Practice the conversation before it costs you.
Build the person. Train against them. Win when it matters.
This page shows you why high-stakes conversations fail, how we build practice environments that embody the people you'll face, and what changes when you've rehearsed.
The Problem
The Lloyd's box. The broker presentation. The claims negotiation. The regulatory interview. Every critical conversation in insurance happens exactly once. By the time you know what questions they'll ask, it's already over.
You can't ask for a do-over. You can't pause to think. The preparation happened or it didn't, and everyone in the room knows which.
Why This Has Been Unsolvable
Role-playing with colleagues doesn't work. They don't know what Marcus Webb from Syndicate 2791 actually cares about. They can't simulate his thirty years in the box, his specific objections, his way of testing confidence before he tests numbers.
The person you need to practice against is the person you can't access until the meeting itself.
But what if you could build that person? Construct them from their public record, their market reputation, their decision patterns? And then practice against them until you've heard every question they could ask?
This is Data Socialisation applied to people. We gather everything knowable about an individual, put those fragments into conversation, and synthesise an interlocutor you can rehearse with.
The Solution
We build forensic profiles of the people you'll face. Then we turn those profiles into AI agents you can rehearse with: endlessly, privately, before it matters.
The simulation doesn't just ask questions. It pushes back. It probes weakness. It responds to your answers the way the real person would. You learn to read the room before you're in it.
The Spiral Applied
Simulation uses the same spiral methodology as all Deep Self work: wide gathering of information, tight compression into actionable form, repeated refinement until the synthesis holds.
Public materials, market intelligence, conference transcripts, published decisions, behavioural patterns. Everything knowable about this person.
The fragments converse in the substrate. How does this person's public record connect to their decision patterns? What do they care about? Where do they probe?
The synthesis becomes a voice. An AI agent that thinks the way they think, questions the way they question, pushes where they would push.
This is Data Socialisation applied to people, not documents.
Read the complete methodology →Profile Types
Each profile is constructed from public materials, market intelligence, and behavioural modelling. The goal isn't impersonation. It's preparation: knowing what matters to this person before you're in front of them.
Twenty years in the box. Seen every pitch. Trained to find the weakness in your presentation. Tests confidence before numbers.
Controls £40M of your premium. Knows your competitors' terms. Will push on price but values relationship consistency.
Not adversarial but thorough. Looking for gaps between stated policy and actual practice. Probes governance and risk culture.
Knows the policy better than you do. Will find coverage gaps. Trained to defend reserves. Respects preparation.
Pemberton was losing 40% of competitive presentations. Exit interviews showed the same pattern: technically sound submissions falling apart under questioning from experienced underwriters.
We built simulation environments for their top 12 target syndicates: AI agents embodying the actual lead underwriters they'd face. Brokers practised until they'd heard every question before it was asked.
The difference wasn't confidence tricks. It was genuine preparation: by the time they walked into the real meeting, they'd already had that conversation thirty times.
What You Receive
Not just profiles. A complete practice environment your team can use to prepare for any high-stakes conversation.
Deep-dive profiles of your targets: syndicates, key brokers, regulators, claims contacts. Everything knowable about how they think and what they probe.
AI agents that embody your targets. Practice environments your team can use repeatedly, privately, until the conversation becomes familiar.
Tracking of common failure points, improvement over time, and readiness assessments. Know when your team is ready before the real meeting.
Documented answers to frequently-asked questions and objection handling frameworks. The preparation becomes institutional knowledge.
The Engagement
Number of profiles needed, complexity of targets, depth of research required.
Individual simulations or full team training programmes depending on your needs.
All simulation infrastructure runs inside your own environment. You retain full ownership.
Stop practising on live prospects.
Every lost presentation was winnable with better preparation.
We build the environment where your team gets ready.
Simulation is Product 02 of the Deep Self Insurance suite.