Potentiacta Platform Overview

ESG Impact Metrics Generator

Prepared with Jazters AI Lab as Technical & Product Architecture Partner

Executive Overview

Potentiacta is an ESG impact metrics generator: a platform that makes future demand for goods and services programmable.

We enable achievement of specific ESG outcomes by offering users access to service bundles not through traditional payment, but via guaranteed usage commitments. Those commitments can be translated into a calculable aggregate economic effect and reported as ESG impact metrics.

The initial release features the Base Digital Services Basket, a digital layer that underpins the full Guaranteed Basic Needs Basket. Using services in this digital layer, Potentiacta captures user preferences and, from that data, assembles subsequent layers: curated packages of goods and services that can be included in the Guaranteed Basic Needs Basket when they satisfy the target ESG impact metrics.

Value proposition

Potentiacta converts consumption, typically an unpredictable economic variable, into a programmable and measurable value.

Strategic Context

Modern economic activity is still largely built around unpredictable consumption: companies, financial institutions, and public programs often cannot determine in advance where, when, and at what volume real demand will emerge.

The ESG market faces a similar problem: impact is often difficult to connect to specific actions, transactions, consumption, and verifiable outcomes.

Potentiacta addresses this through a programmable basket of goods and services.

Instead of only forecasting demand, the platform defines a structured set of services and consumption that can be:

• delivered to the user as an entitlement;
• accounted for as service usage;
• converted into Impact Credits;
• connected to ESG-impact metrics, including carbon accounting;
• used as a programmable consumption output;
• prepared for reporting, verification, and capital-market instruments.

The first practical layer is a digital services basket. The digital layer was selected as the starting point for the pilot because it can be launched faster, measured more precisely, and used to validate the Impact Engine architecture through concrete usage data.

Core Concept

The core logic of Potentiacta is simple:

The user receives access to services.
The platform accounts for usage.
The Impact Engine converts usage into measurable economic, social, and environmental metrics.
The buyer purchases programmable ESG impact, not user data.

Key concepts:

GBNB — Guaranteed Basic Needs Basket
A guaranteed basket of basic goods and services designed to eliminate measurable basic-needs deprivation within the pilot group.

GDAP — Guaranteed Digital Access Package
The digital layer of GBNB: prepaid access to AI, productivity tools, meeting services, translation, platform access, and support.

Pilot Base Digital Services Basket
The first operational digital basket of the pilot, designed for 1,000 participants.

Impact Engine
The architectural layer that accounts for service usage, Impact Credits, cost, kWh, CO₂, Carbon Reserve, ESG-impact metrics, and programmable consumption.

Impact Credits
The top-level accounting unit of the entire basket, used to normalize different types of services inside one impact model.

Pilot Scope

The first pilot is designed for 1,000 participants.

The pilot starts with the Pilot Base Digital Services Basket — the digital layer of the Guaranteed Basic Needs Basket (GBNB). This layer includes AI, productivity tools, meeting services, translation, platform access, support, operations, R&D, and ESG accounting.

The metrics below refer to the current Digital Services Basket scope only. This digital basket is the first unconditional component of the broader GBNB and is used to identify user preferences, usage patterns, and service needs required to form the full basket of goods and services.

As the pilot progresses, the broader GBNB is expected to expand beyond digital services into additional goods and service categories. The target is to expand the overall basket to more than $1,000 per user / month, creating an annual programmable consumption flow exceeding $10M for 1,000 participants.

The current digital layer creates the first measurable operating layer of the GBNB and provides the data foundation for expanding the basket into additional goods and services.

Pilot Base Digital Services Basket

Pilot Base Digital Services Basket is the first practical services package delivered to participants through GDAP.

It is not a single AI product. It is a composite digital basket where each service layer has its own usage logic, cost logic, and impact methodology.

AI Services

The AI layer includes premium AI capabilities and a set of productivity / execution services.

The basket includes:

• GPT-class models, Claude, Gemini, and other model families;
• AI Orchestrator;
• model / tool routing;
• search / grounding;
• deep research;
• document analysis;
• planning;
• task orchestration;
• content generation;
• code execution;
• image generation;
• video generation;
• audio / TTS;
• realtime voice where applicable;
• preference detection;
• basket formation logic.

The AI layer is used not only to answer prompts, but also for analysis, planning, task execution, user preference detection, and support for a future personalized basket of goods and services.

Meeting Services

The basket includes meeting services with AI-assisted intelligence and synchronous translation.

This layer may include:

• basic online meetings;
• AI-assisted meeting intelligence;
• live / final transcripts;
• speaker identity;
• decisions;
• action items;
• briefs;
• meeting memory;
• synchronous translation;
• external guest usage attribution;
• post-session summaries;
• follow-up structures.

Meeting services are accounted for separately from AI Usage Allocation because they have their own native usage units, separate translation minutes / hours, separate cost logic, and their own carbon methodology.

Platform Layer

The Platform Layer enables the digital basket to function as an operational layer.

