About

# An operator, not an agency.

Most automation advice comes from people who have never run the operation they are automating. This is who is behind KHIPUAI, how the work is done, and what “finance-grade” actually means.

Founder

## Wil Mora

I have spent 15 years on the operating side of real businesses in Peru, the US, and Canada, with a finance degree (B.Comm, Toronto Metropolitan University) underneath it. Bilingual, English and Spanish.

The first decade

## I paid the cost of manual work every day.

Running operations directly: supervising high-volume production plants, then leading logistics and customer service across 20 plants and 280-plus trucks moving over a million cubic meters of product a year, with a team of more than 20 people.

That work taught me what manual processes cost, because I paid that cost every day in overtime, errors, and missed handoffs.

Then the other side of it

## The same problem, from the inside.

At a North American building-materials enterprise I led the projects that introduced AI tooling into core workflows.

AI-assisted review

Introduced structured AI review into a technical workflow where accuracy and traceability mattered.

Executive analytics

Built decision tools on the company's own SQL, Qlik, and AWS data stack.

Process redesign

Rebuilt operational and commercial work around clear steps, ownership, and measurable decisions.

Founder experience from a prior operating role, not a KHIPUAI client case study.

Today

## Built for operating teams, not demos.

KHIPUAI builds working systems that connect documents, business rules, dashboards, and approvals inside the tools a team already relies on.

Specific client stories and measured outcomes will be published after evidence and permission are reviewed.

Developer

## Alex Pena

Alex builds and tests the systems behind the work: KHIPUAI's website and the internal tools the automation is delivered through. He works across the build, from the interface a client sees to the checks that run before anything ships.

Methodology

## How the work is done.

### Map the real workflow

Not the org chart version. The actual steps, systems, handoffs, and workarounds your team uses, observed in working sessions.

### Measure it

Hours per month and dollars per year on every manual step, using your team's real volumes and conservative assumptions, so the numbers survive scrutiny.

### Rank by value against effort

Quick wins first, big builds only when the math earns them. The output is a sequence, not a wish list.

### Build with a human in the loop

Anything that matters is draft-not-auto-post: the system prepares the work, a person reviews and approves. Nothing runs on its own.

The standard

## What “finance-grade” means here.

### Accuracy-checked

Machine output is graded for confidence (GREEN / YELLOW / RED) so reviewers know exactly where to look, instead of trusting a black box.

### Human-approved

Automations create draft records in your own systems. A person approves every post that matters. That is a design principle, not a limitation.

### Auditable

Every record traces back to its source document, so your accountant, auditor, or client can follow the trail.

### Survives your IT review

Built to run inside enterprise security controls: application allowlisting, Microsoft Entra identity, Azure Key Vault, least-privilege access. Your IT team gets a security one-pager.

It is a working standard, not a certification.

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Canonical page: https://khipuai.co/about/
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