--- title: "AI Agent: What is Your AI Agent Advisor and how do you use it?" last_updated: "2026-04-01T12:21:10.782Z" category: "AI Agents" canonical_url: "https://maybeclients.com/h/maybe-help-centre/ai-agent-what-is-your-ai-agent-advisor-and-how-do-you-use-it" help_centre: "Maybe* Help Centre" --- # AI Agent: What is Your AI Agent Advisor and how do you use it? ## What This Maybe* AI Agent Actually Does overview, task states, governance Your AI Agent Advisor helps you choose, sequence, and govern the right AI Agents for your team, based on where work happens Slack, Teams, WhatsApp, Notion, Google, Salesforce, ClickUp and what outcomes matter faster answers, fewer interruptions, cleaner data, consistent reporting . It typically works through three task states: - Draft: proposes an agent starter set, workflow, and knowledge base structure using your placeholders and constraints. - Paused for approval: stops when it needs a decision for example, which system is the source of truth, which docs are approved, which fields must be standardised . - Ready to implement: outputs a practical setup plan you can hand to an admin or implement directly inside Maybe*. Governance is built-in. Your AI Agent Advisor pushes for clear ownership, reliable sources, and safe boundaries before you automate high-impact workflows. ## What This Maybe* AI Agent Does Not Do boundaries Your AI Agent Advisor does not: - Invent policy, pricing, legal, HR, or compliance guidance that is not in your approved documentation. - “Clean up” Salesforce or ClickUp data without you confirming rules, required fields, and edge cases. - Guess which channel should be authoritative when Slack, Teams, and Notion disagree. - Replace human judgement for escalations, exceptions, and sensitive customer conversations, especially on WhatsApp. ## What Can Your AI Agent Advisor Do? ### Agent strategy and sequencing where to start, what to deploy first - Recommend a starter set of AI Agents for a {sector} team working mainly in Slack. - Recommend the best first Agent to set up in WhatsApp to handle {enquiry_type} and route it to the right person. - Suggest which Agent to start with to improve operations across Notion and Slack for {team_size} people. - Help you decide whether to connect Slack or Teams first for {department_name}, and what you gain either way. - Recommend the quickest way to start with a prebuilt Agent in Teams for {use_case} and then customise it. ### Slack and Teams productivity reduce time, reduce interruptions, speed up answers - Identify what focus area to pick to reduce time spent on {process_name} in Teams. - Structure an onboarding flow so new hires get answers fast in Slack using {policy_docs}. - Design how to split responsibilities between Slack and ClickUp Agents for {process_name} to drive fewer interruptions. ### Notion and Google knowledge foundations make Agents accurate and on-brand - Recommend which Agents to use to turn {notes_type} into repeatable workflows in Notion. - Advise, in Notion with {page_count} pages of docs, what to upload first so Agents stay on-brand and accurate. - Explain the simplest way to turn Google {document_type} into a knowledge base for Agents. - Define what to include in a knowledge base so a WhatsApp Agent handles {faq_topic} safely and consistently. ### Reporting, planning, and campaign operations repeatable outputs, fewer surprises - Suggest an Agent setup to produce a weekly {report_type} from Google data for {team_name}. - For Meta campaigns, recommend Agents to plan, QA, and report on {campaign_name} without guesswork. - For Meta reporting, define which metrics to track for {date_range}, and what Agents can automate the summary. ### Salesforce and ClickUp workflow hygiene cleaner inputs, better handovers - Recommend which Agents would help with {pipeline_stage} updates and cleaner notes in Salesforce. - In Salesforce, define how to standardise {field_name} so Agents can generate consistent reporting. - Recommend Agents that reduce back-and-forth on {task_type} inside ClickUp. - Map a simple ClickUp workflow that turns {request_source} into assigned tasks with clear owners. - Outline a setup checklist to connect Salesforce and ClickUp, then track {metric} weekly in Slack. ## Task Example Walkthroughs ### Walkthrough: recommend a starter set of Agents for a Slack-first team Prompt Used “Can you recommend a starter set of AI Agents for a {sector} team working mainly in Slack?” Task State Draft, then Paused for approval to confirm priorities and sources of truth . Output A shortlist of 3–5 agents with: - Primary outcome for example, faster internal answers, triage, weekly reporting - Where each agent lives in Slack channels, DMs, request form pattern - What knowledge it uses approved docs, FAQs, decision trees - Escalation rules when to route to a human, and to whom - A 30-day rollout plan week-by-week The Problem This Solves Most teams start with “an AI agent” and end up with overlap, inconsistent answers, and poor adoption. This creates noise instead of time saved. What the Your AI Agent Advisor Does It turns “we want AI in Slack” into a staged deployment plan: one agent that removes repetitive questions first, one that reduces coordination overhead second, then one that improves reporting. What Comes Back A practical, implementable starter set, plus a short “why this first” rationale your stakeholders can approve quickly. When the Your AI Agent Advisor Pauses - If your {sector} has regulated language or mandatory disclaimers - If you have multiple doc sources and no agreed “approved policy” set - If you want the agent to answer HR, legal, pricing, or security questions without validated docs How to Start Share your top 10 recurring Slack questions, your approved {policy_docs}, and who owns escalation for each category. ### Walkthrough: structure onboarding so new hires get answers fast in Slack Prompt Used “How should I structure an onboarding flow so new hires get answers fast in Slack using {policy_docs}?” Task State Draft, then Ready to implement once docs and permissions are confirmed. Output An onboarding blueprint that includes: - A “Day 1, Week 1, Month 1” question set and expected answers - A curated knowledge pack built from {policy_docs} - A safe-answer policy what the agent can answer, what it must escalate - Slack channel plan: where to ask what, and how answers are stored for reuse - A feedback loop: what the agent flags as missing or unclear The Problem This Solves Onboarding often fails quietly. New hires either interrupt colleagues constantly or make assumptions, and both outcomes are costly. What the Your AI Agent Advisor Does It designs an onboarding flow that is fast for new hires and low-interruption for the rest of the team, while keeping answers consistent and on-brand. What Comes Back A ready-to-run onboarding structure, including the exact categories of content to upload first and the escalation rules. When the Your AI Agent Advisor Pauses - If {policy_docs} are outdated, conflicting, or not approved for internal sharing - If you want the agent to answer sensitive HR matters without an escalation step - If there is no named owner for policy changes How to Start Provide your {policy_docs} list, your onboarding roles HR, IT, line manager , and the top 20 questions asked by new starters. ## Governance & Trust ### Paused Is Not Failure When Your AI Agent Advisor pauses, it is protecting accuracy, consistency, and accountability. A confident wrong answer is more damaging than a deliberate stop. ### What Triggers a Pause Common triggers include: - Missing or unapproved sources for example, no confirmed {policy_docs} set - Conflicting systems of record Notion vs Google vs Salesforce - High-risk topics customer promises, refunds, HR policy, compliance language - Ambiguous routing rules who owns {enquiry_type}, {faq_topic}, or {process_name} ### What You See When It Pauses You get a clear list of what is needed, typically: - The decision to make for example, which doc set is authoritative