For fintech companies
Use your data with AI. Keep every access rule you answer for.
Inside Claude, ChatGPT, Copilot, Gemini and every agent on the market. No new tool.
Reads Salesforce, HubSpot, Gong, Slack and 9 more
The problem
Your data is everywhere, and every AI tool is a new access risk.
Risk
Customers told a different story by each team
Time
Staff time burned proving who can see what
Cost
Paying for AI that cannot touch the work
With Mithrandir
Before: Hours, weeks, months
With Mithrandir: Seconds
Up to 396 to 792 hours a year saved per person
Up to $36K to $71K
more revenue a year, per person
Source: McKinsey; Coveo; Axios · How it is estimated
How much better it gets
In the agent each person already uses, within what they can access.
Time
Answering an access audit
Before
Days of exports, stale before they are sent.
After
Who could see what is the same rule behind every answer.
Risk
A regulator asks how something changed
Before
The history is spread across meetings and people who left.
After
The full history, in order, with a source for each step.
Revenue
Sales and support on the same customer
Before
Sales promises one thing, support reads another.
After
One company memory, each person within their own rights.
Cost
A new risk or compliance hire
Before
A first month spent asking how things got this way.
After
The full history of the current setup, from day one.
Risk
AI that finally knows the company
Before
Customer details pasted into AI chats by hand.
After
Claude, ChatGPT, Copilot or Gemini, inside your access rules.
Safe on every row.
Only what you can already access
Your hierarchy, the way it should be
Walls that hold, for every agent
0 leaks, 100% sourced, 30,000+ entries. How we measure · Security
A scenario
One Monday morning in fintech
An auditor's request lands at 8:30: show who could see a merchant's dispute files last quarter, and how the refund policy changed. The head of compliance asks Claude.
“Who could see this merchant's dispute files last quarter, and what changed in our refund policy?”
The head of compliance · in Claude
The policy change with the thread where it was approved, the ticket that rolled it out, and the access history for the files, each with its source.
A support agent · in Copilot
The current refund policy and the tickets in their own queue. Approval threads and other teams' cases stay out of reach, exactly as they do at work.
The auditor gets a sourced answer the same morning. Nobody exported a spreadsheet, and nobody saw more than their job allows.
21% of CISOs govern AI agent access with shared credentials. Source: Okta, Global CISO Insights 2026
Questions
- Can it help answer an access audit?
- It shows who could see what, and how a policy changed, with the source for each step. Each person asking sees only what they can access at work.
- Does customer data stay in our cloud?
- Yes. Mithrandir runs in your own cloud with your own model key. Restricted content never reaches a model.
- Will sales, support and risk see the same customer?
- Each team sees the same customer history within its own access, so nobody tells a customer a different story and nobody sees more than their role allows.
See it on your own data.
Connect CRM, chat and docs. Ask what your auditors ask. Compare two people's answers.
Remember.
Every company needs agents that know it. We are here for that.
Remember more. Spend less.Bring one workflow. See it on your own data in 30 minutes.
Last updated 21 October 2026 · Mert Uzun, co-founder