The AI Automation Audit: one fixed fee, about two weeks. I map the manual work, put the hours and dollars on each item, and hand you a clear first move. Built for back-office and professional-services teams.
Results described are one firm's outcome and are not a typical or guaranteed result.
Somewhere in your business, right now, a capable person is:
It is not a budget problem. It is a clarity problem. Nobody has mapped where the hours go or what is realistic to automate, so the manual work just continues, every week, quietly.
A one-time, fixed-fee, one-to-two-week engagement. I learn how your business actually runs, then hand you a prioritized roadmap of what to automate, with the hours and dollars next to each item, and a clear first move. You can run it yourself, or have me build it.
No big software project. No platform to commit to. No open-ended consulting meter.
Read the full breakdown of the audit: what it is, what you get, and what it costs →
The top 5 to 10 things worth automating, ranked.
For each item: what is manual today, the approach, hours saved per month, dollar value per year, and effort to build.
Things you can act on right away, no project required.
What to do first, second, third, with rough investment for each build.
A plain-language walkthrough of the top moves with you and your team.
15 years running operations behind every recommendation, not AI hype.
We confirm there is a fit and pick the areas worth looking at.
A few working sessions with you and your team to see the real workflows: the systems, the handoffs, the manual steps.
You get the written roadmap and a live call to walk through the top opportunities and the recommended first move.
The audit is a single fixed fee, not an hourly meter. I quote it after a short discovery call, sized to your operation: the number of workflows and the departments involved. You know the number before we start.
Most engagements run one to two weeks end to end.
Book a call
I built this offer because I kept seeing the same thing in every business I worked in: good people stuck doing work a computer should do. The audit is the honest, low-risk way to find out what that is costing you and what to do about it. If it is not worth it, I will say so.
I am Wil Mora. I have spent over a decade leading operations, logistics, and digital transformation for companies in Peru, the US, and Canada, with a finance degree behind it.
For years that meant running real operations: dispatch and logistics across 20 plants and hundreds of trucks, teams of 20-plus, and the budgets that come with them. Then I moved into transformation and led the projects that introduced AI tools, executive dashboards, and rebuilt workflows. One of them, an AI-assisted review system, cut a core process by up to 80% and saved around $150K a year.
Now I do that for other businesses through KHIPUAI. I have also built, in production for a North American back-office services firm, an AI pipeline that turns documents into posting-ready records in the firm's own ERP, used daily by non-technical staff, with a confidence grader that ran its monthly close at about 95% match to manual. That is one firm's result, not a guarantee, but it is the kind of time and money that hides in manual work.
Everything I build is finance-grade: a human reviews and approves anything that matters, nothing runs on its own, and it is designed to pass your IT and security team.
A selection of projects across operations, logistics, analytics, and AI automation, from more than a decade with companies in Peru, the US, and Canada. Anonymized where client confidentiality applies.
Built and rolled out an AI-assisted system to review technical specifications at a North American building-materials enterprise. It cut review time by up to 80%, saved roughly $150K a year, and the contract workflow was rebuilt around it.
Designed an executive sales dashboard on SQL, Qlik Sense, and AWS Redshift that reported the KPIs leadership actually used, at about 95% data accuracy, replacing slow manual reporting.
Optimized scheduling and routing across 20 plants and 280-plus trucks (over a million cubic meters of output a year) at a ready-mix concrete producer, using dispatch systems, SOPs, and training, cutting distribution costs about 15%.
For a North American back-office services firm, an AI pipeline that reads vendor-invoice PDFs and posts ready-to-approve draft records into the company's own ERP (Microsoft Dynamics 365 Business Central) with the source attached. Non-technical staff use it daily, and a person approves every post.
A GREEN/YELLOW/RED confidence grader over machine-generated accounting records that ran a monthly close at about 95% match to manual, plus a contracts-vs-actuals engine that surfaced six figures of recurring leakage for one firm.
Redesigned a sales and quality-control process with clear steps and digital tools at a building-materials company, lifting the number of projects reviewed by 20% and adding roughly $1M in sales.
Results described are one firm's outcome and are not a typical or guaranteed result.
A couple of hours of your team's time across a week, and a look at the workflows and systems involved. Nothing is automated or changed during the audit; it is diagnosis first.
Yes. I look at how work flows, not your secrets. Anything I build later runs inside your own security controls (application allowlisting, Microsoft Entra, Azure Key Vault), with least-privilege access. You get a security one-pager for your IT team.
No. Everything is draft-not-auto-post: the system prepares the work, a person reviews and approves. That is deliberate, and it is the safeguard.
They hand you a Zapier flow and a spreadsheet. I am a finance operator who builds automations that post real records into the systems you already run and survive your security review.
Then I tell you honestly, and you have spent a small fixed fee to know your operation is leaner than most. That is a good problem to have.
No. The roadmap is yours. If you do build with KHIPUAI within 30 days, the audit fee credits toward it.
Fixed fee, fixed timeline, no obligation.
Book a free 30-minute call