It includes:

• platform access;
• dashboard;
• monitoring;
• operations;
• support;
• technical support;
• product support;
• R&D;
• program reserve;
• reporting infrastructure;
• security / audit support;
• data and knowledge-base operations.

This layer ensures the stable operation of the Impact Engine, service integrations, reporting, user access, and support.

ESG Accounting

ESG Accounting is a cross-functional accounting layer of the Impact Engine, including carbon metrics as one of its measurable components.

It includes:

• Impact Credits accounting;
• kWh tracking;
• CO₂ accounting;
• carbon reserve;
• Carbon Removal reporting;
• Carbon Handprint logic;
• SDG / ESG metrics;
• impact reporting;
• service attribution;
• basket-level accounting.

ESG Accounting connects service usage to measurable impact indicators and forms the basis for ESG reporting and verification.

Impact Engine Architecture

Impact Engine is the central architectural layer of Potentiacta, designed to measure, normalize, and connect service usage with Impact Credits, carbon accounting, ESG-impact reporting, and economic impact metrics.

The Impact Engine operates as a system layer for the entire base basket.

User Activity / Service Usage
→ Impact Engine
→ Service Usage Adapters
→ Billing Microservice
→ Impact Credits Ledger
→ ESG Accounting
→ Impact Reporting

AI Orchestrator

The AI Orchestrator is responsible for AI-specific tasks.

It:

• determines which models, tools, and services are required to execute a task;
• routes tasks between LLMs, search, code execution, media generation, voice, and other tools;
• supports planning and task execution;
• helps detect user preferences;
• participates in the formation of personalized basket logic.

The AI Orchestrator is a component of the AI layer inside the Impact Engine.

Service Usage Adapters

Each service layer has its own Service Usage Adapter.

AI usage, meeting services, translation, platform operations, and future goods/services layers have different usage units, costs, carbon factors, and impact methodologies.

A Service Usage Adapter converts the native usage of a specific service into a format that can be accounted for by the Impact Engine.

Examples:

• AI Usage Adapter accounts for AI Usage Units, model calls, AI service usage, kWh, and CO₂;
• Meeting Services Adapter accounts for meeting usage, AI-assisted minutes, translation minutes, transcripts, briefs, and memory events;
• Platform Operations Adapter accounts for platform operations, support, monitoring, R&D, and operational proxy metrics;
• Future Goods & Services Adapter will account for goods and services in the expanded GBNB model.

Billing Microservice

The Billing Microservice records actual service usage.

It calculates:

• Impact Credits;
• service-specific usage units;
• cost accounting;
• kWh;
• CO₂ impact;
• Total ESG impact;
• accounting metrics.

The Billing Microservice receives usage events from service layers and records them in a unified accounting model.

Impact Credits Ledger

The Impact Credits Ledger records:

• allocation;
• usage;
• balances;
• service attribution;
• basket-level accounting;
• the connection between service consumption and impact reporting.

The Impact Credits Ledger turns the service basket into a unified programmable impact model.

ESG Accounting Layer

The ESG Accounting Layer aggregates data from different service layers and forms the overall impact picture, including carbon metrics as one of the measurable ESG components.

It is responsible for:

• total kWh;
• total CO₂ impact;
• Carbon Reserve;
• Carbon Removal target;
• Carbon Handprint;
• SDG / ESG reporting;
• basket-level impact metrics.

Primary calculations are performed separately across service layers through Service Usage Adapters. The ESG Accounting Layer consolidates these calculations into a unified reporting model.

Impact Credits

Impact Credits are the universal accounting unit of the base basket.

Impact Credits are not:

• LLM tokens;
• native meeting-service tokens;
• a blockchain token;
• a user-facing crypto asset;
• a separate currency.

Impact Credits make it possible to normalize value and usage across different services inside one basket model.

For the current Digital Services Basket scope:

$450 / user / month = 135,000 Impact Credits / user / month

This is the working conversion of the current digital basket value into Impact Credits. Impact Credits reflect the accounting value of the service basket and are not limited to AI usage.

The AI layer has its own internal accounting unit — AI Usage Units.

Meeting services have their own native units.

Platform Operations are calculated through an operational / proxy methodology.

The Impact Engine combines these levels into one accounting structure.

ESG Impact Measurement

ESG-impact measurement inside Potentiacta is not calculated through one universal coefficient applied to all Impact Credits.

Each service layer has its own methodology. Carbon accounting is one of the measurable ESG components, but not the only impact layer.

The current model includes:

Carbon Removal example:

Remove approximately 1,100 metric tons of CO₂ to offset the calculated carbon footprint of the current Digital Services Basket usage, corresponding to SDG 13: Climate Action.

This figure applies to the current digital services scope only. As the broader GBNB expands into additional goods and services, the ESG and carbon calculations will expand accordingly.

Carbon Removal will be tracked through verified carbon removal / carbon crediting standards and registries, including Verra VCS, Gold Standard, or both, subject to final standard selection.

Economic Impact / Programmable Consumption

GBNB creates prepaid targeted consumption.

