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The Business Enablement Consultant is an embedded, hands-on advisor responsible for enabling frontline business users to adopt and effectively use approved Generative AI tools and low-code/no-code platforms.
The role focuses on practical, in-the-flow-of-work enablement rather than theoretical training or documentation, helping business users build real outputs using tools such as Microsoft Copilot, Claude , and the Microsoft Power Platform. The consultant acts as a translation layer between business needs and technology capabilities, rapidly delivering tactical solutions while shaping and escalating more complex requirements to core platform and engineering teams through defined governance processes.?
Work side-by-side with business users across varying seniority levels to identify workflow pain points and opportunities for Generative AI enablement. ? Provide desk-side guidance on live deliverables, enabling users to apply Generative AI directly to their day-to-day work. ?
Serve as a trusted advisor on how and where Generative AI can be safely and effectively applied within approved tooling and controls.? Design, test, and refine high-quality, workflow-specific prompts aligned to business use cases. ? Build and maintain reusable prompt libraries and solution patterns suitable for replication across teams.
? Guide business users in the responsible and governed use of tools such as Copilot and Claude, in line with enterprise policies.? Design and prototype low-code and no-code automations using approved platforms, including Power Automate, SharePoint-based workflows, and related Microsoft Power Platform services. ?
Support business users in understanding how to extend Generative AI solutions using low-code components rather than traditional development. ? Standardise and document successful solutions so they can be reused and rapidly deployed across similar workflows.? Build and configure lightweight AI agents using approved tooling such as Copilot Studio, where permitted.
? Ensure all agents and automations comply with governance, security, and data-handling requirements. Demand shaping and triage support ? Capture, clarify, and shape incoming business requests into clear problem statements and acceptance criteria.
? Support triage decisions by distinguishing between tactical enablement solutions and strategic platform needs. ? Prepare structured escalation inputs for handover to engineering or platform teams.?
Deliver targeted, workflow-based training sessions for business users and AI champions.? Support “office hours” and small-group sessions to drive confidence, adoption, and sustained usage. Governance, reporting, and artefact management ? Ensure all artefacts are stored in approved repositories and are auditable.
? Contribute to weekly operational updates and monthly insights reporting, including adoption trends and value indicators. ? Maintain awareness of risks, issues, and dependencies and flag them through established governance forums.?
Hands-on experience with Generative AI tools, particularly Microsoft Copilot and similar LLM-based assistants . ? Strong prompt engineering capability with the ability to tailor prompts to specific business workflows. ?
Practical experience building low-code/no-code solutions, preferably using Microsoft Power Automate, SharePoint, and related Power Platform tools. Business and consulting skills ? Strong ability to work directly with business stakeholders in the flow of work, translating needs into practical solutions. ?
Comfort operating in unstructured environments with evolving requirements and fast turnaround expectations. ? Ability to clearly explain AI concepts and tooling to non-technical users without oversimplification. Ways of working?
Comfortable working onsite with business teams while collaborating with offsite specialists as required.? Ability to operate within defined operating models, intake processes, and service-level expectations.? Experience enabling Generative AI or automation Within Financial Services, Investment Banking, or Similarly Regulated Industries. ?
Prior exposure to Managed Service Delivery Models with clear SLAs, KPIs, and reporting requirements.? Number of years’ experience: 2-3 years? Increased adoption of approved Generative AI tools across priority business workflows.? Reduced dependency on engineering teams for low complexity use cases.
? A growing, reusable library of prompts, agents, and enablement assets that accelerate future adoption.
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