IteraSystems — AI implementation studio

AI systems that run real businesses.

We diagnose an operation, design its system, build it with an agentic fleet, deploy it on efficient infrastructure, and turn it into a reusable business capability. Quoting, pricing, demand, and operations — started small, scaled by evidence, and proven first inside our own digital microfactory.

Request a diagnostic See an agent demo ↓

50+Enterprise clients on the pre-sales assessment platform Arturo designed

2–4 moEnterprise sales cycle with that platform — down from 8+ months

+60%Sales-process CSAT after the assessment platform went live

50+Modules production-deployed for an industrial distributor, operated with the client team

42 secFrom a customer request to a quote ready for human review — previously days

77+Plants seen across 9+ years in AI for industrial operations

Most mid-sized businesses do not need an AI transformation. They need their quote to go out in minutes instead of days, their prices to hold margin, and their operation to live in one system instead of spreadsheets, email, and chat threads. That is what we build.

We work as a founder-operator studio, not an agency. Every engagement runs on IS2, our consulting methodology that moves from an evidence-based diagnostic to systems in production — AI agents that execute real work under human approval, with role-based access, audit trails, and automated backups from day one.

We eat our own cooking. IteraShop², our in-house digital manufacturing venture, runs its operation — costing, quoting, catalog, production — on the same agentic stack we implement for clients. The lab comes before the client.

The window matters. The frontier AI labs are moving down into the services layer, but their playbook is aimed at the Fortune 500 first. Mid-market companies get their best implementation partners now: small teams that think through what to build with you — and then build it.

Built, shipped, and operated.

IteraShop² — in-house ventureFeatured

A make-to-order microfactory that runs on its own agentic operating system

Our digital manufacturing venture integrates the chain from demand to the shop floor — CNC, 3D printing, and laser — on an operating system we built for ourselves. It makes real physical product to order: decorative lighting, branded stamps, cutters and rollers, automotive and marine parts, and industrial fixtures. It is the proving ground where our stack earns its way into client work.

In production · in-house

13Fabrication machines — 11 FDM printers, 1 SLA printer, and 1 laser

5Part families made to order — lighting, branded tooling, automotive, marine, industrial fixtures

3Operating engines — market, product, execution — across an 11-process value chain

FastAPIReactTypeScriptAI agent orchestration3D printing (FDM + SLA)LaserParametric costing engineEdge deploymentGitHub workflows

Industrial equipment distributor (Mexico)

Quote-to-cash: a commercial operating system for an industrial equipment distributor

An industrial equipment distributor ran its business on spreadsheets, paper, and chat. A quote-to-cash operating system now covers lead → quote → order → service → after-sales in one role-gated portal, with finance mirrored from the ERP and paid media operated through the ads API. Production-deployed and operated with the client team.

Production-deployed · operated with the client team

50+Operational modules in one role-gated portal, lead to after-sales

42 secFrom a customer request to a quote ready for human review — previously days

FastAPIReactTypeScriptLocal LLMs (privacy-sensitive pipelines)

IteraAgents — lead agents

WhatsApp agents that qualify, follow up, and hand off to a human

A lead agent that answers inbound messages on WhatsApp and Messenger, qualifies with a short set of questions, places the lead in a funnel stage, schedules the follow-up, and hands off to a person with a summary — with human approval where it matters. The capability is verified; the first client deployment is built and in pre-launch.

Capability verified · first deployment pre-launch

3Qualifying questions before a lead is classified

4Stages per conversation — lead, agent, follow-up, human

WhatsApp BusinessMessenger · InstagramLLM agent with guardrailsFunnel stages

Industrial AI SaaS · pre-sales platform (prior role)

A pre-sales assessment platform that cut the enterprise sale to months

Designed while leading the technical side of the commercial team at an industrial AI SaaS: a structured process assessment, an ROI simulation, and a personalized demo built from the prospect's own inputs. Used with 50+ enterprise clients, it shortened the sales cycle from 8+ months to two to four months and raised sales-process CSAT by 60%.

Delivered in a prior role · 50+ enterprise clients

50+Enterprise clients assessed with the platform

2–4 moEnterprise sales cycle, down from 8+ months

Process assessment engineROI simulationLLM intakeSemantic matching

Demand-generation system

A marketing engine that turns a product catalog into demand

A system that runs digital demand generation across paid social, outbound, and a partner program — generating ads, pricing, and copy straight from the product catalog through API automation, with a human approving every publication. Built as a reusable layer, it feeds both the distributor portal and IteraShop².

In operation · paid media via API

3Demand channels run as one system — paid social, outbound, partner program

95Ad creatives in the distributor's internal gallery

Meta Ads APIApollo.ioAPI automationCatalog-driven generation

In flight · US

Active engagements in Houston, shown anonymously and with their real status.

Sign & graphics company (Houston, TX)

Lead agent on WhatsApp, Messenger, and Instagram

Qualification, automatic follow-up, reactivation of customers from the last one to three years, and an appointment link — with a human taking over when it matters.

Building · agent built, pre-launch

Commercial glazing contractor (Houston, TX)

Supplier specs, price comparison, and assisted quoting

Curtain wall and storefront work: supplier spec sheets and price comparison per vendor, assisted quoting, and quoted-versus-actual close — on top of the tools the team already uses.

In discovery

Leads answered, qualified, and handed to a human.

A WhatsApp agent answers the first message, asks three qualifying questions, places the lead in a funnel stage, schedules the follow-up, and hands the conversation to a person with a written summary. A human approves what matters.