Consumption is not only forecasted, but structured in advance through a defined basket of goods and services.

Programmable consumption can be connected to the consumption component of GDP through measurable spending flows, input-output modeling, and impact reporting.

This layer shows how GBNB goods and services generate a measurable contribution to economic activity.

Prepaid access creates predictable service usage.
Predictable service usage creates measurable spending flows.
Measurable spending flows can be modeled as programmable consumption.
Programmable consumption can be connected to broader economic impact through input-output analysis and reporting.

The detailed econometric logic belongs to the internal economic model and detailed documentation.

Business Model

The user does not pay directly for access to the base basket.

Services are provided as a prepaid entitlement inside GBNB / GDAP.

Platform ARR is generated from buyers of programmable ESG impact packages.

This is not a user data monetization model.

The economics are built around:

• prepaid service access;
• measurable service usage;
• programmable consumption;
• carbon accounting;
• ESG-impact reporting;
• ESG-impact metrics, including Carbon Removal;
• recurring purchase of measurable impact results.

Current Digital Services Basket economics:

The first pilot route assumes a buyer of programmable ESG impact interested in measurable socio-economic and ecological outcomes.

The current figures describe the Digital Services Basket scope. The broader GBNB is expected to expand during the pilot through additional goods and service categories, increasing the programmable consumption flow beyond the current digital-only run-rate.

Architecture Differentiation

Potentiacta is architecturally different from a standard AI product.

AI is one service layer inside a broader impact architecture.

Potentiacta:

• aggregates digital services into a base basket;
• accounts for service usage;
• converts service usage into Impact Credits;
• calculates kWh and CO₂ impact;
• connects service usage to ESG-impact metrics;
• forms programmable consumption;
• creates measurable impact outputs;
• prepares the foundation for future ESG / capital-market instruments.

The platform’s value lies in the connection between service usage, programmable consumption, and measurable ESG impact.

Technical & Product Architecture Partner

Jazters AI Lab is the technical and product architecture partner for the Potentiacta platform.

Jazters AI Lab is responsible for:

• technical architecture;
• product architecture;
• Impact Engine setup;
• AI / service orchestration architecture;
• service adapter architecture;
• integration design;
• pilot platform setup;
• implementation guidance;
• platform operations;
• full technical support layer;
• full product support layer;
• ongoing support and iteration.

The core role of Jazters AI Lab is to translate the economic thesis and impact model into a working platform architecture.

Jazters AI Lab leads the technical and product architecture of the Potentiacta platform and provides the full setup and support layer required to translate the economic thesis into an operational Impact Engine.

Angel Investment & Resource Context

This section outlines the resource areas required to execute the pilot, scale the model, and prepare ESG-impact metrics for capital-market use.

Potential areas of collaboration include:

• investment;
• ESG market expertise;
• fintech expertise;
• capital-market structuring;
• ESG impact metrics-based bonds expertise;
• underwriting access;
• institutional buyer access;
• valuation perspective;
• strategic distribution;
• audit / record infrastructure where relevant.

At this stage, the primary interest is capital, ESG-market expertise, fintech / capital-market structuring, institutional access, and infrastructure support for scaling the pilot.

Available Documents Upon Request

Detailed documents exist as separate internal / extended materials.

They may be provided selectively after mutual interest and appropriate legal / commercial framing.

Available document categories include:

• Impact Engine Architecture;
• Pilot Base Basket Model;
• AI Usage Units Model;
• Meeting Services / Sessions Model;
• Basket Carbon Model;
• Strategic / Financial Model;
• Technical Implementation Notes;
• ESG / Carbon Reporting Notes.

These documents are not distributed as open public materials.

Extended materials are shared selectively after a short company verification, NDA confirmation, and document-access review.

Request Document Access

Submitting a request does not guarantee access. Certain materials may require additional verification or legal / commercial review before access is granted.

Knowledge Base / Suggested Questions

For initial orientation, project knowledge resources can be used.

At onmonetary.com, the Theory of Predictable Money can be explored.

Suggested questions:

• Explain the Theory of Predictable Money in simple terms.
• What is Potentiacta?
• What is the Guaranteed Basic Needs Basket?
• What is the Guaranteed Digital Access Package?
• What is the Impact Engine?
• How does the Impact Engine measure ESG impact?
• How does programmable consumption relate to GDP?
• What is the pilot model?
• What services are included in the digital basket?

Final Statement

Potentiacta is not an early-stage product with undefined demand and undefined economics.

The first pilot is structured as a programmable market model where service delivery, demand formation, impact metrics, revenue logic, and margin logic are modeled from the first stage.

For investors, this creates a rare early-stage case where valuation can be discussed against programmed revenue flows, measurable impact outputs, and a defined pilot architecture rather than abstract projections.

The platform is designed to scale the flow of measurable ESG-impact metrics for clients and support future capital-market instruments based on those metrics.

Jazters AI Lab provides the technical and product architecture, platform setup, and full support layer required to turn this model into an operational platform.