New opportunity

AI Adoption & Enablement Consultant – AI Literacy & Copilot

Latent Bridge · Pune City, India

About this role

Latent Bridge seeks an AI practitioner and enterprise adoption consultant in Pune to lead organization-wide AI literacy, adoption and enablement programs for clients. The role combines AI expertise, consulting and hands-on delivery rather than conventional training. Success means helping organizations build AI capability, embed AI into workflows and measure business impact.

Responsibilities

Independently own programs from strategy and governance through curriculum design, delivery, assessment and adoption measurement.
Advise senior business and technology stakeholders on AI strategy; work with IT teams on Copilot adoption and conduct hands-on workshops for business users.
Create original learning content and translate complex AI concepts into practical business applications, with a focus on responsible, sustained adoption.

Requirements

At least 10 years of overall professional experience, including significant experience in AI, digital transformation, technology consulting, enterprise enablement or related areas. The job-information section separately lists 12–15 years of work experience.
Practical knowledge of Generative AI and enterprise AI tools; hands-on experience with Microsoft Copilot or Microsoft 365 Copilot. Azure AI or broader Microsoft AI ecosystem experience is described as ideal.
Proven experience designing or leading enterprise AI adoption, literacy, workforce transformation or enablement programs, and working directly with senior business and technology stakeholders.
Understanding of Responsible AI, governance, security, privacy and enterprise AI risks; experience developing structured curricula, assessments and adoption frameworks.

This is a full-time consulting and enterprise enablement role.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

AI adoptionAI literacyEnterprise AI transformationGenerative AIMicrosoft CopilotMicrosoft 365 CopilotAzure AIResponsible AIAI governanceAI securityPrivacyAI risk managementAI strategyCurriculum developmentAssessment designWorkshop facilitationStakeholder managementDigital transformationAdoption measurement

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Own the adoption program end to end
The role calls for independent ownership from strategy and governance through curriculum, delivery, assessment and adoption measurement. Prepare to explain how those stages fit into one enterprise program.
Make Copilot useful in real work
Hands-on Microsoft Copilot or Microsoft 365 Copilot experience is required, and the consultant must demonstrate AI and run practical sessions with business users. Focus preparation on translating capabilities into workflow-relevant uses, not feature tours.
Build responsible use into enablement
The posting requires understanding of Responsible AI, governance, security, privacy and enterprise AI risks. Be ready to show how these considerations shape both program design and hands-on guidance.
Measure adoption beyond attendance
Latent Bridge says success is measured by AI capability, workflow adoption and business impact rather than the number of sessions delivered. Prepare to distinguish learning assessments from evidence of sustained use and outcomes.

Likely challenges to think through

Bridge executive strategy and employee practice
Likely preparation challenge: a CXO discussion, IT collaboration and a business-user workshop need different levels of detail without losing a coherent adoption goal. Prepare a single example that can be explained at each level.
Balance experimentation with safeguards
Likely preparation challenge: practical GenAI demonstrations need to be useful while respecting security, privacy and governance concerns. Prepare to explain how a workshop use case could encourage exploration without treating every use as appropriate.
Separate activity from impact
Likely preparation challenge: completions and attendance are easier to count than sustained workflow change or business value. Prepare a measurement approach that distinguishes assessments, adoption signals and outcomes, while acknowledging limits on attribution.

Practice your answers

Technical practice

How would you shape an organization-wide AI literacy and adoption program?

What to coverSuggested preparation: Explain how you would connect business goals to strategy, governance, curriculum, delivery, assessment and adoption measurement—the stages named in the role. Discuss how you would prioritize use cases and adapt the program as evidence of adoption emerges.

How would you explain Generative AI’s capabilities and limitations to business users?

What to coverSuggested preparation: Use a practical business application to explain where Generative AI can help and where human review remains important. Address trade-offs such as output reliability and the sensitivity of information entered into a tool.

How would you run a hands-on Microsoft Copilot workshop?

What to coverSuggested preparation: Describe a task-focused demonstration, participant practice and a way to check whether users can apply what they learned. Explain how you would keep the session grounded in useful work rather than a tour of features.

What would you discuss with IT before expanding Microsoft 365 Copilot adoption?

What to coverSuggested preparation: Cover the intended users and workflows alongside organizational security, privacy and governance considerations. Explain how you would identify readiness issues with IT without assuming a particular client configuration.

How would you build Responsible AI into an adoption program?

What to coverSuggested preparation: Describe how governance, security, privacy and enterprise AI risks would affect guidance for users and the choice of use cases. Distinguish between teaching a principle and checking that it is applied in day-to-day work.

How would you design a curriculum for audiences with different AI needs?

What to coverSuggested preparation: Explain how you would sequence foundational literacy, practical application and role-relevant exercises for senior stakeholders and business users. Discuss when original content is more useful than generic material, as the role calls for creating content from scratch.

How would you assess whether an AI literacy program has built capability?

What to coverSuggested preparation: Propose assessments that test understanding and practical application, not just attendance or completion. Explain how assessment results would guide changes to the curriculum and workshops.

How would you help a team embed AI into an existing workflow?

What to coverSuggested preparation: Walk through identifying a suitable task, testing the proposed use and defining where human judgment remains necessary. Address the trade-off between an attractive demonstration and a practice people can sustain.

