Cut the ops bloat
Pull junior hours off repetitive research, reporting, and CRM work, and win back the delivery margin you're losing to over-servicing.
AI ops for B2B marketing agencies
Lift your delivery margin without another hire.
I install AI into your agency's operations, the research, reporting, CRM, and content ops your team does by hand, so the repetitive work runs without anyone babysitting it and your senior people's hours go back to billable client work. Then I run the system for you.
Raine, the engineer who builds and runs it, not an account manager
What I'd install in your agency, I already run in mine.
- Built and run by the engineer. You work with the person who designs, builds, and operates it, not an account manager.
- Dog-fooded every day. The exact stack I'd install, I run inside my own studio right now.
- I ship my own product solo. Powr, built and marketed end to end with AI as the production line.
At $50K to $500K a month, your constraint is delivery. Every new client means more headcount, more over-servicing, more scope creep, and a thinner delivery margin. The repetitive work that scales your costs is exactly the work AI should be running.
The gap I close
Why it pays off
One system, three ways it pays off
The same automations that delete the slog open three doors into the same machine. I lead with whichever one you feel most.
Grow without hiring
Take on more client volume without doubling headcount, or hold your current client load at a higher delivery margin.
Resell it to your clients
Productize the client-facing automations and sell them to your own clients as a paid add-on. The system stops being a cost and becomes a line on your P&L.
And the payoff that compounds above all three: an agency with AI built into delivery is more sellable, it's worth more at exit. You end up owning an asset that runs without you, not a job.
What I install
Not consulting. A working system, transplanted.
I already run an AI ops stack inside my own studio. I transplant the relevant pieces straight into your operations, a closed loop you install, not a pile of disconnected Zaps.
- 01 Onboarding & research
- 02 Copy & creative
- 03 Reporting
- 04 Lead routing
- 05 SOPs & hiring
- Loops back to research
Research informs the copy, the copy informs the creative, results inform the reporting, and the reporting drives the next round of research. That closed loop is what separates this from the chatbot crowd.
Automated client onboarding
New-client intake that kicks off market and competitor research and a first deliverable outline before the kickoff call. The hours of manual setup every new client used to cost you collapse to minutes.
Copy & creative pipelines
Pipelines trained on your agency's voice and each client's market, so the first draft is contextually informed, not generic filler your team rewrites from scratch.
White-label client reporting
Reporting that scans results weekly, flags the metrics that need attention, and recommends which levers to pull. Strategic insight without an analyst on the clock.
Lead routing & follow-up
Sequences that qualify, follow up, and book meetings off your clients' inbound, wired into their CRMs so pipeline doesn't leak.
Internal SOP & hiring automation
Generated scorecards, interview frameworks, and onboarding docs so new hires ramp in days, and the SOPs keep themselves current.
Proof
I don't theorize this. I run it.
The systems I'd build for you, I run on my own studio right now. That's the difference between me and an AI agency reselling chatbots off a course.
- Prospect research and a CRM that's the single source of truth for every lead
- A content pipeline that drafts, gates, and ships from one source
- Autoresearch CRO loops that test and tune landing pages on their own
- Cron-scheduled agents and alerts running unattended
- Continuous deployment, push to live in seconds, validated
- Secrets-managed ops on an isolated runner, the same way I'd run yours
My own product
Powr
I design, build, and market my own training app solo, with AI as the production line, the landing page, the app, and the campaigns. Proof I can run the whole machine, because I run mine every day.
Visit the live siteHow to start
Start with the audit. Scale into the system.
One paid first step that pays for itself, then a build and a managed engine priced to what they save you, never to my hours.
AI Ops Audit
$2,500
A 90-minute deep dive into your workflows, tech stack, and team. I map every process and rank your top 5 automation opportunities by ROI.
- A written AI Ops Roadmap
- Cost of status quo vs. AI-integrated ops
- Projected time and cost saved, per opportunity
- The blueprint for your build
If the roadmap doesn't find at least $5,000/mo in saveable ops cost, it's free.
Book a diagnostic callAI Automation Build
Quoted from your roadmap
I build the prioritized automations from the audit and install them into your operations.
- Pipelines, CRM automation, CRO loops, agent harnesses
- Full documentation and SOPs per automation
- A 2-hour team onboarding session
- 30 days of post-launch monitoring and tuning
Priced to what it saves you, not to my hours.
