Document creation & editing
Writing, formatting, and managing text-based documents.
Maturity levels
|
Level |
Name |
Description |
Technology |
Example tools |
| 0 | Non-Existent | No AI capabilities | None | |
| 1 | One-Off Assist | AI is used to generate content that will be manually integrated into document editor tools. | LLMs Chatbots | ChatGPT, Claude, Copilot Web, other chatbots |
| 2 | Integrated Assist |
AI is directly integrated in document editor tools, providing ready-to-use generic prompts (like summarizing content) and contextual actions in the editor like rewriting or translating. |
LLMs, NLP, Grammar Engines, Template Generation |
Copilot for Microsoft 365, Google Gemini for Docs (Smart Compose), Grammarly, Hubspot, Jasper, CopyAI |
| 3 | AI-Human Collaboration |
AI co-creates the document with the user offering direct prompt capabilities allowing content creation and organization, with direct interaction with the user in the form of suggestions and improvements based on a feedback loop. AI suggests specific prompts based on both user work context and document content. AI offers integration to contextual information and knowledge sources available to the user inside his work context to provide tailored content. |
LLMs, NLP, RAG, Context Analysis, Knowledge Graph |
Copilot for Microsoft 365, Google Gemini for Docs, Jasper, CopyAI, Notion AI |
| 4 | Intelligent Automation | AI automatically generates complete documents based on predefined instructions sets or on the user document creation pattern. | Behavorial Analysis, Agentic AI, Context Analysis, Knowledge Graph |
Emerging |
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |
Presentation design
Creating and enhancing visual presentations
Maturity levels
|
Level |
Name |
Description |
Technology |
Example tools |
| 0 | Non-Existent | No AI capabilities | None | Traditional PowerPoint, Keynote |
| 1 | One-Off Assist | Ai is used to generate presentation storyline, slide content or images that will be manually integrated into presentation tools. | General Purpose LLMs, Chatbots, AI Image Generators | ChatGPT, Claude, Copilot Web for content generation, Dall-E |
| 2 | Integrated Assist |
AI is directly integrated in presentation tools, providing template suggestions, content generation, basic design recommendations, ready-to-use generic prompts (like summarizing content) and contextual actions within the editor like rephrasing content or generate and integrate image into a slide |
Computer Vision, NLP, Template Generation |
Canva AI, Microsoft Copilot in PowerPoint , Gemini in Slides |
| 3 | AI-Human Collaboration |
AI co-creates presentations with users, generating the storyline and drafting content based on user instructions and work context like offering intelligent design suggestions, automatic layout optimization, brand consistency, and contextual content recommendations based on presentation purpose and audience. |
LLMs, Computer Vision, Image Generation |
Microsoft Copilot in PowerPoint, Gemini in Slides, Gamma, Beautiful.ai, Plus AI, Presentations.AI, Tome, Canva Magic Design |
| 4 | Intelligent Automation | AI automatically generates complete presentations from minimal input (topic, audience, duration), with full design, content, speaker notes, and adaptive formatting based on presentation context and user patterns. | Agentic AI, Multimodal AI, Behavioral Analysis | Emerging capabilities in Gamma and Plus AI |
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |
Data entry & analysis
Inputting, cleaning, and analyzing structured data
Maturity levels
|
Level |
Name |
Description |
Technology |
Example tools |
| 0 | Non-Existent | No AI capabilities | None | Traditional Excel, manual data entry |
| 1 | One-Off Assist | AI is used to generate formula, queries, analysis insights or data cleaning suggestions that are manually applied to datasets. | LLMs Chatbots | ChatGPT, Claude, Mistral LeChat |
| 2 | Integrated Assist |
AI is integrated into data tools providing automated data cleaning, basic pattern recognition, and pre-built analytical functions within existing platforms. |
ML Algorithms, Pattern Recognition |
Microsoft Copilot in Excel, Gemini in Sheets, Power BI automated insights, Airtable AI |
| 3 | AI-Human Collaboration |
AI actively collaborates in data analysis, providing intelligent suggestions for data relationships and pivots/charts building, automated anomaly detection, natural language querying, and contextual insights based on business domain. |
NLP, Automated Analytics |
Tableau AI, Julius AI, BlazeSQL, Microsoft Copilot in Power BI, Microsoft Copilot in Excel, DataRobot, Domo |
| 4 | Intelligent Automation | AI fully automates data pipeline creation, performs autonomous analysis, generates and update business insights (including dashboards), creates predictive models with minimal human input, adapting to changing data patterns. | Advanced AI/ML, AutoML, Predictive Analytics | Advanced capabilities in DataRobot, emerging in Tableau Pulse |
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |
Email management
Composing, organizing, and automating email communication
Maturity levels
|
Level |
Name |
Description |
Technology |
Example tools |
| 0 | Non-Existent | No AI capabilities | None | Basic email clients |
| 1 | One-Off Assist | AI is used to generate email content or responses that are manually copied into email clients. | LLMs Chatbots | ChatGPT, Claude for email drafting |
| 2 | Integrated Assist |
AI is integrated into email clients providing smart drafting and tone rewriting, basic categorization, thread summaries within the email interface. |
