Canonical: [https://chrysisnetworks.com/services/ai-enablement]() [Automation \& Integrations]()·[Practical AI]()·[Infrastructure \& Hosting]()·[Websites]() For the inbox and paperwork your team can't keep up with # Enquiries left waiting, invoices typed by hand. AI automation that clears the pile, on a short leash. An enquiry that sits in a shared inbox for two days often goes to whoever answered first, and every invoice typed by hand is a typo or a late payment waiting to happen. Send us one job your team reads or types by hand every week, like the shared inbox or supplier invoices that arrive as PDFs. Within one business day you'll get a written reply saying whether an agent fits and what a fixed-price scope would cover. It's free, with no call unless you want one. The agent itself works as a second set of eyes inside your own accounts, and nothing reaches a customer until a person approves it. [Tell us the job to hand off]() [Not sure yet? Just check the fit.]() ![A gold beam split by a prism, passing through a brass frame]() ## Where the backlog starts, and what an AI agent takes off your plate AI can turn into a solution looking for a problem. We work from the other end: a job your team already does every week. Pick one to start. **Email and enquiry triage.** The shared inbox gets read and routed: new enquiries to whoever quotes, order changes to the office. Anything unclear waits in a review queue. **Document intake.** Say 60 supplier invoices a week arrive as PDFs, no two laid out alike. The agent pulls out totals and due dates and files each one. Unsure fields go to a person. **Automated invoicing.** Extra work your client signed for that never makes it onto an invoice. Photos of signed paper tickets get read into draft invoice lines. Anything unclear waits for a person, and nothing bills until someone on your team approves it. **Drafting replies.** The same questions come in every week. What does it cost? Can you come out Tuesday? The agent drafts answers from your price list and past replies. Your people hit send. **Data entry.** Order details from emails and web forms get keyed into your CRM or accounting software. Nobody retypes them. ## Reviewed AI inside Microsoft 365 If your practice runs on Microsoft 365, the job can stay there. Engagement letters, invoices or client documents that land in a shared Outlook mailbox or a SharePoint library get read first, the fields go to a SharePoint list or your practice system, and anything the model isn't sure about waits in a review queue your people clear, in Teams if that's where they work. Nothing that needs a tax, legal or engineering judgment gets decided by the model. It drafts and sorts, and a person decides. We use Copilot or AI Builder only where your licenses already cover them and they suit the job. It's the same fixed-price Reviewed AI job. ## Three quick answers. We'll say if it fits. Not sure an agent belongs in the work yet? Tell us three things and we'll reply in writing within one business day, saying plainly whether it fits. ## How it works The agent does the reading and the typing. Your people keep the decisions. **You still approve anything important.** Customer replies wait for someone on your side to sign off. So does anything that moves money or changes access. **Unsure goes to a person.** When the agent isn't confident, it says so. Those items wait in a review queue, so your team works the exceptions instead of the whole pile. **Tested before it goes live.** You set the accuracy bar for each field before we build. Then we test on real examples it hasn't seen and show you every miss. **Built on tools you keep.** We build on n8n or Make, or in software you already pay for when that's enough. It runs in your accounts. You own it. ### We run AI agents in our own business Our agents research and draft, and nothing leaves until a person approves it. Under any agent sits [plain automation](), and we've built that before: a user access review that checks Active Directory changes against Jira tickets, and monthly VM restore tests run through the Cohesity API. ## What it costs **Reviewed AI is $4,500, fixed, for one AI workflow built in your accounts.** AI model usage fees and software subscriptions are separate. Expect about 15 business days once data access and security sign-off are done. Later changes and out-of-scope work are $80-$100 an hour. Misses the accuracy bar in the acceptance test we agree in writing? One free in-scope fix, up to 3 hours, then a retest. If it misses again, you choose 10% of the fee back as a partial refund or credit, up to $450. When it's unclear a model belongs in the work at all, the reply may suggest a $350 discovery first, credited to the build if you go ahead. [Describe the handoff]() ## What we build Open any one to see where it slips and what we'd build to catch it. ### Automated invoicing Extra work your client signed for that never makes it onto an invoice. Practical AI, human-reviewed #### What slips A signed T\&M ticket sits in a truck or an inbox, and nobody asks for the fee. Example arithmetic: one $4,000 change order written off a month is $48,000 a year. #### What we build Your field or project software connected to QuickBooks: a signed ticket or change order becomes a draft invoice line, and photos of paper tickets get read instead of retyped. A named person approves every line before it bills. #### What you get back You bill for the work you did, without a month-end hunt through trucks and inboxes. Fixed price, quoted once we've seen the handoff. ## Questions about AI automation ### How much does it cost to have AI read invoices or client documents for a 25-person accounting firm? Reviewed AI from Chrysis Networks is $4,500 fixed for one document or email workflow, plus AI model usage and software fees, delivered