The promise is simple: an all-in-one, AI-native platform that lets a managed service provider run flat out — at full gallop — without losing anything in the gaps between disconnected tools.
Ask an MSP owner what they run on and you get a list: a PSA for tickets, a CRM for the pipeline, a spreadsheet for time, an accounting package for invoices, a marketing tool nobody has logged into since the trial, and a client portal that looks like it belongs to somebody else’s company.
Every one of those tools is fine on its own. The cost is in the seams. The deal you closed does not become the contract you bill. The hours your technician logged do not become the invoice line. The client who has been unprofitable for eight months looks fine in every individual system, because no single system can see the whole picture.
Tantivo is the argument that the seams are the product. One data model, covering acquisition through delivery through billing, so a client moves through one system and each stage hands the next real records rather than a CSV and somebody’s memory.
And because it is one model, AI has something worth reading. An assistant that can see the ticket, the contract, the time logged and the account history at once is useful in a way that a chatbot bolted onto a single tool simply cannot be.
These are not marketing values. They are the constraints the codebase is actually written under, and they are why some obvious shortcuts are missing.
An all-in-one that is really four products behind one login has solved nothing — you still reconcile. Every module in Tantivo reads and writes the same records, which is why utilisation, revenue and SLA agree without anyone exporting anything.
If something matters operationally it gets columns, constraints and an index. JSON is for genuinely unstructured payloads like a raw webhook body, never as a shortcut around modelling the thing. Six months from now you should be able to query it — and so should an AI agent.
You are accountable to your clients for what happens in their environment. So no AI action in Tantivo sends, assigns, publishes or charges on its own. That constraint is what lets us put AI in the middle of the workflow instead of quarantining it in a sidebar.
Audit trails and event logs are append-only at the database grant level. The only way to change one is a redaction procedure that records what was redacted and why. What happened stays what happened.
Export is a button, not a support ticket, and it is generated from the schema so nothing can quietly escape it. Lock-in should come from the product being good, not from your history being hard to retrieve.
We publish what we have not built and which workloads we will not take on. A vendor who only tells you the good parts is a vendor you will find out about later, usually at the worst moment.
Tantivo is in private trial. The platform is built and running — everything shown on this site is a capture of the live application — and we are onboarding a small number of MSPs at a time so each one gets real attention rather than a queue position.
We are a small team. That has consequences, and we would rather you knew them: no SOC 2 report, no negotiated contracts, no regulated-workload tenants yet. The security page lists those limits explicitly instead of leaving you to discover them.
If you run an MSP and the seams are costing you, we would like to talk.
Bring acquisition, delivery and billing into one transparent, AI-native system. Join the waitlist for the private trial.
Prefer email? support@tantivo.ai