skie.io

Turn Every Employee into a 10x Performer with AI

Deploy enterprise-ready GenAI applications in weeks, not years. Muse combines pre-built AI infrastructure with expert guidance to automate repetitive work and amplify human intelligence across your organization.

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70% faster incident resolution

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60% reduction in manual tasks

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2-4 weeks to first AI application

Your Teams Are Drowning in Repetitive Work

Every day, your highest-paid experts spend hours on tasks that could be automated:

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Engineers searching through past incidents and documentation

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Finance teams manually compiling reports from multiple sources

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Support staff answering the same questions repeatedly

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Operations copying data between systems

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Everyone context-switching between tools and losing productivity

Meanwhile, your competitors are using AI to do more with less.

Why Most Enterprise AI Projects Fail

Starting from scratch with infrastructure

Lacking AI expertise to identify use cases

Security and compliance concerns

No clear ROI or success metrics

Integration nightmares with existing tools

Introducing Muse

Your Fast Track to Enterprise AI Success

Muse is a complete AI automation platform that combines:

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Pre-built AI infrastructure

ready for enterprise scale

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Multi-LLM orchestration

using best model for each task

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Native integrations

with Teams, Slack, and your tools

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Expert AI consultants

to identify and build use cases

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Sprint-based delivery

for rapid value realization

The Muse Advantage

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Production-Ready Platform

Skip months of infrastructure setup with our secure, scalable AI landing zone

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AI Expertise Included

Our AI architects work alongside your team to identify and implement high-impact use cases

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Seamless Integration

Pre-built connectors to your communication and business tools

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Measurable ROI

Track productivity gains and cost savings from day one

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GenAI Security and Data Privacy

Enterprise-grade security with SOC2 compliance, data isolation, and role-based access controls to protect your sensitive information

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GenAI Cost Optimization

Smart model routing and usage monitoring to minimize AI costs while maximizing performance and output quality

Transform Every Department with AI

IT Operations: 70% Faster Incident Resolution

The Challenge:

Engineers spending hours researching similar issues

The Muse Solution:

AI enriches every incident with:

  • Similar past incidents and resolutions
  • Relevant knowledge base articles
  • Current monitoring status and dependencies

Plus:

  • Natural language queries across all documentation
  • Automated remediation for common issues
"Our MTTR dropped from 4 hours to 1.2 hours. Engineers now focus on prevention instead of firefighting." - Global Technology Company

Finance: Automated FP&A Reporting

The Challenge:

Days spent compiling data and creating reports

The Muse Solution:

AI generates draft reports with:

  • Multi-source data analysis
  • Variance explanations
  • Trend identification
  • Executive summaries

Plus:

  • Natural language queries for ad-hoc analysis
  • Automated insight generation
"What took 3 days now takes 3 hours, and the insights are deeper than ever." - Fortune 500 CFO

Customer Service: Zero-Touch Resolution

The Challenge:

Repetitive tickets consuming agent time

The Muse Solution:

  • RAG-powered knowledge retrieval
  • Natural language understanding
  • Automated action execution
  • Seamless handoff when needed
"40% of tickets now resolve without human intervention, and customer satisfaction increased 25%." - Major Service Provider

From Idea to Impact in 4 Sprints

Sprint 0 - Week 1

Assessment

  • Map your high-impact, repetitive processes
  • Identify quick wins and transformational opportunities
  • Build prioritized AI roadmap
  • Define success metrics
Sprint 1 - Weeks 2-3

Foundation

  • Deploy Muse platform in your environment
  • Configure LLM orchestration
  • Build and test first AI application
  • Integrate with your tools (Teams/Slack)
Sprint 2 - Weeks 4-5

Scale & Enhance

  • Launch to broader user group
  • Gather feedback and optimize
  • Add second use case
  • Implement advanced features (RAG, automation)
Sprint 3 - Week 6+

Production

  • Full production deployment
  • Performance monitoring and optimization
  • Knowledge transfer to your team
  • Plan next AI initiatives

Platform Architecture

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Secure AI Landing Zone

  • Private deployment in your cloud
  • SOC 2 Type II compliant
  • Data never leaves your environment
  • Role-based access control
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Multi-LLM Orchestration

  • Best model for each task
  • Cost optimization built-in
  • Fallback and redundancy
  • Latest models always available
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Enterprise Integrations

  • Microsoft Teams native app
  • Slack workspace integration
  • API gateway for custom apps
  • Webhook automation

The Muse Platform

Core Capabilities

Intelligent Orchestration

  • Route requests to optimal LLM
  • Manage token limits and costs
  • Handle rate limiting automatically
  • A/B test different models

RAG (Retrieval Augmented Generation)

  • Connect to your knowledge bases
  • Real-time data retrieval
  • Source attribution and compliance
  • Continuous learning from feedback

Automation Engine

  • Natural language to action
  • Multi-step workflow execution
  • Human-in-the-loop when needed
  • Audit trail for compliance

Analytics & Monitoring

  • Usage and cost tracking
  • ROI measurement dashboard
  • Performance metrics
  • User adoption analytics

Pre-Built Connectors

Communication Platforms

  • Microsoft Teams
  • Slack
  • Email (Outlook/Gmail)

Knowledge Sources

  • SharePoint
  • Confluence
  • ServiceNow
  • Custom databases

Business Systems

  • Salesforce
  • SAP
  • Workday
  • Custom APIs

Why Muse vs. Build Your Own

The Smart Path to Enterprise AI

Challenge DIY Approach Muse Solution
Infrastructure Setup 6-12 months 1 week
LLM Integration Complex custom code Pre-built orchestration
Security & Compliance Your responsibility Enterprise-ready
Use Case Identification Trial and error Expert guidance
Tool Integration Months of development Native connectors
Ongoing Optimization Dedicated team needed Managed service
Total Time to Value 12-18 months 2-4 weeks

Security & Compliance

Enterprise-Grade AI Security

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Data Privacy

  • Deployed in your cloud environment
  • No data training on your information
  • Complete audit trails
  • Zero data retention by LLMs
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Compliance Built-In

  • SOC 2 Type II certified
  • GDPR compliant architecture
  • AWS Well Architected
  • Role-based access control
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Governance Features

  • Prompt injection protection
  • Content filtering controls
  • Usage policies enforcement
  • Cost controls and limits