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AI Readiness

Explore where AI can help and what it will take.

We assess where copilots and agents could support your CRM and business tasks, what needs to be ready, and how to plan a pilot with clear measures.

Exploring Copilot or AI agents?

For teams choosing their first use case or checking what needs to be ready before moving an idea into a pilot.

Business, data, security and change leaders assessing responsible AI readiness together
Nemely delivery view

Your AI readiness

  1. Useful tasks and clear limits
  2. Data, access and controls
  3. Pilot planning and evaluation

A few organizations we've worked with

What’s included

Start with useful work and clear responsibilities.

We look at the business need, the information AI can use and how people will check and operate it.

Process owners prioritizing human-centered CRM and agent use cases
What we work towards

Work + value + boundaries

01 / Start with the work

Choose a useful starting point

Identify a task where AI could help, then assess its value, risks and the decisions people must keep.

  • Users, tasks and measurable outcomes
  • Use cases ranked by value and feasibility
  • Human decisions and limits on AI actions
Data, security and architecture specialists examining AI grounding and permission foundations
What we work towards

Grounding + access + control

02 / Prepare the foundations

Check data, access and controls

Review what the copilot or agent can use and do, and what your systems and teams need to support it.

  • Data quality, reliable sources and ownership
  • Permissions, connectors and security controls
  • Governance, environments and ongoing operations
Representative users and product owners evaluating an AI pilot with human review
What we work towards

Pilot + evaluate + learn

03 / Prove responsible value

Plan a pilot people can evaluate

Set out a focused trial with clear measures, representative users and checks for both useful and unexpected results.

  • Scenarios, evaluation criteria and failure handling
  • Human review, feedback, monitoring and escalation
  • Roles, skills, training and adoption needs

This service covers assessment and planning for a pilot. We agree the products, use cases and review depth with you; building or running a pilot and implementing improvements are scoped separately.

How we work

From an AI idea to an informed next step.

  1. 01

    Choose the use case

    Agree the task, users, intended outcome and limits on what AI may do, then compare starting points.

  2. 02

    Assess readiness

    Review data, permissions, governance, systems and the skills and operations needed to support the use case.

  3. 03

    Design the evaluation

    Plan representative scenarios, success measures, human review and the response to failures for a focused pilot.

  4. 04

    Agree the next steps

    Prioritize gaps, owners and the work needed for a pilot, adoption and any later release.

What you take away

A clear view of readiness. A practical next step.

We agree the outputs around your use cases. Findings identify what to improve and test; they do not certify compliance or guarantee AI outcomes.

  1. 01

    Prioritized use cases with intended outcomes and limits on AI actions

  2. 02

    Data, permissions, security and system readiness findings

  3. 03

    Findings on governance, operations, skills and adoption

  4. 04

    A pilot and evaluation plan with human review and failure handling

  5. 05

    Prioritized improvements, responsibilities and criteria for the next step

FAQs

Your questions, answered.

A few practical answers before we talk about your project.

Which AI technologies does the assessment cover?

The scope can include Dynamics 365 copilots, Microsoft 365 Copilot, Copilot Studio agents, Power Platform automation and custom agents. We agree which products and use cases are relevant to your decision.

Do we need a specific AI use case first?

Not necessarily. We can help identify and prioritize use cases. The assessment then focuses on a real task, its users, the intended outcome and the risks involved.

What affects the cost and timing of the assessment?

The use cases, products, available data and depth of investigation shape the work. We agree scope with the business, IT, data, security and change colleagues involved, including the information and time needed from your team.

How do you assess data, security and compliance risks?

We review relevant data sources, quality, ownership, sharing, least-privilege access and connector behavior for the intended use case. This identifies readiness gaps; it is not a security certification, penetration test, formal compliance or privacy impact assessment, or legal advice. Specialist security, privacy or legal review may also be needed.

How do you judge AI quality and value?

We define representative scenarios, expected behavior, acceptance criteria and failure categories for a pilot, combining structured evaluation with human review. AI outputs can vary, and an assessment does not guarantee business value. A pilot must demonstrate value with representative users, credible measures and an operating approach the team can sustain.

What happens after the assessment?

The findings may point to data or access improvements, governance work, training, process changes, a focused pilot or a decision to pause. Building and running a pilot, implementing a solution or providing ongoing support are separately agreed work.

Start a conversation

Let’s find your next step with AI.

Tell us which work you want to improve, who would use the AI and what feels uncertain about your data, systems or readiness.

Discuss your AI readiness
Stefan Christiansson, CEO & Solutions Architect at Nemely, beside a blue-framed window with a city backdrop
Stefan ChristianssonCEO & Solutions Architect

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