AI Implementation Analyst (Apprentice)

Turn AI opportunities into implemented, adopted and measurable business outcomes by combining business transformation with hands-on agent and automation delivery.

In this apprenticeship role, you will support business analysis, workflow improvement, rapid prototyping and the practical implementation of AI and automation tools. Working across different functions, you will help discover opportunities, understand requirements, map and redesign workflows, prototype simple solutions, support the deployment of AI agents and automations, and contribute to measuring the value delivered.

You will learn from executives, technical colleagues and frontline teams, gaining hands‑on experience with Microsoft Copilot Studio, Microsoft 365 Copilot, Power Platform, Vibe Coding tools and other emerging AI technologies. With guidance, you will help turn ideas into working, governed and accessible solutions that improve productivity and streamline digital processes.

This is not a traditional project management, change management or data science role. It is a practical implementation role for someone who can move from a business need to a tested, documented and adopted automation. As your capability grows, you will help Eque2 progress from isolated experimentation to repeatable, operationalised AI delivery, while supporting the AI Centre of Excellence and Champion Network.

What Success Looks Like

• Support the building and deployment of AI agents and automations that solve defined business problems
• Assist with configuring, testing and refining low/no‑code automations and simple AI agents under guidance from senior colleagues. Contribute to turning business requirements into working, accessible and responsibly‑implemented solutions.
• Contribute to a repeatable approach for discovering, assessing and prioritising AI opportunities
• Help review workflows, map processes and identify inefficiencies. Support the assessment of viability, risks, data quality and user needs to ensure opportunities are responsibly prioritised.
• Assist in maintaining a visible pipeline of prioritised initiatives across business functions
• Support the organisation in documenting opportunities, tracking progress and communicating updates to stakeholders. Help ensure transparency and alignment with business goals.
• Help deliver measurable productivity, efficiency, quality, customer or commercial improvements
• Contribute to testing, iteration and refinement of solutions. Assist with collecting data, reporting outcomes and evidencing improvements achieved through automation.
• Support sustained adoption while maintaining appropriate governance, security and control
• Help produce user guides, training materials and accessible documentation. Assist colleagues during onboarding and adoption of new tools. Contribute to responsible, ethical and secure implementation practices.
• Contribute to the development of Eque2’s AI Centre of Excellence and Champion Network
• Participate in knowledge‑sharing, peer learning and community activities. Support colleagues by sharing insights, documenting learning and helping promote responsible AI adoption across teams.
• Help demonstrate clear, evidenced value from AI investment and convert learning into reusable patterns

AI Opportunity Discovery

• Engage teams across Eque2 to understand business challenges, processes and opportunities, with support from senior colleagues.
• Assist in planning structured AI discovery workshops.
• Identify pain points, bottlenecks, repetitive work and avoidable friction through guided process reviews.
• Support the assessment and prioritisation of use cases based on value, feasibility, readiness, risk and reuse potential.
• Help translate business needs into clear, simple implementation plans and measurable outcomes.

AI Solution Design and Build

• Support the design, build, testing and deployment of AI agents using Microsoft Copilot Studio.
• Use Vibe Coding and AI‑assisted development tools to help turn natural‑language requirements into prototypes, scripts and workflow solutions.
• Assist in developing copilots, agents and workflow automations integrated with Microsoft 365 and relevant business systems.
• Configure prompts, instructions, knowledge sources, actions, workflows, connectors and integrations under guidance.
• Prototype rapidly to test user need, feasibility and expected value before scaling.
• Review, test and refine AI‑generated outputs, escalating security, architecture or integration risks where specialist support is required.
• Produce proportionate documentation and handover materials.
• Work with internal technical teams and specialist partners when deeper architecture, integration or engineering is needed.

Business Analysis and Process Transformation

• Support analysis of current processes, workflows, controls, information flows and decision points.
• Contribute to redesigning work so that AI augments people, reduces friction and releases capacity for higher‑value activity.
• Gather and document functional and non‑functional requirements.
• Help produce use cases, process maps, solution designs, implementation specifications and acceptance criteria.
• Support embedding new solutions into operational processes, roles and ways of working.

Change, Adoption and Benefits Realisation

• Help build stakeholder ownership and support behavioural adoption from discovery through to operational use.
• Assist with communications, training, guidance and activities within the AI Champion Network.
• Support defining baselines, success measures, benefit hypotheses and benefit owners before build.
• Monitor adoption, utilisation, quality and business outcomes after deployment.
• Use evidence and user feedback to help improve, scale, pause or retire solutions.

Governance and Continuous Improvement

• Maintain accurate records of use cases, agents and benefits portfolios.
• Apply Eque2’s AI governance, risk, data protection, security and approval requirements.
• Contribute to reusable standards, components, delivery patterns and good practice.
• Help ensure solutions remain aligned with business priorities and deliver intended outcomes.
• Escalate delivery, data, operational and ethical risks early and clearly.