AI Framework Proposal

Sophia Evolution
Innovation Group → Olisoft
AI Framework Proposal
Sophia Evolution — the structural transformation of Sophia from a digital chatbot into a scalable AI Interaction Layer embedded inside the physical banking network.
Executive Summary
Sophia Evolution is not an interface upgrade.
It is the structural transformation of Sophia from a digital chatbot into a scalable AI Interaction Layer embedded inside the physical banking network.
The initial request — to deploy the chatbot on a touch screen within the branch — is valid. However, executing it as a simple screen-based interaction would reduce the opportunity to a tactical implementation. What is being proposed instead is the creation of a reusable AI product framework that can operate reliably across a distributed branch network.
What This Proposal Defines
Architectural Backbone
The architectural backbone of Sophia Evolution
Phased Deployment
The phased deployment logic from MVP to national scale
Economic Structure
The economic structure of activation and rollout
Governance Model
The governance model required for long-term stability
Commercial Framework
The commercial framework that enables Olisoft to position itself beyond digital signage
The Objective Is Operational AI Integration
The objective is not visual innovation. The objective is operational AI integration.
Sophia Evolution introduces a controlled, measurable and scalable interaction layer that:
01
Pre-qualifies customer intent
Before advisor interaction
02
Reduces low-value workload
From frontline staff
03
Increases digital product adoption
04
Generates structured interaction data
05
Enhances brand perception
Through technological credibility
For Olisoft, this is not a project. It is the opportunity to establish a defensible AI-enabled infrastructure vertical.
Strategic Context
Retail banking is transitioning from static digital displays to interactive intelligence nodes. The value shift is clear: from broadcasting information to structuring interaction.
Deploying an AI avatar inside a branch environment without architectural governance leads to one of two outcomes: novelty without impact, or cost without scale discipline. The only viable path forward is to treat in-branch AI as infrastructure.
Three Realities Define This Transition
1
Physical Branches Remain Strategic Assets
While digital banking continues to expand, complex financial decisions still require human presence. AI does not replace this presence; it optimizes the flow toward it.
2
Customer Interaction Patterns Are Fragmenting
Voice, touch, and digital behavior coexist. A modern branch must integrate these modalities seamlessly rather than treating them as separate channels.
3
Cost Control and Scalability Determine Viability
An AI system that cannot operate under predictable concurrency and token economics will not survive national deployment.
Strategic Implication for Olisoft
Sophia Evolution is designed from the outset to address these realities. It is not a visual layer attached to hardware. It is an operational AI framework with defined runtime, cognition, integration and governance layers.
For Olisoft, the strategic implication is significant. Delivering Sophia Evolution as a structured AI product positions the company beyond hardware integration. It creates intellectual capital, reusable deployment logic, and recurring governance revenue.
The difference between installing screens and deploying AI infrastructure is architectural ownership.
This proposal formalizes that ownership model.
Product Definition
Sophia Evolution is defined as a structured AI-enabled interaction system designed specifically for the physical branch environment. It is not an experimental avatar deployment and it is not a marketing installation. It is an operational intelligence layer.
At its core, the product combines three interaction dimensions: voice, touch and visual embodiment. The photorealistic avatar is not included for aesthetic enhancement, but to stabilize conversational trust and reduce friction in customer engagement. In physical environments, especially in financial contexts, embodiment increases perceived credibility and continuity with the existing digital identity of Sophia.
Interaction Model
The interaction model is designed around short, high-intent exchanges. Customers approaching the system are not expected to conduct full advisory sessions. Instead, the AI layer performs structured functions:
Product Orientation & Clarification
Guiding customers through available products and services
Pre-qualification of Intent
Before advisor routing
Navigation
Across digital and physical services
Multilingual Support
Serving diverse customer profiles
Workload Reduction
Reduction of repetitive, low-value queries handled by frontline staff
The system operates under strict latency discipline to preserve natural conversational rhythm. Response times are engineered to remain within real-time interaction thresholds, avoiding the perceptual breakdown that occurs when AI responses lag.
