The process never got mapped.
The demo worked. The undocumented exceptions did not.
Start a conversationBook a callOperational strategy · AI · Automation
When your systems don't connect, people become the system.
Slate Ops maps how work actually moves, then uses automation, AI, and custom software to remove the coordination, assembly, and repetition that slow it down.
Book a 30-minute intro call Clarity first. Building second.
A connected operation
Requests
Context
Rules
One systemClear inputs.
Clear decisions.
Clear decisions.
Human decision
Where systems break down
Automation amplifies whatever is already there.
A system has to survive real handoffs, missing information, conflicting inputs, and the moments where judgment matters. That starts with mapping the operation.
Only the happy path got designed.
The real test begins when information is missing or two sources disagree.
Launch became the finish line.
Without ownership, a useful system slowly becomes another workaround.
We map before we build. If the answer is that you do not need us to build anything, that is a real outcome—and you will have it in writing.
Selected systems
AI and automation built around decisions, not demos.
Different operations, same standard: real inputs, explicit judgment, clear exceptions, and an output someone can act on.
Application and screening agent
Reads inbound opportunities against a defined rubric, scores them, and drafts tailored responses. It removes the assembly work without handing final judgment to the system.
Meta ads intelligence suite
Built for an ecommerce client to read performance data and the creatives themselves, flag fatigue, score new creative, and produce a weekly decision brief.
Automated financial review
Ingests bank and card statements monthly, categorizes and reconciles transactions, flags anomalies, and produces a written review. Human attention stays focused on the exceptions.
How we work
Diagnosis is part of the work.
Building comes after the problem is understood. Each stage produces something useful and makes the next decision smaller.
Intro call
We learn how the operation runs, where work gets stuck, and whether deeper mapping is likely to be worthwhile. You leave with an honest recommendation.
Strategy Engagement
You receive a current-state map, opportunity case, future-state architecture, and a phased implementation plan covering the agreed scope.
Implementation
We build and test in practical phases, document how the system works, and train the people who will use or own it.
Operate and improve
We can monitor performance, handle failures, update the logic, and expand the system. Ongoing support is available, never required for handoff.
What the Strategy Engagement leaves on your desk
- Current-state map
- Opportunity case
- Future-state architecture
- Phased implementation plan
What gets built
Concrete systems for the way work actually moves.
The form follows the problem. We use existing tools where they hold up and build custom software where they do not.
The company brain
A shared operational source of truth: one place the information people, automations, and AI rely on actually lives, with enough structure for all three to use it.
Decision systems
Systems that watch what changed, evaluate it against your criteria, and surface what needs a human decision. The judgment stays yours; the assembly does not.
Workflow systems
The complete path work travels—from intake through handoff and closeout—with exceptions designed in and human review where being wrong is costly.
Operational skills and AI agents
We turn repeatable judgment into reusable skills and purpose-built agents, with a human owner and clear escalation paths.
Custom applications
When the thing you need does not exist and connecting current tools would be too fragile, we build the software the operation requires.
Built with Claude, ChatGPT, n8n, custom code, and additional tools—chosen per problem rather than per preference.
Who this is for
The person everything routes through.
Companies where the work is coordination-heavy and the systems have not kept up.
Industry matters less than the operating pattern. Scattered information, recurring work, and decisions waiting on assembly look familiar across manufacturing, services, and ecommerce.
Headcount is not the main filter. What matters is whether recurring coordination and disconnected systems are costing enough to justify fixing them.
Messy is a normal starting point. If the process lives in someone's head, getting it out and into a system is part of the work.
What it is like to work with us
“Daniel has been a reliable creative and digital partner for Alpha 101 Tools. He understands what we're trying to accomplish, works with very little oversight, and consistently turns rough direction into polished work we're happy to use.”
“Daniel is one of those rare freelancers who exactly understands what you want him to deliver. There was very minimal back and forth and each time he delivered beyond what we expected.”
SO
Who is behind it
An independent systems practice led by Daniel Rytel.
Daniel is an industrial and operations engineer focused on how work moves, where it gets stuck, and how better systems remove the friction. His background spans automotive product development, shadowing teams across construction and service businesses, and building and selling a physical product direct to consumers.
Different industries, same recurring problem: the information needed to make a decision was already there, but assembling it took longer than the decision was worth.
Start with a conversation
Tell us what you're working through.
A specific frustration or a vague sense that too much is manual is enough. We will tell you honestly whether deeper mapping is likely to be worthwhile.
Prefer email? hello@slateops.ai