Supporting article
AI transformation in B2B marketing: from individual prompts to reliable operations
A practical guide to AI readiness, automation and agents for SaaS, IT and tech: objectives, pilots, quality and ongoing operations.
Read articleINSIGHTS / TOPIC
Agentic AI: Insights for B2B SaaS & Tech
Practical guidance and deeper analysis of Agentic AI, with clear terms, transparent examples and useful next steps.
Supporting article
AI workflow automation: clarify the process before connecting tools
Improve recurring marketing work with AI by defining inputs, checks, handoffs and failure handling clearly.
Read article
Supporting article
AI governance in marketing: meaningful ownership and human review
Practical AI governance for marketing teams: permitted data, bounded permissions, meaningful review and traceable handoffs.
Read article
Supporting article
AI agents in marketing: which tasks can be bounded usefully
Plan marketing agents for research, briefs and campaign checks with explicit sources, permissions and quality review.
Read article
Supporting article
B2B sales agents: improve preparation while keeping relationships accountable
Bound sales agents sensibly for account research, meeting preparation and CRM drafts with fact checking and explicit sending permissions.
Read article
Supporting article
Multi-agent systems in marketing: when several specialists make sense
Plan multi-agent orchestration through clear task boundaries, handoffs and control of quality, effort and permissions.
Read article
Supporting article
Recording agent state: what has actually been completed?
Structure intermediate states, evidence and completion conditions.
Read article
Supporting article
Prioritising AI automation: a backlog for clear decisions
Weigh dependencies, benefits and operational effort together.
Read article
INTERACTIVE / FROM READING TO ACTION
Three checkpoints for your implementation
Choose a checkpoint and track your reading progress. Checks are neither saved nor sent and do not score your business.
CHECKPOINT 01
AI transformation in B2B marketing: from individual prompts to reliable operations
A practical guide to AI readiness, automation and agents for SaaS, IT and tech: objectives, pilots, quality and ongoing operations.
CHECKPOINT 02
AI workflow automation: clarify the process before connecting tools
Improve recurring marketing work with AI by defining inputs, checks, handoffs and failure handling clearly.
CHECKPOINT 03
AI governance in marketing: meaningful ownership and human review
Practical AI governance for marketing teams: permitted data, bounded permissions, meaningful review and traceable handoffs.
0 / 3 reviewed
Frequently asked questions
How do AI agents and agentic AI differ?
An AI agent performs a bounded task using tools or action steps. Agentic AI describes the broader approach of coordinating goal-directed work across steps. Boundaries, approvals and quality review remain necessary.
How do I use this topic archive for a specific decision?
Start with the linked pillar guide, then choose the supporting article that addresses your question. The articles explain approaches, assumptions and limitations.
Can Patrick help put this topic into practice?
Yes. This topic connects with the AI Transformation & Automation service. An initial call clarifies the task and suitable engagement. The articles themselves are not individual consulting.
How do I use the articles for a specific marketing decision?
State your open question first and choose the relevant pillar guide or supporting article. Compare prerequisites and examples with your product, market and data. Use linked sources for review and record the assumption you want to test next.
How can our team validate a recommendation from the blog?
Limit the activity to a specific use case and define the baseline, owner and review criterion. Record changes to the offer, channel or data. Then assess whether the recommendation helped in your circumstances; the article is not an individual results promise.