The Product Is the AI Architecture
Sophia Evolution is therefore defined not as an isolated avatar instance, but as a modular, scalable AI node that can be replicated, monitored and governed across a distributed branch network.
This distinction is critical.
The product is not the screen.
The product is the AI architecture behind it.
Technical Architecture
The technical foundation of Sophia Evolution is structured across five coordinated layers. Each layer has a defined responsibility, ensuring that scale does not compromise stability.
This five-layer architecture ensures that Sophia Evolution can move from single-branch activation to multi-branch deployment without architectural redesign.
Architecture Layers in Detail
Physical Layer
Professional-grade display systems and edge compute units deployed according to branch tier. Standard branches utilize vertical touch displays with dedicated compute nodes and directional audio capture. Flagship branches incorporate OLED-class displays.
Runtime Layer
Responsible for real-time rendering, avatar animation and session management. Anchoring rendering at the edge reduces latency variability and protects user experience from network fluctuations.
AI Cognition Layer
Orchestrates the intelligence stack — intent recognition, contextual continuity, prompt routing and guardrail enforcement. Multilingual switching is integrated at this level.
Banking Integration Layer
Connects the AI interaction node to existing banking systems. Controls escalation flows, session lifecycle management and structured routing without exposing sensitive personal data unnecessarily.
Governance & Fleet Layer
Enables centralized oversight — runtime stability, usage patterns, version updates and cost per session. At small scale this layer may appear auxiliary; at national scale it becomes foundational.
Authorization & Session Security Model
Sophia Evolution operates within a regulated financial environment and therefore follows a structured step-up authorization architecture aligned with banking-grade security standards.
The system is designed across three clearly defined interaction levels, ensuring progressive security without compromising usability.
This progressive model ensures Strong Customer Authentication (SCA) compliance while maintaining seamless interaction flow.
Security Levels Defined
Level 1 — Informational
No authentication. No PII exposure. Includes product orientation, service clarification, general banking info, branch navigation, pre-qualification flows. Applies to Phase 0 MVP.
Level 2 — Assisted (Mobile Step-Up)
The kiosk never captures credentials. Authorization via customer's mobile device: biometric validation, device-bound approval, time-limited scope-restricted tokens. PII exposure minimized by predefined scope rules.
Level 3 — Transactional (Future)
Requires extended API orchestration, enhanced compliance supervision, formalized audit trail mechanisms. Not within MVP scope.
Security Responsibility Allocation
Olisoft / Bank IT
API gateway configuration
OAuth / OIDC implementation
Token issuance and validation
Mobile app authentication integration
Compliance logging and audit traceability
Innovation Group
Authorization trigger orchestration
Session lifecycle design
Prompt-to-auth transition logic
PII masking discipline within AI layer
Interaction-level guardrail enforcement
This separation ensures that core banking infrastructure remains under institutional control while AI-layer orchestration remains architecturally consistent.
Deployment Structure
The deployment of Sophia Evolution is structured as a controlled progression from validation to distributed infrastructure. Each phase serves a distinct purpose and builds upon the architectural integrity of the previous one.
Phase 0 — Board Validation MVP
The first phase establishes architectural credibility and functional proof. It is not a pilot in the traditional sense and it is not a production rollout. It is a controlled validation of the interaction model, runtime stability and AI orchestration logic.
During this phase, the complete avatar system is developed and rendered in a stable runtime environment. Voice and touch interaction are fully integrated, and the cognition layer is configured to demonstrate real-world banking interaction scenarios. The objective is to validate realism, responsiveness and structural scalability before any branch-level exposure.
This phase concludes with a validated system and a documented scale blueprint.
Security Scope Clarification: During Phase 0, Sophia Evolution operates strictly under Level 1 interaction (informational layer). No live core banking API integration is required. The MVP does not expose personal customer data, does not capture credentials and does not require step-up authorization mechanisms.
Phase 1 — First Live Branch Activation
The second phase transitions the system from controlled validation to real operational deployment. A single branch is selected as the first live environment.
This stage introduces production hardening: runtime stabilization under real usage conditions, edge calibration, interaction flow refinement and integration discipline. It is here that concurrency behavior and real-world interaction density are measured.
