Glean Perspectives

Thoughts and insights from the team at Glean

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Why organizational context is a bottleneck for software engineers using AI tools

The Glean Team

July 3, 2026

Glean Waldo vs traditional AI cost latency and quality comparison

The Glean Team

July 3, 2026

How Waldo reduces latency and token usage without compromising quality

The Glean Team

July 3, 2026

Top 7 tools Waldo uses for effective information gathering

The Glean Team

July 3, 2026

Glean Waldo explained enhancing search efficiency with frontier LLMs

The Glean Team

June 4, 2026

Exploring Gleans approach search planning vs deep reasoning in AI

The Glean Team

June 4, 2026

How banks can evaluate AI tools for regulatory compliance

The Glean Team

June 4, 2026

General purpose AI vs enterprise AI key differences for banking knowledge management

The Glean Team

June 4, 2026

Key functionalities of AI knowledge platforms for financial institutions

The Glean Team

June 4, 2026

Implementing AI in banking key steps for workflow integration

The Glean Team

June 4, 2026

Key features of AI platforms for service and operations in banking

The Glean Team

June 3, 2026

All Posts

How consulting firms can leverage IP from RFP to renewal

How to build a reusable knowledge backbone for consulting success

How to enhance supply chain resilience with faster decision-making

What are the hidden costs of fragmented operational knowledge

How AI tools reduce ramp time for sales reps

How to align marketing and sales for successful GTM launches

How a knowledge layer enhances industry 4.0 beyond automation

How to build an AI incident response playbook for 2026

How utilities can capture retiring employee knowledge

How connected context enhances energy management decisions

Explaining token efficiency ROI and risk for executives

How intelligent model routing saves tokens in production AI

Key questions to evaluate vendor retrieval systems for quality context

How to optimize token efficiency in multi-step workflows

Key metrics for evaluating token efficiency in AI systems

Balancing token efficiency and answer quality in AI systems

Key features to evaluate in an AI context layer

Comparing retrieval routing and orchestration impact on token usage

How to measure business outcomes from token efficiency

Token efficiency vs. cost: making informed AI choices

Top AI assistants for leveraging company knowledge

Can an assistant draft OKR summaries? A step-by-step guide

How to use AI for creating technical documentation in 2026

Top 10 RAG assistants to enhance your workflow in 2026

Top AI assistants for accurate source citations

What architecture supports enterprise AI scale key components explained

What is the best work assistant 7 options to consider

Top AI assistants for document permissions management

Comparing unified AI solutions which one fits your needs

Top AI assistants for sales enablement 2026 comparison

Top 10 AI assistants for seamless work app integration in 2026

Glean vs Copilot key differences in enterprise AI tools

How to secure AI for sales data best practices

Top AI tools for automating marketing approval workflows

Top AI solutions for Salesforce Slack and Drive integration

Top 7 AI tools for streamlining RFP responses in 2026

Comparing Glean features and ChatGPT Enterprise capabilities

Integrating OpenAI models with enterprise AI a comparison

How Glean enhances AI workflow automation compared to ChatGPT

Choosing between Glean and ChatGPT Enterprise for flexibility

Understanding Glean's compliance features compared to ChatGPT Enterprise

Evaluating AI solutions long term ROI insights for enterprises

Which onboarding tools excel for enterprise customer support

Best platforms for employee satisfaction a user experience analysis

Which scalable technology fits your business growth needs

Best practices for software deployment in large enterprises

How Claude stacks up against leading secure AI solutions

User experience showdown Glean vs Claude for enterprise governance

How Glean's adaptability stacks up against Claude Enterprise

Understanding Glean's data protection vs Claude Enterprise

Understanding Glean and Claude Enterprise hosting architectures

Comparing software for faster time to value in enterprise teams

Top low-maintenance software solutions for 2026

Cloud vs. on-premise: which software scales better for your needs?

Comparing software solutions which is easiest to roll out

No-code vs. low-code: which is better for non-technical users?

How finance teams can evaluate Glean for revenue forecasting

How to ensure compliance in AI tools for financial planning

When to use AI assistants for finance reconciliation

The best AI tools for streamlining financial operations

Glean vs disconnected marketing tools key benefits for 2026

Key features to evaluate in AI tools for on-brand content

How to evaluate AI platforms for B2B and B2C marketing use cases

Enterprise AI tools vs. standalone writing assistants: key differences

What to look for in an AI platform for campaign planning

Understanding marketing system challenges and unified search solutions

How marketing teams can streamline asset searches across systems

How marketing teams ensure consistent messaging with AI tools

How to use AI tools for on-brand content creation at scale

How AI consolidates campaign data for actionable insights

How to integrate campaign data and customer sentiment in B2C marketing

How B2B marketing teams can use shared context for effective launch planning

What does full context mean for AI in marketing workflows

How AI can help marketing teams create campaigns faster

How to choose the right AI platform for finance integration

How AI reduces reconciliation time across finance tools

How cited AI outputs enhance security for finance teams

How finance teams can use churn signals to mitigate forecast risks

How finance teams leverage ERP and CRM for margin analysis