Most mid-market marketing is bought as headcount or an agency retainer and judged on activity: posts shipped, emails sent, budget spent. AI Marketing OS is the first of our AI-driven integrated business solutions: an AI control plane above your applications and your marketing channels that runs the function as one governed system.
AI Marketing OS is an AI control plane above your CRM, marketing automation, social publishing and serverless layer, Google Ads, GA4, your website platform, your video renderer and your SEO data. It scores what the market is pulling on, plans programs, produces and publishes, promotes by value, and closes the loop to your CRM. Today it runs in company chat, where you approve every dollar in a thread; the solutions we build put the same control plane in a pane on every screen that knows the page you are on, so you talk or click on the same screen, and approvals reach you in company chat when you are away from it.
It decides what to argue from market evidence, plans programs against those arguments, writes and publishes the content, promotes it across social, email and paid search, feeds qualified leads back to the ad platforms, and reports every piece and campaign at its all-in cost. Today you talk to it in company chat; our solutions are designed around one surface, the same control plane in a pane on every screen that knows the page you are on. It acts in the applications; you approve every dollar before it is spent.
Theme-driven marketing, run monthly, weekly and daily on one surface: the content pane on the left, the conversation pane on the right, the agents doing the work and a person approving the outcomes. Ten screens, step by step.
Illustrative screens on a fictional client, Aldermere Supply Co.
AI Marketing OS began as our own need, and it runs CodeStringers’ marketing today: the themes, the posts and videos, the paid search, the newsletter, the measurement and the all-in cost of every piece.
This website is one of its outputs. Its pages, copy, design system and releases are produced and maintained by the solution, through the same gates a client would use: a person approves the plan and the money, the system does the work and logs it.
When the agency, the CRM, the ad account, the blog and the inbox do not agree, marketing becomes a cost center that reports on itself. The result: spend nobody can defend, content nobody can find, and leads nobody can attribute.
Ad, agency and tool costs that nobody can tie to a qualified lead.
Posts and videos produced by instinct, with no thesis, no program and no promotion plan.
Leads arrive in the CRM with no campaign, no click id and no way back to the piece that earned them.
Dashboards count outputs (posts, sends, impressions) because outcomes were never wired in.
By the time a monthly report says a campaign failed, another month of budget is gone.
The agency owns creative, the admin owns the CRM, finance owns the budget, and nobody owns the result.
Marketing touches research, argument, production, promotion, paid media, lead handling and measurement. Each one is a decision, and the decisions have to agree with each other. AI Marketing OS makes them in one place, on one set of facts, and records why. There is a ladder here: configured applications, where your people do the work in the screens; integrated business solutions, where the applications are joined and the data flows; and AI-driven integrated business solutions, where the same joined applications are operated by an AI control plane. AI Marketing OS is the third rung.
The lesson from running it on our own marketing first.
A stack automates tasks and waits for someone to work its screens. A control plane observes every system in one table, decides against your operating model, acts through the applications' own APIs in the right order, and asks you only where a person should decide: money, risk, taste, compliance. We design it around one surface: in the screens we build over your applications, a pane on every page is the control plane's face. It knows the record and the filters you are looking at, so you talk or click on the same screen, and the page refreshes when it acts. Away from your desk, company chat is the same control plane with the same gates. Every action is logged with who approved it.
The control plane sits above the applications, not inside one: it holds the operating model, the skills that run each workflow, the run log and the conversation, and it meets you on one surface: a pane on every screen of the skin we build over your applications, and company chat when you are away from them. Your applications at the center wherever one fits the role, every other channel around them, and a person at every gate that spends money.
CodeStringers built AI Marketing OS to run codestringers.com. In its first month it re-scored eight content themes against our partners’ platform direction, industry news, competitor publishing and search demand; created eleven programs joined to those themes; published blog posts and avatar videos on a weekly cadence; ran and pruned Google Ads campaigns under a fixed daily budget; delivered its first offline conversion from the CRM to Google Ads through the Data Manager API; and reported every piece and campaign at its all-in cost, including the AI’s own operating cost. Every number on the internal dashboard is read from one table, and every dollar was approved by a person first.
Eight themes scored 0 to 100 on market pull, set stable, one promotion.
Posts and avatar videos published under a program, announced by tier.
A Sales Ready lead sent from the CRM to Google Ads through the Data Manager API.
Two always-on capture campaigns held at a fixed daily budget; changes only on approval.
AI and video tool costs allocated to every piece and campaign next to media spend.
A marketing system should make the function easier to run, easier to measure and easier to defend. We design around the decisions that determine pipeline: what to argue, what to build, where to promote, what to spend, and what it returned.
Monthly scoring on our partners’ platform direction, industry news, competitor publishing and search demand.
Every campaign and piece belongs to a program with a window and a kill rule.
