ARPS-CORE: Causal AI for Revenue Integrity

An ROI-aware reasoning engine using Gemini 3 to explain why revenue is at risk and decide the highest-impact action to save it.

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Inspiration

Mid-market companies are drowning in data but starving for insights. Leaders don’t lose revenue because they don’t care — they lose it because critical context is scattered across Slack, Jira, and CRMs, creating departmental silos that hide the true root causes of churn.

We built ARPS-CORE to move beyond vague sentiment scores and deliver Causal Business Intelligence, ensuring every retention decision is mathematically optimized rather than intuition-driven.

What It Does

ARPS-CORE is an autonomous Reasoning Engine for revenue protection. It ingests fragmented organizational signals and uses Gemini 3 to:

  • Diagnose Causal Risk
    Goes beyond correlation to identify the exact friction point — for example, a specific production bug that violates a legal MSA clause.

  • Optimize ROI
    Ranks interventions using a quantified impact formula:

    The system ranks actions by:

    Net Value = (Revenue + Liability Mitigation) − Direct Cost

  • Enforce Governed Action
    Ensures every action — from engineering prioritization to commercial concessions — complies with strict corporate policies and security standards such as SOC 2.

How We Built It

We designed ARPS-CORE using a Multi-Agent Orchestration Architecture powered by Gemini 3 Pro:

  • The Context Weaver
    Leverages the 1-million-token context window to unify months of Slack conversations, Jira tickets, CRM events, and legal contracts into a single coherent World View.

  • The Resource Allocator
    Uses Gemini 3’s thinking_level: "high" to perform counterfactual reasoning — weighing factors like the burnout cost of a senior engineer against the churn risk of a strategic customer.

  • The Policy Enforcer
    Implements strict function calling to interact with billing, identity, and project management APIs.
    By circulating Thought Signatures between agents, the system maintains a consistent, auditable reasoning chain with zero hallucinations.

Challenges We Faced

The hardest problem was Strategic Noise.

In a 1M-token context, identifying the single legal clause that turns a bug from “minor” into “critical” is like finding a needle in a haystack. We solved this using Temporal Grounding, allowing the model to prioritize information based on escalation velocity.

This made it possible to detect when rising internal frustration in Slack was a leading indicator of an impending legal or contractual threat.

Accomplishments We’re Proud Of

We successfully moved AI from a chatbot to a Strategic Controller.

One defining moment was watching Gemini 3 reject a seemingly attractive “fast-fix” that would have violated a SOC 2 security control. Instead, it proposed a complex team load-balancing strategy that preserved compliance while still reducing churn risk.

That decision demonstrated that AI, when properly governed, can uphold higher integrity than a human under extreme pressure.

What We Learned

We learned that Reasoning is the new frontier.

By introducing Thought Signatures, we created a Chain of Accountability where each agent must justify its logic to the next. The final Authorization Summary becomes as auditable and defensible as an executive-level decision memo.

This shifted trust in AI from output quality to decision integrity.

What’s Next for ARPS-CORE

Our next step is to evolve the Policy Enforcer into a full Autonomous Compliance Layer.

This will allow organizations to automate complex, high-stakes risk management across thousands of accounts — effectively giving every SME access to a world-class Revenue Operations and Compliance team.

Built With

  • causal-reasoning
  • cloud-functions
  • eslint
  • fastapi
  • firebase
  • gemini-3
  • gemini-3-flash
  • gemini-3-pro
  • github
  • google-ai-studio
  • google-gemini-api
  • google-vertex-ai
  • google-workspace-api
  • google/genai
  • javascript
  • jira
  • multi-agent-orchestration
  • next.js-14
  • node.js
  • npm
  • policy-enforcement
  • postcss
  • python
  • react
  • react-18
  • roi-reasoning
  • salesforce
  • serverless
  • sha-256
  • slack
  • soc2
  • strict-function-calling
  • structured-json
  • tailwindcss
  • temporal-grounding
  • thought-signatures
  • typescript
  • vercel
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