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Microsoft stack fit

Decide before you scale.

Establish where Microsoft fits your work, where it needs complementing and where AI adds no useful value.

Who should be involved: AI and transformation leaders, CIO, process owners

How do you decide whether Microsoft is the right AI stack?

Microsoft platform selection is a business and operating decision before it is a product comparison. The useful question is which option can complete the required work with acceptable quality, access, integration effort and ongoing cost. Amplified Pi compares native capabilities, automation, agents and custom development against the existing process, including alternatives outside Microsoft and work that does not need AI.

When this is a good fit
A sponsor has a valuable task in mind but needs a defensible choice between Copilot, Power Platform, Copilot Studio and a custom solution.
Before you invest
Clarify the task, its owner and the cost of the current approach. If the process or source information is unreliable, resolve that uncertainty before funding a broader rollout.

The task determines the tools.

Task and intended outcome
Who needs what, using which information?

Value

Quality, effort and measurable improvement

Data and protection

Sources, access and consequences

Integration and operation

Systems, ownership and maintenance

Economics

Licences, consumption and ongoing costs

Microsoft fits
A mixed stack fits
An alternative fits
No AI is the better choice

Output: a reasoned decision and a bounded next step.

Existing licences are a starting point, not a predetermined answer.

What we work on

  • Map a small, agreed set of business tasks, users and information dependencies.
  • Compare native Microsoft capabilities, low-code, custom engineering and credible alternatives against quality, integration, control and operating cost.
  • Confirm tenant, licence, region, model and contractual assumptions with the relevant owners.

What you take away

  • A use-case shortlist with value hypotheses and explicit exclusions.
  • A stack decision record, including a mixed-stack or no-AI option.
  • A dependency map and cost assumptions for a scoped next engagement.

How we approach the work

A useful platform decision starts with one recognisable piece of work: who does it, what information it needs and what a good result looks like. We turn those observations into a scoped investment decision that business and technology owners can both defend.

  1. Describe the task and the baseline

    We interview the process owner, inspect an approved example and record where time, errors or handoffs arise. We separate a drafting task from an approval, a system update or a decision affecting a person. The sponsor defines which improvement would justify further work.

    What you receive

    A short use-case brief with an accountable owner and acceptance criteria.

  2. Compare the simplest credible options

    We examine native Microsoft 365 support for personal work, Power Platform for structured processes, Copilot Studio for a bounded agent and Foundry for a documented engineering gap. The comparison includes existing non-Microsoft tools and a no-AI option. We do not assume every layer is needed.

    What you receive

    An option matrix explaining the recommendation and rejected alternatives.

  3. Expose dependencies and full operating cost

    We review source ownership, integration access, licensing, consumption, support effort and required skills with the relevant owners. Recurring human review and maintenance belong in the cost estimate. Any unverified feature or contractual assumption is recorded before it influences the decision.

    What you receive

    A dependency register and cost model with explicit assumptions.

  4. Design the next decision

    The first engagement should answer a specific uncertainty. We agree a representative task sample, a spending boundary, exclusions and the evidence needed to stop, adjust or proceed. An attractive demo alone does not settle the decision.

    What you receive

    A bounded pilot brief with decision criteria and a named decision-maker.

The guidance behind the approach

Business value before product selection

Microsoft’s strategy guidance links priority use cases with build, buy or partner choices. We apply that principle through a comparison of realistic options, including improving the process without AI.

Reference: Microsoft: AI strategy and build/buy decisions

Security is part of suitability

Microsoft’s Zero Trust guidance connects explicit verification, limited access and preparation for compromise. For a platform decision, we translate these principles into questions about who can reach which information and perform which actions.

Reference: Microsoft: Zero Trust for Copilot

Illustrative example

Example: a recurring operations report

A team wants an agent to prepare its weekly report. We first check whether the information already exists in a reliable form and whether a scheduled workflow can assemble it. AI might help draft the commentary while the source figures remain deterministic. The next step tests that limited benefit before commissioning an autonomous reporting system.

What we need to get started

  • One process owner and a sponsor
  • Approved examples of the task and current workflow
  • Existing tools, licence assumptions and known restrictions

Questions before you begin

Does an existing Microsoft licence make Microsoft the right choice?

It reduces one potential barrier. It does not establish task fit, data readiness, quality or total cost. We compare the actual work and the responsibility for operating the result.

When does custom engineering make sense?

When an important requirement remains unmet by simpler options and its value supports the added delivery and operating burden. The gap should be described in a way that can be tested, rather than as a general wish for more flexibility.

Related modules

The decision at the end

A named sponsor and process owner accept one priority outcome, the decision rationale and the next investment boundary.

How progress is judged

Baseline task time, error or rework and current cost before selecting a pilot.

Scope boundary

This is an independent fit assessment. It does not promise that Microsoft is the preferred answer or include software licences.

Choose the next step from the evidence.

The next module depends on the constraint revealed by the work. You do not need to complete every module.

Explore the other modules

Product and policy references

  • Microsoft 365 Copilot requirements
  • Microsoft Foundry overview
  • Microsoft: AI strategy and build/buy decisions
  • Microsoft: Zero Trust for Copilot

Next step