You have built a genuine second brain in Claude Code for xGrowth — event playbooks, post-event email generation, the operating knowledge of how you run go-to-market. But it is stuck. Every improvement makes it more valuable and more locked down at the same time, because the same folder holds confidential team information your marketing lead should never see. Once that is solved, the same system that runs your business can start running client work too.
We do not need to imagine the friction. You described it. Here it is reflected back — because solving it starts with making sure you know we actually heard it.
“It has — everything is in there. It is like team structure. It is like a second brain for me, right?”
“It is not on your computer and in my computer, and it is a total mess of what is happening.”
“My biggest fear is over-engineering this … for a company of our size.”
Specific to a business like yours — with the complexity, team, and clients you are managing.
Your marketing lead opens the GTM OS the morning after an event, runs the post-event skill, and gets the same crafted, on-brand emails you would have written yourself — because the system knows the event playbook, not because they are guessing.
You make a note about a sensitive team decision without a second thought, because it lives in a staff-only folder your marketing lead cannot reach — no manual redaction needed, no checking what is inside first.
A strategist working a client account pulls from the same kind of structured memory and skill library you built for yourself — client data captured once, systems and assets generated on demand, instead of every strategist rebuilding the same groundwork by hand.
Before this conversation, we ran a quick audit on your website — checking how xGrowth appears to AI search engines. What we found matters, and most businesses have no idea this is happening to them.
You have built real, quantified proof — 1.2 million AUD in pipeline within four weeks for one client, a 1.4 million AUD and growing return for another, 24 meetings generated from 100 target accounts. None of it is written in a way AI search engines can find, verify, or repeat back when someone asks which is a good ABM agency in Australia.
We fix the three gaps the audit identified. Your homepage content becomes readable to AI crawlers. Structured answer content goes in so AI engines can extract what xGrowth does. Your credentials are wired into structured data that AI search engines can verify, cite, and surface when someone asks for a business like yours.
We restructure the Claude Code GTM OS into separated client and staff memory, so confidential team information sits in a staff-only folder that stays invisible to your marketing lead entirely. Infisical handles credential and permission management, so you decide exactly what each team member can do without sharing raw logins. A lightweight shared memory layer, Postgres or ByteRover, replaces the single-laptop file system so the OS stays in sync as more people use it. No new platform and no rebuild — the system you already built, made safely shareable.
The post-event skill that drafts your follow-up emails today keeps every bit of its power, but it moves onto the shared memory layer so any team member running an event can trigger it. Where it needs to reach beyond Claude, we wire it into n8n — pulling attendee data, updating the CRM, and queuing the drafted emails for review. Post-event follow-up moves from something only you can run to something the whole team owns.
The same approach behind the GTM OS — capture data once, encode it as reusable skills and memory, generate assets on demand — gets built into the delivery and strategist toolkit. Client account data, campaign history, and messaging frameworks get captured in a structured, shareable system that strategists can pull from and generate client assets against, instead of rebuilding each client context by hand every time.
The four projects above are what we identified without looking inside xGrowth. The AI Adoption Pathway is what happens when we do.
In month one — running alongside the candidate selection and the four identified projects — your team completes the AI Adoption Pathway surveys. We map every process, every friction point, every place where time is being lost or value is being left on the table.
Andrew holds a strategy session with you at the end of week three. What comes out is a prioritised, ROI-ranked plan of AI opportunities specific to xGrowth. Not a generic framework. Your plan. Your specialist works from it every week, reviewed every quarter.
The four projects give you momentum from day one. The Pathway gives you direction for everything that follows.
All engagements are a minimum three-month term, billed monthly in Australian dollars. Rates are fixed for the full engagement.
Infrastructure costs and Private AI hosting quoted separately. Full details at remap.ai/aispecialist
A clear sequence. Every step is managed by REMAP — your involvement is focused and minimal.
You sign the engagement agreement. Billing begins. The specialist search opens immediately, and we send your team the AI Adoption Pathway surveys so that process runs in parallel from day one.
We build your panel of three matched specialists. You meet all three and make your selection — typically completed by the end of week two. Pathway surveys are completed by your team in this window, running alongside.
Your specialist joins xGrowth and initiates all four identified projects simultaneously. The AI Adoption Pathway audit wraps up. Andrew holds your strategy session — the full roadmap is built, reviewed together, and handed to your specialist as their expanded work queue.
Your specialist works from the full roadmap — the four identified projects running to completion, alongside newly prioritised opportunities from the Pathway audit. First quick wins typically ship in this window. Delivery continues, reviewed and reprioritised quarterly.
You have done the hard part — you know what needs to change. The next step is simply beginning. Everything from here is managed by REMAP.