Connected glass modules representing a modular enterprise AI product.

AI Product Ideation & Planning

Turn an AI product idea into a practical delivery plan — identify users, compare costs, define useful features, and agree on quality checks, Microsoft platform choices, and ownership before development begins.

Start with the work

Clarify the business problem, intended users, current alternatives, and evidence that an AI feature would help.

How we deliver

Compare proposed use cases against data availability, integration effort, operating cost, and adoption needs. Prototype the strongest option and use feedback to define a realistic delivery scope.

What your team receives

A product brief, prioritized requirements, pilot business case, acceptance measures, dependencies, and a delivery roadmap. Deliverables, timing, and support are agreed for the engagement.

Plan the next step

We compare quality, current effort, implementation costs, and ongoing operation before recommending expansion. Important actions retain agreed approvals and a recovery path. Explore our related service, Microsoft technology stack, and delivery methodology, or discuss your workflow with WTA.

Insights & resources

Choosing the Right LLM for an Enterprise Workflow

The right language model fits a specific business task. Compare representative outcomes, review effort, cost, and deployment requirements, then document the evidence and responsibilities behind the selection.

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Taking Microsoft Foundry Agents to Production

Microsoft Foundry provides managed capabilities for building and operating agents. Production readiness still depends on the complete workflow: its permissions, business rules, evaluation, cost, recovery behavior, and the people responsible for support.

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Building Work IQ Agents for Microsoft 365

A Work IQ integration should connect an agent to the context needed for a specific task. Define the user's role, permitted actions, and review process before expanding access across documents, meetings, and collaboration tools.

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Explore Resources

Frequently Asked Questions

What does AI Product Ideation & Planning include?

A product brief, prioritized requirements, pilot business case, acceptance measures, dependencies, and a delivery roadmap. The scope defines ownership, prerequisites, and acceptance criteria before delivery begins.

How are access and important actions controlled?

We agree on approved data, user permissions, and tool access before implementation. Important changes retain human approval where needed. Testing covers unusual requests, failed integrations, recovery, and attempts to exceed permissions. The business and technical owners remain responsible for the deployed workflow.

How do we decide whether to expand?

Compare pilot evidence with the current process and agreed acceptance measures. Review task quality, completion time, errors, and the full cost of operation, including human review and support. Expand only when results justify it, with clear ownership and a practical recovery plan.