AI Foundation
A Growth Machine You Keep.
I personally build the agreed measurement, automation, content and reporting systems, then document and transfer the work to the people who will operate it. We agree the layers, integrations, capacity, dependencies and acceptance for each client or project. The handoff identifies company-controlled deliverables, licensed components, recurring costs and the continuing owner.
AI Growth Systems: the operating layer between your ads account and your bank account. I don’t rent you ChatGPT. I install a growth machine.
Fit
Right fit for Foundation. And who should look at Premium instead.
Right fit for Foundation
- ✓ B2B, B2C, SaaS or ecommerce teams with a defined measurement or growth-operations build
- ✓ Teams that fired their agency and need a real machine, not another retainer
- ✓ Companies where the CEO is still the de facto CMO and the first hire is a system, not a person
- ✓ Marketing ops leads who know what needs to be built but do not have the time or n8n depth to build it
- ✓ Teams in Israel or international markets that need personally delivered infrastructure and an agreed maintainer
Look at Premium instead if
- ✗ You need paid acquisition managed hands-on, not just measured: that is AI Premium
- ✗ You need GEO citation monitoring and a content pipeline running simultaneously from day one: Premium ships those together
- ✗ You need ongoing strategic ownership and personal operation alongside the build; compare the actual Premium or Hybrid scope
Investment
Scope and pricing depend on the engagement.
AI Foundation
Scope-dependent
Scope and pricing agreed for the engagement
- The selected measurement, automation, content, reporting and search-readiness layers, with owner training and documented handoff. We name the work and supporting capacity required.
What is included
6
system layers installed
- The agreed attribution, n8n automation, content, dashboard and applicable search-readiness work, with documentation, maintainer training and handoff. Select and sequence the layers from the actual business decision.
What is NOT included
0
ad account management
- Foundation installs the measurement and automation layer. Your team runs paid, or you upgrade to AI Premium where I own the ad accounts. Foundation is infrastructure; Premium is operations.
What ships
Agree the build sequence and acceptance
Attribution pipeline
I inspect and implement the measurement work the scope needs, including the agreed GA4 audit and event definitions, CRM mapping and supported browser or server integrations. Verify selected test journeys against source records, record unmatched cases and agree the dependencies for subsequent work.
Selected automation layer
I build the selected n8n workflows around a defined input, output, owner and acceptance test. Lead routing, anomaly review and weekly reporting are possible tasks; priorities depend on the cost, evidence and dependencies of the actual process.
For each selected automation, define its input, intended output and decision owner before building it. A lead-routing workflow, for example, needs an agreed routing rule and a place for ambiguous records to be reviewed; a weekly report needs agreed metric definitions and a named reader. Record what happens when required data is missing and which actions require approval. Retry rules, escalation and recovery are choices to agree for that workflow, rather than assumptions hidden inside the automation.
AI content pipeline
Research-to-draft pipeline with quality gates: topic research, brief generation, LLM draft, editorial review workflow, and publish cadence. Output is a system your editor approves and publishes, not raw AI text.
Dashboard and monitoring
I build the agreed dashboard from named source records and metric definitions, showing refresh timing, missing inputs and reconciliation limits. Alerts use the selected thresholds, destinations and escalation owner; an unavailable connection is not an observed zero.
GEO layer
I inspect search access, useful buyer content, visible entity facts and applicable structured data, then implement the selected work. Record comparable buyer-question observations in the agreed engines separately from readiness checks; neither markup nor a file guarantees a citation.
Handoff and owner training
Parallel operation and a standalone verification phase prepare your team to run the system. Full documentation includes runbooks, SOPs and architecture diagrams. The phase durations, ownership transfer and engagement completion are agreed before work starts.
List delivered configurations, company-controlled accounts and repositories, data locations and available exports.
Identify the client maintainer, monitoring instructions and SOPs, then check normal operation and an agreed failure-and-recovery example.
Distinguish company-owned deliverables from licensed components and temporary services, including recurring costs and continuing permissions.
Agree and check access transfer and revocation before handoff.
I don’t rent you ChatGPT. I install a growth machine your team runs after I leave.
Systems that outlive the engagement. Here is the track record.
Foundation pricing versus what you are spending now
Compare a hire and Foundation for the same work, capacity, internal coverage, total cost and continuity. A documented handoff can be part of either proposal; verify who owns the configurations, accounts, code and continuing maintenance.
Compare the agency’s actual scope, named people, asset ownership and transfer terms. In Foundation we identify company-controlled workflows and the agreed attribution pipelines, content system, editorial gates and reporting. The handoff records licences, recurring services and the person who will maintain each component.