Capability verified · first deployment pre-launchRead the IteraAgents file →

Demo · lead → agent → follow-up → human

Illustrative conversation. A lead writes on WhatsApp; the agent asks three qualifying questions, classifies the lead as qualified, schedules the follow-up, and hands off to a salesperson with a written summary. A human approves before the next reply goes out.

Lead
Agent
Follow-up
Human

WhatsApp · inbound lead

LeadHi — do you furnish offices? We're moving to a new floor, about 40 desks.
Agent · Q1Thanks for reaching out. Is this a new fit-out or a replacement of current furniture?
LeadNew fit-out. The floor is empty.
Agent · Q2When do you need the team seated?
LeadMove-in is early March.
Agent · Q3Who else is part of the decision?
LeadMe and our operations manager.

Classified · funnel stage

New
Engaged
Qualified
Proposal
Closed

High intent · 3 of 3 questions answered

Follow-up · scheduled

Floor-plan request sent, site-visit link offered. Reminder in 48 h if there is no reply.

Handoff · sales

Need: 40 desks, new fit-out
When: Move-in early March
Who: 2 decision-makers
Next: Floor-plan review call

Human approved the next reply

The IS2 method

Diagnose
A paid, structured assessment of your commercial operation — sales, costs, administration, and data. Guided working sessions where every answer is graded on an evidence ladder: nothing reaches a recommendation until it has been observed in a real file, screen, or number, not just claimed.
Scope
The diagnostic produces a gap map and an exact plan: which modules, in what order, at a closed price — not an estimate. What is out of scope is written down too, so there are no surprises and no open-ended projects.
Ship to production
We build the system on your real data and put it in front of your team in weeks, not quarters. AI does the work — reading requests, filling quotes, generating documents — and a human approves before anything goes out.
Operate and evolve
A system that stands still is a system that dies. We either hand over everything cleanly — code, data, documentation — or stay on as your systems partner with a weekly improvement cadence, quality gates, and a support desk.

Four pillars, one way up.

IteraConsulting

Assessments, advisory, and data analysis

An evidence-based read of your operation before anything is built: structured assessments, analysis of your historical commercial data, and advisory on what to automate first — and what to leave alone.

IS2 diagnosticHistorical-data analysisAdvisory

IteraAgents

WhatsApp agents that work your leads

Agents that qualify inbound leads, follow up automatically, and reactivate past customers on WhatsApp and Messenger — with a human approving what matters and receiving a clean summary at handoff.

QualificationFollow-upReactivationHuman approval

IteraMarketing

Operated paid media

Paid social operated as a system: creatives composed from your catalog, campaigns run through the ads API, and results read against real conversations — not vanity metrics.

Meta Ads APICatalog-driven creativesConversion data

IteraSystems

Systems and micro-systems on our chassis

From a single focused tool to a full commercial operating system — quoting, catalog, pricing, finance mirrors, role-based portals — built on a production chassis we already run, so you start from proven parts.

Quote-to-cashMicro-systemsRole-based accessBackups

Start small, scale by evidence.

Every engagement starts at an entry door and moves up one rung at a time — only when the previous rung has shown results in your own numbers.

Entry doors
- Agent demo on your use case (free)
- Historical-data analysis
- IS2 diagnostic
Rung 01
Agent
One agent on one channel, working real leads.
Rung 02
Agent + data
The agent reads and writes your commercial data.
Rung 03
Demand
Operated paid media feeding the agent.
Rung 04
Micro-system
A focused tool for the next bottleneck.
Rung 05
Integral case
A full commercial operating system.

Live demo · A-08Live — illustrative model

RFQ intake

AI draft

Human gate

Quote out

Live demo

Quote a part, end to end

The same intake → draft → human-approval pattern our production systems run, in miniature. Spec a part; a deterministic, illustrative pricing model drafts the quote and a human gate signs it off. Demo figures only — no customer data.

Quotation — awaiting RFQ

FDM · PLA · M envelope · as-built · 25 pcs

Submit the RFQ on the left — the model drafts a quote instantly and routes it through the human gate before anything goes out.

Principal

Arturo Muñoz

Founder & AI Systems Architect

I have spent 9+ years in AI for industrial operations, inside 77+ plants, across product and technical-commercial roles: Product Owner of an industrial AI platform (FactoryOS), then technical lead of the commercial team at an industrial AI SaaS for four years and seven months, and now a founder running my own systems.

In that commercial role I designed a pre-sales assessment platform used with 50+ enterprise clients. It shortened the sales cycle from 8+ months to two to four months and raised sales-process CSAT by 60% — because buyers reasoned about their own operation instead of a generic pitch.

Today I run IteraSystems. I diagnose an operation, design its system, build it with an agentic fleet, deploy it on efficient infrastructure, and turn it into a reusable business capability. Every engagement starts small and scales by evidence.

I am also co-founder of IteraShop², a digital microfactory that runs on the agentic operating system we built for ourselves. My working stack: Claude Code as orchestrator, specialized agents per domain, local models where client privacy demands it, and a knowledge system that compounds every project into the next one.

Evaluating your first serious AI implementation? Let's look at your operation together.

Tell us your company and the process that hurts most. The diagnostic is paid, scoped in writing, and graded on evidence.

Request a diagnostic

Email: ventas@iterasystems.mx
LinkedIn: linkedin.com/in/arturomunozcruz
GitHub: github.com/arturo-a11y