Book a diagnostic callManaged AI Ops
Monthly managed
Your fractional AI ops department. I keep the system running, improving, and growing with you.
- Ongoing optimization of every automation
- New builds as your needs change
- Business-hours SLA, fail-safe monitoring
- Monthly report on exactly what was saved
2× your fee in savings each month, or that month's on me.
Book a diagnostic callThe diagnostic call is free. The audit is the first paid step, and it pays for itself, because I'm finding money you're already losing. Build and retainer pricing comes from your roadmap, anchored to what the automations save.
The risk is on me
The first call
Leave with at least 3 actionable AI-ops moves, even if we never work together, or the audit fee is on me.
The audit
If the roadmap doesn't surface at least $5,000/mo in saveable ops cost, you get a full refund.
The retainer
Any month the managed automations don't save you at least 2× what you pay me, that month is on me. Cancel anytime after 90 days.
How it works
Four steps, diagnostic to running
No long discovery decks, no jargon. Here's the whole thing.
1
Diagnostic call
A free call. You walk me through your ops; I show you where AI goes and what it would save. You leave with 3 moves or the audit is on me.
2
AI Ops Audit
The paid deep dive. A written roadmap ranking your top 5 automations by ROI, with the real cost of doing nothing spelled out next to each one.
3
I build
I install the prioritized automations into your operations, documented, with 30 days of post-launch monitoring so they land cleanly and your team adopts them.
4
I run it
I operate and optimize the system, build new automations as you grow, and report what it saved, every month. You stay on client work.
Who you're working with
A senior engineer, not an AI reseller
I'm Raine, a software engineer in LA. I build AI systems for a living, ship my own product solo with AI as the production line, and run a full AI ops stack inside my own studio. I'm not reselling someone else's course.
You work with the person who designs, builds, and runs the system, so nothing gets lost in a handoff. I sell the outcome, more delivery margin and more capacity, not a pile of infrastructure you have to babysit.
— Raine
No lock-in, by design
Documentation and an export of your system on demand. You can take it in-house or hand it to anyone, anytime. The retainer is "I maintain and improve it," never a hostage situation.
Least-privilege access
I pull only what each workflow needs, read-only where possible, through scoped and revocable credentials, official APIs and OAuth, not shared passwords. Secrets stay managed on an isolated runner.
Honest reliability
A defined business-hours response SLA, automations that fail loud and fail safe instead of corrupting data silently, and a human in the loop on high-stakes steps. No uptime theater.
Honest answers
The questions you're already asking
You buy the way you sell, so you're skeptical by default. Good. Here are the straight answers.
An agency our size could build this ourselves.
You could. But your people are billable on client work, not on internal ops tooling, and there's a real gap between "we use HubSpot and Slack" and "we run a closed-loop AI ops stack that actually holds up." I've already built and run that gap. You're buying the time I've spent wiring it together, not the software.
Can't AI do most of this for free now?
The tools are cheap or free, the same way a CMS is free. What costs you is the time and skill to wire them into a system that runs unattended and doesn't break. You're paying for ops that work on day one and for the billable hours your senior people get back, not for the software.
I've been burned by vendors before. How do I know this works?
Fair, and it's why I lead with proof you can check: I run this same stack inside my own studio every day, and the first paid step is risk-reversed. If the audit doesn't surface at least $5,000/mo in saveable ops cost, it's free. There's no lock-in either, you get documentation and a full export of your system on demand.
It's not the time. I'm protecting margin right now.
Protecting margin is the reason to do this, not to put it off. The work is priced against what it saves you, not against my hours, and the managed retainer pays for itself 2× each month or that month is on me. It's recovered delivery margin, not a new line item.
How do I know it fits an agency like mine, not just in theory?
The audit maps your workflows, your stack, and your team before anything gets built, so the roadmap is specific to your operation, not a template. And the system I'd install is the one I already operate inside my own agency, so you're not the experiment.
I don't have the bandwidth to implement another thing.
You're not implementing it, I am, and then I run it. The whole point is to take work off your team's plate so they stay on client work. If it added to your workload, I'd be doing it wrong.
What if I just want the thinking, not a build?
Then the diagnostic call alone is worth your time. It's free, and you leave with three AI-ops moves you can run yourself whether or not we work together. If you want the full picture mapped, that's the paid audit, and you own the roadmap either way.
Let's find the delivery margin you're leaving on the table.
A free diagnostic call. Walk me through your ops, leave with three moves you can make whether or not we work together.