Blog, video, landing pages, press releases and emails produced in one queue with value tiers.
Budgets, bids and campaign status change only on a person’s approval; caps are enforced in code.
One daily table joins ads, analytics, video, social, email and CRM to each program and piece.
Every run, action and cost is logged; the dashboard and the record are the same data.
Marketing automation, CRM and social publishing work best when a system decides what to send them. AI Marketing OS connects them with the platforms your buyers actually use and the AI that does the work.
Record of truth for leads, qualification and the conversion that counts.
Newsletters, dedicated sends and nurture journeys, stamped by program.
Scheduled announcements across networks, governed by content value tier.
The system’s tables, run log, performance store and encrypted credential store.
Claude agents running versioned skills, from theme review to ads operator.
Google Ads, GA4, YouTube, the video renderer, the website platform, the SEO data or another SEO API; company chat for approvals, a shared drive for files.
Any agent can draft a post. The hard part is deciding what is worth arguing, keeping spend inside limits a person set, recording every action so it can be audited, and measuring the result at the cost it actually incurred. We design the operating model first, then make it executable on your applications (CRM, marketing automation, social, chat, files), the AI, and the channels it touches.
Marketing is where the argument for your business is made, where most discretionary spend goes, and where AI is arriving first. Get the system right and pipeline, cost and accountability all improve together.
You adopt the paradigm; we run it. Every solution we sell is a managed solution: the software, its integration to the platforms you already run, the people who keep it running, and the advice that keeps what goes into it sound. One subscription, four parts.
The solution and its surface: the agents, the routines, the gates, and the record of every run. Released as versions, tested before each one reaches you.
Connected to the platforms you already run, CRM, marketing, finance, help desk, through their own APIs, with every write read back and logged.
The people and the monitoring that keep it running: connections tested daily, a regression fixed before you see it, upgrades applied, administration done, questions answered.
The strategic work that keeps the inputs sound. A system runs what it is given, and poorly conceived themes produce failed campaigns, so a senior person reviews the plan, the targets and the results with you.
As a subscription: one monthly price for the software, the integration, the operations and the advice, in tiers for each solution set by how much of it you use in a month. No hourly billing and no change order for a routine fix.
Operationally complex businesses that want the outcome run for them, not another application to staff. If what you need today is hours of configuration or integration work on your own platform, that is on our services pages and we take it on; the managed solutions are where we are going. Our services
One accountable party for the marketing system, without the headcount.
Implementation, customization and the lead model the system depends on.
Journeys, segmentation and sends that a system can drive.
Connect your CRM with the ad platforms, analytics and publishing tools your marketing runs on.
Marketing automation software executes what a person configures: sequences, triggers, scoring rules. An AI control plane sits above those applications and the channels, reads market evidence to decide what to argue, plans programs, produces and publishes the pieces, promotes them and closes the loop to the CRM, with a person approving each outcome. The automation tools stay in place and keep recording; the control plane does the planning and the work between them.
A person approves the theme set each month, the slate of programs and their budgets, each draft before it publishes, each campaign before money is spent, and any proposed change that comes out of the daily numbers. The agents read the market, score themes, write and render the pieces, run the campaigns within the approved caps, pull every source into one table each morning and turn observations into proposals. Caps are enforced in code below the gate.
No. It runs above the applications you already have: the CRM, marketing automation, social publishing, the paid search and analytics accounts, the website platform and the video renderer, connected through their own APIs. Leads land in your CRM with the campaign and click attached; spend happens in your ad account under a cap. Nothing is migrated away. If a platform is not yet connected, connecting it is a small project.
Every dollar has a gate a person holds. A budget proposal arrives in company chat with the cap check; the person replies with a digit; the system applies the change and reads it back. Daily and monthly caps are enforced in code beneath the gate, so an approval cannot exceed them. Every action is logged with who approved it, and no credential is ever visible to a person or a prompt. Kill rules end a program that misses its measure.
A managed solution is one monthly subscription with four parts: the software, meaning the agents, routines, gates and run log; the integration to your platforms; managed operations, which are the people and monitoring that keep connections tested and regressions fixed; and advisory, a senior person reviewing the plan, targets and results with you. Media spend is separate and stays in your own accounts. Tiers follow how much of the solution you use in a month.
Every piece carries the program slug, and every campaign reports media, leads, sales-ready leads and cost per lead against its kill rule. Production cost is tracked per piece, including rendering, so the all-in cost of a post, a video or a campaign is a number rather than an allocation. The same lines that appear in the performance table answer in chat, which is how the function is judged on qualified pipeline rather than activity.
No-risk discovery. We read your CRM, your ad accounts and your content, and show you what a governed system would do differently, whether you work with us or not.
Thirty minutes, your plan on the screen: the themes become pieces, every dollar waits behind a gate a person holds, and the result is measured.
