Microsoft
conversational web agent for acquisition and activation on a company's own product pages
The Ask Microsoft web agent, built with Copilot Studio, makes Microsoft.com visitors ten times more likely to sign up, increases Azure product trials by 16%, and reduces human escalations by 70%.
Key points
- Ask Microsoft conversational web agent for acquisition on Microsoft.com.
- Built with Copilot Studio, generative orchestration and RAG over product content.
- Visitors 10 times more likely to sign up, +16% trials on Azure, -70% human escalations.
- Evidence B, confirmed status.
Objective
Turn navigation help on Microsoft.com into an acquisition lever. The Ask Microsoft agent answers visitors, steers them to the right offer, and raises the likelihood that they sign up or start a product trial, while reducing reliance on human chat.
The deployment
Microsoft built Ask Microsoft, a conversational web agent, with its own Copilot Studio, to help millions of visitors find information on Microsoft.com. The agent moved from rigid topic flows to a generative orchestration that understands intent and holds multi-turn conversations. A first agent was deployed in a few weeks, then extended to ten additional product sites at a pace of two per week. On the Azure pages it drives more trials; across the board, visitors who use it view more pages and sign up far more often.
Results Proof B
Official, quantified Microsoft case study on its own deployment (Ask Microsoft), with conversion and engagement metrics. A single substantial source (Microsoft customer story), corroborated by the same vendor's Copilot Studio documentation, hence a B rather than an A.
How it works
Documented architectureThe stack in detail
- plateforme Microsoft Copilot Studio Low-code platform used to build the Ask Microsoft agent, moved from rigid topic flows to multi-turn generative orchestration.
- llm Modeles generatifs de Copilot Studio LLMs built into the platform for intent understanding and response drafting; the exact model is not named in the customer story.
- outil RAG sur le contenu produit Microsoft.com Retrieval-augmented generation: the agent answers from indexed product documentation and steers to the right offer.
- infra Microsoft Azure Cloud foundation of the setup; the Azure product pages are also the scope of the 16% trials gain.
How it runs, concretely
For ops teams-
1Intent understanding AI
The generative orchestration interprets the visitor's natural-language request across multiple turns.
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2Answer and steering AI
The agent answers from product content and guides toward the right offer or SKU.
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3Prompt to trial or signup AI
On product pages, it pushes toward starting a trial or signing up for the service.
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4Extension to other sites Marketing / web team
The team replicates the agent on new product sites at a pace of two per week.
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5Conversion measurement Marketing / web team
Move to signup, trials started, and pages per session are tracked to steer the agent.
The intent expressed by the visitor and the indexed product content. Without up-to-date product content to query, the agent steers poorly and the conversion gain is lost.
How your customers perceive this type of use
Sourced studiesLes consommateurs n'acceptent pas les chatbots par defaut : 64% prefereraient que les entreprises n'utilisent pas d'IA dans leur service client (Gartner, 2024) et pres d'un utilisateur sur cinq du service client par IA n'en retire aucun benefice (Qualtrics, 2025). L'acceptation se construit sur trois conditions mesurees par Salesforce : savoir qu'on parle a une IA, pouvoir escalader vers un humain, comprendre la logique de l'agent.
Acceptance conditions
- Etre informe qu'on parle a une IA et non a un humain (pres de 75% le demandent, Salesforce 2024)
- Un chemin d'escalade clair vers un agent humain (45% plus enclins a utiliser l'agent IA, Salesforce 2024)
- Une logique de l'agent clairement expliquee (44% plus enclins, Salesforce 2024)
Red lines
- Rendre l'humain injoignable : c'est la premiere inquietude des consommateurs sur l'IA dans le service client (Gartner 2024) et 50% craignent que l'IA les coupe du contact humain (Qualtrics 2025)
- Remplacer le service client par l'IA sans alternative : 53% envisageraient de partir chez un concurrent (Gartner 2024)
Sources: Salesforce 2024 · Gartner 2024 · Qualtrics 2025
How to replicate
Inference, not sourcedData prerequisites
- indexable product content and documentation
- clear offer and SKU taxonomy
- analytics instrumentation on conversion
Org prerequisites
- a web/marketing team able to iterate on the agent
- governance of scope and tone
Possible stack
- low-code agent platform (Copilot Studio or equivalent)
- RAG engine over product content
- conversion analytics tool
The plan, step by step
- Step 1Scope a single product line, gather the corresponding content, and set a measurable conversion objective.Deliverable: Validated scope, product content corpus, and baseline KPI.
- Step 2Build the agent in the low-code platform, enable generative orchestration, and connect the product content.Deliverable: Working agent in pre-production.
- Step 3Test response accuracy, tone, and human escalation internally, and instrument conversion analytics.Deliverable: Validated agent with signup/trial tracking in place.
- Step 4Go live on a first site and compare signups and trials of visitors exposed to the agent.Deliverable: First conversion readout versus unexposed visitors.
- Step 5Replicate the agent on the other product sites at a steady pace, with the same measurement framework.Deliverable: Agents deployed in series and consolidated conversion reporting.
First step: Scope an agent on a single product line with the corresponding content and a measurable conversion objective.
Sources
- S1 Microsoft uses Copilot Studio to reshape customer experience and drive higher engagement Interested party archive pending
- S2 Microsoft Copilot Studio | Create AI Agents Interested party archive pending
An error, newer info, a source?
This page lives on its accuracy. If a figure has moved, if the deployment has changed, or if you have a higher-quality source, tell us. Every sourced correction is verified before publication.