# Agentic Support Services: Benchmarking Enterprise Software Customer Help

> This benchmark assesses how major enterprise software vendors are implementing agentic AI in customer help today.

- Canonical: https://trial.futurumgroup.com/research-reports/agentic-support-services-benchmarking-enterprise-software-customer-help/
- Kind: Research Report
- Published: 2025-09-22T16:09:48.000Z
- Updated: 2026-08-07T19:28:50.000Z
- Authors: [Keith Kirkpatrick](https://trial.futurumgroup.com/keith-kirkpatrick/), [Nick Patience](https://trial.futurumgroup.com/nick-patience/)
- Practice areas: [AI Platforms](https://trial.futurumgroup.com/practice-areas/ai-platforms/), [Enterprise Software](https://trial.futurumgroup.com/practice-areas/enterprise-software-digital-workflows/)
- Tags: Agentforce, Agentic AI, Amazon Q, Atlassian Intelligence, customer help, customer support, customer-zero, Google Agentspace, governance layer, Intercom Fin AI, LLM orchestration, Microsoft Copilot, RAG, reasoning engine, SAP Joule, ServiceNow Now Assist
- Access: The full report, its underlying data and the analyst time behind it are available to Futurum clients. The body served here is the report’s public summary and is free to read, quote and cite with attribution.

Agentic AI is reshaping enterprise support—but amid the hype, buyers still need clear proof of value and safety. This benchmark study cuts through the noise by evaluating how leading software vendors deploy agentic help today, what “agentic” truly means in practice, and where governance and reasoning layers separate production-ready systems from basic LLM chat. Using a transparent methodology, Futurum Research defines agentic AI interactions (independence, adaptability, action, and learning) and assesses real-world help experiences across a competitive set including Adobe, Atlassian, AWS, Google Cloud, IBM, Intercom, Microsoft, Oracle, Salesforce, SAP, and ServiceNow. We score solutions on traffic and transaction estimates, the presence and coverage of governance and reasoning layers, and analyst rankings for automation depth, task handling, integration ability, and outcomes. Findings show agentic help is early—but accelerating—especially where vendors use a “customer-zero” approach to prove ROI on their own help sites. In our Full Agentic Ranking Model, completed in partnership with Salesforce, Agentforce on Help leads with enterprise-grade governance plus a reasoning engine and recently surpassed 1M monthly support requests handled by agents, while several peers advance with narrower stacks grounded to knowledge bases. In this market study report, you will learn: The working definition of agentic AI for enterprise help—and why governance and reasoning layers matter. How vendors operationalize “customer-zero” to validate value, quality, and scale. The competitive landscape across 11 vendors and where each is investing. The evaluation criteria: traffic and transaction estimates, governance/reasoning coverage, and analyst outcome scores. Results highlights, including Salesforce’s leadership on full agentic volume with safety and accuracy controls. Download the report to see the rankings, criteria, and what “good” looks like for safe, scalable agentic support.