Open CTI’s End of Life Is Coming: Is Your Voice Integration Ready for Salesforce’s Modern Architecture?

With Salesforce officially setting the end of life for Open CTI by February 2028, this might look like a predictable product sunset. It’s not.

What’s actually happening is a redefinition of how voice operates inside Salesforce.

For years, Open CTI positioned voice as an external capability, something that could be connected to Salesforce through adapters, APIs, and custom logic. It worked, but it came with trade-offs: fragmented data, limited real-time intelligence, and heavy reliance on telephony providers to control the experience.

That model is now being retired.

Salesforce is moving voice from the edge of the platform into its core, through Salesforce Voice (previously, Service Cloud Voice). This shift does three things simultaneously:

Furthermore, this is where it becomes bigger than technology.

Because when voice moves from “integration” to “inclusion,” it stops being just a channel and becomes a data and decision layer inside your CRM. And that has implications for architecture, cost models, control, and how organizations design customer interactions going forward.

In this blog post, we’ll explore what a modern voice architecture in Salesforce looks like, a practical way to approach the transition, and more. 

But first, let’s understand…

Is Salesforce Voice the Only Path Forward?

Not quiet. Salesforce is clearly steering organizations toward a native voice model, but that doesn’t make it the only path forward. The decision is less about whether to move and more about how closely you want to align with the platform, and how much flexibility you want to retain. 

In practice, most organizations navigate this by choosing one of four practical paths.

1. Salesforce Voice (Fully Native Path) Built directly into Salesforce (often with Amazon Connect) Deep integration with data, AI, and automation layers Maximum alignment with Salesforce’s long-term roadmap	2. Partner Telephony/ Bring Your Own Telephony – BYOT (Hybrid Path) Providers like Genesys, Vonage, and Five9 offer SCV-compatible integrations Retain your existing carrier while adopting Salesforce’s native experience Balances continuity with modernization
3. Native Lightning-Based Solutions (Alternative Path) Built on modern Salesforce APIs, not dependent on Open CTI Avoids legacy constraints while offering flexibility Suitable for teams that want control without full SCV adoption	4. External CCaaS (Exit Path) Move the contact center outside Salesforce entirely Use a standalone platform as the primary workspace Sync data back into Salesforce via APIs

Each path comes with trade-offs. Some optimize for AI-readiness and platform consolidation. Others prioritize cost control, vendor continuity, or phased change. The key is to decide this before you think about migration, because your architecture will follow that choice.

Comparing Legacy Widgets to Modern Data Streams: Open CTI vs. Salesforce Voice

Feature	Open CTI (Legacy)	Salesforce Voice (Modern)
Integration Model	UI-Based: A browser-level “widget” that sits on top of Salesforce.	Data-Based: A native, server-to-server stream integrated into the platform.
Data Structure	Task-Based/ Custom Object: Calls are logged as static “Activities” (Standard Task Object or Custom Object) as per business requirements.	Object-Based: Calls are rich, structured records (native VoiceCall object).
Intelligence	Post-Call: Transcription and analysis happen after the call via 3rd party tools.	Real-Time: Native AI provides live transcription, sentiment, and “Next Best Actions.”
Routing Logic	Telephony-Driven: Your PBX decides where the call goes; Salesforce just reacts.	Omni-Channel: Salesforce is the “brain,” routing calls based on real-time agent capacity.
Customization	Code-Heavy: Relies on Apex, JavaScript, and custom CTI adapters.	Low-Code: Orchestrated via Salesforce Flows and native configurations.
Agent Experience	Fragmented: Agents toggle between the phone widget and customer records.	Unified: A single-pane-of-glass workspace where the phone is part of the console.
Maintenance	High: Requires constant updates to keep up with browser security/cookie changes.	Low: Salesforce handles the infrastructure updates and security patches natively.

What a Modern Voice Architecture in Salesforce Looks Like: The 5-Layer Model

The modern architecture of Salesforce Voice moves from a UI-based integration model to a data-streaming ecosystem. In this setup, voice becomes a native part of the Salesforce platform, working alongside data, AI, and automation in real time. 

