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About the Role

Play a pivotal role in transforming AI innovation into real customer value by driving agent adoption, identifying high-impact use cases, measuring business outcomes, and shaping AI strategy. This role bridges the agent build program and Professional Services (PS) field, tracking deployment and adoption, measuring outcomes, and connecting delivery performance to commercial conversations.

Responsibilities

• Maintain a live view of tactical agent deployment across PS teams, including which agents are deployed, with which accounts, and at what stage of adoption.
• Identify patterns in adoption data, determine what is working, where uptake is stalling, and the root causes, translating these insights into actionable recommendations.
• Produce regular adoption reporting for programme leadership.
• Assess the pipeline of available agent use cases and map them to the right accounts based on delivery maturity, relationship context, and commercial fit.
• Work with PS delivery leads and the CRO's team to sequence agent deployment to maximize both delivery success and commercial value.
• Flag where use case demand exists in the field but is not yet met by the build programme, feeding that signal back into pipeline prioritization.
• Connect delivery outcomes (what agents are achieving, where they are creating measurable value) back into the commercial conversation with customers and prospects.
• Support the CRO and account teams with materials, case evidence, and data to make the commercial case for agent deployment.
• Work closely with the pricing and packaging workstream to ensure adoption data informs subscription and consumption model development.
• Serve as the primary interface between the build programme and PS delivery teams, translating what is being built into practical guidance for PS leads on how to deploy it.
• Develop enablement materials, playbooks, and onboarding guides for PS teams to confidently adopt agents without constant central support.
• Identify where PS capability gaps are limiting adoption and escalate or address accordingly.

Requirements

• Background in Professional Services delivery, ideally within enterprise SaaS, InsurTech, or a related sector with direct experience of delivery lifecycle management.
• Experience working with AI or data-driven tools in a deployment or enablement capacity.
• Sufficient technical literacy to understand what agents do and how they integrate into delivery workflows.
• Track record of building measurement frameworks, tracking adoption programs, or leading change management initiatives in complex organizations.
• Commercial exposure: comfortable engaging in account strategy conversations and translating delivery outcomes into commercial language.

Skills

• Enterprise software delivery
• Change management
• Commercial stakeholder engagement
• AI
• Data-driven tools
• Delivery lifecycle management
• Consultative credibility
• Analytical rigour
• Business fluency