In 2 weeks, get a complete map of your AI operation, a clear-eyed view of where competitors are ahead of you, and the 3–5 high-leverage moves that will compound the most over the next year.
20 minutes. No pitch. I'll tell you if we're a fit.
Built for ambitious operators running real businesses on AI tools. This is not a generic IT audit. This is a strategic review of your AI operation - written by an operator who runs the same kind of stack you do, and built around the question every serious operator should be asking: what am I missing?
20 minutes. No pitch. I'll tell you if we're a fit.
Most operators running 10+ AI tools can't see their own operation clearly. That blindness costs more than money.
Most solo operators and small AI-native teams built their stack tool-by-tool over 18–24 months. Each tool made sense in isolation. The collection rarely does. You're now running a critical part of your business through a system you've never actually mapped - and the cost of that blindness shows up in five specific ways:
You manage 10–20 tools across 10–20 tabs. There's no single view of what your AI workforce is actually doing - or what it's about to do wrong. You can't optimize a system you can't see.
Other operators in your space have figured out workflows you haven't. Not because they're smarter - because they've paused long enough to map their operation and find the high-leverage moves. You're heads-down running yours.
Most operators know they have some redundant tools. Few realize how many workflows AI should be doing for them that it's not. The cost of what's missing is usually higher than the cost of what's duplicated.
Customer data flows through tools you forgot you authorized. Workflows depend on single-vendor points of failure. Compliance exposure grows quietly. You can't manage what you haven't enumerated.
Every new tool decision happens without context. You buy because something sounded good in a thread, not because you can see how it fits the operation you already have. The stack gets bigger without getting better.
Running 15+ AI tools while building, selling, and supporting a business means you never get the time to step back and ask the hard question: am I actually running this well, or am I just running it? The AI Stack Audit is that step back - done in two weeks, by an operator who lives in this stack every day.
I do five things in two weeks: map your entire AI operation visually, deliver a strategic verdict on every tool, identify the workflow gaps your competitors are probably filling, surface risks you haven't seen, and hand you a 30-day plan of high-leverage moves prioritized by what compounds most.
You leave with the strategic view of your AI operation you've never had time to build yourself, a written report you can refer back to whenever the next tool decision comes up, and a 30-day action plan that focuses on the highest-leverage moves - not just the obvious cleanup. Concrete actions, with time estimates and expected impact.
Book a Discovery Call →A clear, five-step process - designed around your existing stack, with structured async work and live calls at the right moments.
A 90-minute call to understand your business, your goals, and how you think about your AI stack today. We surface the questions that will drive the audit. You also receive the pre-work questionnaire.
You complete a structured questionnaire that captures every AI tool you use, its purpose, monthly cost, frequency of use, and what frustrates you about it. Takes most operators ~60 minutes. Done in your own time.
A 45-minute follow-up call where we go deep on the two or three areas that need the most exploration - usually the messiest workflows, the highest-cost tools, or the parts of the business where you suspect waste.
We build the visual map, run the redundancy and gap analysis, write the tool-by-tool verdicts, and assemble the 30-day action plan. This is the heavy lifting - it happens on our end.
A 90-minute delivery call (recorded for you) walking through every finding and recommendation. You receive all documents, the visual map, and the action plan. 30 days later, one follow-up call to check what got implemented and what got stuck.
Each engagement is the same structure - the focus shifts based on where the highest-leverage moves tend to live in their operation.
You run a $300k–$2M store solo or with one assistant. You use AI for support, content, ads, listings, email, and inventory analysis. You suspect you're paying for tools that overlap with Shopify's built-in features, and you know there are automation wins in the support and email flows you haven't gotten to.
What we typically find:
You run a SaaS doing $20k–$100k MRR by yourself, using AI for sales, support, customer success, marketing, and content. You're nervous you're spending too much time on operations that should be running themselves.
You deliver client work through AI tools with a minimal human team. You're paying for many of those tools per-seat. You haven't audited whether the tools you bought 18 months ago are still the right ones.
