Codena  /  Client Interaction

AI-Augmented Customer Interaction

Customer interaction is becoming an architecture problem, not a tool problem.

Enterprises are deploying AI into customer interaction in too many separate places — a voicebot here, an agent copilot there, AI inside the CRM, automation in the back-office processes that pick up after the call. Each piece works in isolation. None of them adds up to one customer experience. Codena does the architecture that makes the whole stack work as one system.

4
Layers in the stack — interaction, AI, CRM, low-code workflows
2
Kinds of AI agents — frontend in the conversation, backend in the process
10+ yrs
Specialty in regulated-industry customer interaction architecture
1
Architecture — not four disconnected initiatives

The Problem

Four AI initiatives. None of them talking to each other.

The typical enterprise running customer interaction in 2026 has at least four AI programmes in flight, owned by different teams, on different platforms, with different success metrics. They were never designed to work together. The result is exactly what you would expect: tools deploy, customer experience does not improve.

01
Fragmented Initiatives
Contact center buys a voicebot. CX buys agent copilots. The CRM team buys Agentforce. Operations automates back-office workflows separately. Four budgets, four roadmaps, four vendors — and no one accountable for the whole thing.
02
Tools Without Architecture
Every platform now ships agentic AI capabilities. Genesys has agents, Salesforce has agents, low-code platforms have agents. Buying the agents is easy. Designing how they work together — which agent owns which decision, where the data flows, how handover happens — is the work that no one is doing.
03
The Disconnect After the Call
The bot works. The conversation completes. Then the case sits in a queue, because the back-office process that has to act on it does not know the bot ever spoke to the customer. The interaction layer succeeds and the customer experience still breaks.

The Solution

One architecture. From the conversation to the systems behind it.

Codena sits between the business demand and the platform supply as the architectural layer that ties them into one system — never a vendor, never an integrator competing with the SI you already use. The senior architecture work plus a curated specialist network for delivery.

Demand
Contact Center Operations Customer Experience Regulated Industries Service & Sales Digital Channels Back-Office Automation
The Coordinating Layer
Codena Customer Interaction Architecture
Senior Architecture Build-vs-Buy Frameworks Cross-Boundary Design Network Delivery Governance & Evolution
Supply
Contact Center Platforms Conversational AI & Agentic Platforms CRM & Case Management Low-Code Workflow Platforms
Architecture First
Senior design before any platform decision. The build-vs-buy answer per use case — not per vendor.
Platform-Aware, Platform-Neutral
Deep knowledge across Genesys, Salesforce, conversational AI and low-code platforms. No vendor partnership that compromises the recommendation.
Cross-Boundary Design
The interaction layer and the execution layer designed together, not handed off across vendor boundaries.
Senior + Network
Senior architecture from a recognised practitioner. Specialist delivery from a vetted network of partner companies.

The Stack

Four layers. Designed as one system.

Each layer has its own platforms, its own owners, its own success metrics. That is fine — until they need to act as one. The architecture work is in the design across the layers, not in each layer separately.

01
Interaction Layer
Voice, chat, messaging, email Channel routing & orchestration Agent desktop & copilot Real-time conversation handling
Platforms: Genesys Cloud, Salesforce Service Cloud, Sprinklr
02
AI Layer
Frontend agents in the conversation Intent classification & routing Knowledge retrieval & grounding Guardrails, evaluation, governance
Platforms: Genesys AI, Salesforce Agentforce, Fin, Kore.ai, Cognigy, Microsoft Copilot Studio
03
CRM & Case Layer
Customer record as system of truth Case creation & lifecycle Context delivered to human agents Cross-channel customer history
Platforms: Salesforce Service Cloud, Microsoft Dynamics 365, vendor-specific CRMs
04
Low-Code Workflows
Back-office process execution Multi-system orchestration Backend agentic AI in processes Human-in-the-loop where it matters
Platforms: OutSystems, Mendix, Appian, ServiceNow

AI Agents

Two kinds of agents. Two kinds of work.

The agentic AI wave is producing agents in both the interaction layer and the execution layer. They look similar in vendor demos. They are very different in what they do well. The architecture work is knowing which agent belongs where — and how they hand work across the boundary between them.

FRONTEND
Agents in the Conversation
Real-time, customer-facing, latency-sensitive. Optimised for voice and chat, interruption handling, conversational quality, handover to humans. Run on contact center and conversational AI platforms. Where Genesys Cloud, Salesforce Agentforce, Fin, Kore.ai and Cognigy compete.
  • Sub-second response budget
  • Streaming voice and dialog management
  • Customer-facing tone and brand
  • Handover discipline to live agents
BACKEND
Agents in the Process
Process-facing, system-facing, latency-tolerant. Optimised for tool use across backend systems, exception handling, long-running orchestration with humans in the loop. Run on low-code workflow platforms. Where OutSystems, Mendix, Appian and ServiceNow have built native agentic capabilities.
  • Minutes-to-hours response budget
  • Multi-system tool calling
  • Process state and audit trail
  • Human approval at the right gates
The boundary is where most programmes get stuck. The frontend agent finishes the conversation; the backend agent picks up the work. The handover contract between them — what context transfers, what state is preserved, where the audit trail lives, what fails open vs. fails to a human — is exactly the architecture decision that no platform vendor will make for you.

How We Work

Senior advisory plus network delivery. Architecture and execution, not handed off.

Codena is not a body-shop. Engagements start with senior architectural work — defining what to build, how it integrates, what the governance looks like. Where delivery capacity is needed, the curated network executes against the architecture we set, not against a vendor pitch.

01
Senior Architectural Advisory
Two decades of customer interaction work, recent specialty in AI-augmented architecture across regulated European enterprises. Active engagements in banking, insurance, and manufacturing.
02
Build-vs-Buy Frameworks
Documented per-use-case decisions on which platform handles which workload, with measured benchmarks against the actual customer conversations — not vendor slideware. Defensible to procurement, to risk, and to your operations leadership.
03
Delivery Through Network
Vetted specialist companies across contact center platforms, conversational AI, and low-code workflows. Procurement contracts with Codena as a single supplier; we stand behind the network.
04
Governance & Evolution
The platforms in this stack are evolving fast. The architecture has to absorb capability changes from Genesys, Salesforce, the low-code platforms and the conversational AI specialists without requiring rework. Ongoing advisory keeps the design current.

Sectors

Where the architecture matters most. Regulated industries.

Customer interaction in regulated industries is where the architectural discipline pays off most: the cost of getting it wrong is real, the cost of getting it right is measurable, and the integration boundary between conversation and execution carries real consequences.

Banking & Insurance
Voicebots, conversational AI, agent copilots integrated with core policy and case systems. BaFin, FINMA, AI Act, DORA in scope. Recent work includes a Swiss banking group (CCaaS & conversational AI selection) and a German legal-protection insurer (voicebot redesign).
Banking · Insurance · Legal Protection
Manufacturing
Global service centers, multi-language contact handling, integration of AI case classification with Salesforce Service Cloud. Recent work with a German medical device manufacturer on Salesforce-Genesys-AI integration for international service rollout.
Industrial · Medical Devices · Capital Goods
Retail & Consumer
Multi-channel customer service, outbound automation, AI integration with commerce and loyalty systems. Background includes retail platform work and customer communication architecture for European consumer-facing brands.
Retail · Consumer Goods · Telco-Adjacent

For CIOs, Heads of CX, and the teams who own the stack.

If your customer interaction needs to work as one architecture — the conversation, the CRM, and the workflows behind them — that is the kind of work we take on.

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