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.

Leave with a roadmap and 3 AI-ops moves, or the teardown's on me Built on a stack I run every day

Raine, the engineer who builds and runs it, not an account manager

What I'd install in your agency, I'll show you running live.

  • Built and run by the engineer. You work with the person who designs, builds, and operates it, not an account manager.
  • See it before you buy. On our call I put the actual system on screen and walk you through it running live, so you're not taking my word for it.
  • 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.

Cost

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.

Capacity

Grow without hiring

Take on more client volume without doubling headcount, or hold your current client load at a higher delivery margin.

New profit line

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.

It's a working AI ops stack you can watch running live on our call. I transplant the relevant pieces straight into your operations, a closed loop you install, not a pile of disconnected Zaps.

  1. 01 Onboarding & research
  2. 02 Copy & creative
  3. 03 Reporting
  4. 04 Lead routing
  5. 05 SOPs & hiring
  6. 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.

01

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.

02

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.

03

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.

04

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.

05

Internal SOP & hiring automation

Generated scorecards, interview frameworks, and onboarding docs so new hires ramp in days, and the SOPs keep themselves current.

Proof

Don't take my word for it. Watch it run.

The systems I'd build for you are running live right now, and on our call I'll put them on screen so you can watch them work, not just take my word for it. 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 site

How to start

Start with the teardown. 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.

Start here

Margin Teardown

$1,500

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 your Margin Teardown
Next

AI Automation Build

Quoted from your roadmap

I build the prioritized automations from the teardown 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 your Margin Teardown
Ongoing

Managed 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 your Margin Teardown

The teardown is the first paid step, and it's risk-free: if it doesn't find at least $5,000/mo in saveable ops cost, it's free. Either way it pays for itself, because I'm surfacing 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 teardown

Leave with at least 3 actionable AI-ops moves, even if we never work together, or the teardown fee is on me.

The roadmap

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

Three steps, teardown to running

No long discovery decks, no jargon. Here's the whole thing.

1

Margin Teardown

The paid deep dive, and the first step. You walk me through your ops; I map every process and hand you a written roadmap ranking your top 5 automations by ROI, with the real cost of doing nothing next to each. Leave with 3 moves or it's on me.

2

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.

3

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 the proof is watchable: the system I'd install runs on the same stack I operate every day, and the teardown maps your workflows before anything gets built. The first paid step is risk-reversed too, if the teardown 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 teardown 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 a working one you can watch running live before we start, 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 teardown alone is worth your time. It's the paid diagnostic, and you leave with the full roadmap plus three AI-ops moves you can run yourself whether or not we work together, and if it doesn't surface at least $5,000/mo in saveable ops cost, it's free.

Let's find the delivery margin you're leaving on the table.

Book the Margin Teardown. Walk me through your ops and leave with a roadmap plus three moves you can make whether or not we work together, or it's on me.