For Insurance & Finance
AI Growth Lab is an end-to-end engine for insurance and finance: it scans the market, generates and stress-tests product hypotheses against synthetic buyers, and loads validated products straight into your sales network — revenue from week one.
How it works
From a market signal to a product selling in the field — one pipeline, no handoffs lost between teams. Each module feeds the next.
The market speaks constantly. This module listens — and turns signals into launch-ready product hypotheses.
Agent pipeline
Before the launch budget is committed, the product faces thousands of synthetic buyers — and tells you who buys, who walks away, and why.
The core idea
Most validation asks a focus group what they think. This module simulates how a market actually decides. Every synthetic buyer is not a persona — it's a point in a 30–50 dimensional space: demographics, financial literacy, institutional trust, and formalised cognitive biases drawn from decades of behavioral-economics research.
Around 70–80% of the axes are platform constants, reused for every product; a new product adds the rest — and that share shrinks as the platform matures. Segments are not predefined — they emerge through clustering. You discover who your real market is, instead of assuming it.
How a decision is computed
Reads how a given segment actually interprets the product: the framing, the wording, the perceived value and risk.
Applies formalised behavioural logic to produce a weighted decision, with a full audit trail behind every outcome.
The result isn't a black-box score. Every adoption number can be traced back to why a segment decided the way it did.
A validated product is worth nothing on a shelf. This module puts it in the hands of your sales network — ready to sell from day one.
Sales network — activated at once
AI Growth Lab doesn't sit on top of your business as another tool. It's built on three layers — and all three stay with you, not with us.
A portfolio of ready-made agents, each solving one concrete business problem. They're not a demo — they deploy directly into your environment and are measured from day one against real numbers. You start with one, see the impact, then expand the funnel with more.
An orchestration platform your own team runs internally — building, configuring, and managing new agents without calling us for every use case. This is where vendor independence stops being a promise and becomes a mechanism: the capability to create AI lives inside your company, not inside a contract with ours.
The layer that outlives the engagement. Trained champions embedded in every business unit, a live pipeline of AI initiatives, and a governance committee that holds standards and direction. When we leave, innovation doesn't stop — it has people, a process, and a structure to keep running.
Each layer works on its own. Together, they compound — and none of them depends on us staying.
The Green Box method
Every CirkaFlow engagement runs in a Green Box — an isolated, self-paying track that proves AI value without putting the operation that already makes money at risk.
Your operating model — the one generating revenue today — keeps running exactly as it does now. We don't refactor it, pause it, or bet it on a transformation. The business that pays the bills is never the thing under test.
Alongside it, we stand up the AI track: piloted in isolation, measured against one clear ROI question, scaled only once it proves out. It isn't a cost center waiting for someday — it's a self-paying case that generates new capabilities and new revenue streams of its own.
Two tracks, side by side. One protects what works. The other builds what's next — measurable, low-risk, and scalable from the first pilot.
Proven in production
The full pipeline — from idea selection to product validation to pilot prep — accelerated across every stage. One pilot agent first, then eight more.
Read the full insurance caseYou've seen how the engine works. A pilot puts it to work on one real product of yours — market signal to validated brief to a sales-ready pitch, in weeks. One agent, one clear ROI question, no enterprise-wide commitment.