Sovereign Knowledge-Yielding Logical Agents

Voice AI that doesn't
listen better.
It acts correctly.

The problem is not that AI cannot talk. It's that it cannot be trusted to act. SKYLA wraps AI inside deterministic policy enforcement — so every workflow executes correctly, compliantly, and without hallucinating a single step.

▶ Try FNOL Demo Live How It Works ↓
EU AI Act Compliant GDPR Native Sub-200ms Zero Hallucination Architecture Multi-Tenant SaaS
Agentic Runtime Fabric — SKYLA Architecture
Layer 1 — Listen
Predictive Flow Manager
STT / TTSProsodyIntent PredictionInterruptions
↓
Layer 2 — Think
Neuro-Symbolic Reasoner
Neural EmbeddingsCausal GraphsRAGWorld State
↓
Layer 3 — Act (ARF Core)
Policy-Constrained Planner
OPA / RegoSafety GovernorConfidence GatesStep Order
↓
Layer 4 — Integrate
AIS Registry + GER Audit
SAPSalesforceGuidewireAny OAuth2 API
The ARF principle: LLMs propose. Deterministic logic decides. The AI cannot execute a non-compliant action — regardless of what the user asks.
€50B
EU customer experience market impacted by voice AI inefficiencies
25%
Productivity loss from manual coordination across SaaS silos per organisation
50–80%
Of administrative workflows SKYLA can automate end-to-end without escalation
4%
Revenue at risk from EU AI Act and GDPR non-compliance — per regulation
CX Journey Orchestrated by SKYLA

One caller. Every system. One session.

SKYLA acts as the intelligent orchestration layer between the caller and all enterprise systems — executing every step deterministically, in compliant order, without a human agent in the loop.

Customer Experience Journey Orchestrated by SKYLA Diagram showing a caller connecting to SKYLA AI Orchestrator, which accesses ten enterprise systems and delivers a confirmed resolution "I've called twice already. Fix this." 👤 CALLER SKYLA AI Orchestrator PLAN · EXECUTE · COMPLY SYSTEM ACCESS & TOOLS 🪪 Identity Confirm 📚 Knowledge Base 🛡 Policy & Coverage 📦 Order Management 👥 CRM / Records 💸 Process Refund 🔍 Check & Fraud 📅 Book Appointment 🗓 Scheduling 💳 Payment Gateway RESPONSE & RESOLUTION ✓ Claim filed · Appointment confirmed · SMS dispatched · GER audit record created · Zero hold time · Zero re-entry confirmed response
Sub-200msFirst-word to confirmed action
0 holdCaller never put on hold
0 re-entryData written once, carried everywhere
100%Steps enforced by policy — unskippable
GERAudit record on every invocation
The Problem We All Recognise

We've all been stuck on hold.
It's fatal for businesses.

The problem is not that AI cannot talk.
It's that it cannot be trusted to act.

Nearly 50% of consumers walk away after just one bad experience. Current voice AI focuses on sounding human. They all share the same structural failure: humans remain the safety and execution layer. SKYLA closes that gap permanently.

Voice triggers verified actions. Real-time updates across all enterprise systems. Deterministic, policy-bound workflows the AI cannot deviate from.

⏱
8–10 minutes average handling time
Agents navigate 3–4 disconnected systems live during the call — re-entering data at every step while keeping the caller engaged and emotionally managed.
⚠️
Compliance steps skipped under volume
Fraud checks, required field validation, mandatory disclosures — all optional in practice when agents handle 50–70 calls per day under sustained time pressure.
🎲
Generic AI guesses — regulations don't
Probabilistic LLMs cannot guarantee step order, validation, or compliance. GDPR and the EU AI Act are deterministic. You cannot probability-guess your way through them.
The Market Gap

Listening vs. Doing

Most voice AI today
Focused on sounding human
Better speech recognition and transcription
Probabilistic guessing at intent
Human remains the execution layer
Cannot guarantee step order or field validation
Compliance is a post-hoc checkbox
Customers care if the refund is processed — not if the bot understood the word "refund."
→
SKYLA
Focused on acting correctly
Voice triggers verified, policy-bound actions
Deterministic execution — not probabilistic guessing
AI executes across systems; humans review only edge cases
Step order enforced by symbolic rules — unskippable
Compliance is architectural — PII redacted before any LLM call
SKYLA agents don't guess. They either complete the task correctly — or refuse to act.
The Core Innovation

Three algorithmic breakthroughs.
One agentic runtime.

