AI products for the back office

Your team is doing work an agent should be doing.

CloudHack embeds with your back-office teams, maps the manual work, and builds custom agentic workflows that run it — end to end. You buy the product, not the hours.

// one hour with your team → a working proof of concept

cloudhack-agent · invoice-processing · run #4,182
09:41:02invoice_received · vendor: MERIDIAN SUPPLY · $18,420.00
09:41:03extracting line items → 14 SKUs parsed
09:41:04matching PO #48812 in NetSuite… ✓ matched
09:41:05qty variance on SKU 8841 (ordered 200 / billed 210)
09:41:05routing exception → AP queue with variance summary
09:41:07posting 13 clean lines to ERP… ✓ posted
09:41:08run complete · human touches required: 1 (was 9)
manual: ~22 min / invoiceagent: 6 seconds
The problem

Back-office overhead is your quietest line item — and your biggest.

$0M
revenue company
$00M / yr
spent on repetitive back-office labor
00%
of that work is automatable today

Reconciliations, report generation, data entry between systems, rebate processing, invoice matching — the work that keeps your best people from doing their actual jobs. It doesn't show up on a strategy deck, but it shows up on every P&L. We find it, and we build the agent that does it.

How it works

One hour of observation. One working product.

No six-month discovery phase. No hourly billing. We watch the work, then we build the thing that does the work.

STEP 01

Observe

We sit with one team — finance, ops, customer service — and watch a real workflow happen, start to finish.

⏱ 1 hour on-site or remote
STEP 02

Map

We document every step, system touch, and decision point, and quantify the hours and dollars it consumes.

⏱ 2–3 days
STEP 03

Build

We design and build a custom agentic workflow on top of your existing systems — connected through a tailored MCP integration library, white-glove to your stack.

⏱ 2–6 weeks
STEP 04

Run

The product goes live and we keep it running — monitoring, tuning, and extending it as your processes evolve.

⏱ ongoing service
Proof, not promises

Watch the agents work.

Live proofs of concept built from real back-office workflows. Pick one.

POS
Pull nightly tip reportstep 1 of 5
Match against scheduled shiftsstep 2 of 5
Δ
Flag variances over thresholdstep 3 of 5
PAY
Post adjustments to payrollstep 4 of 5
Manager reviews exceptions onlystep 5 of 5

Restaurant tip reconciliation

Every night, managers reconcile POS tip data against payroll by hand. The agent pulls both systems, matches by shift, flags variances, and files the payroll adjustment — before the manager gets home.

45 min → 2 min
per night, per location
~275 hrs
saved per location / year
The model

You pay for the product. Not the hours.

Consulting firms bill you for time. We deliver a working asset you own — then keep it running.

Recurring · Run & service

The Run Fee

A monthly fee that keeps the product healthy — so it never becomes shelfware.

  • Monitoring, error handling, and uptime
  • Model and platform upgrades as they ship
  • Workflow tuning as your process changes
  • Priority queue for the next build

Why this works: your cost is anchored to the value of the automation — not to how long we take. If the workflow saves $400K a year in labor, the price of the build is obvious. Our incentive is to ship fast and keep it running.

// built on the frontier agentic platforms, connected through the Model Context Protocol

Anthropic ClaudeOpenAIMCP[ + your stack ]
Get started

Give us one hour with one team.

We'll watch the work, map the cost, and come back with a proof of concept that does it. If it doesn't earn the build, you've lost an hour.

Book an observation hour