AI automation agency
A typical AI automation agency
Account managers reselling a no-code subscription.
GRAIsol
One engineer who designs, builds, and ships the automation himself.
GRAIsol designs AI agent workflows that connect your tools, run unattended, and stop at approval gates — shipped into your stack, not sold as a retainer for someone else's software.
The honest comparison
Who does the work
An account manager relays your requests to a junior or an offshore team.
Griffin Long writes the code. You talk to the engineer shipping it.
What you actually buy
A markup on a no-code subscription you could have bought yourself.
A custom agent layer built directly against your tools and their APIs.
Time to something usable
A discovery phase, a deck, then a multi-month roadmap.
A working first pass in about a week, then we iterate on what is real.
When it breaks
A support ticket, and a wait for whoever maintains the template.
A readable trace of every action, approval gates, and clear recovery paths.
What you are locked into
Whatever the no-code platform happens to support — and a monthly retainer.
Code that runs in your stack. Project-based or monthly, your call.
What you get back
Hours back
The work that fills an operator or founder’s week — the copy-pasting, the chasing, the same five steps every morning — gets handed to an agent. People keep the judgment calls; the busywork stops being their job.
Unattended
Workflows fire on a schedule or a trigger and run end to end without a human babysitting them. Anything irreversible or customer-facing pauses at an approval gate, so nothing risky ships without a sign-off.
Auditable
Every action the agent takes is logged in a trace you can read. When something upstream changes, you see where and why — and you can roll it back instead of guessing.
Concrete examples
An agent pulls a list of accounts or people, enriches each one from the sources you already use, deduplicates, and drops a clean sheet in your inbox every morning — instead of someone living in ten browser tabs.
Incoming requests get read, categorized, drafted, and routed. The repetitive first pass is handled automatically; anything sensitive stops at an approval gate so a human signs off before it goes out.
The agent pulls from your CRM, billing, and analytics on a cadence, assembles the numbers you actually check, and posts the digest to Slack or email — no one rebuilding the same report by hand every week.
Your CRM, docs, billing, and Slack — connected by an agent that moves data between them on a schedule or a trigger, with a readable trace of every action it took and why.
Why trust the build
The automation I ship for clients runs on Agent AFK, the self-hosted agent runtime I wrote from scratch. It is the same harness I use for my own research, outbound, and operations — so the workflows you get are not a demo, they are infrastructure I depend on daily.
I've shipped custom integrations connecting agents to real tools — Cursor, E2B, ElevenLabs, Twilio, and Smartlead among them — and an open-source orchestration framework for Claude Code. No fake case studies here: just the work.
Questions
No — and that is the point. Most "AI automation agencies" are a layer of account managers reselling a no-code tool. GRAIsol is Griffin Long, a solo AI automation consultant and engineer who designs, builds, and ships the automation directly. You work with the person writing the code, not a project manager relaying messages.
A typical agency sells you a markup on someone else’s software and a multi-month roadmap. I build a custom agent layer against your tools, get a working first pass running in about a week, and ship code that lives in your stack — with approval gates and an audit trail. You are buying the build, not a retainer for a template.
Repetitive, rules-shaped operator work: research and lead enrichment, inbox and support triage, ops reporting, and moving data between the tools you already use. If a person on your team does it the same way every day against software with an API, it is usually a candidate for AI workflow automation.
No. No-code tools are great for simple A-to-B triggers. Agent workflows handle the messy middle — reading unstructured input, making judgment calls, calling several tools in sequence, and recovering when something is off. And because I build the agent layer directly, you are not boxed in by what a no-code platform happens to support.
Approval gates and audit trails. Anything irreversible or customer-facing pauses for a human to approve before it runs. Everything the agent does is logged in a readable trace, so you can see exactly what happened and why — and roll back if you need to.
Project-based for a defined build, or a monthly rate for ongoing automation and iteration. Once the scope is clear I give you a fixed quote. Book a call and we will find what fits.
Related services
Automation is one piece. If you need the agent built or your tools wired up — or your team rolled onto agents in a fixed sprint — these are the next step.
Get started
Bring the workflow that keeps stealing your time. If an agent can take it off your plate, I'll show you how — and if it can't, I'll tell you that too.