Accounting & finance automation, engineered
Reconciliation, payables, reporting: done manually, they invoice your business every month through payroll. Wiz measures the bleed, builds the system that ends it, and keeps it running.
01 / The bleed
Manual data entry, reconciliation and report assembly behave like a cost center that never hits the ledger: paid monthly through payroll, growing with volume, compounding in risk. Published finance-operations research puts the typical exposure here.
10 to 20 hours per analyst, per week, lost to exporting, matching, re-keying and fixing.
10–20 h/wk
Six to ten-plus business days to close the month. Decisions run on numbers that are already weeks old.
6–10+ days
Typical manual-entry error rates. Each error costs multiples of the keystroke in rework, restatements and audit questions.
~1–4%
The process lives in one spreadsheet, in one person's head. It does not survive a resignation.
unpriced
Industry-typical ranges from published research, not Wiz results. Your numbers are computed in the Audit, from your payroll and your volumes.
02 / Method
1–2 weeks
We map every manual workflow, price your exact Cost of Inaction, and hand you a phased roadmap your board can interrogate. If the numbers do not justify a build, we tell you.
typically 4–10 weeks
A secure engine that separates revenue growth from headcount. Python, FastAPI and React systems that remove the manual work, built for your auditors as much as your analysts.
month to month
Hosting, monitoring, iteration and support. Volumes grow and rules change; the system keeps pace instead of decaying.
03 / The case
Builds are scoped so the modeled payback lands inside your current fiscal year. If the Audit's numbers cannot support that, we do not propose the build.
The roadmap defines the indicators we measure against in the first quarter: hours reclaimed, close duration, error and rework counts. You are not waiting a year to know it worked.
Every input in the payback model is yours: loaded labor cost, observed hours, transaction volumes. No black-box multipliers, no vendor magic numbers.
Least-privilege access, audit trails, and zero-data-retention options for any AI-assisted component. Financial data can stay inside your environment where policy requires it.
04 / Evidence
Client finance data is client business. No names, no logos, no invented quotes: only real engagements, described by outcome.
Retail finance · Caribbean
A multi-location operator ran daily sales control by hand. Wiz automated ingestion and reconciliation across three fiscal years of history, delivering an intelligence report every morning at 07:00. A store-level revenue collapse surfaced the same period it happened, not quarters later.
837,000+ rows · 3 fiscal years · daily report, 07:00
Food production · Dominican Republic in progress
An active engagement with a food-processing plant: production-yield control (cutting yields, drip loss, mass balance) is moving from paper worksheets to a mobile system of record, with a seam into the plant's ERP.
Our own operation
Our intake, audit computation, scheduled reporting and uptime watchdogs are automated end to end. We sell the operating model we run ourselves.
05 / Studio
Wiz is run by a finance-systems engineer who has built lease-accounting controls under IFRS 16 / ASC 842, retail sales-intelligence pipelines and market-data systems, and who writes the production code himself. The person who audits your workflow is the person who builds it.
Based in Santo Domingo. Working with finance teams across the United States, the Caribbean and Latin America, in English and Spanish.
Not at premium scale yet? We keep room for a few operational-automation engagements for growing SMBs. Write to us.
06 / Questions
A Process Audit. We map every manual workflow, quantify your Cost of Inaction from your own data, and hand you a phased roadmap and a risk register you own. You leave with documents you can act on, whether or not you build with us. We talk scope and numbers after we have met and understood your operation.
Published automation cases commonly model payback in the 6-to-18-month range, and we scope builds so the modeled payback lands inside your first fiscal cycle. What we will not do is quote your number before the Audit: any figure produced without your data would be marketing, not analysis.
Least-privilege access granted by you, NDAs as standard, processing inside your environment where policy requires it, audit trails on what we touch, and zero-data-retention options for any AI-assisted component. The full statement is in the Trust section below; specifics are agreed in writing per engagement.
Most builds ship in 4 to 10 weeks, phased so the highest-payback workflow goes live first. The timeline is fixed in the Audit roadmap, not discovered mid-project.
Then the Audit is still the right first step: your team inherits the workflow map, the roadmap and the risk register, and builds from a plan instead of a hunch. Some clients take the roadmap in-house. We would rather lose a build than push one that should not happen.
Start with a free 30-minute call. We map where the manual work is bleeding, what automation removes, and whether it pays. If it's a fit, the engagement begins with a Process Audit. No obligation.
Prefer email first? hello@wizautomations.com
07 / Trust
Draft · to be finalized with counsel
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Data retention: engagement records are kept only as long as the engagement and applicable law require. You can request deletion at any time by writing to the contact address below.
This summary is a working draft published for transparency, not a contract. Final terms are agreed per engagement and reviewed with counsel.