NLP, Classification Algorithms |
Gemini for Gmail (Smart Compose), Copilot in Outlook, Apple Mail categorization |
| 3 | AI-Human Collaboration |
AI actively manages email workflow with intelligent prioritization, contextual response suggestions (inside threads), follow-up reminders, and email tone optimization based on recipient and context (including files and related meetings) |
Advanced NLP, Context Analysis, Behavioral AI |
Microsoft Copilot for Outlook, Gemini in Gmail (Smart Reply with context), Superhuman |
| 4 | Intelligent Automation | AI fully automates email management including autonomous response generation, meeting scheduling, escalation, email routing, and relationship management based on communication patterns and business context. | Workflows Agents, CRM Integration, Behavioral Analysis | Emerging capabilities, limited deployment (Superhuman) |
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |
Calendar management & scheduling
Managing appointments, meetings, and availability
Maturity levels
|
Level |
Name |
Description |
Technology |
Example tools |
| 0 | Non-Existent | No AI capabilities | None | Basic calendar applications |
| 1 | One-Off Assist | AI provides scheduling suggestions or conflict analysis that users manually implement in their calendar systems. | Chatbots | ChatGPT for scheduling advice |
| 2 | Integrated Assist | AI is integrated into calendar apps providing smart scheduling suggestions, automatic time zone conversion, and basic conflict detection within existing platforms. |
Optimization Algorithms, Time Analysis |
Google Calendar smart suggestions, Outlook scheduling assistant, Microsoft Copilot |
| 3 | AI-Human Collaboration | AI actively manages scheduling proposals with intelligent meeting optimization, automated rescheduling based on priorities, travel time calculation, and contextual meeting preparation based on participants and topics. |
Advanced Optimization, Context Analysis, Integration APIs |
Calendly AI features, Motion, Clockwise, Reclaim.ai |
| 4 | Intelligent Automation | AI fully automates calendar management including autonomous scheduling based on goals, preferences and perceived priorities, proactive rescheduling for optimal productivity, and integrated workflow management across multiple systems. | Behavioral Analysis, Agentic Schedulers | Emerging in Motion, Clockwise, Reclaim.ai and similar tools |
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |
Meeting assistance
See Meeting Assistance section in Project Management category
Content analysis, synthesis & insights
Analyzing document content, providing insights & general or topical synthesis
Maturity levels
|
Level |
Name |
Description |
Technology |
Example tools |
| 0 | Non-Existent | No AI capabilities | None | Manual document review |
| 1 | One-Off Assist | AI provides content analysis or synthesis when documents are manually uploaded to AI tools for processing. | Basic NLP, LLMs | ChatGPT, Claude, Copilot Web |
| 2 | Integrated Assist |
AI is integrated into document editors (side-panel) or document management system providing automated summaries, insights and synthesis and categorization |
NLP, Data Extraction and Classification, |
Microsoft Syntex, Gemini inside Google Drive or Docs, Microsoft Copilot in Word, OneDrive, SharePoint |
| 3 | AI-Human Collaboration |
AI actively analyzes content with deep contextual understanding, cross-document synthesis, trend identification, and intelligent insight generation based on user domain expertise and organizational knowledge. |
Advanced NLP, LLMS, RAG over repositories, Knowledge Graphs, Semantic Analysis |
Microsoft Copilot, Microsoft Syntex, Perplexity Enterprise |
| 4 | Intelligent Automation | AI autonomously monitors content streams, generates comprehensive insights and digests, identifies emerging patterns, tag/route content and creates predictive analysis with minimal human input, adapting to organizational knowledge evolution. | Agentic pipelines; auto‑classification | Emerging in enterprise knowledge management platforms |
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |
Enterprise information retrieval & search
Finding and summarizing information through documents, emails, and knowledge across internal enterprise systems with security, compliance, and integration requirements.
Maturity levels
|
Level |
Name |
Description |
Technology |
Example tools |
| 0 | Non-Existent | No AI Capabilities | None | Basic Enterprise Search Engines |
| 1 | One-Off Assist | NA | NA | NA |
| 2 | Integrated Assist |
AI is integrated into enterprise search systems providing semantic search, auto-complete suggestions, result ranking improvements, and basic cross-system indexing within existing enterprise platforms. |
LLMs, Chatbots, Semantic Search, Vector Databases, Enterprise Indexing |
Copilot for Microsoft 365, Google Workspace Search |
| 3 | AI-Human Collaboration |
AI actively assists in enterprise information discovery with contextual understanding, cross-system synthesis, and compliance-aware search across all enterprise knowledge sources. |
LLMs, NLP, RAG, Connectors Frameworks |
Glean, Copilot for Microsoft 365, Perplexity Enterprise |
| 4 | Intelligent Automation | AI proactively delivers relevant information before it’s requested based on user’s search patterns and work context, provides autonomous research capabilities with comprehensive analysis, | Agentic AI, Behavioral Analysis | Emerging in advanced enterprise AI, emerging in Glean |
| AI Maturity Level: Indicates the level the technology vendors claim to have reached in deploying AI solutions that actually work in real-world applications |