Christopher Gallagher

Founder, AI Sales Training | B2B Sales Automation Specialist

Sources checked
ABOUT

Chris is an AI consultant and sales strategy expert with extensive experience integrating AI solutions into sales and leadership processes. Specialising in real-world use cases, including the deployment of Microsoft Co-Pilot and custom AI systems, Chris helps businesses at any stage of their AI journey—from those just starting to explore AI to those deploying advanced agentic AI systems—unlocking enormous time efficiencies at scale and improving sales execution. Whether it’s account mapping, deal qualification, tracking deal health, or winning bigger deals, Chris helps teams leverage AI to improve every aspect of sales. For leadership, AI-driven solutions enhance coaching, forecasting, and drive increased customer lifetime value (CLV), among many other business-critical areas. Chris is highly unusual in the AI consultancy space in that he's an expert in Sales & Leadership, AI, Training & Development, and has a high level of AI technical knowledge, including being an expert prompt engineer. This means one consultant for the concept, design, build and embedding of your Sales AI strategy. He has references and real life use cases which very large and smaller organisations that can help to expedite your AI journey and partnership with large MicroSoft Azure MSPs for Enterprise Co-Pilot projects.

Areas of focus

Professional niches

THE WORK BEHIND THE PROFILE

Proof of Work

implementationChecked Sep 20, 2026

AI Sales Training: Multi-Step Agentic Workflow & Autonomous Error Recovery Engine

A verified production automation architecture implemented by Christopher Gallagher at AI Sales Training, featuring stateful tool orchestration, automated failure recovery, and structured human approval checkpoints.

Scope & limitations

Operational workflow system; requires monitored execution runtimes and rate-limit backoff handling.

Context: Orchestrated via stateful multi-step agent graphs and deterministic JSON schema validation.

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explanationChecked Sep 20, 2026

AI Sales Training: Autonomous Multi-Step Workflow Engine & Error Recovery

A verified production automation architecture implemented by Christopher Gallagher at AI Sales Training, orchestrating multi-agent state machines, deterministic validation gates, and human-in-the-loop review queues.

Scope & limitations

Operational workflow system; requires monitored execution environments and API rate limit safeguards.

Context: Commercial LLM prompts and SDR workflow integrations.

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