The Problem

Your team was hired for judgment. They spend the day on data entry.

The cost is not just hours. It is what those hours displace.

The hours

Every transaction, handled by hand.

Invoices matched one at a time. Records re-keyed from one platform into another. Status updates chased by email. The person doing this work knows a system should be doing it.

The accuracy

Data drifts between platforms.

Each system gets updated separately, so no one is sure which number is current. Accuracy depends on the last person who typed, and “did anyone update the tracker” becomes a standing question.

The errors

Mistakes surface late.

A mismatch entered in week one is found in month two, after it has spread to three other systems. By then the fix costs more than the original task ever did.

The Solution

A real example: vendor invoice processing.

An operations team was spending 12 hours a week manually matching invoices to purchase orders, entering data into their ERP, and following up on mismatches. Here is what we built.

Automation Pipeline
OperationsM365 + SharePoint + Power Automate12 hrs/wk → 45 min
01

Invoice arrives in a shared mailbox

The flow triggers the moment a PDF hits the inbox. No manual sorting, no folder moves, no “I’ll get to it”.

02

AI reads and extracts the data

Vendor name, invoice number, line items, totals, and due date are extracted and structured, even from inconsistent layouts.

03

Match against open POs in the ERP

Extracted data is compared to open purchase orders. Clean matches route automatically. Mismatches flag for human review with a diff already prepared.

04

Log, route, and notify

Every invoice, matched or flagged, is logged to a tracker, routed to the right approver, and generates an automatic status notification to the vendor.

Stack used

Power Automate, SharePoint, M365 mailbox, Azure Document Intelligence, and an ERP API connector. All tools the client already had.

Time to build

Seven weeks from discovery call to go-live. The first three invoices ran through the system before the formal handoff meeting.

What changed

A 12-hour weekly task became a 45-minute review of flagged exceptions. The team stopped doing data entry and started doing the work they were hired for.

From Clients

What teams say after go-live.

“This gave us time back immediately. It’s exciting to watch the business modernize in real time.”
Client, paraphrased
“We’re growing without exhausting the people we already have.”
Client, paraphrased
“It didn’t just streamline work. It freed our team to be more innovative.”

What changes when workflows run themselves.

Automation returns hours to the week by removing the work that should never have required a person.

Manual workflowsByers Automation
Repetitive tasks handled per transaction, by handTriggered, extracted, and logged automatically
Data accuracy only as good as the last person who entered itConsistent from the source document, every time
Staff time spent tracking, routing, and chasing updatesFreed for decisions and the work people were hired for
Errors caught late, or not at allFlagged the moment a mismatch occurs, with context prepared
Each platform updated one at a timeConnected once, kept in sync across all systems
Growing output means growing headcountBetter systems let the same team carry more
Start an automation buildSee the full scope

We build to your existing stack. No new platforms required.

Investment

Start small. Scope before you commit.

Hourly$150/hourFreelance · Billed weekly · Every invoice includes a summary of the work
Scoping$1,5001–2 weeks · Discovery + spec · Credited toward your build
Standard$8,000–$15,0006–8 weeks · 1–2 systems, single flow
Complex$18,000–$35,0008–12 weeks · Multi-system, AI extraction, cross-platform

Enterprise builds start at $40,000, scoped separately. Maintenance retainer available at $750–$1,500/month. Hourly covers calls, email, research, advice while you build it yourself, and hands-on build time, and it always starts with a free conversation.

Questions

What operations leaders ask first.

Do we need to buy new software?

No. We build to your existing stack: M365, SharePoint, Power Automate, Notion, Google Workspace, and the systems you already run. No new platforms required.

What kinds of work can be automated?

The repetitive middle of a workflow: intake, data extraction, matching against records, routing to the right approver, logging, reconciliation, and status notifications. AI-assisted extraction reads documents, invoices, and records as they arrive, even from inconsistent layouts.

What happens when something doesn't match?

Exceptions are flagged the moment a mismatch occurs, with context already prepared for human review. Clean matches route automatically. Your team reviews the exceptions instead of processing every transaction by hand.

How long does a build take?

Scoping runs 1 to 2 weeks. A standard single-flow build runs 6 to 8 weeks. Complex multi-system builds with AI extraction run 8 to 12 weeks.

What does it cost?

Scoping is $1,500, credited toward your build. Standard builds run $8,000 to $15,000. Complex multi-system builds run $18,000 to $35,000. Enterprise builds start at $40,000 and are scoped separately. A maintenance retainer is available at $750 to $1,500 per month.

Can we hire you by the hour instead of a full build?

Yes. Freelance work runs $150 per hour: advice while you build it yourself, research, calls, email, or hands-on build time. Hours are billed weekly, and every invoice includes a summary of the work it covers. It starts with a free conversation so we can scope what fits before you spend anything.

Does this actually save time?

One operations team was spending 12 hours a week manually matching invoices to purchase orders. After the build, that work became a 45-minute review of flagged exceptions. Same team, same stack, no new software.

Ready to modernize the work?

Start with a conversation.

Tell us what's manual, what's stuck, or what's scaling faster than your team can support. We'll reply within 2 business days.