The purpose of this phase is not scale. It is operational grounding. Once completed, the system ceases to be a validated prototype and becomes an active AI node inside a banking environment.
Phase 2 & Phase 3 — Rollout to National Scale
Phase 2: Tiered Rollout
Branches categorized by size, interaction density and strategic positioning. Standard branches deploy vertical touch systems. Higher-traffic branches deploy enhanced visual systems. AI layer remains architecturally consistent across tiers.
Phase 3: National Scale
Sophia Evolution becomes distributed AI infrastructure. Emphasis shifts to governance: concurrency management, centralized version control, interaction analytics and cost discipline. Each additional branch is an activation within a defined framework, not a new technical undertaking.
The tiered approach ensures cost discipline and visual alignment without fragmenting the runtime architecture.
Tier Deployment Model
Sophia Evolution is architected as a unified AI interaction framework deployed across heterogeneous physical environments.
Tier differentiation is limited strictly to hardware class and concurrency tolerance. The AI runtime, cognition logic and governance architecture remain identical across all tiers.
This ensures architectural consistency and prevents behavior fragmentation at scale.
Small Branch Specification
Designed for standard retail locations with moderate daily interaction density.
Display Class
55" commercial-grade vertical touch display
24/7 rated
700–1000 nits brightness
Anti-glare commercial IPS panel
Edge Compute Performance
GPU equivalent to RTX 4070 / RTX A4000 class
12–16GB VRAM
Sustained 60 FPS real-time 3D rendering at 1080p
Sub-1.2 second response latency tolerance
Single-session active buffer
Concurrency Envelope
Designed for sequential interaction model. Average 1 active session at a time. Provisioned for moderate branch traffic.
Medium Branch Specification
Designed for higher-traffic locations or digitally active retail hubs.
Display Class
55"–65" commercial display
1000+ nits brightness
Enhanced viewing angle consistency
Edge Compute Performance Class
GPU equivalent to RTX 4070 Ti / RTX A4500 class
16GB+ VRAM
Increased thermal headroom
Improved sustained rendering stability
Concurrency Envelope
Single active session with rapid turnover
Elevated interaction density tolerance
Enhanced buffering for short peak bursts
Flagship Branch Specification
Designed for strategically visible or premium locations.
Display Class
OLED-class or premium transparent display
24/7 commercial-rated
High contrast architectural integration
Edge Compute Performance Class
GPU equivalent to RTX 4080 / RTX 5000 Ada class
16–20GB VRAM
Sustained high-performance profile
Dual-session tolerance buffer
Concurrency Envelope
Designed for higher dwell-time interaction
Extended conversational sessions
High visual performance stability under sustained use
Runtime Logic & Hardware Boundaries
Runtime Load Logic
The AI cognition layer remains identical across all tiers. What changes is hardware headroom and concurrency tolerance — not AI behavior. Token provisioning is calculated at network level, not per branch tier. This prevents fragmentation of inference economics.
Hardware Responsibility Boundary
Innovation Group defines performance envelopes for real-time interaction stability, avatar rendering consistency, concurrency discipline, and scalable runtime behavior.
Olisoft retains responsibility for vendor selection, final bill of materials, procurement optimization, installation methodology, and physical margin structuring.
Interaction Modeling & Flagship Strategy
Indicative Interaction Modeling
Average session duration: 2–4 minutes
Sequential interaction model per branch (no mass parallelization)
Provisioning tolerance for short peak bursts during high footfall hours
Growth buffer incorporated for digital adoption increase
This modeling logic does not define billing. It defines infrastructure resilience. AI operational provisioning is calculated at network level using concurrency buffers rather than per-branch maximum capacity.
Strategic Role of Flagship Tier
The Flagship tier is not defined solely by display quality. It represents strategically visible or architecturally prominent branch locations where brand signaling is critical, customer dwell-time is longer, interaction sessions may extend beyond orientation, and physical integration must reflect technological leadership.
This tier exists for strategic positioning, not functional differentiation.
