Normalized claim
Time: 65% decrease
Atomicwork achieved 65% support deflection within 6 months and 75% faster response times.
Last evidence check: Jul 22, 2026
Global Enterprises Accelerate Productivity and Efficiency with AI Agents
Use case typeCustomer support automationUpdated Jun 13, 2026
This article explores how a range of leading companies are deploying Microsoft AI technologies—especially agentic AI and Copilot Studio—to drive transformation across industries. Atomicwork achieved a 65% deflection rate by automating digital workplace support while BDO Colombia halved operational workloads through a finance-specific Copilot agent. Dow automated global shipping invoice analysis with Copilot Studio agents, leading to millions in savings, and Eneco Belgium improved their customer chatbot’s conversation handling by 140%. Estée Lauder designed a marketing insight agent to make trend data instantly available, and Fujitsu deployed AI-driven sales automation with a 67% productivity boost. Grupo Bimbo adopted Power Platform to automate thousands of apps and processes, substantially reducing operational overhead. KPMG used AI for compliance automation, Virgin Money introduced a customer-facing digital agent, and Wells Fargo’s internal Teams agent cut response times dramatically. These real-world implementations showcase measurable improvements in efficiency, customer experience, and decision-making, all powered by Microsoft’s AI ecosystem.
- Organization
- Atomicwork
- Industry
- Professional Services
- Location
- United Kingdom
- Published
- April 2025
Reported outcomes
+140%
quantified impactOther quantified impact
−65%time+75%time−50%quantified impact−78%quantified impact+70%quantified impact
Strategic outcomes
Scale & capacityAutomated thousands of apps and processesCost efficiencyReduced operational workloads substantiallyCustomer experience & trustImproved customer conversation handlingSpeed & agilityDramatically faster support response
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time: 75% increase
Atomicwork achieved 65% support deflection within 6 months and 75% faster response times.
Last evidence check: Jul 22, 2026
Normalized claim
Quantified impact: 50% decrease
BDO Colombia’s agent cut operational workloads by 50% and automated 78% of internal processes.
Last evidence check: Jul 22, 2026
Normalized claim
Quantified impact: 78% decrease
BDO Colombia’s agent cut operational workloads by 50% and automated 78% of internal processes.
Last evidence check: Jul 22, 2026
Normalized claim
Quantified impact: 140% increase
Eneco’s new agent managed 140% more customer conversations, automating 70% of cases.
Last evidence check: Jul 22, 2026
Normalized claim
Quantified impact: 70% increase
Eneco’s new agent managed 140% more customer conversations, automating 70% of cases.
Last evidence check: Jul 22, 2026
Normalized claim
Revenue: 67% increase
Fujitsu sales automation boosted productivity by 67%.
Last evidence check: Jul 22, 2026
Normalized claim
Time: 10 minutes
Wells Fargo slashed internal support response from 10 minutes to 30 seconds for 4,000 branches.
Last evidence check: Jul 22, 2026
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Atomicwork, BDO Colombia, Dow, Eneco, Estée Lauder, Fujitsu, Grupo Bimbo, KPMG, T-Mobile, Virgin Money, Wells Fargo
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- Microsoft Blog
Atomicwork achieved a 65% deflection rate by automating digital workplace support while BDO Colombia halved operational workloads through a finance-specific Copilot agent
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 8
- 1digital support agent
- 2finance automation agent
- 3supply chain document automation
- Companies faced rising operational costs and complexity in service delivery.
- Internal support and finance teams grappled with large volumes of requests and inefficiencies.
- Manual processing of supply chain documentation led to hidden losses and delays.
- Chatbots underperformed and failed to handle increasing conversational loads.
- Marketing and sales teams suffered from slow, fragmented access to data and insights.
- Compliance programs and onboarding processes consumed excessive resources in regulated industries.
- Deployed Azure AI Foundry and Copilot Studio to build autonomous workplace and service agents.
- Developed specialized Copilot agents centralizing payroll, finance, and HR operations (BDO Colombia) and automating shipping invoice checks (Dow).
- Used Copilot Studio’s no-code platform to create new, more capable chatbots (Eneco) and consumer data agents (Estée Lauder).
- Leveraged Azure OpenAI Service and Power Platform for 7,000+ apps and hundreds of digital agents (Grupo Bimbo).
- Adopted agent-based compliance monitoring (KPMG), sales automation (Fujitsu), and digital customer service hosts (Virgin Money, Wells Fargo).
- Atomicwork achieved 65% support deflection within 6 months and 75% faster response times.
- BDO Colombia’s agent cut operational workloads by 50% and automated 78% of internal processes.
- Dow projected millions in annual savings via automated invoice analysis.
- Eneco’s new agent managed 140% more customer conversations, automating 70% of cases.
- Fujitsu sales automation boosted productivity by 67%.
- Grupo Bimbo saved tens of millions of dollars annually by automating operational processes.
- Wells Fargo slashed internal support response from 10 minutes to 30 seconds for 4,000 branches.
Architecture
Most cases detail agent creation using Copilot Studio or Azure AI Foundry. E.g., Atomicwork’s Atom agent integrates with Teams and enterprise tools, leveraging Azure AI for unified service delivery; Dow employs two Copilot Studio agents—one scanning shipping invoices and surfacing them on dashboards, another providing natural language interaction for further investigation. Grupo Bimbo’s deployment involved creating thousands of agents and apps on Power Platform after migrating to Azure. Wells Fargo uses a Teams-based agent—backed by large language models—to aggregate and retrieve internal procedure guidance for employees.
Sources & evidence1
Evidence: Medium60/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Quantified outcome available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
ExpandedExpanded
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2026.
- 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: Apr 28, 2025Publisher: Microsoft BlogEvidence: VendorConfidence: Medium
AI-generated summary. Verify important details with the linked sources before relying on this case.
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