Neurons Lab

Artificial Intelligence

• Deliver the client AI Adoption Programme end to end — from foundations through function-specific workshops — so that each team leaves with working Claude skills for their real fund-administration workflows and keeps building on their own.
• Adapt the agreed curriculum to real artifacts (fee schedules, deferred comp calcs, N-1A filings, fund highlights, board packs) collected during assessment
• Personally deliver the online half-day workshops to a mostly non-technical audience with mixed AI familiarity
• Design and run hands-on exercises: build 3 Claude skills live per function workshop using their own documents and SharePoint data flows
• Teach the 'team extends' method so staff can decompose their own workflows into skills after the workshop
• Run 1.5h office-hours sessions (1 week and 1 month post-workshop) and triage questions raised there
• Coordinate with the governance/platform engineer so foundations, governance, and function content stay consistent
• Collect feedback after each session and adjust the following sessions accordingly
• Escalate engineering-grade opportunities to the account team

AI Enablement Trainer – Head of BFSI Solutions

• Lead AI enablement across the group
• Conduct assessments: run structured assessments with each business team to map workflows, skills, and current AI usage before any enablement is planned.
• Find and solve pain points: collect the team's real pain points and use cases, prioritize them, and turn them into concrete enablement plans, working AI skills, or recommendations for specialist tools.
• Deliver concrete outcomes: ensure every workshop targets the team's own use cases and produces walk-away artifacts: working skills, prompts, and tools the team uses the next day.
• Activate champions: identify champions inside each team, work with them 1:1, and make their results visible to client leadership so momentum is seen at the top.
• Assess and track adoption KPIs: set realistic adoption targets per team, measure actual usage after each enablement cycle, and report progress transparently to the client and internally.

AI Education – Engagement Manager

Business Analyst

• Identify and validate high-value AI opportunities
• Rapidly prototype solutions
• Ensure implementations deliver measurable business outcomes
• Facilitate stakeholder workshops to identify and prioritize AI use cases
• Develop business cases with clear ROI models
• Document current workflows and pain points
• Design workflows for financial environments
• Create user stories and acceptance criteria
• Build functional demonstrations using no-code/low-code tools
• Develop testing methodologies for AI systems in regulated environments
• Manage stakeholder expectations throughout delivery
• Stay current on AI capabilities and new tools.

AI Enablement Trainer – Head of BFSI Solutions

AI Education – Engagement Manager

AI Business Analyst