How would you measure adoption and business impact?

What to coverSuggested preparation: Distinguish learning completion from use, workflow integration and outcomes—the progression emphasized in the posting. Explain how you would choose measures with a client, establish a baseline where possible and avoid attributing every change to AI.

How would you decide which enterprise AI capability to demonstrate for a use case?

What to coverSuggested preparation: Compare the fit of Microsoft Copilot or Microsoft 365 Copilot with other enterprise AI options using the task, user needs and governance constraints. The posting describes Azure AI and the wider Microsoft AI ecosystem as ideal experience; treat discussion of them as an optional way to show informed trade-offs.

Behavioural practice

Tell me about a time you aligned senior business and technology stakeholders on an AI or transformation goal.

What to coverSuggested preparation: Give the situation, explain the differing priorities and your actions to reach a workable direction, then state the result. Focus on how you connected strategic aims to practical delivery.

Describe a time you adapted a technical workshop for a business audience.

What to coverSuggested preparation: Set out the audience’s starting point, what you changed in your explanation or demonstration, and the result. Use a real example that shows how you checked understanding rather than relying on attendance alone.

Tell me about a program you owned from planning through evaluation.

What to coverSuggested preparation: Describe the scope, your decisions across delivery stages and the result you could observe or measure. Be precise about your own contribution and any limits on what the evidence showed.

Describe a time users were hesitant to adopt a new technology.

What to coverSuggested preparation: Explain the source of hesitation, how you responded and what happened afterward. Show how you balanced encouragement with legitimate concerns instead of treating adoption as an end in itself.

Tell me about a time you created learning content from scratch and improved it.

What to coverSuggested preparation: Explain the need, how you developed the material and what feedback or assessment led you to revise it. State the result using evidence available from that real situation.

Sharpen your knowledge

Topics to prepare

Generative AI in enterprise work
The posting requires practical Generative AI knowledge and the ability to translate complex concepts into business applications. Revise how a Copilot-assisted task works, where outputs can fail, and when human review is needed; explain each point using one business workflow.
Responsible AI and enterprise risk
The posting explicitly names governance, security, privacy and enterprise AI risks. Review a hypothetical employee use case and identify the data-handling questions, approval boundaries and review steps you would raise before adoption.
AI adoption and business impact
The role aims to move clients from AI awareness to sustained workflow use and measurable impact. Sketch an adoption framework that distinguishes participation, capability, actual use and business outcomes; explain what each measure does and does not show.
Strategy across stakeholder groups
The posting calls for conversations with CXOs, technology teams and business users. For one proposed Copilot use case, prepare three short explanations: the strategic value for an executive, implementation considerations for IT, and the workflow change for an employee.
Learning and assessment design
The role includes structured curricula and assessments, not just training sessions. Outline a short learning progression from AI concepts to responsible workflow use, with a practical assessment that tests application rather than attendance.

Skills to revise

Demonstrate Microsoft Copilot
Hands-on Microsoft Copilot or Microsoft 365 Copilot experience is an explicit requirement. If you have access, rehearse a short business-task demonstration: state the objective, show an initial prompt and refinement, then check the output and discuss its limits. If access is unavailable, prepare the demonstration plan without claiming hands-on practice.
Facilitate a business-user workshop
The posting expects hands-on workshops. Draft a 20-minute exercise in which participants try a relevant task, critique the result and decide whether it is safe and useful for their workflow; prepare prompts for discussion and a way to check learning.
Build an end-to-end program outline
The role requires independent ownership from strategy and governance through curriculum, delivery, assessment and adoption measurement. Create a one-page sequence of those stages, specifying one deliverable and one decision point at each stage.
Present a stakeholder recommendation
Senior business and technology stakeholder engagement is explicit. Practice a concise recommendation for a hypothetical Copilot adoption initiative covering the business objective, a sensible starting workflow, key risks, and how you would evaluate results; treat the scenario as interview preparation, not a stated client project.

Your preparation checklist

Select an enterprise adoption case
Prepare a walkthrough of a program you led or designed, covering strategy, governance, curriculum, delivery, assessment and adoption measurement. The role calls for independent ownership across this lifecycle; distinguish your actions from team contributions.
Build a Copilot demonstration
Prepare a short, hands-on Microsoft Copilot or Microsoft 365 Copilot example that turns a business task into a practical workflow. Explain the use case, what you would show users and where human review is needed; the posting emphasizes demonstrating AI, not just discussing it.
Draft a sample enablement plan
Sketch a proposed AI literacy program with audience-specific learning objectives, original workshop content, an assessment and a follow-up adoption approach. Present it as an interview exercise, not as a claimed Latent Bridge process.
Explain governance decisions
Prepare an example of how you would address Responsible AI, security, privacy and enterprise AI risks during adoption. Identify decisions for business and IT stakeholders and how you would communicate safe-use boundaries.
Show how you measure impact
Bring a concise example of adoption evidence or a proposed measurement framework that goes beyond session attendance to workflow use and business outcomes. Separate results you can substantiate from measures you would recommend.
Prepare stakeholder questions
Ask how client priorities, IT involvement and business-user needs shape these programs; which workflows are in scope; and how clients define sustained adoption and measurable impact. These questions reflect the role’s consulting and hands-on delivery responsibilities.

Availability last checked: 5 Nov 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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