AI MARKETING AND OPERATIONS
Build a modern growth infrastructure
AI creates the most value when it is built into how your marketing runs and fed by what your firm already knows, not bolted onto the process as one more tool.
I build and run the AI systems underneath a professional services firm's marketing: the automations that remove repetitive work, the agents that handle it, and the knowledge infrastructure that puts your firm's own expertise to work.
Most AI marketing engagements hand a firm a list of tools and a training session, then leave. What the firm ends up with is the same marketing process as before with a chatbot beside it, which is why so much AI adoption produces activity and no leverage. The value was never in the tool. It was in rebuilding the work around it.
This is the operating layer under the other three disciplines. Brand, content, and go-to-market each run on systems, and this is where those systems get designed, built, and governed, so a firm your size can run a complex marketing function that used to require a department. It starts with a diagnostic, because the first job is finding where AI actually compounds your output and where it would just be theater.
Why does most AI adoption produce activity instead of leverage?
Because most firms add AI without changing anything else. A partner starts using ChatGPT to draft emails, the marketing coordinator runs copy through a generator, someone buys a tool that promised automation, and none of it connects. The firm is busier and no more capable, because the underlying process never changed. The tool got faster at a step that was never the constraint.
There's a second failure that's specific to firms like yours, and it's the more expensive one. The most valuable thing your firm owns is what your people know: the reasoning behind past calls, the client history, the way your best partner handles a hard situation. That knowledge lives in individual heads and scattered files, and it decays. A partner retires and thirty years of judgment leaves with them. A generic AI tool cannot help with any of this, because it knows the entire public internet and nothing about your firm.
So the firm ends up with AI that makes the commodity work slightly faster while the actual asset, the institutional knowledge that makes the firm worth hiring, stays trapped and undocumented:
The tools are point solutions that do not talk to each other or to your systems
The output is generic because the AI has no access to what your firm specifically knows
The knowledge that walks out the door at retirement was never captured anywhere a system could use it
The tool got faster at a step that was never the bottleneck, while the thing that actually makes the firm valuable stayed locked in people's heads.
The firms getting real leverage from AI did something different. They stopped treating it as a set of tools to adopt and started treating it as infrastructure to build, fed by their own knowledge rather than the internet's.
How do you build an AI operating layer for a firm this size?
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We start with the Growth Diagnostic, an interview about your current processes and goals, followed by analysis that surfaces opportunities.
Through this process map how your marketing actually runs today, where time gets spent, where work stalls, where the same task gets done by hand every week, and where your firm's knowledge is sitting unused. Then I separate the places AI would create real leverage from the places it would just add a tool nobody needed.
Not every process should be automated, and part of the value here is saying so.
You get: an AI operations roadmap that names the specific systems worth building, ranked by the leverage each one returns against the effort to build it.
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I build the automations that remove repetitive marketing tasks and the agents that handle the ones that need judgment, wired into the tools you already use rather than added beside them.
Lead routing that runs itself, content production workflows, reporting that assembles without anyone exporting a spreadsheet, whatever the roadmap identified.
You get: a set of working automations and agents built on your existing stack, each one documented so your team can keep it running.
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Your firm's knowledge, meaning client history, past work, the reasoning your partners carry, gets organized into a system an AI can actually use, so the output is grounded in what your firm specifically knows instead of what the public internet says.
Built on the architecture I use to run Kailos itself, the system maintains and cross-references itself as new material comes in, and it surfaces the right knowledge at the moment it is needed. A partner drafting a proposal gets the relevant history without hunting for it. The expertise of your most senior people stops being trapped in their heads and starts being an asset the firm can use, and keep.
You get: a firm knowledge engine that turns your scattered institutional knowledge into a maintained system your AI tools and your team can both draw on, so expertise compounds instead of decaying.