Compare total cost and coverage over the same period, including tools, implementation, maintenance and any specialist support. Foundation combines my personal build with an agreed handoff; a full-time hire can provide a different level of continuing internal coverage.
Compare Foundation with alternative delivery models
| Option | Cost | Ownership and continuing responsibility at the agreed handoff |
|---|---|---|
| AI Foundation | Scope-dependent engagement pricing | Agreed configurations, workflows, documentation and training; licensed services and maintenance recorded separately |
| AI agency on a monthly retainer | Actual same-scope proposal and recurring costs | Check contract terms for accounts, code, exports, operating knowledge and transfer |
| Junior marketing hire | Salary, employer costs, hiring and supporting resources over the same period | Check documented processes, company-controlled assets and continuity plans |
| Marketing automation freelancer | Actual project scope and continuing costs | Check which workflows, integrations, reporting and handoff are included |
| Fractional CMO (strategy and agreed execution) | Actual leadership and personal implementation scope | Agree what is built, operated, documented and transferred, with named delivery capacity |
Timeline
A planning sequence to adapt to your scope
Attribution layer live
I investigate the agreed sources and implement the selected measurement repairs. Retain eligible test journeys, expected records, actual observations and unresolved gaps. Choose the next build from what the evidence and access support.
Automation and content live
Build and test the selected workflows and editorial process. For an illustrative routing test, a lead with missing required fields should reach the agreed review queue rather than disappear or be assigned from a guessed value. Record the observed result and the continuing owner.
Dashboard live, first optimization loop running
Release the agreed dashboard and alert checks, train the maintainer and verify a normal workflow plus a failure-and-recovery example. Content cadence, observation windows and handoff dates follow the actual scope and dependencies.
FAQ
Questions on AI Foundation
How is the engagement duration agreed?
We define the workflows, integrations, data access, acceptance tests and handover needed before agreeing duration. A contained implementation and ongoing operation have different requirements. The scope specifies what I personally build, your team's dependencies, maintenance ownership and fees; the timeline should follow those commitments rather than a universal fixed package.
What do I own when the engagement ends?
You retain the company-controlled deliverables named in the agreement, including the selected workflows, reporting configurations, content process and documentation. Record accounts, repositories, data locations, licences, recurring costs, access transfer and continuing maintenance. Verify the agreed access revocation rather than assume every dependency disappears.
Do I need developers on my team?
I personally build and verify the agreed system. Whether your team needs development or specialist support depends on the integrations, access and maintenance involved. We identify those dependencies and the internal maintainer before committing the work; n8n alone does not make every system maintenance-free.
Can Foundation run alongside our existing agency?
Yes. Name the agency’s responsibilities and my implementation scope, agree access and review the source records together. Findings can support a change in work or budget, but a platform-versus-CRM difference alone does not establish waste or a reason to dismiss the agency.
Can we upgrade to Premium mid-engagement?
Yes. Premium adds paid account management, full GEO engine, and exec reporting cadence to Foundation. Upgrade scope, pricing and timing are agreed separately. Most upgrades happen when the attribution layer is clean enough to run paid with real numbers.
What is the difference between Foundation and the AI Audit?
The AI Audit is personally performed, hands-on investigation of the agreed records and workflows. It can remain read-only and produce an evidence-based plan. Foundation includes the personally implemented system build we agree from those findings; production changes and continuing operation are authorized separately in the scope. Advisory alone is advice-only.
Does AI Foundation include ad account management?
No, ad account management is not included in Foundation. Foundation installs the measurement and automation layer. Your team runs paid, or you upgrade to AI Premium, where I own the ad accounts. Foundation is infrastructure; Premium is operations. Upgrade scope, pricing and timing are agreed separately.
Who is AI Foundation the right fit for?
Foundation fits a defined measurement, automation, content or reporting build where we can agree access, personal delivery, dependencies and a continuing owner. I work across B2B, B2C, SaaS and ecommerce. Spend, stage and team size help size the work; they do not decide fit on their own.
When should I choose AI Premium instead of Foundation?
Compare Premium when you need my continuing personal operation and strategic ownership alongside the infrastructure build. Foundation suits the selected system implementation and handoff. Agree channels, cadence, capacity, fees and responsibilities from the actual work rather than a universal spend threshold.
Where Foundation fits in the AI Growth Systems ladder
Next step
Book a Foundation Call
Use the call to define the business decision, implementation, access, dependencies and handoff needed. We agree the scope, capacity and first delivery before starting.