Asset managers and finance

AI for asset managers and family offices

AI that writes the performance report, runs portfolio scenarios and answers investors with the math beside every number.

Executive reviewing a printed report at a meeting table, with buildings seen through the window

In asset management, a number without a source is worthless.

Every month, the same race: close the NAV, build the report, explain the returns, answer the committee. Much of that work is pulling data from different systems and checking that the numbers add up.

A generic AI does this fast and gets it wrong without warning. It does not know how your firm calculates return, what the cutoff date is, or what counts as part of the portfolio. The number looks right, and that is where the risk lives.

Omnis works the other way around: first it learns the firm's rules, then it answers. And every answer comes with the source, the rule applied and the period the data covers.

What AI does at an asset manager

  1. 01

    Performance report with the math beside it

    The monthly report is generated by Omnis from the portfolio data. Every number shows where it came from and how it was calculated, so the team reviews instead of building from scratch.

  2. 02

    Return attribution by asset

    Where the month's result came from: by asset, by class, by strategy. The explanation comes with the number, using the rule your firm uses.

  3. 03

    Portfolio scenarios

    What happens to the portfolio if rates rise, if the currency moves, if a position is reduced. The simulation uses the real positions and keeps the assumptions in plain sight.

  4. 04

    Limit alerts

    Omnis tracks the limits the firm defines and warns when a position gets close to them. The decision stays with the manager and with compliance.

  5. 05

    Answers to investors and to the committee

    Questions that today become a request to the data team get an answer in minutes, on the web, on WhatsApp or on Teams, always with the source cited.

Governance that compliance can audit

Limits by area. Each person sees only what their role allows. The rule is enforced in the query, not left to the model's good will.

Personal data protected. Fields marked as personal data do not enter the query. The model never receives them, so it cannot reveal them.

Human approval before acting. The agent prepares the delivery or the change and stops. Nothing goes out without a click from someone with authority.

A receipt for every access. Who asked, what was read, which policy applied. The trail cannot be edited, and denied access is recorded too.

Where to start

With the AI Diagnostic: in 2 to 4 weeks, we map the processes with the business areas, pick the three use cases with the clearest return and deliver the deployment roadmap. Fixed price.

Then an engineer and a strategist from Data Omnis put the first case into production inside your operation, measure the result against the agreed metric and hand control over to your team.

Frequently asked questions

Will the AI have access to investor data?

Only to what is authorized. Fields marked as personal data stay out of the query, and every access produces a receipt showing who read it and why.

Does portfolio data leave our environment?

Omnis reads your systems through outbound connections, only for what was authorized. Nothing from your database is copied out.

Does the AI make investment decisions or send reports on its own?

No. Omnis calculates, explains and prepares. Investment decisions belong to the manager, and anything sent externally needs approval from a person with authority.

Want to see this month's report with the math beside it?

Start with the diagnostic: in 2 to 4 weeks you leave with the three use cases, the expected return of each one and the deployment roadmap.

Talk to an AI expert