Normalized claim
Time: 10 minutes decrease
Wells Fargo reduced routine search time for 35,000 bankers from 10 minutes to 30 seconds.
Last evidence check: Jul 22, 2026
Organizations Streamline Workflows and Innovation with Domain-Tuned AI Agents
Use case typeOnboarding automationUpdated Jun 13, 2026
Microsoft announced new Copilot Tuning and multi-agent orchestration in Microsoft 365 Copilot Studio, empowering organizations to build and fine-tune AI agents using domain-specific data, workflows, and processes. The low-code tools let non-data scientists create, deploy, and rapidly update custom AI agents. The release includes multi-agent orchestration, allowing agents to collaborate on complex cross-departmental workflows, such as onboarding and support, and integration with Azure AI Foundry so users can bring their models. Noteworthy customer examples: Wells Fargo reduced bankers' search time by 95% (10 min to 30 sec) via an agent serving 35,000 staff; T-Mobile uses agents to aggregate product data from over 20 sources instantly; HCLTech accelerated case resolutions by 40% and redeployed 30% of a 500-strong support team. Security and compliance are ensured via Microsoft Entra Agent ID and Microsoft Purview Information Protection. The ecosystem includes an Agent Store for discovery, a Teams AI library for multi-agent communications, and pro-code/low-code developer tools.
- Organization
- Wells Fargo
- Industry
- Tech & Comms
- Location
- United States
- Published
- May 2025
Reported outcomes
30 seconds
timeTime & speed
10 minutestime+40%quantified impact+30%quantified impact90%quantified impact
Strategic outcomes
New product / capabilityLaunched domain-specific AI agent tuningNew product / capabilityEnabled multi-agent workflow orchestrationRisk & complianceAdded enterprise AI security and identityEcosystem & partnershipsBuilt agent store and Teams integration
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time: 30 seconds decrease
Wells Fargo reduced routine search time for 35,000 bankers from 10 minutes to 30 seconds.
Last evidence check: Jul 22, 2026
Normalized claim
Quantified impact: 40% increase
HCLTech sped up case resolution by 40% and redeployed 30% of support staff to higher-value roles.
Last evidence check: Jul 22, 2026
Normalized claim
Quantified impact: 30% increase
HCLTech sped up case resolution by 40% and redeployed 30% of support staff to higher-value roles.
Last evidence check: Jul 22, 2026
Normalized claim
Quantified impact: 90%
Over 230,000 organizations—90% of the Fortune 500—are customizing agents using Copilot Studio.
Last evidence check: Jul 22, 2026
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Wells Fargo, T-Mobile, HCLTech
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- microsoft.com
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1custom copilot
- 2domain-specific AI agent
- 3multi-agent workflow automation
- Organizations need to tune large AI models to their unique processes and data for meaningful business automation.
- Traditional AI solutions require specialist expertise and slow deployment timelines.
- Workflows span multiple departments, demanding coordination across HR, IT, and marketing.
- Data security and regulatory compliance for AI agents are critical in enterprise environments.
- Copilot Tuning lets users create and refine domain-specific AI agents in Copilot Studio with minimal coding.
- Multi-agent orchestration allows teams of agents to collaborate, divide work, and manage complex workflows.
- Azure AI Foundry Model Integration allows organizations to bring their own AI models to Copilot Studio.
- Microsoft Entra Agent ID and Purview Information Protection provide robust enterprise security and identity.
- A developer toolkit, Agent Store, and Teams integration enable broad adoption and ease of agent deployment.
- Wells Fargo reduced routine search time for 35,000 bankers from 10 minutes to 30 seconds.
- T-Mobile aggregates product data from 20+ sources for rapid service response.
- HCLTech sped up case resolution by 40% and redeployed 30% of support staff to higher-value roles.
- Over 230,000 organizations—90% of the Fortune 500—are customizing agents using Copilot Studio.
Architecture
Agents are created, tuned, and orchestrated in Copilot Studio using low-code tools. Multi-agent workflows enable agents to collaborate, exchange data, and split tasks across departments (HR, IT, marketing); integration with Azure AI Foundry lets users bring external models for agent reasoning, while Entra Agent ID manages agent security, and Purview safeguards data across interactions. Agents are surfaced in Microsoft Teams and through an Agent Store.
Sources & evidence1
Evidence: Medium45/100Evidence strength
- Customer explicitly identified
- Quantified outcome available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
Live sourceStill referenced
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Type: Blog PostPublished: May 19, 2025Publisher: microsoft.comEvidence: VendorConfidence: Medium
AI-generated summary. Verify important details with the linked sources before relying on this case.
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