Financial Framework
The financial structure of Sophia Evolution follows the phased deployment model and tier architecture previously defined. Each phase represents a distinct economic layer with defined scope and responsibility boundaries.
Phase 0 — Board Validation MVP
€30K
Fixed Development Fee
Innovation Group
Scope Includes
Photorealistic avatar runtime build
Voice + touch interaction orchestration
AI cognition layer configuration
Real-time latency calibration
Edge deployment blueprint
Tier scalability modeling
Security Level 1 interaction modeling
Deliverable
Production-grade runtime
Scale-ready architecture
Validated AI interaction model
Executive-level demonstrator
Excludes
Hardware procurement
Core banking API integration
Cloud infrastructure provisioning
Governance layer activation
Phase 1 & Phase 2 Economics
1
Phase 1 — First Live Branch
Economic envelope includes hardware class, installation and integration, edge compute provisioning, AI runtime deployment, security authorization layer activation.
Innovation Group Participation: AI runtime enablement, orchestration calibration, concurrency validation, production deployment supervision. Participation applies exclusively to the AI runtime layer.
2
Phase 2 — Tiered Rollout
Deployment follows the Tier Deployment Model. Economic differentiation derives from hardware class per tier, concurrency load profile, edge compute requirement, runtime capacity planning.
Innovation Group Participation: AI runtime activation, concurrency configuration, governance onboarding. Participation remains limited to AI-layer activation.
Hardware, integration, and infrastructure margins remain under Olisoft.
Phase 3 — National Scale Deployment
100-Branch Infrastructure Model
At national scale, Sophia Evolution operates as distributed AI infrastructure.
Total Economic Envelope
Physical Infrastructure
Display systems, compute nodes, audio systems
Integration Layer
Banking APIs, identity validation, security compliance
AI Runtime Layer
Orchestration, concurrency control, versioning
Governance Layer
Monitoring, updates, prompt control, compliance
Olisoft retains full commercial authority over hardware margin, integration margin, infrastructure margin, and installation margin. Target integrator margin band: 20–28%.
Activation-Based Enablement Model
Activation represents the transition from architectural readiness to operational deployment per branch.
Scope of Activation
Runtime deployment per branch
AI orchestration configuration
Concurrency tuning
Edge performance calibration
Interaction flow validation
Governance layer registration
Activation Does Not Include
Hardware procurement
Physical installation
Core banking integration implementation
Cloud infrastructure resale
Activation applies exclusively to the AI runtime and governance preparation layer.
Per-Branch Activation Fees
€1,200
Small Branch
Baseline concurrency, standard compute, single-node runtime
€2,000
Medium Branch
Elevated concurrency, enhanced compute, multi-session calibration
€3,000
Flagship Branch
Premium display class, high concurrency, advanced runtime tuning
Activation-based participation ensures direct alignment between deployment complexity and AI-layer compensation, separation of hardware and integration economics, scalable national deployment logic, and predictable cost structure per branch category.
Governance Compensation Model
Upon multi-branch deployment, Sophia Evolution operates as distributed AI infrastructure.
Governance Scope
Runtime performance supervision
Prompt architecture management
Guardrail enforcement
Version control governance
Concurrency optimization
Interaction analytics evaluation
Compliance alignment
Continuous AI performance tuning
Compensation Structure
1. Fixed Annual Retainer: Architectural continuity, runtime oversight, structured governance supervision, update discipline and version control.
2. Scaled Revenue Participation: 15% participation up to defined governance revenue threshold. 12% participation above threshold.
Participation applies exclusively to governance revenue invoiced to the bank. It does not apply to hardware resale, integration services, cloud infrastructure resale, or installation margins.
Olisoft Commercial Envelope
Sophia Evolution is structured as an infrastructure-grade AI product vertical.
Revenue Structure to the Banking Client
Initial deployment investment (CAPEX structure)
Activation-based deployment fees
Annual operational and governance services
Multi-year infrastructure agreements (3–5 year horizon)
The structure enables progressive capital allocation, scalable national rollout, recurring operational revenue, and long-term AI infrastructure positioning.
