AI Account Aggregation Agent
An Account Aggregation Agent pulls each client's full financial picture into one place, custodial and held-away accounts alike, then keeps the data clean and current as feeds break and balances change. It gathers and maintains the data; the adviser works from a complete view.
Tecla builds and operates it in your environment, feeding your CRM, planning, and reporting tools, under the controls your firm already answers to.
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The shift underway
Building a financial plan is one of the most time-consuming things an adviser does, and AI is compressing the build without touching the advice. The numbers show how far and how fast that is happening.
74%
of advisers have adopted account aggregation, among the highest of any advisor technology.
Source: Kitces Research
#1
factor advisers weigh when selecting technology is data aggregation capability.
Source: Cerulli Associates
30–60%
of a client's net worth often sits in outside accounts a firm cannot see without aggregation.
Source: RIA operations research, 2026
What runs inside
Aggregated data decays the moment a feed breaks or a balance goes stale, and keeping it clean is quiet, constant work. The agent does that maintenance continuously, so the data flowing into planning and reporting can actually be trusted.
Connect
Normalize
Feed Watch
Reconnect
Distribute
Human in the loop
The agent keeps the data flowing, but it never hides a problem. Broken feeds, stale balances, and accounts needing a client re-authentication are surfaced to the adviser, so no one builds a plan on numbers that quietly went wrong.
Scoped to you
This is a typical account aggregation build. The exact parts are scoped to how your firm runs: which custodians and institutions your clients use, which downstream tools consume the data, and how you want exceptions handled.
Related agents
Built, run, and owned, one phase at a time
An aggregation setup that works in a demo can still leave broken feeds and stale data across a real book. A scoped brief, a named team, and someone accountable at each stage are what keep this one reliable in production.
Scope, fixed price
Built into your environment
Monitored and improved
Yours, improving
It starts with a fixed-price Tecla Sprint that scopes and prices the build before you commit.
Reliable enough to build every plan on
Aggregated data that is quietly wrong is worse than no data at all, because every plan and report inherits the error. What makes this one dependable is the structure around it: how it connects, how it catches breaks, and how it flags what needs a person.
Broken feeds never hide
Access without the credential risk
It keeps the connections alive
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Give every plan a complete, current picture
A scoping call maps your aggregation sources and the tools they feed, returns what the agent would keep current, and prices the fixed-price Sprint to build it.
Fixed-price AI Systems Sprint. No commitment until scope is confirmed.