One week. Two solutions. Your whole business, mapped.
The AI Opportunity Audit is how every Sentry engagement starts. We map how your team actually works, find where AI would pay back first, and hand you the two solutions we would build for you. You leave with a clear picture of your business and a decision you can act on.
Step one · your map
First, we map how you actually run
This is a real example: an entire business drawn as one knowledge graph, every tool, team and silo in one picture. The shape is the point. Once you can see it, the highest-leverage place to begin stops being a guess. Hover a suggestion to see where on the map it comes from.
Your teams use Claude, but not well enough
We would set up a Claude Cowork architecture so your teams can read and write across the M365 stack, Outlook, SharePoint and Teams, from where they already work. It stops being a chatbot and starts doing the job.
Support drowns in the same calls. A voice agent could answer them
Customer Support lives in Zendesk, Intercom and Aircall, doing by hand what a voice agent could take end to end. We build the agent, wired into the tools they already use, and it never sleeps.
Agents everywhere, and nobody governs them
Claude in three teams, ChatGPT in two more, an AWS agent in Data. Each in its own console, on its own bill, answering to nobody. One neutral control plane registers, monitors and governs all of them.
Step two · your opportunities
Then, the AI opportunities we would build
From your map, our strategist returns the highest-leverage AI moves for your business, each mapped to enablement, development or infrastructure. These are the exact cards it returns. Yours are written from your own tools and teams.
Sales and Marketing both run 
Microsoft Copilot, but everyone prompts from scratch, so quality swings person to person. A shared, role-based prompt library in 
Microsoft 365 makes your strongest operator's method the floor, not the exception.
Google Drive holds your process docs and 
Slack holds the decisions, but neither can see the other, so context dies in the gap. A knowledge graph over both lets an agent answer "why did we do it this way" from a single place.
Your reps spend the first call qualifying instead of closing. A 
Retell voice agent that captures budget, timeline and fit up front, writing straight to 
Salesforce, hands them only the leads worth their time, and never sleeps.
Teams are pasting into 
ChatGPT with no shared standard and no guardrails, so sensitive context leaks and quality is a lottery. A governed workspace with role-based prompts and access turns shadow AI into an asset you can trust.
Every bug reported in Slack gets re-typed into 
Jira by hand, losing detail and time. An agent that reads the thread and drafts the ticket, ready for a human to approve, closes the gap.
Microsoft Copilot, ChatGPT and a dozen tools each bill separately, so nobody can say what AI costs in total. One metering layer across them turns a shrug into a line item.
Sales and Marketing both run Microsoft Copilot, but everyone prompts from scratch, so quality swings person to person. A shared, role-based prompt library in Microsoft 365 makes your strongest operator's method the floor, not the exception.
Google Drive holds your process docs and Slack holds the decisions, but neither can see the other, so context dies in the gap. A knowledge graph over both lets an agent answer "why did we do it this way" from a single place.
Your reps spend the first call qualifying instead of closing. A Retell voice agent that captures budget, timeline and fit up front, writing straight to Salesforce, hands them only the leads worth their time, and never sleeps.
Teams are pasting into ChatGPT with no shared standard and no guardrails, so sensitive context leaks and quality is a lottery. A governed workspace with role-based prompts and access turns shadow AI into an asset you can trust.
Every bug reported in Slack gets re-typed into Jira by hand, losing detail and time. An agent that reads the thread and drafts the ticket, ready for a human to approve, closes the gap.
Microsoft Copilot, ChatGPT and a dozen tools each bill separately, so nobody can say what AI costs in total. One metering layer across them turns a shrug into a line item.
Sales and Marketing both run Microsoft Copilot, but everyone prompts from scratch, so quality swings person to person. A shared, role-based prompt library in Microsoft 365 makes your strongest operator's method the floor, not the exception.
Google Drive holds your process docs and Slack holds the decisions, but neither can see the other, so context dies in the gap. A knowledge graph over both lets an agent answer "why did we do it this way" from a single place.
Your reps spend the first call qualifying instead of closing. A Retell voice agent that captures budget, timeline and fit up front, writing straight to Salesforce, hands them only the leads worth their time, and never sleeps.
Teams are pasting into ChatGPT with no shared standard and no guardrails, so sensitive context leaks and quality is a lottery. A governed workspace with role-based prompts and access turns shadow AI into an asset you can trust.
Every bug reported in Slack gets re-typed into Jira by hand, losing detail and time. An agent that reads the thread and drafts the ticket, ready for a human to approve, closes the gap.
Microsoft Copilot, ChatGPT and a dozen tools each bill separately, so nobody can say what AI costs in total. One metering layer across them turns a shrug into a line item.
Sales and Marketing both run Microsoft Copilot, but everyone prompts from scratch, so quality swings person to person. A shared, role-based prompt library in Microsoft 365 makes your strongest operator's method the floor, not the exception.
Google Drive holds your process docs and Slack holds the decisions, but neither can see the other, so context dies in the gap. A knowledge graph over both lets an agent answer "why did we do it this way" from a single place.
Your reps spend the first call qualifying instead of closing. A Retell voice agent that captures budget, timeline and fit up front, writing straight to Salesforce, hands them only the leads worth their time, and never sleeps.
Teams are pasting into ChatGPT with no shared standard and no guardrails, so sensitive context leaks and quality is a lottery. A governed workspace with role-based prompts and access turns shadow AI into an asset you can trust.
Every bug reported in Slack gets re-typed into Jira by hand, losing detail and time. An agent that reads the thread and drafts the ticket, ready for a human to approve, closes the gap.
Microsoft Copilot, ChatGPT and a dozen tools each bill separately, so nobody can say what AI costs in total. One metering layer across them turns a shrug into a line item.
Examples only. Run the two-minute audit and these are generated live for your business.
Now do your own. It takes two minutes.
Answer five questions and watch your business render as a knowledge graph, with the moves worth making first. Free, and the first step of every Sentry engagement.