Innovation Group participates exclusively in: Phase 0 validation, AI runtime activation, and governance layer. Participation does not extend to hardware or integration resale economics.
5-Year Scale Economics
Sophia Evolution is structured as a multi-layer AI infrastructure deployment across a five-year horizon. All projections are based on a 100-branch deployment model structured across Small, Medium and Flagship tiers.
National Infrastructure & Activation Envelope
National Infrastructure Envelope
Indicative deployment mix: 60 Small, 30 Medium, 10 Flagship branches.
Projected national infrastructure envelope: €1.3M – €1.5M
Activation Enablement Envelope
AI Runtime & Governance Economics
AI Runtime (5 Years)
Token pricing: €0.05–€0.08 per 1K tokens
Per branch: €150–€220/month
Annual (100 branches): €200K–€250K
5-year envelope: €1.0M – €1.25M
Governance (5 Years)
Per branch: €2,000–€3,500 annually
Annual (100 branches): €200K–€350K
5-year envelope: €1.0M – €1.75M
IG participation: €150K–€300K
Consolidated 5-Year National Envelope
Total 5-Year Project Envelope: €3.46M – €4.66M
(Excludes optional integration extensions and identity-layer enhancements.)
Value Distribution Across Stakeholders
Sophia Evolution generates a structured, multi-party return across a 5-year national deployment. Each stakeholder operates within a defined economic boundary.
Banking Client
5-year structured investment: €3.46M – €4.66M. Secures tier-based AI infrastructure deployment, distributed runtime network, centralized governance layer, multi-year operational continuity.
Olisoft
Revenue capture: €3.46M – €4.66M. Under 20–28% integrator margin band, projected 5-year gross profit: €650K – €1.1M. Full control over margin engineering and procurement strategy.
Innovation Group
Phase 0 MVP: €30,000. Activation (100 branches): €162,000. Governance (5-year): €150K–€300K. Total 5-year envelope: €342,000 – €492,000. Exclusive to AI runtime, activation enablement, governance supervision.
Role Definition
Sophia Evolution is structured as a multi-layer AI infrastructure deployment. Clear role definition is required to preserve architectural integrity and commercial clarity.
Innovation Group Scope
Innovation Group acts as Embedded AI Strategic Partner responsible for the AI-layer architecture and its long-term structural integrity.
AI Runtime Architecture
Runtime behavior discipline, avatar interaction logic, voice + touch orchestration, latency governance, concurrency modeling, edge performance envelope definition.
Avatar Design & Identity
Avatar identity definition, visual embodiment logic, behavioral discipline, conversational rhythm, voice calibration, persona coherence, UI interaction choreography. The avatar is part of the AI Runtime Layer, not a separate marketing asset.
Activation Enablement
AI runtime deployment per branch, orchestration calibration, concurrency configuration, runtime stability validation, governance registration per node.
Governance Architecture
Prompt architecture discipline, guardrail supervision, version governance, runtime monitoring, network-level AI policy consistency, interaction quality supervision.
Responsibility Boundaries
Innovation Group Excludes
Hardware procurement
Vendor negotiations
Display selection
Physical installation
Construction or branch modification works
Core banking API implementation
OAuth / OIDC infrastructure deployment
Token issuance systems
Cloud infrastructure resale
Compliance certification ownership
Architectural Layers
Innovation Group: AI Runtime Layer, Governance Layer, Architectural supervision across scale.
Olisoft: Hardware margin engineering, Integration margin engineering, Infrastructure procurement, Commercial structuring toward the bank.
Innovation Group does not operate as a vendor. It operates as AI framework architect embedded within the product lifecycle. Its role is structural, not transactional. Architectural, not hardware-oriented. Governance-centered, not installation-driven.
Strategic Outcome
Sophia Evolution transforms:
From
Digital assistant on a screen
To
Distributed AI interaction infrastructure embedded in the physical banking network
It is scalable. It is governable. It is economically layered. It is structurally defensible.
For Olisoft, this is not a deployment opportunity. It is the foundation of a defensible AI product vertical.