The free AI Opportunity Audit, in two minutes.
Every Sentry engagement starts here, free. We map the tools you already run, find where AI pays back first, and hand you your two best moves.
Step one · your map
First, we map how you actually run
A real example: an entire business drawn as one knowledge graph. Once you can see it, where to begin stops being a guess. Hover a suggestion to see where 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 your highest-leverage AI moves, each mapped to the AI Operating System or private infrastructure. These are the exact cards it returns.
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.
Questions people ask before they start
What is the AI Opportunity Audit?
A free audit that maps the software and AI tools your company already runs as a knowledge graph, then shows you the highest-leverage AI opportunities hiding in that map. You answer five questions, your business renders as a graph of your tools, teams and silos, and you get back the opportunities we would build, each mapped to enablement, development or infrastructure. It is the first step of every Sentry engagement.
How much does the AI Opportunity Audit cost?
The audit is free and runs in your browser, with no sales call required. The Discovery Week it leads into, where we build the opportunity you pick, is free too. No retainer and no lock-in.
How long does the AI Opportunity Audit take?
About two minutes. It is five questions about your company, your ecosystem and the tools your teams use, and it runs entirely in your browser. The Discovery Week that follows takes under 20 hours of your team's time across the full week, because we do the building.
What do I get from the audit?
A knowledge graph of your business showing every tool, team and data silo and how they connect, plus the highest-leverage AI opportunities read off that map, each with the outcome it drives and the stage of the AI Transformation Roadmap it belongs to. The Discovery Week that follows turns the one you pick into working software.
Is this a consulting engagement?
No. We build, we do not advise. There are no decks and no 18-month programmes. The week ends with working software, and the roadmap is a build plan, not a strategy document.
Do you run Discovery Weeks outside Auckland?
Yes. Sentry AI is based in Auckland and runs Discovery Weeks across New Zealand and Australia, on-site or fully remote. Your named team works in your timezone.
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, no decks, no 18-month programmes. We build, we do not advise.