DEPLOYED LOGIC
AI integration · Solution architecture

AI you can actually act on — for operations where wrong outputs cost money.

I integrate AI into ERP, reconciliation, and document workflows — traceable, reviewable, human-in-the-loop. Systems that run day-to-day without breaking.

Book a free 15-min systems auditFree · no deck · just your systems
FIG.01 — HUMAN-IN-THE-LOOP PIPELINEERPINVOICES / PDFsSPREADSHEETSSYSTEMS THAT DON'T TALKAI EXTRACT+ MATCHHUMANREVIEWCLEAN LEDGEREVERY ROW TRACEABLEEXCEPTIONS: 3AUDIT TRAIL — 100% LOGGEDRUN 0142 · 1,847 RECORDS · 3 FLAGGED FOR REVIEW · 0 SILENT FAILURES
10+ yrs
staff-level engineering
AWS
native stack
HITL
human-in-the-loop by design
Audit-ready
every output traceable
10+ years shipping at
MAXARCHARTER
Mission-critical data & integration work at scale — past employers, where the discipline comes from.
What I fix

Your operation runs on an ERP, a dozen spreadsheets, and tools that don't talk. I make them talk — and put AI on top that you can trust.

01
Make money
Catch billing leakage and pricing drift before it compounds.
02
Save money
Kill manual data entry and the errors that ride along with it.
03
Free your time
Systems that run themselves day-to-day — you review exceptions, not everything.
Services

Pick the system that fits.

Productized builds — fixed scope, fixed price, known timeline.

S1
Document → structured data
Invoices, contracts, and POs become clean records — plus an exception report for anything the system isn't sure about.
For teams keying documents into an ERP by hand.
S2
Billing & invoice reconciliation
A weekly report that compares what you agreed to against what you were billed — catching pricing drift and missed charges.
For operations leaking revenue one line item at a time.
S3
ERP / tool glue integration
Connect the systems that don't talk — ERP, spreadsheets, vendor portals — with a visibility dashboard on top.
For businesses run on exports and re-typing.
S4
Lead & intake automation
Qualified, structured records land in your CRM automatically — built no-code (Make.com, n8n) when that's the faster answer.
For teams losing leads to manual intake.
S5
Human-in-the-loop AI pipeline
AI proposes, a person approves, and every decision lands in an audit trail. Trustworthy automation for consequential work.
For workflows where a wrong output costs real money.
Not sure which you need?
That's exactly what the audit call is for.
How it works

One process. Four steps. No hourly.

01
Audit
A free 15 minutes. We map your process and find the highest-friction, revenue-touching step worth automating first.
02
Proposal
Clear scope, timeline, and a fixed price. No hourly billing, no scope creep, no surprises.
03
Build
I build, test, and deploy. You get progress updates and a working system — not a slide deck.
04
Ongoing
Optional monthly monitoring and optimization retainer. The returns compound as the system learns your edge cases.
Why Deployed Logic
Wrong outputs cost money — I design for that.
Every system I ship is traceable, reviewable, and human-in-the-loop. You can always answer “why did it do that?”
Fixed price, no surprises.
Scope, timeline, and price agreed up front. You know exactly what you're buying before anything is built.
I use these systems myself.
Deployed Logic runs on the same reconciliation and document automation I build for clients. I eat the dog food daily.
Staff-level, full stack.
AWS, TypeScript/Node, Python, Go, C#/.NET — plus the AI layer, plus no-code (Make.com, n8n) when it's genuinely faster.
Case study — representative build
Before → After
Before
Hours each week manually cross-checking billed line items against signed terms — and still missing drift.
After
A weekly exception report. Minutes to review. Nothing slips silently.

Invoice reconciliation agent

The pain
Silent revenue leakage — vendor pricing drifts from signed terms, and no one has time to check every line.
What gets built
An agent that reads signed terms and billed invoices, matches them line by line, and emails a weekly exception report — every flag traceable back to the source document.
The result
Discrepancies surface the week they happen instead of at year-end — reviewed and resolved by a person, with an audit trail behind every decision.

Detailed client case studies published as engagements complete.

Zac Collins
About

Zac Collins

Staff-level engineer, 10+ years. At Maxar and Charter I shipped mission-critical data and integration work — leading migrations off Salesforce onto AWS and building TMS/WMS integrations that businesses ran on daily. Now I build trustworthy AI for operations-heavy businesses through Deployed Logic: the same engineering discipline, pointed at the workflows that quietly cost you money.

Next step

Ready to put AI on top of your operations — safely?

Book a free 15-min systems audit

Projects typically start around $2.5K; most range $5K–$15K, plus optional monthly monitoring.

Prefer email? zacharyjacobcollins@gmail.com