US Foods built the Automated Order Guide generative AI application on Amazon Bedrock to reduce manual work and help sales teams personalize sales pitches.The solution uses Amazon Bedrock with Anthropic Claude and Amazon Textract, was piloted before production, and was rolled out to 3,300 sellers.
Use case type
Sales enablement
Sales enablement groups 3 documented AI deployments in the AI Use Case Hub. Adoption so far spans Finance, Consumer & Food and Manufacturing, led by United States. Teams most often build it with Microsoft Azure and Microsoft 365 Copilot. Browse the company examples below to see how teams put it into production.
Use cases
3
Examples
3
Industries
3
Timeline
3 mo
Data updated 1 day ago
Adoption over time
Documented cases per month
By case publish month · completed months only
2 cases documented across 17 months (Feb 25 – Jun 26), peaking at 1 in February 2025.
1 so far in July 2026 (in progress, not charted)
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
Use cases of this type
3 shown from 3 use cases
MicrosoftJun 25, 2026
AI-powered Sales Excellence agent cuts sales search time and accelerates onboarding for a North American industrial distributor
A leading North American industrial distribution enterprise with 330,000+ customers and 900+ sellers faced fragmented sales knowledge across product, pricing, policy, CRM, and onboarding systems.LTM deployed an AI-powered Sales Excellence conversational agent that unifies playbooks, pricing guidance, CRM workflows, onboarding journeys, collateral, and compliance policies into a single role-based experience.The solution provides governed, contextual guidance through Microsoft Teams and automates sales onboarding and enablement with natural-language assistance.
MicrosoftFeb 25, 2025
BNY Mellon Bank Manages Armies of AI Agents for Financial Services Automation
BNY Mellon is updating its AI tool Eliza into a multi-agent resource for sales representatives and customer engagement.The bank uses a multi-agent architecture with about 13 agents that negotiate with each other to produce product recommendations based on client, segment, and product data.BNY built a framework around the agentic system and used AutoGen and LangChain to ground responses and make the agents more deterministic.
Common questions
Sales enablement at a glance
- How many sales enablement use cases are documented?
- The AI Use Case Hub documents 3 real sales enablement deployments across 3 industries, with 3 detailed company examples you can browse.
- Which industries adopt sales enablement the most?
- Sales enablement is most common in Finance (33%), Consumer & Food (33%) and Manufacturing (33%).
- Which countries lead in sales enablement?
- United States leads documented sales enablement deployments.
- What technologies are used for sales enablement?
- Teams most often build sales enablement with Microsoft Azure, Microsoft 365 Copilot and AutoGen.
- What AI capabilities power sales enablement?
- Across the documented deployments, the most common capability patterns are Agent (33%) and Multi-agent (33%).
- What results do companies report from sales enablement?
- Across the 3 deployments reporting outcomes, companies most often cite cost efficiency (67%), speed & agility (33%) and better decisions & insight (33%). Where impact is quantified, the strongest evidence is in time & speed: a median −25% across 1 reported metric.