AI Investment Proposal & IPS Agent
Building a prospect proposal used to mean hours of statement entry, analysis, and formatting. A Proposal and IPS Agent scans the statement, analyzes the portfolio, and drafts a branded proposal and investment policy statement in minutes. It drafts; the adviser finalizes and presents.
Tecla builds it inside your environment and runs it, wired into the portfolio, CRM, and compliance tools your proposals flow into.
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The shift underway
The proposal is where a firm wins or loses a prospect, and most of the work behind it is manual data entry. AI is collapsing that from hours to minutes, which is changing how firms compete for new clients.
80%
of proposal time spent on manual intake, data entry, and formatting before automation.
Source: Investipal
~10min
to produce a branded, compliant proposal with automation, down from hours by hand.
Source: Investipal
99%
extraction accuracy reported for structured statement data in modern proposal tools.
Source: Investipal
Inside the agent
A proposal is a sequence: read the statement, analyze the portfolio, build the recommendation, generate the documents. Most of it is data work an adviser should not be doing by hand, so the agent runs it and holds the recommendation for review.
Statement Scan
Portfolio Analysis
Recommendation Draft
IPS & Disclosures
Deliver & Handoff
Human in the loop
The agent runs the data work, but it holds at the gate that matters: the adviser reviews and owns the recommendation before any proposal reaches a prospect. The agent drafts from the numbers; the advice a prospect acts on is the adviser's.
Scoped to you
This is a typical proposal and IPS build. The exact steps are scoped to how your firm runs: which statement formats you see, your models and IPS templates, and how proposals hand off into onboarding.
Related agents
Built, run, and owned, one phase at a time
A proposal tool that scans a clean statement can still stumble on a real one with odd formats and held-away accounts. A scoped brief, a named team, and someone accountable at each stage are what make this one dependable on real prospects.
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 put in front of a prospect
A proposal with a wrong number or an off-model recommendation loses a prospect and can create a compliance problem. What makes it safe is the structure around it: the agent drafts from verified data, a person owns the recommendation, and it holds for review before a prospect sees it.
The proposal traces to the statement
The recommendation is the adviser's
It keeps the paperwork consistent
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Win more of the proposals you build
A scoping call maps your onboarding chain and returns what the agent would handle end to end, what escalates to your team, and the fixed-price Sprint to build it.
Fixed-price AI Systems Sprint. No commitment until scope is confirmed.