Appzotic
Portfolio Axiom
AI · InsuranceEnterprise SaaSPlatform

Axiom Policy Platform

AI-native validation and reconciliation

An AI-native control plane for actuarial configuration, mapping, validation, and reconciliation.

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This product holds
  • Visual mapping studio
  • Formula designer
  • Versioned configuration graph
  • Axiom Copilot
Axiom · Ops dashboard
Product
Axiom
Industry
Insurance · AI
Platform
Enterprise SaaS
Status
Platform
Year
2026
What’s inside

The product, module by module.

Everything a client would actually use — not a feature dump, the operating pieces of the system.

01

Formula designer

Editor-quality formula authoring with validation and test against sample policy.

Actuaries can change logic without a release.
02

Mapping studio

Visual field mapping with auto-suggest and saved profiles.

New files onboard faster with a reviewable mapping.
03

AI copilot

Explain failures, suggest mappings, and draft formulas against current config.

Support work stays inside the product.
AI engineeringUX designEnterprise softwareProduct strategy
How it looks

Every view we shipped.

Click any screen to open it full size. These are the live product surfaces — dashboards, flows, and themes.

The brief

Why it exists, and what it changed.

The problem

Policy validation was expert-only: formulas, factors, and mappings lived in files that AI could not safely explain.

What we built

Design an AI-native control plane — mapping studio, formula designer, rule engine, versions, and a copilot that cites configuration.

What changed

Configuration, validation, and reconciliation sit in one governed product with an assistant for failures and mapping suggestions.

01

No-code does not mean no-control

Business users needed to edit formulas without becoming engineers — or becoming a risk.

Impact · The interface had to feel like Linear, not a spreadsheet with a chatbot.
02

Mapping confidence

Uploaded fields rarely matched the target schema one-to-one.

Impact · Auto-map suggestions needed confidence, review, and reusable profiles.
03

Explainability

A failed reconciliation is worthless if nobody can see why.

Impact · The copilot had to explain, not just generate.
How it’s built

Delivery path, stack, and system shape.

Phase 01

Configuration graph

Formulas, factors, parameters, and mappings as versioned, linked objects.

Phase 02

Visual mapping

A studio for connecting uploaded fields to the target schema with confidence.

Phase 03

Axiom Copilot

An assistant for mapping, formula generation, and exception explanation.

React
TanStack
TypeScript
Recharts
Zod
Experience
Axiom web app
Command palette
AI panel
Edge & trust
Auth
Environment switcher
Application
Config manager
Rule engine
Reconciliation
Data
Versioned tables
Audit log
Operations
Runs
Exceptions
Approvals
Encrypted in transit and at rest End-to-end observability Independently scalable services
Impact

What a buyer should feel after launch.

No-code

actuarial configuration

AI

mapping and exceptions

Audit

trail on every change

Full trail

Changes are comparable and reversible.

Explainable

Suggestions can be inspected before apply.

“Axiom looks like a modern SaaS product because the configuration graph is the product — not a chatbot bolted onto Excel.”
Product team
Axiom Policy Platform
More work

Other products in the studio.

Project FAQ

The details behind the delivery.

How long did the project take?

The core engagement ran for a platform design cycle. Discovery and architecture came first, followed by incremental releases and a structured transition into continuous improvement.

Why was this technology stack selected?

React, TanStack, TypeScript, Recharts and Zod provided the best balance of team fit, ecosystem maturity, security, delivery speed and long-term operating cost. Every major choice was documented through architecture decisions.

How were security and scalability handled?

Threat modeling, least-privilege access, automated security checks and observability were built into delivery. Load and failure testing validated the critical paths before launch.

What support followed launch?

Appzotic provided launch command, operational monitoring, knowledge transfer and a prioritized evolution roadmap. The client could choose continued product support or full internal ownership.

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Bring the workflow, the constraint, or the screenshot of what you wish existed. We’ll shape the system around it.

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