Ask instead of search
A plain-language question replaces filters, exports and pivot tables.
Let's talk AI
The GET17 assistant answers your questions from your data and the product documentation. The GET17 MCP server opens that same data to Claude, ChatGPT, Copilot or any compatible assistant. Either way, AI sees what the user is allowed to see, and nothing more.
What AI changes
Your data is already structured in GET17. AI lets you query it the way you'd ask a colleague who knows every file.
A plain-language question replaces filters, exports and pivot tables.
Findings in a PDF inspection report become items to track; quotes and invoices are captured by OCR.
Voice notes recorded during an audit are transcribed, then summarized into the recommendation.
With the MCP server, the assistant your teams already use reads your GET17 data directly.
The GET17 assistant
Available from any page of the application, the GET17 assistant relies on three sources: your records, the calculation engines behind your dashboards, and the GET17 documentation. When the answer isn't there, it says so.
Cash, bank balances, EBITDA and revenue, rents, loans, projects, CAPEX, energy, equipment, work orders, audits, preventive maintenance: the assistant queries the same calculation engines as your dashboards, by period and by scope.
“Compare actual and budgeted 2026 EBITDA by company.”
Properties, CAPEX requests, contracts, suppliers, inspections: it finds the records the user can see and links to each one.
“Which auto-renewing maintenance contracts reach their notice deadline in the next 3 months?”
It answers how-to questions from the GET17 documentation, module by module, and shows where the information comes from.
“How do I freeze a project budget?”
The “Extract findings” action turns a PDF inspection report into findings to close out. “Add by OCR” pre-fills an order's quotes and invoices.
Recordings made on mobile during an audit are transcribed, then summarized into a short, factual comment on the recommendation.
If the answer isn't in its sources, the assistant offers to open a support ticket and shows you the summary before sending it.
Fictional example. Answers are calculated on the signed-in user's scope.
The GET17 MCP server
Do your teams already use Claude, ChatGPT or Copilot? The GET17 MCP server gives them read-only access to your data, with the user's permissions.
The Model Context Protocol is an open standard that lets an AI assistant use external tools. GET17 publishes its own: the assistant picks the right tool, GET17 runs the request and returns the result.
Properties, companies, contracts, suppliers, CAPEX requests, projects, audits: anything the user can see, as a list or in detail.
GET17 tells the assistant which criteria each type of data supports: dates, statuses, amounts, categories, properties.
Performance, cash, loans, rents, projects, CAPEX, energy, equipment, work orders, audits, maintenance: the figures behind your dashboards.
By period, property, company or brand, with ratios per occupied room, per guest or per unit of revenue.
Each result links to the matching record in GET17, so you can check it or carry on in the application.
The MCP server reads your data and never creates, changes or deletes anything.
Fictional example. The MCP server is read-only: every call reads GET17 with the user's permissions.
An administrator enables it for your GET17 platform, chooses the roles or users allowed and the tools exposed.
Register GET17 as a connector in Claude, ChatGPT, Copilot or any MCP-compatible client.
Created from “My API keys” and approved by an administrator, it gives the assistant your permissions and your property scope, nothing more.
AI by role
A few examples of what each role asks the GET17 assistant, or their own assistant connected through MCP.
“For each hotel, what's left of 2025 EBITDA after rent and loan repayments?”
“Prepare the next CAPEX committee: listed requests, amounts, properties and the EBITDA of each.”
Discover“What are each company's 2026 cash needs (projects, loan repayments, equipment replacement) against its current bank balance?”
“What's each company's debt-to-EBITDA ratio (outstanding principal at end-2025 ÷ 2025 EBITDA)?”
Discover“What's each hotel's rent-to-revenue ratio for 2025?”
“Which hotels have exceeded their 2025 FF&E reserve?”
Discover“Which properties have overdue or unrecorded maintenance?”
“How many findings are still open, by supplier?”
Discover“Which ongoing projects have more than €100k left to pay?”
“Which purchase orders are waiting for an e-signature or a level 1, 2 or 3 approval?”
Discover“Which work orders at my property have been open for more than 15 days?”
“Which equipment at my property is worn out or reaches end of life before 2028?”
Discover“Which plumbing requests have guests made this month?”
“Which equipment breaks down most often at my property?”
Discover“Which lease financing agreements expire before the end of 2027?”
“Which capital increases or reductions have taken place in the last 3 years?”
Discover“Which suppliers have missing documents despite more than €50k ordered over 24 months?”
“Which suppliers are in insolvency proceedings or have ceased trading?”
DiscoverAI by industry
The same tools, applied to what matters in your business.
Connect operations and assets: occupied rooms, energy, CAPEX and FF&E reserve.
“What was the electricity cost per occupied room, by property, in 2025?”
Track equipment breakdowns and safety inspections at every restaurant.
“How do work orders break down by equipment family and resolution time?”
Stay on top of a housing portfolio: repairs, inspections, refurbishment works.
“How did the number of work orders change month by month in 2025, by residence?”
Meet every regulatory deadline and document every inspection.
“What share of maintenance is up to date at each facility?”
Compare the sites in a network and track audits and investment site by site.
“Which sites haven't been audited in more than 24 months?”
Plan equipment replacement and keep track of installation inspections.
“What equipment replacement budget should we plan each year through 2030, by equipment type?”
Consolidate works, debt and cash for a portfolio held through several companies.
“What's the outstanding principal on loans and lease financing, by company, at the end of 2026?”
Trust and security
AI doesn't bypass anything: it goes through the same controls as the application.
Every question and every action runs under the signed-in user's identity, verified server-side. AI only sees what that user can see.
Figures and lists cover the companies and properties the user can access, and are presented as such.
Data stays in your hosting environment. Only the information needed for a question is sent to the model, at the moment it's asked.
GET17 works with several model providers, including Anthropic, OpenAI, Google and AWS. You choose the one that fits your policy.
Conversations are kept in GET17 for the retention period you set. Calls to the MCP server are logged: user, tool and parameters, never the data returned.
Extracted findings, summarized comments, support tickets: AI suggests, the user reviews and confirms. The MCP server changes nothing.
Frequently asked questions
The assistant is built into the application: you open it from any page. The MCP server lets an external assistant, such as Claude, ChatGPT or Copilot, read GET17 data, read-only. Both apply exactly the same access rights.
No. Every request runs under your identity and is limited to your rights and your property scope. If nothing matches within that scope, the AI tells you.
Your data stays in your GET17 hosting environment. To answer, only the information needed for the question is sent to the chosen model provider. That choice is made with you, based on your security policy. With the MCP server, results are sent to the assistant you connect, under its provider's terms.
The MCP server is read-only: it reads your data and never changes it. In the application, the assistant suggests (findings extracted from a report, a support ticket) and nothing is saved without your confirmation.
From three sources only: your records, the calculation engines behind your dashboards, and the GET17 documentation. The assistant links to the relevant records and doesn't fill gaps with general knowledge.
No. AI features are enabled as you need them, and GET17 is complete without them.
A demo of the assistant and the MCP server on real questions from your organization.