Do nothing
The retyping and chasing keeps landing on your team.
- Who does the work Your team, by hand
- What it costs Payroll, leaking quietly
- First deliverable Nothing changes
- Timeline The gap widens every quarter
- Who owns the result Nothing to own
Take on more work with the team you already have. AI operations systems handle the reading, retyping, routing, chasing, and reconciling between the real work, inside the tools your team already uses. Built for staffing firms, industrial & field services, logistics, and regulated operators, with your people approving every decision that matters.
The audit is honest triage: if a tool you can already buy solves your problem, I'll tell you which one and step out of the way.
Coordination work consumes real payroll without appearing as its own line item. The pilot measures yours before any result is claimed. If any of this happens every week, bring one workflow to a 30-minute workflow diagnostic.
Want it traced through one company, start to finish? Read the work behind the work in a regional staffing company.
Operators in your industry are already piloting AI. The ones who get it working will quote faster, invoice cleaner, and take on more work without adding headcount. The ones who wait will compete against that. So the real question is not whether your business will use AI. It is who sets it up, and how well. You have three options.
The retyping and chasing keeps landing on your team.
Partners sell it. Then you meet the delivery team.
The person who builds the system, start to finish.
You don't have to take the third option on faith. It starts with a free 30-minute workflow diagnostic, and the answer you get there is honest, even when the answer is "don't hire me."
One automated step doesn't fix a broken workflow. The useful system reads what arrives, checks it against the rules, updates the right record, and puts exceptions in front of the right person inside the tool they already use. Here's that pattern running in two businesses where the work between the work never stops.
From onboarding packet to a cleared-to-start checklist.
The system reads every worker's packet, from TWIC cards and OSHA certs to I-9s and drug screens, checks it against the client's actual requirements, and flags who's cleared, who's missing something, and who's at risk before start day. The chase email is drafted; a person approves it before anything sends.
The workflowFrom field ticket to a clean invoice draft.
Handwritten tickets get read as they arrive, checked line by line against the contract's actual rates, and turned into invoice-ready lines. Rate mismatches are flagged with the math shown; your biller decides before anything goes out.
The workflowTwo more places where the same operating pattern applies: the documents change, the operating loop doesn't.
Shipment documents, claims, PODs, and invoice reconciliation handled as they arrive. Exceptions get routed to a person; everything else just gets done.
Compliance-heavy document work: intake, review packets, audit trails. The approach comes from building in a federal environment where traceability and review are non-negotiable.
Routine work runs quietly and lands in the software your team already uses. Only approvals and exceptions interrupt a person.
You start free, and every step after that is scoped and priced before you say yes to it. No retainers, no hourly billing, no open-ended contracts.
Thirty minutes with whoever owns operations. We go through the software you already pay for, then the one workflow that eats your team's week. You leave knowing which tools to keep, which to fix or connect, which to stop paying for, and whether AI can take that workflow over, whether a tool you can already buy solves it, or whether it isn't worth automating. No slides, no obligation.
The price is agreed before we start. You own the client-specific system, results, and documentation; production hosting is your choice, not a lock-in tactic.
Every repetitive task gets scored on how often it happens, how predictable it is, and how many hours it eats. The highest score wins the pilot. That's the system we build first.
Shadow the workflow and pull the real numbers: volume, hours, delays, exceptions. Score every candidate; pick the winner.
What people actually do, not what the SOP says. Exceptions, approvals, and system access mapped.
The winning workflow in your existing tools, running shadow-mode on real documents alongside your team.
Accuracy, hours returned, and cycle time against the Week 1 baseline. Harden what's proven.
Team training, full documentation, and a priced expansion plan built from measured results.
Air Force veteran, based in Lafayette. By day I'm a software engineer on a U.S. Department of Labor federal contract; I've shipped eight production systems, including a federal document parser, and won first place ($10K) at the Convex Modern Stack Hackathon.
When you work with Varholdt AI, I'm the person on every call and the person doing the work. No account managers, no handoffs. After payment, you own the client-specific system, results, and documentation. I keep only my reusable methods and general-purpose components, and production hosting remains your choice.
"A tool you can already buy might solve this, and if it does, I'll tell you so." That sentence is the whole business model. I only win if the advice is worth repeating to the next operator who calls.
AI should earn access to real work. Here is how the first call, pilot, review process, and handoff are designed to keep the scope clear and your team in control.
Two parts. First we go quickly through the software you already pay for: who uses each piece, and whether it's doing the job. Then we take one workflow that is repetitive, document-heavy, or constantly stuck in somebody's inbox and map how it works today, where the time goes, and which exceptions matter. You leave with a verdict on both: which tools to keep, fix, connect, or stop paying for, and whether AI is actually the right fix for that workflow, even when the recommendation is to use an existing product or leave the process alone.
The people who run the workflow help me understand the real process, provide representative examples, and review early outputs. I do the architecture, build, testing, and documentation. Before a pilot starts, we agree on exactly who needs to be involved and when so the project does not become another job for your team.
We score candidate workflows on volume, repeatability, business value, and the cost of getting an answer wrong. The best first pilot is narrow enough to prove in 4–6 weeks, painful enough to matter, and safe enough to run in shadow mode while your team stays in control.
Usually, no. The goal is to connect the inboxes, documents, spreadsheets, and business systems you already use. If your current tools cannot support the workflow safely, I will explain the tradeoff before recommending any change.
Usually, no. Routine work runs in the background and the result lands in the system your team already uses. Approvals and exceptions reach the responsible person there. A small operations console is added only when a workflow genuinely needs cross-system queue management, audit search, health, or administrative controls, and then it is for the people who own the workflow, not every employee.
The new system runs beside your current process without becoming the source of truth. It reads the same work and prepares the same output, but your team reviews every result. We compare accuracy, cycle time, and exceptions against the old process before anything is allowed to depend on it.
Access is limited to what the workflow needs, permissions are agreed before real documents are used, and important actions are logged for review. The shadow-mode pilot runs in an isolated Varholdt-managed environment; before production, you choose client-controlled infrastructure or separately quoted managed operations. Your domain, business systems, identities, and operational data stay under your control either way.
The workflow diagnostic is free. If there is a viable pilot, you receive one fixed scope and one fixed price before any paid work begins. There is no hourly billing, open-ended implementation, or automatic retainer.
After payment, you own the client-specific source code, workflow configuration, results, and documentation. If the numbers justify production, you can run it in accounts you control or ask me to operate it under a separate month-to-month agreement with usage caps and transition terms. Expansion is quoted separately. If the numbers do not support moving forward, we stop with a documented answer.
In 30 minutes you'll know which of the software you already pay for is worth keeping, where your team's hours are going, and whether AI can take that workflow over, whether a tool you can already buy solves it, or whether it's not worth automating.