SKYLA is not a better chatbot. It is a Neuro-Symbolic agentic system — a hybrid engine blending neural intelligence with causal logic to guarantee deterministic outcomes in real-time voice.

Layer 1
Listen
Predictive Flow Manager
A multimodal model that fuses audio cues, prosody, and semantic context to predict intent before the user finishes speaking. Handles interruptions, corrections, and non-linear disclosures natively.
Solves the interruption problem. Natural conversation for elderly users, complex accents, and emotionally charged calls like FNOL.
Layer 2
Think
Neuro-Symbolic Reasoner
A hybrid engine blending Neural Embeddings (for nuance and emotion) with Causal Graphs (for logic and facts). Maintains world state across multi-step workflows — even through interruptions and corrections.
Drastically reduces hallucinations. Understands the difference between a user "venting frustration" and "changing a database field."
Layer 3
Act
Policy-Constrained Planner
Compliance as code, not a suggestion. By combining Symbolic Policies (OPA/Rego) with LLM scoring, SKYLA creates a deterministic Safety Governor. The AI cannot execute a non-compliant action — regardless of what the user asks.
Guarantees 100% adherence to EU AI Act, GDPR, and tenant-specific rules. Every action is audit-ready before it executes.
From Call to Resolution

One call. Every system. No rip-and-replace.

📞
Caller speaks
Natural voice — interruptions, corrections, and accents handled natively
→
🎙
Intent predicted
STT + Predictive Flow Manager resolves intent before utterance completes
→
🛡
Policy cleared
OPA Safety Governor validates action against tenant rules, GDPR, EU AI Act
→
⚙️
System executed
AIS Registry writes to CRM, claims, scheduling — schema-validated before commit
→
✅
Confirmed live
Voice + SMS confirmation to caller. GER audit record created atomically.

End-to-end: sub-200ms · Integrates with SAP, Salesforce, Guidewire, Duck Creek, and any OAuth2 API · No custom development per tenant

Where SKYLA Works

Initial focus: regulated, high-volume,
rules-driven voice processes.

Where unsafe automation fails fastest — healthcare, insurance, public services. If it works safely here, it works everywhere.

🏎
FNOL — Motor Claims
Dutch non-life insurance · Primary wedge · Live demo available
  • Identity & policy verification in real time — no hold required
  • Accident detail extraction from natural, non-linear conversation
  • Mandatory fraud check — cannot be skipped by the agent
  • Zero-error claim file creation with schema validation before write
  • Assessor appointment booked and confirmed within the same call
See the FNOL Demo →
🏥
Healthcare Back-Office
Clinical admin · GGZ waiting list mediation · Appointment handling
  • Frees clinicians from manual verification and admin calls
  • GGZ wachtlijstbemiddeling — matching patients to available capacity
  • Identity verification and record updates under strict data rules
  • Multi-step workflows with deterministic rollback on failure
Request Healthcare Briefing
📋
High-Volume CX
Retail · Telecom · Public services · Rules-heavy processes
  • Orders placed, updated, cancelled, tracked — in one call
  • Identity verified and records updated across all systems
  • Appointments booked, rescheduled, or cancelled autonomously
  • 50–80% of repetitive workflows handled without escalation
Discuss Your Use Case
Our Business Model

We don't just charge for usage.
We charge per successful resolution.

We align our success with yours — every billing event is a confirmed, completed outcome. If SKYLA doesn't resolve, you don't pay.

€2–5M
ROI for regulated institutions
in year one
70%
Faster deployment vs
traditional integrations
2–4wk
Onboarding per new
insurer tenant
Enterprise Grade

Built for regulated enterprise.
Not a pilot — a platform.

