.

Full-Stack AI

Data pipelines, retrieval, agent orchestration, deployment, monitoring — one team, end to end. No handoffs between a strategy team and a delivery team.

Ships in Weeks

Most projects go from discovery to production in under 8 weeks. Week one ends with a working prototype against your real data, not a requirements document.

Production-Ready

No proof-of-concept theater. Every system ships with evals, guardrails, audit trails, and rollback — because 40% of agent projects fail, and it's almost always the ones built without them.

Bounded Autonomy

Our agents act on their own where it's safe and escalate to humans where it isn't. You define the boundaries; the system enforces them and logs everything.

Transparent Process

Clear milestones, visible traces, measurable eval scores. You'll never wonder what the agent did or why. No black boxes, ever.

ROI-Focused

Every system is tied to a number we agree on up front — hours saved, error rate, cost per task. If we can't measure it, we won't pitch it.

Results

What this looks like in practice

Invoice reconciliation — logistics

247-item invoice batches matched against ERP records at 99.2% accuracy, with anomalies escalated automatically.

12 hrs/week → 20 minutes

Support triage — SaaS

Inbound tickets classified, enriched with account context, and routed — with the agent drafting responses for human approval on edge cases.

First-response time down 74%

Get started

Tell us about your worst workflow

The first conversation is a working session, not a pitch — we'll tell you honestly whether an agent is the right tool, what it would take, and what it should cost. Free, no strings.

Or email us directly at hello@farotoai.com