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SAAF Pitch Deck for Product Partners

  • Aug 4
  • 3 min read

Built for productivity, backed by strategy, and ready to scale.

Whether you’re drafting content, resolving support tickets, or navigating complex documentation, today’s AI tools can help you work faster, make better decisions, and reduce manual effort—without disrupting your workflows.


Why AI-Powered Workflows?

AI is no longer experimental—it’s operational. With the right AI assistant, your teams can:

  • Find answers instantly across your tools and documents

  • Draft content quickly, from test plans to meeting summaries

  • Generate tickets, guides, and checklists on demand

  • Accelerate onboarding and change management for new teammates

  • Reduce time spent searching, rewriting, or duplicating work


AI helps our team work smarter, not harder. It’s our first stop for answers and content creation.” — Head of IT, Mid-Market Tech Company


What AI Can Deliver in 30 Days

  • 30% reduction in documentation time

  • 50% faster onboarding for new support agents

  • 40% fewer internal “Where do I find…?” questions

  • 3× improvement in knowledge reuse across teams


What Makes Enterprise-Grade AI Different?

AI Feature

What It Means for You

Privacy-first design

Keeps your data scoped and secure

Federated search

Surfaces insights across tools like Confluence, Drive, or Teams

Contextual understanding

Connects dots between your docs, tickets, and knowledge bases

Built into your ecosystem

Minimal integration or training needed

Retrieval-Augmented Generation (RAG)

Reduces hallucinations and keeps outputs on-topic

Enablement support

Adoption frameworks and training resources included

Who This Helps—and How

Role

Challenge

AI Advantage

IT & CIOs

Tool overload, unclear ROI

Native features + governance frameworks for scale

Support Leaders

High turnover, onboarding drag

Drafts workflows and support content automatically

Product Ops

Repetitive documentation tasks

Auto-generates specs, templates, and Q&A content

Use Cases That Drive Results

IT Operations

  • Instantly access runbooks, escalation paths, and SOPs

  • Auto-generate internal troubleshooting content

  • Shorten onboarding timelines for new staff

Customer Support

  • Draft ticket responses using company policy

  • Search across knowledge articles and past tickets

  • Improve CSAT and reduce handle time

Product & Engineering

  • Create story templates, test cases, and definitions of done

  • Speed up sprint planning and grooming

  • Reuse documentation with AI assistance

Knowledge Management

  • Search SOPs using natural language

  • Reduce duplication and improve internal transparency

  • Keep content fresh with minimal manual upkeep


How AI Fits Into Your Strategy

Modern AI adoption isn’t just about tools—it’s about behavior, process, and scale. Use frameworks like the Scalable AI Adoption Framework (SAAF) and Personal AI Adoption Framework (PAAF) to:

  • Start with low-risk, high-impact use cases

  • Build AI literacy and trust across teams

  • Scale responsibly with ethical guardrails

  • Sustain adoption through enablement and governance


Getting Started With Enterprise AI

Step

What You Need

Discovery

Use case exploration + AI readiness assessment

Pilot Launch

Quick-start deployment + live training + feedback

Scale Plan

Governance structure, adoption metrics, role maps

Ongoing Growth

Enablement cycles, mentoring, and optimization

Why Partner With Us?

We bring the tools, frameworks, and experience to help you launch AI with clarity, confidence, and results.

  • Industry-aligned AI strategy and implementation

  • Deep enablement expertise (SAAF + PAAF)

  • Support for technical and non-technical teams

  • Trusted by organizations in healthcare, education, and nonprofit sectors


How to Customize for a Specific AI Tool

  1. Replace feature references with the specific capabilities of the tool (e.g., replace “RAG” if the tool doesn’t use it).

  2. Name the AI product clearly early in the document.

  3. Adjust examples and integrations to specific tools.

  4. Include brand visuals or partner credentials for credibility.

  5. Link adoption frameworks or toolkits if provided (like SAAF/PAAF).


AI Agent Providers Comparison Table

Provider

Core Focus

Key Differentiators

Atlassian Rovo

Enterprise AI for teamwork & knowledge work

Built into Jira & Confluence, RAG-based, federated search

Microsoft Copilot

Productivity + document-heavy workflows

Deep Office 365 integration, strong data protection, in-context suggestions across Word, Excel, Teams

Google Duet AI

Cross-productivity + cloud workflows

Native to Workspace (Docs, Sheets, Gmail), strong real-time collaboration, code + doc support

Notion AI

Knowledge capture + personal productivity

Embedded in notes/workflows, strong summarization, human-like writing, user-friendly prompts

Jasper

Marketing + content teams

Pre-built use case templates, brand voice control, integrations with CMS & CRM platforms

Salesforce Einstein GPT

CRM + customer engagement AI

Deep CRM context, customer data-trained models, native to Sales/Service Cloud, built for RevOps

Moveworks

IT & HR service automation

Purpose-built AI agents for enterprise support, native ITSM integrations, multilingual chatbot support

Glean

Enterprise knowledge search

Federated, contextual enterprise search with Q&A and assistant capabilities across 100+ tools

Cohere Command R+

Developer-friendly agent foundation model

Open weights, RAG-ready, optimized for retrieval, supports building custom enterprise agents

ChatGPT (OpenAI)

General-purpose agent assistant

Plug-and-play flexibility, high-quality generation, custom GPT builder, wide plugin ecosystem



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