🛡
Built-in AI Governance
PDP/PEP policy enforcement, PII redaction before any LLM call, data-class rules and egress controls. Every AI action verified, compliant, and fully auditable.
⚡
Fastest Implementation Journey
Standardized AIS capability layer across SAP S/4HANA, M365, Salesforce, Guidewire, and any internal API. 2–4 week onboarding. Zero disruption to existing stack.
🌐
Works Across Your Entire Landscape
One AI agent framework that unifies contact centres, back-office systems, and global teams. Eliminates tool and integration fragmentation at the source.
🔓
No Vendor Lock-In
Works with your preferred LLM — OpenAI, Anthropic, Gemini, Mistral, on-premises Llama. Multi-cloud and hybrid deployment. Strategically flexible long-term.
⚙️
Zero Engineering Overhead
Tone, locale, logic, workflow steps — all configurable per region or team. No code changes needed. 100% config and prompt-pack driven per new insurer or department.
🧠
True Contextual Memory
Redis-backed session memory keeps multi-step workflows consistent through interruptions and corrections. Zero hallucinations, zero context loss, zero surprises.
Why This Is Hard

Five complexity barriers that break
every other approach.

Real enterprise voice is not a chatbot problem. It is a scientific challenge. SKYLA was built to solve these five barriers that generic AI cannot overcome.

1
Combinatorial Explosion
"Cancel my order" is not one action — it is a branching tree of dozens of condition checks, lookups, and outcomes. Standard AI gets lost in the math.
→ Solved by: Causal graph planning with bounded search
2
State Drift — The Amnesia Problem
In live conversations with interruptions, LLMs lose track of world state — forgetting what has been confirmed versus what is still pending.
→ Solved by: Neuro-symbolic world-state memory
3
The Compliance Gap
Generative models are probabilistic — they guess. Laws like GDPR and the EU AI Act are deterministic — yes or no. You cannot probability-guess your way through compliance.
→ Solved by: OPA/Rego Safety Governor — hard rules
4
Temporal Dependencies
Workflows must happen in order: Check → Book → Confirm. If step 2 fails, step 1 must roll back. LLMs cannot reason correctly in time across multi-step transactions.
→ Solved by: Deterministic step ordering with rollback
5
The Reality of Voice
Real humans interrupt, mumble, and speak over the bot. Emotionally charged calls like FNOL add unpredictability. Static chatbot loops break immediately under acoustic chaos.
→ Solved by: Predictive Flow Manager + semantic turn segmentation
SKYLA's full solution stackNeuro-symbolic memory · Policy-constrained planning · Causal graph reasoning · Semantic turn segmentation · Deterministic fallback strategies · Hierarchical multi-agent coordinator
100%
policy adherence
by architecture
<200ms
end-to-end
voice latency
0 code
per new
tenant
Compliance by Architecture

Not a checkbox. Structural.

🇪🇺
EU AI Act — by design
Every ARF invocation produces a Governed Execution Record (GER) — tenant ID, session, policy decision, outcome — ready for regulatory audit. No retroactive compliance.
🔒
GDPR — PII redacted before LLM
PII redaction runs before any LLM call. OPA-backed policy enforcement governs field-level data access. EU data residency enforced at infrastructure level.
🏦
DNB-ready for Dutch regulated sectors
Designed for DNB-regulated environments including non-life insurance and healthcare. Audit logs ready for Dutch financial regulator review formats.
🏗
Multi-tenant isolation — hard boundary
Every tenant is fully isolated. Credentials, policy rules, and data never cross boundaries. One deployment, N insurers — each with zero visibility into the other.
Governed Execution Record
Every ARF action produces an immutable, timestamped audit record — ready for regulatory review at any point.
tenant_idcentraal-beheer-prod
session_idfnol-20260417-8a3f
stepfraud_check
policy_decisionPERMIT
pii_redactedtrue
action_executedclaim_file.create
outcomeCONFIRMED
latency_ms142
eu_data_residencyENFORCED
Get Started

See SKYLA handle
a real workflow.
Live.

No slides. No recordings. Try the live FNOL demo — SKYLA will call your phone and execute a complete motor claims intake: identity verification, accident details, fraud check, claim creation, and appointment booking.

🇳🇱 EU-hosted · GDPR compliant · Live ARF infrastructure — not simulated
🎙
Try the FNOL Demo Live
SKYLA calls your phone · Full 5-step intake · No app needed · Motor claims scenario
📐
Book an Architecture Call
30 minutes · No sales deck · Direct conversation with the founding architect
🤝
Discuss a Partnership
System integrators · EEN partners · Regulated industry pilots · Achmea portfolio