Now engaging Q1 2026 cohorts

AI systems built for real operations.

Fito Industries designs and builds AI agents, automation, and infrastructure that integrate with the systems your business already runs on — engineered to operate in production, not in prototypes.

orchestration · live
fito/ops/pipeline.v3

Built on the stack your engineering team already trusts

Anthropic
OpenAI
Vercel
Postgres
Snowflake
Temporal
Kubernetes
01Capabilities

Engineering depth across the entire AI stack.

We work end-to-end — from architecture and infrastructure to the agents, retrieval layers, and operator tooling that sit on top.

Explore all services
01

AI Agents

Production-grade agents with deterministic guardrails, evals, and human-in-the-loop checkpoints — designed to operate against real systems of record.

02

Workflow Automation

Durable, observable automation across CRM, ERP, support, and ops tooling. Replace brittle scripts with orchestrated, recoverable pipelines.

03

Enterprise Integrations

Bidirectional integrations with Salesforce, NetSuite, Snowflake, Zendesk, and internal services — typed, versioned, and contract-tested.

04

Internal AI Tools

Copilots and operator consoles for ops, sales, finance, and support teams — built around the workflow, not bolted onto a chat window.

05

Retrieval & Knowledge

Retrieval systems with hybrid search, structured grounding, and access controls. Built for accuracy at the volumes enterprises actually have.

06

AI Infrastructure

Inference, evals, observability, prompt CI, and cost controls. The platform layer required to run AI as a real production workload.

02What makes us different

The difference between a demo and a production system is everything.

Senior engineers

Every engagement is staffed with senior engineers — not delegated to juniors after the sales call.

US timezone overlap

LATAM-based teams operating on US business hours with same-day iteration cycles.

Operate, don't ship-and-leave

We stay in production with you — observability, on-call, evals, and continuous tuning.

Architecture first

Systems are designed around your data model, access controls, and SLAs — not around a demo.

Human-in-the-loop by default

Critical paths route through review, approval, and escalation — designed for accountability.

Custom, not configured

We build to your workflow. No off-the-shelf SaaS dressed up as a custom system.

03Process

Engineered like an engagement, not an agency project.

See full process →
011–2 weeks

Discovery

We map workflows, systems of record, data, and constraints. Output: a written architecture brief and ROI hypothesis.

022–3 weeks

Architecture

System design, integration topology, evals strategy, and rollout plan. Reviewed with your engineering leadership.

036–12 weeks

Build

Iterative build against production data. Weekly demos, continuous evals, and integration milestones.

04Ongoing

Operate

Monitoring, on-call, prompt CI, regression evals, and continuous tuning. We stay accountable to the metric.

04Industries

Where we deliver measurable operating leverage.

eCommerce

Catalog ops, returns automation, support copilots, fraud triage.

Logistics

Routing intelligence, exception handling, document automation.

Operations

Process automation, ticket triage, knowledge ops, internal copilots.

Customer Support

Tier-1 deflection, agent assist, QA scoring, escalation routing.

Finance Operations

AP/AR automation, reconciliation copilots, anomaly detection.

Data Operations

ETL agents, data quality, retrieval pipelines, governed search.

ENGAGE

Build AI systems that actually operate in production.

We respond to qualified inbound within one business day. Engagements typically begin within two weeks of first call.