aiMAM | AI Marketing Action Machine
Turning marketing from a collection of separate tasks into a coordinated system of actions, intelligence and follow-up.
Marketing becomes difficult when several products, audiences, campaigns, contacts, emails, social posts, assets and follow-ups are moving at the same time.
aiMAM is being developed by Carl Henry Global as a multi-campaign marketing management system designed to organise those moving parts and use AI to assist with research, planning, content, personalisation, campaign knowledge and follow-up.
Rather than building the system theoretically, CHG is developing aiMAM by using it internally on real campaigns and real business development activity.
Marketing usually doesn't fail because there is nothing to do.
It becomes difficult because there are too many disconnected things to remember, create, coordinate and follow up.
Contacts and research live in different places.
Contact details, company information, notes, research, emails and opportunities can easily become separated from the campaign activity they are supposed to support.
Campaign execution becomes a memory exercise.
Content, email, social media, landing pages, assets, deadlines and follow-ups all compete for attention.
Good opportunities can disappear between actions.
An email may be sent, a contact may respond or a prospect may show interest — but without a coordinated record, the next action can easily be missed.
One operational layer for CHG marketing activity.
aiMAM is intended to become the place where campaigns are planned, actions are created, communications are prepared, activity is recorded and the next useful action becomes visible.
Our working principle: AI should not simply generate more marketing material. It should help turn information into useful, timely and coordinated actions.
From intelligence to action — and back again.
aiMAM is being designed around a continuous marketing cycle rather than a collection of isolated tools.
The first practical aiMAM capabilities.
Multi-Campaign Management
- Multiple CHG campaigns managed in parallel
- Campaign objectives, audiences and activity records
- Assets and content linked to individual campaigns
- Planned actions, deadlines and follow-ups
Contact & Company Intelligence
- Contact and company research
- Relationship and communication history
- Relevant CHG products and opportunities
- Briefing information before each approach
Email & Personalised Outreach
- Initial approach emails
- Follow-up and re-engagement messages
- Newsletter and campaign communications
- AI-assisted personalisation with human approval
Social & Content Scheduling
- Content planning by campaign and platform
- LinkedIn and Facebook scheduling workflows
- Creative assets linked to individual posts
- Published URL and result recording
Activity & Follow-Up
- Email, social, meeting and contact activity records
- Next-action tracking
- Follow-up reminders and priorities
- Relationship histories shared across campaigns
AI Recommendations
- Contacts requiring attention
- Possible next actions
- Campaign opportunities and gaps
- Research and content assistance
aiMAM + DIA Synapse
aiMAM manages what we do. DIA Synapse manages who and what we know.
DIA Synapse — Intelligence Layer
Contacts, companies, projects, opportunities, research, relationship history and commercial intelligence can be maintained as persistent business knowledge.
aiMAM — Action Layer
Campaigns, emails, social posts, newsletters, content, follow-ups, assets and marketing actions can then be linked back to the people and organisations involved.
For example, instead of simply knowing that a contact exists, the system should ultimately be able to show that a specific newsletter was emailed to that contact on a specific date, whether there was engagement, and what should happen next.
We are using the system before we finish building the system.
CHG's approach is to test aiMAM against genuine marketing activity first. We are selecting real contacts, researching them, preparing personalised approaches, sending communications, recording activity and managing follow-up.
Every repeated manual task, missing piece of information, awkward workflow or useful automation becomes evidence for what should — or should not — become part of the software.
This means aiMAM is not being designed around a hypothetical feature list. It is being shaped by the work required to run CHG's own campaigns.
Built first to solve our own marketing problem.
Carl Henry Global operates several products, services, audiences and campaigns simultaneously. That makes CHG a practical environment in which to test whether aiMAM genuinely improves coordination, consistency and follow-up.
Our goal is to progressively replace repetitive manual work with useful automation while retaining human judgement where it matters — particularly in personal communications, relationship building and commercial decisions.
The objective is not autonomous marketing for its own sake. The objective is better-informed human action, supported by AI and a reliable record of what has happened before.
What aiMAM could progressively become.
Organise
Structure campaigns, contacts, research, content, activity and follow-up into a coherent operating system.
Assist
Use AI to prepare research, communications, content, recommendations and next actions while humans remain in control.
Automate
Automate repeated and proven workflows only after real usage demonstrates that automation will genuinely improve the process.
Interested in what we are building?
aiMAM is currently an internal CHG development project and PBB test environment. We are interested in speaking with businesses that face similar problems coordinating contacts, campaigns, content and follow-up.
Talk To CHG About aiMAM Read The DIGITALPRENEUR NewsletterDevelopment-stage project. Dashboard imagery illustrates the intended aiMAM user experience and includes functions at different stages of development.
