I find the busywork quietly eating your team's week — retyping the same data into two systems, chasing paperwork, rebuilding the same report, answering the same emails — and build agentic AI systems that do it for you. I do security engineering for a major US bank; your business gets that same standard. And it starts by measuring where your hours actually go, not guessing.
NullDrift is an automation-engineering practice. I don't guess what to automate — I measure it, then build the agentic systems that take it off your team's plate, with bank-grade engineering.
A privacy-first audit agent runs for a week and returns a ranked Automation Opportunity Report — your real workflows, by recoverable hours. The method →
I build the agentic systems — pipelines, triage, document processing, integrations — that do the top workflows, with a human in the loop. What I build →
Security by default, documented, and handed over. You own what I build — no lock-in, no per-task toll forever. Why it's different →
Every week, hours vanish into copy-paste, re-keying between tools, chasing documents, building the same report, and triaging the same inbox. It's invisible on the P&L — until you add it up. Most "AI" pitched to small businesses is a no-code bot that breaks on the first real edge case. The messy, multi-step, judgment-heavy work needs an engineer, not a template.
A lightweight, privacy-first audit agent runs for a week on your team's machines and finds the repetitive workflows costing you the most — ranked by the hours each one eats. The audit is how I find the work; building the automation agents is the service.
A small helper app goes on each Mac or PC — and your team says yes first. Before it runs, everyone sees a plain-English list of exactly what it records and what it never touches. Removing it takes seconds. Nothing is ever installed behind anyone's back.
Which apps and tabs, how long, in what sequence, which files move where — with the actual window and tab names, so the report is decision-grade. Everything stays on your own computers. It never sees what anyone types, what's on their screen, or what's inside any file or message — the software is physically built so it can't, which is a stronger guarantee than a promise.
The week rolls up on-device into an Automation Opportunity Report: your real workflows, ranked by recoverable hours and dollars. What to automate first, with evidence.
That ranked list becomes the build plan: agentic systems that take the top workflows off your team's plate — the actual service, measured against your own baseline.
I build production agentic AI for a major US bank — where systems can't leak data, can't go rogue, and can't break silently. Most automation sold to small businesses is a no-code bot a marketer wired together. I bring the real thing: architecture that holds up, security that's designed in, and work you actually own.
See the security postureReal architecture — orchestrators, subagents, observability, error handling. It works on the messy edge cases, not just the demo.
Each automation can only touch the few things it actually needs, your data never leaves your systems, and when the AI hits something unusual it stops and asks a person instead of guessing. Your data stays yours.
Fixed-scope builds, documented and handed over. No lock-in to a platform you can't leave, no per-task toll forever.
I map your most repetitive workflows and put a number on the hours (and dollars) they're costing. Free.
I design the system — what the agents do, where they stop for a human, how your data stays secure. Fixed scope, fixed price.
I build it on your existing tools and run it in approval mode first, so nothing acts unreviewed until you trust it.
Documented and handed over, with the hours measured against your baseline. Optional retainer to extend and maintain.
The audit only works if your team can trust it, so it's built to earn that trust: it looks at the shape of the work — which apps, how long, what moves where — and all of it stays on your own computers. The only thing that ever comes to me is the final summary report, and only after you approve sending it. Names are replaced with codes, so the report shows workflows, not individuals. This finds work worth automating — it is not employee monitoring, and keeping that line bright is literally my day job in bank security. Want it even stricter? Flip one setting and the audit keeps only categories like "spreadsheet" or "email" — no window names at all.
· App + the real window/tab title + activity category
· Active duration & idle time
· Process name + start/stop (never arguments)
· File action + name + type + size bucket + location category
· In-browser SaaS category + the real tab title
· Keystrokes, screenshots, clipboard
· File or message content
· Passwords, secrets, tokens
· Full URLs (query strings) or hostnames
· Full file paths
· Command-line arguments · real names (replaced with codes)
Ranked by recoverable hours — what to automate first.
Pick any repetitive task your team does. Move the sliders — this is what it costs you a year, and what automating it gives back.
Any industry. If your team does something repetitive and data-heavy — clinics, professional services, e-commerce ops, logistics, field services, agencies — it's a candidate. The audit tells us if it's worth automating.
I'm an engineer who builds production agentic AI for a major US bank. Real systems handle the messy, multi-step, judgment-heavy work that breaks no-code tools — with security, error handling, and architecture designed in. Different category.
Yes — and not as an afterthought. I do security for a major US bank, and your build gets the same habits: the automation can only reach the few systems it needs, your data never leaves your business, and anything sensitive gets handed to a person instead of handled by guesswork. You also get the security setup explained in plain English, in writing.
Very little. Most builds run on the Claude API with the model tiered to each step and repeated context cached — typically single digits to low tens of dollars a month per automation. The audit report estimates the monthly run-cost for every opportunity it ranks, so you see ROI and operating cost before committing.
Fixed-scope per build, set after the audit so you know the price and the payback up front. Optional monthly retainer to extend and maintain. You own what I build — no per-task toll forever.
Tell me your most repetitive task. I'll map it, put a number on the hours and dollars it's costing, and tell you honestly whether it's worth automating. No obligation.
Tell me your most repetitive task. I'll put a number on the hours it's costing and whether it's worth automating.
No spam. No data requested here beyond the basics.