OrchexaPowering decisions at scale
Reference Architectures

Reference architectures for regulated industries.

Orchexa deployment patterns per vertical — a four-layer runtime under one control plane, with policy posture and a compliance baseline.

5
Vertical blueprints
30 days
Fastest go-live
99.95%
Target uptime SLO
1M+
Decisions/month by design

These stats are Orchexa runtime commitments by design (capacity & SLO). Each blueprint below shows outcome ranges with citations from McKinsey, NAR, and public industry research — not results from any named customer. Contact our solutions architects for benchmarks tailored to your organization.

Commerce
+10-15%
Revenue uplift from AI personalization
+2-4%
Basket uplift from LLM chatbot
+1.2-1.9pp
Industry-wide margin lift

Source: McKinsey · Generative AI in retail (2024)

Commerce runtime — orchestrated revenue decisions.

Unify catalog, inventory, CRM, and sales channels into a single source of truth. Orchestrated agents confirm orders, route inventory, and respond to customers under your sales policy.

Decisions delivered

  • Route orders by inventory, SLA, and margin policy
  • Respond to CX with pricing and returns policy
  • Escalate when an agent exceeds its authority
RBACAudit trailPolicy enforcement

Runtime layers

Focus

L1

Data Fabric

L2

Orchestration

L3

Decision

L4

Execution

Control Plane · enforced across every layer

Banking & Financial Services
40-70%
Onboarding time reduction
up to 50%
Process cycle time reduction
~30%
Staff workload reduction

Source: McKinsey · Agentic AI in banking, KYC/AML

Financial runtime — compliant decisions at scale.

A reference architecture for regulated financial institutions. Agents orchestrate KYC, collections, and CX — every decision bound by industry regulation and internal compliance policy.

Decisions delivered

  • Classify transaction risk per internal regulation
  • Orchestrate collections workflows in regulatory compliance
  • Human-in-the-loop for above-threshold decisions
End-to-end encryptedZero trust runtimeSovereign on-prem

Runtime layers

Focus

L1

Data Fabric

L2

Orchestration

L3

Decision

L4

Execution

Control Plane · enforced across every layer

Healthcare
4-11%
Hospital cost reduction potential
up to 30%
OR slot capacity uplift
$60-120B
Annual hospital savings potential

Source: McKinsey · AI-powered, human-centered healthcare

Clinical operations runtime — orchestration under data sovereignty.

Infrastructure orchestrating appointment scheduling, follow-ups, and preliminary triage — bound by medical record protection rules and the facility's triage policy.

Decisions delivered

  • Triage symptom priority by clinical policy
  • Orchestrate appointments across HIS/EMR
  • Traceable decisions for clinical audit
Decree 13/2023Sovereign deploymentRBAC

Runtime layers

Focus

L1

Data Fabric

L2

Orchestration

L3

Decision

L4

Execution

Control Plane · enforced across every layer

Real Estate
21x
More likely to convert if reply <5 min
+40%
AI lead capture vs manual
62%
Inquiries outside business hours

Source: NAR · Industry response-time research

Property operations runtime — traceable broker decisions.

Unify CRM, MLS, and market data into a single source of truth. Agents orchestrate qualification, viewing schedules, and follow-ups under the organization's broker policy.

Decisions delivered

  • Qualify leads by budget and territory policy
  • Route viewing schedules across the brokerage team
  • Follow up by deal stage and compliance
RBACAudit trailMulti-region

Runtime layers

Focus

L1

Data Fabric

L2

Orchestration

L3

Decision

L4

Execution

Control Plane · enforced across every layer

Education
~20%
Baseline applicant → enrollment rate
85%
Applicant prediction accuracy (ML)
90%
Applicants from top-10% predicted leads

Source: McKinsey · Machine learning for student success

Education runtime — admissions and academic operations.

Orchestrate admissions, academic services, and career advisory under the institution's education policy and student data protection rules.

Decisions delivered

  • Route advisory by student profile and program
  • Orchestrate timetables and reminders by school policy
  • Traceable interactions for academic audit
Decree 13/2023RBACAudit trail

Runtime layers

Focus

L1

Data Fabric

L2

Orchestration

L3

Decision

L4

Execution

Control Plane · enforced across every layer

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