Goal-oriented, self-improving, sometimes autonomous AI agents purpose-built for B2B buying and selling will soon impact every interaction during the purchasing journey and postsale path to value. Investment is on the rise, with 74% of B2B and B2B2C organizations adopting AI agents and 14% planning to adopt them, according to Forrester’s State Of Customer Obsession Survey, 2025.

While most are “agentish” or agentic-adjacent (for now), AI agents are already augmenting the B2B go-to-market workforce — and workflows — at a rapid pace, interacting directly with internal and external audiences and impacting both the customer and employee experience.

Unlike a conversational interface, general-purpose chatbot, or personal productivity assistant, go-to-market (GTM) AI agents are specialized by focus area and role, with more distinctly agentic capabilities as the technology continues to evolve. These AI agents will autonomously research, identify, and engage prospects to qualify opportunities, negotiate, and even execute complex deals.

But for an AI agent to be successful on the job, its work must align to how buyers buy and how customers engage, based on demand type, purchase complexity, audience personas, opportunity types, the makeup of decision-making groups, and how a product is utilized postsale.

Agent Casting Call: Select, Align, And Integrate B2B AI Agents To Fit Your GTM Objectives

Plan for a mixed group of specialized AI agents to support B2B marketing and sales processes. Match B2B AI agents to use cases based on their focus area, scope of work, technical capabilities, and collaboration requirements based on the GTM function supported. Start by breaking down sales and marketing workflows into steps and tasks (or have an agentic AI agent do that for you), then determine which are best performed by human, AI agent, or hybrid human-AI approach.

AI agents purpose-built for B2B GTM broadly align to seven archetypes, each tailored to specific business contexts, audience needs, interaction scenarios, and training data and tooling requirements: the rule-follower, producer, savant, influencer, choreographer, planner, or innovator. Use these archetypes to create a well-rounded cast of AI agents connected to key B2B GTM initiatives and the work to be done based on use case, specialization, capabilities, constraints and limitations, interaction style, and target business outcomes.

In an ideal state, these AI agents could work together to deliver, for example, personalized B2B buying experiences by blending domain expertise and adaptability with creativity and process optimization. The rule-follower automates repetitive tasks within predefined workflows, while the producer generates custom content and messaging at scale for diverse audience segments and personas. The savant analyzes buying signals and offers actionable insights for optimizing buying interactions, complemented by the influencer’s role in crafting buying group experiences that accelerate decision-making. Behind the scenes, the choreographer ensures ongoing collaboration among AI agents and human stakeholders.

As autonomy continues to increase, so too does the need for AI agent alignment, accountability, governance, and human-first change management. Join Anthony McPartlin and me at Forrester’s B2B Summit EMEA in London this October to learn more about AI agents and what they mean for GTM strategies and teams in the breakout session, “Holiday Hell And The Future Of Agentic AI In B2B.”