You run a newsletter, podcast, YouTube channel, or content brand with AI doing most production and distribution. Your stack grew organically and you have no idea if it's the right shape for where you're going. You want a clear-headed external look before you make any big tool changes.
The operator runs a $40k MRR SaaS solo. We map every tool, surface that their entire customer success workflow is being done manually when most of it should be automated, identify a major retention workflow gap competitors have closed, find a customer-data routing risk in their support stack, and flag two tools they're paying for but never use. We deliver a prioritized 30-day plan: wire up the CS automation (saves ~8 hours/week and improves retention), close the retention gap with a specific tool addition, remediate the data risk, and clean up the unused subscriptions while we're at it.
This is an illustrative example of how the audit typically plays out - not a guaranteed result, documented case study, or performance claim.
Start with the audit. Two weeks, fixed scope, fixed price. The action plan alone tends to identify enough operational leverage to make the engagement obvious in retrospect.
⏱ Delivered in 2 weeks
20 minutes. No pitch. I'll tell you if we're a fit.
⏱ Delivered in 2 weeks
The audit is a fixed-scope engagement. Here's exactly what you walk away with - no vague slide decks, no "consider these options" advisory language. Strategic clarity, written down, in your hands.
A diagram of every AI tool in your business, how they connect, what data flows between them, and where the manual handoffs still happen. Most operators have never seen their stack on paper. Seeing it is half the value.
Every tool in your stack gets one of four verdicts: Keep, Optimize, Replace, or Eliminate - each with written rationale you can defend to anyone (yourself, a partner, an investor).
A clear accounting of where capabilities overlap in your stack, with consolidation recommendations and impact estimates.
The manual workflows AI should be handling. The single points of failure. The data-routing risks. The compliance soft spots. Documented so you can address what matters.
A ranked list of 5–10 specific moves. Each one has a time estimate, an expected impact, and a clear how-to. Not "consider improving your support workflow" - "replace [Tool A] with [Tool B], migrate in 3 hours, recover 2 hours/week of operator time and close the retention gap in your CS flow."
Where you should swap a tool, you'll get a specific alternative with rationale. No affiliate links. No vendor relationships. No kickbacks. If we don't have a strong recommendation, we say so.
20 minutes. No pitch. I'll tell you if we're a fit.
I want to be clear about what this service is - and is not. No vague claims, no gray-area tactics.
Every recommendation is based on what's right for your business. I have no vendor relationships and no financial relationships with the tools I recommend. If that ever changes, I'll disclose it prominently before any engagement.
I deliver a structured audit, a clear map, and a concrete action plan. The implementation is yours. I do not promise specific dollar savings or hours-saved figures - only the audit work itself.
The audit is the audit. If you want hands-on implementation help afterward, we can discuss that on the delivery call on a case-by-case basis. I don't blend the two - it muddies the recommendations.
You need a stack worth auditing. If you're using 1–2 AI tools and exploring, I'm not a fit yet. Come back when your stack is real.
You'll give me read-only access to whatever I need during the engagement. After delivery, I remove all access. Your tools, your data, your business.
What I do: I deliver a clear-eyed, operator-to-operator audit of your AI operation - what's working, where the high-leverage moves are, what's missing, and what to do about it - in two weeks, for a fixed price.
This service is purpose-built for ambitious operators running real businesses. Take 30 seconds to see if it's a fit.
Karthea is run by Murtez Alrohani - a software engineer with years of experience building AI-native systems. I take a small number of audits at a time because the recommendations need to come from someone who actually lives in this stack every day, not someone advising from the outside.
Two weeks. Fixed scope. Fixed price. You get the strategic view of your AI operation you've never had time to build, a verdict on every tool, and a 30-day action plan focused on the highest-leverage moves - not just the obvious cleanup.
20 minutes. No pitch. I'll tell you if we're a fit.
If you have a question not answered here, book a call and we'll answer it directly.
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