AI product guidance
Governance guidance for the AI products you use.
How to govern the AI products organisations buy and adopt, product by product. Each page gives the executive team, risk teams and IT the advice that matters to them, with the sources behind it listed.
AI assistants staff use every day
Microsoft 365 Copilot
Microsoft
How to govern Microsoft 365 Copilot and the agents built on it, with guidance for executives, risk teams and IT on data access, oversight and controls.
Read the guidance→OpenAI ChatGPT Enterprise
OpenAI
How to govern OpenAI ChatGPT Enterprise, from custom GPTs and connected apps to agents, with guidance for executives, risk teams and IT.
Read the guidance→Gemini for Google Workspace
How to govern Gemini for Google Workspace across Gmail, Docs, Drive and Meet, with guidance for executives, risk teams and IT.
Read the guidance→Anthropic Claude (API / Claude for Work)
Anthropic
How to govern Anthropic Claude in the apps staff use and the applications developers build on the API, with guidance for executives, risk teams and IT.
Read the guidance→Perplexity Enterprise Pro
Perplexity
How to govern Perplexity Enterprise Pro, its connectors, shared Spaces and API, with guidance for executives, risk teams and IT.
Read the guidance→Slack AI
Salesforce
How to govern Slack AI, from recaps and search across connected sources to drafting and automations, with guidance for executives, risk teams and IT.
Read the guidance→Glean
Glean
How to govern Glean as it moves from enterprise search to an assistant and agents that act, with guidance for executives, risk teams and IT.
Read the guidance→Rovo
Atlassian
How to govern Atlassian Rovo across Jira, Confluence and connected apps, including agents and automations, with guidance for executives, risk teams and IT.
Read the guidance→Agents inside business systems
Microsoft Copilot Studio
Microsoft
How to govern Microsoft Copilot Studio and the agents people build with it, with guidance for executives, risk teams and IT on ownership, tools and change.
Read the guidance→Salesforce Agentforce
Salesforce
How to govern Salesforce Agentforce agents that talk to customers and act on CRM data, with guidance for executives, risk teams and IT.
Read the guidance→ServiceNow AI Agents
ServiceNow
How to govern ServiceNow AI Agents working across IT, HR and customer service workflows, with guidance for executives, risk teams and IT.
Read the guidance→Workday Illuminate Agents
Workday
How to govern Workday Illuminate Agents in HR and finance work such as hiring and payroll, with guidance for executives, risk teams and IT.
Read the guidance→SAP S/4HANA (Joule / Business AI)
SAP
How to govern SAP Joule and Business AI in S/4HANA across finance, supply chain and procurement, with guidance for executives, risk teams and IT.
Read the guidance→Zendesk AI Agents
Zendesk
How to govern Zendesk AI Agents that answer customers and act in the organisation's own systems, with guidance for executives, risk teams and IT.
Read the guidance→Intercom Fin
Intercom
How to govern Intercom Fin as it answers customers and acts through procedures and data connectors, with guidance for executives, risk teams and IT.
Read the guidance→Platforms teams build their own AI on
Amazon Bedrock
Amazon Web Services
How to govern Amazon Bedrock and the applications and agents teams build on it, with guidance for executives, risk teams and IT on guardrails and change.
Read the guidance→Azure OpenAI (Internal Assistants)
Microsoft
How to govern Azure OpenAI and the assistants and agents teams build on it, with guidance for executives, risk teams and IT.
Read the guidance→Vertex AI Agent Builder
How to govern Vertex AI Agent Builder and the agents teams build and run on Google Cloud, with guidance for executives, risk teams and IT.
Read the guidance→OpenAI API (GPT-4, GPT-4o)
OpenAI
How to govern the OpenAI API and the applications developers build with it, with guidance for executives, risk teams and IT.
Read the guidance→Coding assistants and agents
GitHub Copilot
GitHub
How to govern GitHub Copilot from code suggestions to agent mode and coding agents, with guidance for executives, risk teams and IT.
Read the guidance→GitHub Copilot coding agent
GitHub
How to govern GitHub Copilot coding agent as it takes tasks, changes code and opens pull requests, with guidance for executives, risk teams and IT.
Read the guidance→Claude Code
Anthropic
How to govern Claude Code as it reads, edits and runs code on developer machines and in the cloud, with guidance for executives, risk teams and IT.
Read the guidance→Cursor
Anysphere
How to govern Cursor from code completion to agents that edit files, run commands and fix pull requests, with guidance for executives, risk teams and IT.
Read the guidance→Meeting notetakers
Otter.ai
Otter.ai
How to govern Otter.ai recording, transcripts and its meeting agent, with guidance for executives, risk teams and IT on consent and data.
Read the guidance→Fireflies.ai
Fireflies.ai
How to govern Fireflies.ai recording and the shared record of meetings it builds, with guidance for executives, risk teams and IT on consent and data.
Read the guidance→Questions
Who is this AI product guidance for?
Organisations that have bought or adopted one of these products. Each page has a section for the executive team, one for risk, compliance and assurance and one for technology and security, so each reader can go straight to the advice that is theirs.
Do I need to use Aicura to use this guidance?
No. Each page is written to help an organisation govern the product better whether or not it uses Aicura. Each audience section ends with a short note on how Aicura can help.
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