in about 15 business days once data access and security sign-off are done. When it's unclear whether a model belongs in the work at all, a $350 paid discovery answers that first and counts toward the build if you go ahead. ### Will an AI agent reply to clients or approve payments without a person checking first? In a Chrysis Reviewed AI workflow, a person on your side approves every customer reply and anything that moves money or changes access, while low-stakes steps like tagging and filing can run on their own. Items the model is unsure about wait in a review queue for your team, and no tax, legal or engineering judgment is left to the model. Chrysis runs its own AI agents the same way: they research and draft, and nothing leaves until a person approves it. ### How accurate is AI document extraction, and what happens when it gets a field wrong? No AI model gets every field right, so Chrysis has you set the accuracy bar for each field before the build, then tests the workflow on real documents it hasn't seen and shows you every miss. A workflow that misses the agreed bar gets one free in-scope fix of up to 3 hours and a retest, and a second miss lets you choose 10% of the fee back as a partial refund or credit, up to $450. ### Can a 40-person law firm run AI document review inside its existing Microsoft 365? Reviewed AI can run inside a practice's existing Microsoft 365, reading documents from a shared Outlook mailbox or SharePoint library and writing the fields to a SharePoint list or your practice system, with uncertain items waiting in a review queue your people clear in Teams. Chrysis uses Copilot or AI Builder only where your licenses already cover them and they suit the job, and the model drafts and sorts while your people make every legal call. ### When is AI the wrong tool for a small firm's paperwork? AI earns its place on paperwork that arrives in the same shape every week and is cheap for a person to check, such as vendor invoices or engagement letters, with one named person owning the process. When the data is already structured, plain automation usually does the job for less, and Chrysis will say so in its first written reply. Work that calls for professional judgment stays with your people either way. ### What happens to our documents if we switch the AI workflow off? With a Reviewed AI workflow switched off, documents keep landing in the same mailbox or SharePoint library as today, and your team goes back to working them by hand. Chrysis builds the workflow to delete nothing, and you can disable it yourself in your own account. ### Can a contractor use AI to turn signed paper tickets into draft invoices, with a person reviewing them? Yes: a Reviewed AI workflow from Chrysis reads photos of signed paper tickets into draft invoice lines in the contractor's field or accounting software, and nothing bills until a named person in the office approves each line. Tickets the model can't read cleanly, like a smudged quantity, wait in a review queue rather than being guessed, and the workflow is tested on real tickets it hasn't seen against an accuracy bar you set before the build. Reviewed AI is $4,500 fixed for one workflow, plus AI model and software fees. ### How can a bookkeeping firm stop retyping supplier invoices from PDFs, and who checks the result? A bookkeeping firm stops retyping supplier PDFs by having AI pull the vendor, invoice date, total and due date from each invoice once, with every field the model isn't sure of sent to a person at the firm before anything is posted or paid. Chrysis builds this as a Reviewed AI workflow, $4,500 fixed plus model and software fees, reading from the mailbox or document library where the invoices already land, and tests it on real invoices against an accuracy bar the firm sets for each field. Posting and payment approval stay with the firm's staff. ## Start with the pile that's costing you most Reviewed AI is the usual way in: one document or email workflow with a person checking anything uncertain, for $4,500 fixed and about 15 business days once data and security sign-off is done. A failed acceptance test gets one free fix of up to 3 hours and a retest, then up to $450 back as a refund or credit. Not sure a model belongs in the work at all? A $350 paid discovery answers that first, and the $350 counts toward the build if you go ahead. Send us the one job you'd hand off first and roughly how often it comes up. You'll have a written reply within one business day, saying straight whether an agent fits. Built and run here first Under every agent sits plain automation, and that's what our founder builds: onboarding and offboarding flows on n8n and Make, on an n8n server we run ourselves. We also shipped [Compass](), an app we built and still run, plus [restore-validation tooling](). [See how we run our own AI agents]() Microsoft Partner · Pax8 Partner · VMware VCP-DCV and VCTA [info@chrysisnetworks.com]() ## Related reading - [Microsoft 365 Workflows for CPA, Law and Engineering Firms]() - [Custom Software and Automation for Contractors, Law \& CPA Firms]() - [Accounting and tax offices]() - [Specialty and trade contractors]() - [The fine print on IT and AI changes]() - [GPT-Live Native Decisions: What Your App Must Still Control]() --- An engineering-led technology partner for small businesses that need custom software, integration, automation, practical AI and infrastructure, delivered as clearly scoped projects without enterprise consulting overhead. Based in Marietta, Georgia. Remote across the US. Resilience through precision. Microsoft Partner · Pax8 Partner [LinkedIn]() [Clutch]() [Crunchbase]() ### Contact - [(770) 649-3525]() - [info@chrysisnetworks.com]() - Marietta, GA 30008 © 2026 Chrysis Networks LLC. All rights reserved. Resilience through precision.