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An AI system a firm cannot control is a liability, and for firms handling client money and confidential information the stakes are real. I set the governance, meaning what AI is allowed to touch, what stays under human review, how client data is protected, and the guidelines that keep output aligned with your brand and your obligations. Then I train your team to operate the whole thing, because the goal is a function your firm owns and runs, not a dependency on me.
You get: an AI governance policy and a trained team, so the systems run responsibly and your people can operate them without ongoing consultant dependency.
How do you protect sensitive data in an AI-run marketing function?
A firm that sells trust cannot afford output that sounds generated or a system that mishandles client information.
Two things keep the data safe. The first is that these systems run on your firm's own knowledge, not the generic internet, which is what makes the output sound like your firm instead of like every other firm using the same tools. A knowledge engine grounded in your history and your partners' expertise produces work that is specific in the way generic AI never is. The second is that judgment stays human at every point that matters. AI does the volume and the assembly. What gets published, what a client sees, what a partner puts their name on, stays a human decision, governed by policy rather than left to chance.
On the data side, governance is built in from the start rather than bolted on after something goes wrong. What the systems can access, what stays walled off, how client confidentiality is preserved, all of it is defined before anything is deployed. For firms with compliance obligations, that is not optional, and it is one of the reasons a generalist AI consultant is the wrong choice for a professional services firm.
Recent AI operations projects
BusinessQuestBrokers - CRM Process Update
Built lead management system in Zoho that captured leads and sent follow-up documents.
CRM Optimization | Process Improvement | Sales Enablement | AI Operations
2026
Immiparalegals - GTM Web Scraper
Created an automated web scraper that found and validated leads and added to CRM.
CRM Optimization | Process Improvement | Sales Enablement | AI Operations
2025
Kailos Second Brain and Diagnostic Tool
Built myself an institutional knowledge system and AI-powered diagnostic tool.
Lead Gen | Knowledge Management | AI Operations
2025
Choice Choice - Marketing Infrastructure
Created top-to-bottom lead infrastructure finding prospects, enriching data, and sending outbound.
GTM Infrastructure | Process Improvement | AI Operations
2025
Frequently Asked Questions
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It is scoped to what gets built, since a single automation is a different project from a full knowledge engine and governance framework. Most engagements are project-priced against the roadmap that comes out of the diagnostic, so you see the scope and the cost before committing to the build.
Simpler builds start smaller and the full operating layer runs higher. The diagnostic that scopes it is free.
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With the Growth Diagnostic, which for this work doubles as the assessment that maps your operations and finds where AI is worth building. It is free, it produces a roadmap you keep, and most firms use it to decide what to build first even if they phase the work over time.
You do not need to know what you need before we start. Figuring that out is the first part of the job.
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No, and it is often cleaner if you do not, because scattered tools bought piecemeal usually have to be untangled before anything connects.
Whether you are starting from nothing or already running a dozen disconnected tools, the work is the same: map what creates leverage, build the systems that capture it, connect them to what you already use.
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It is a system that organizes your firm's own knowledge, meaning client history, past work, your partners' expertise, into a form an AI can actually use, so the output is grounded in what your firm knows rather than the generic internet. It maintains and cross-references itself as new material comes in, and it surfaces the right information at the moment someone needs it.
The practical payoff is twofold. Day to day, your team stops hunting for things and your AI output stops sounding generic. Long term, the expertise your senior people carry stops walking out the door when they leave.
I wrote about the concept in detail on my Substack here.
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No. It removes repetitive work and scales what a small team can produce, which for a firm your size is the difference between having a marketing function and not. The strategic and creative decisions, and the client relationships, stay with your people.
For most firms in this range the effect is that a lean team operates like a much larger one, not that anyone is replaced.
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Because a generalist will build you the same systems they would build a software company or a retailer, and a professional services firm is neither.
The knowledge that matters is different, the compliance obligations are real, and the output has to carry the credibility your firm sells on. I build for that specifically, on systems I run in my own firm, for the trust-based firms this practice is built around.
Let’s Get Started
Contact me when you’re ready to explore how an updated brand position can elevate your firm.