Agent

Carrier appetite check

Knowing which markets to approach is knowledge that lives with whoever has been at the firm longest. This agent reads the appetite guides and underwriting notes you have connected, and the placements your firm has actually made, and returns a shortlist with the reason and the source beside each name. It is a starting point for a conversation with an underwriter, not a substitute for one.

How it runs

Step by step

01

Connect appetite guides and notes

Carrier appetite documents, scheme guides, broker bulletins and the underwriting notes your team keeps, connected read-only.

02

Add your placement history

The record of what your firm has placed where, so the shortlist leans on your experience and not only on published guidance.

03

Describe the risk in plain English

The broker sets out the trade, the exposures and the awkward features the way they would over the phone.

04

It matches and ranks

The agent returns markets that appear to fit, each with the reason and a link to the guide or placement that supports it.

05

It marks the doubtful ones

Where a guide is old, silent or contradicted by your own experience, the agent says so instead of presenting a confident answer.

06

The broker checks the sources

Each name carries its evidence, so the broker reads the reasoning before picking up the phone. Nothing is sent to a market by the agent.

The harness

Exactly what this agent can see, touch and change

The same five controls sit behind every ollo agent. These are this one's settings — visible before you build it, not buried in an admin screen afterwards.

Context

What reaches the model

Brokers placing an unusual risk, and new joiners who do not yet carry the firm's market knowledge in their head.

Escalation

When it asks a person

This agent changes nothing outside ollo, so it runs without an approval gate. Its output is still cited and reviewable.

Applications & Rights

Which tools it uses, and what it may do in each
SharePointRead only
Google DriveRead only
NotionRead only

Verification

How you know it’s right

Every claim links to the document it came from. A statement the agent cannot cite does not make it into the output — which is what makes the result reviewable in minutes rather than re-read end to end.

Who it’s for

Brokers placing an unusual risk, and new joiners who do not yet carry the firm's market knowledge in their head.

What you’ll need

  • Appetite guides and bulletins connected
  • Placement history available to read
  • An agreed way to describe a risk
  • A broker who checks before approaching

What you get

  • A shortlist of possible markets
  • A reason and a source per name
  • A note of where guidance is stale

What it doesn’t do

Appetite guides go out of date and underwriters make exceptions. The shortlist is a prompt for a conversation, not a statement of what any market will write, and the agent neither quotes nor binds.

How you get it

We build the first one with you

Not a template you configure alone. We sit with your team, build it on real data, and hand over the controls.

01

Scope

One session with the people who actually do the work. We agree what the agent reads, what it may write, and who approves.

02

Co-build

Built on your own data, not a sandbox. You watch it being made, so you know why it behaves the way it does.

03

Handover

You own the controls. Change the context, tighten the rights, move the approval gate — without coming back to us.

What it replaces

Parts of the work currently spread across the categories below. It does not replace any of those products outright.

Appetite guide huntingAsking around the office for market ideas
Estimated savingNot setNo figure ships until someone at ollo owns it and the method behind it.

Frequently asked

Does it contact underwriters?

No. It produces a shortlist on screen and stops there. Approaching a market is a broker's judgement and a relationship matter, and an agent making the first approach would damage both.

How does it know a guide is out of date?

It reads the date on the document and compares it against your own recent placements. Where the two disagree, it flags the conflict rather than choosing, because your experience is often more current than the published guide.

Can it learn from placements that failed?

If you record them. Declines and near misses are the most useful material here, and teams that capture them get a noticeably sharper shortlist than teams that only file the wins.

Why does this one have no approval step?

Because it changes nothing outside ollo: no message, no file, no record. The broker reads the shortlist, checks the sources and decides. Gates exist where an agent would otherwise act on the world, and this one does not.

Let's Build

AI is a capability you build. Let's build it together.

30 minutes with our team and you'll leave with a real plan — not a sales pitch.