Sales ops · Production

Motive uses Glean to deploy 3,400+ agents, saving thousands of hours weekly across sales, HR, and beyond

The problem

As Motive scaled, employees struggled to access knowledge across disconnected applications; constant context-switching impaired focus and productivity. The company set an ambitious goal of boosting productivity by 50% and needed to democratize AI access while maintaining strict security guardrails.

Workflow diagram · grounded in source
1
Enterprise knowledge graph setup
integration
“Glean provided Motive employees with quick and relevant answers sourced from a comprehensive knowledge graph of their entire enterprise”
2
Glean Assistant knowledge search
ai_action
“The launch of Glean Assistant further elevated the efficiency of knowledge discovery at the company, enabling users to prompt and leverage powerful new models securely when searching for information and solutions”
3
HR self-review agent
ai_action
“It reviews employee job architecture matrices, past performance reviews, project documents, and Slack and meeting transcripts. It then provides suggested areas of improvement and critical thinking questions for an employee to consider. T…”
4
GTM account planning agent
ai_action
“it accelerates account planning for strategic customers by synthesizing external signals (such as recent news), structured CRM data from Salesforce, and unstructured inputs from tools like Slack, Fellow, and Google. What once took three …”
5
Sales content agent
ai_action
“Drawing from nearly 80 pieces of Motive's sales content, this agent helps sellers quickly tailor high-quality emails, discovery questions, and talk tracks that align with Motive's sales methodology and best practice frameworks. Estimated…”
6
AI Labs iteration loop
feedback_loop
“AI Labs, where employees across functions propose and prototype AI agents tied to real business outcomes. Participants estimate expected impact, then collaborate live with subject-matter experts to refine performance and applicability.”
Reported outcome

Motive deployed over 3,400 Glean agents, with a 75% decrease in time building account plans.
The GTM account planning agent cut planning from three days to two hours; the HR self-review agent saved 60–90 minutes per run across 1,100 runs in its first cycle; and the sales content agent saved an estimated 60 minutes per run—with thousands of hours saved per week across multiple AI tools and over 55 quantified outcomes in six months.

Reported metrics
Agents deployed2000+
Decrease in time building account plans75%
Glean agents created in first 6 weeks500
total Glean agents created3,400+
Show all 11 reported metrics
agents deployed2000+
decrease in time building account plans75%
Glean agents created in first 6 weeks500
total Glean agents created3,400+
HR self-review agent time saved per run60-90 minutes
HR self-review agent runs in first cycle1100
account planning cycle timethree days now requires just two hours
sales content agent time saved per run60 minutes
quantified outcomes from AI Labs55+
hours saved per weekthousands of hours saved per week
productivity boost goal50%
Reported stack
GleanGlean AssistantAgent BuilderSalesforceSlackFellowGoogle
Source
https://www.glean.com/resources/customer-stories/motive
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Motive deployed over 3,400 Glean agents, with a 75% decrease in time building account plans.

What tools did this team use?

Glean, Glean Assistant, Agent Builder, Salesforce, Slack, Fellow, Google.

What results were reported?

Agents deployed: 2000+; Decrease in time building account plans: 75%; Glean agents created in first 6 weeks: 500; total Glean agents created: 3,400+ (source-reported, not independently verified).

How is this sales ops AI workflow structured?

Enterprise knowledge graph setup → Glean Assistant knowledge search → HR self-review agent → GTM account planning agent → Sales content agent → AI Labs iteration loop.

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