Layers	Component	Role	What Changes
1. Voice Layer (Connectivity & Ingestion)	Salesforce Voice  (SV) or Partner Telephony (Amazon Connect, Genesys, Vonage)	Entry point for voice interactions	Audio is streamed directly into Salesforce as a continuous data stream, not just handled as a call
2. Intelligence Layer (Processing & Understanding)	Real-time transcription and conversation intelligence	Converts audio into text and analyzes it using NLP	Detects sentiment, keywords, and intent in real time, making conversations immediately usable
3. Data Layer (Context & Storage)	Data Cloud + VoiceCall object	Stores and connects voice data with CRM	Calls become structured records with transcripts, recordings, and customer context
4. Orchestration Layer (Automation & Execution)	Flow Builder, Omni-Channel, automation	Manages routing and workflows	Conversations can trigger actions like updates, workflows, and routing without manual effort
5. Experience Layer (Agent Interaction)	Lightning Agent Console	Interface for handling interactions	Agents receive real-time insights and recommendations instead of searching for information

In this model, all layers operate on the same interaction simultaneously, without delays or handoffs, making voice a fully connected part of the Salesforce ecosystem.

The Adoption of Service Voice Isn’t a Lift-and-Shift. It’s a Full Architecture Redesign

Calling the transition from Open CTI to Salesforce Voice a “migration” undersells both the effort and the opportunity. What you’re really dealing with is a re-platforming of how voice operates inside Salesforce.

Open CTI and Salesforce Voice are built on fundamentally different models for handling data, routing, and execution. Therefore, this isn’t something you can simply switch on. If you treat it like a lift-and-shift, you’ll recreate the same limitations on a newer platform.

So, what does the move away from Open CTI Salesforce mean? 

1. Moving from Side-Car Integration to Core Platform Capability

With Open CTI, voice sits outside Salesforce. With Salesforce Voice, it becomes part of the platform itself.

It means:

• Now you can move core call logic from external systems into Salesforce
• Replace custom CTI scripts with Flows and native orchestration
• Centralize how routing and screen behavior are managed

At a basic level, the system that decides what happens during a call now lives inside Salesforce.

2. Rethinking Your Data Model for Voice

Earlier, your telephony system acted as the source of truth, while Salesforce stored only summaries. That model changes completely.

What this means:

• Now you can store call data as structured VoiceCall records with transcripts and context
• Remap existing fields, dispositions, and reporting structures
• Redesign reporting to align with the new data model

If you don’t address this properly, reporting gaps will show up in areas like call dispositions, resolution tracking, and agent productivity, making it harder to trust your dashboards.

Related Read: How to Analyze Service Cloud Voice Data

3. Redesigning How Your Agents Work

Open CTI setups often required agents to switch between systems. That friction is removed, but it introduces a new way of working.

What this means for you:

• Salesforce Cloud Voice brings voice, chat, and email into a single Omni-Channel workspace
• Leveraging it, you can reduce tool-switching and streamline how interactions are handled
• Retrain agents to operate within a unified interface

This goes beyond a UI update. It changes how your teams work day-to-day.

4. Reducing Integration Complexity

Most Open CTI environments accumulate layers of custom integrations over time. This transition gives you a chance to simplify.

This means:

• You can retire legacy middleware and fragile, hard-to-maintain integrations
• Adopt native connectors or partner telephony integrations
• Improve system stability and reduce ongoing maintenance effort

Instead of carrying forward complexity, you can reset and build a cleaner foundation.

A Structured Way to Approach Your Transition From Open CTI to Salesforce Voice

The transition from Open CTI to Salesforce Voice gives you a clear opportunity to eliminate “process debt”, the buildup of complex, legacy workarounds designed to mimic outdated functionality.

Instead of recreating old behaviors, you can use Salesforce Voice’s native, API-driven architecture to simplify how things work. Replace brittle custom code with Salesforce Flow Builder, and adopt the native VoiceCall object to improve data integrity and consistency across your service operations.   

There’s also a practical reality to consider. While your existing Open CTI setup will continue to function until February 28, 2028, new implementations are no longer supported in new environments. This means even if your current system is stable today, your roadmap needs to align with where the platform is headed.

Phase 1: Audit the Current State (Understand What You Have Today)

Before making any changes, you need a clear view of what’s already in place, especially the logic that isn’t immediately visible.

What you should focus on:

• Identify where Open CTI is currently deployed across your systems
• Audit your telephony integrations and dependencies
• Identify custom “glue code” across Apex, JavaScript, and third-party integrations
• Map how your screen-pop logic works today
• Audit where your call data currently lives

This step often reveals how fragmented voice systems have become over time, with logic, data, and workflows spread across multiple layers.

Phase 2: Define the Future State (Design Your Target Architecture)

This is where you move from replication to redesign.

What you should focus on:

• Explore how Salesforce Voice replaces and enhances your current setup
• Modernize custom routing logic with Salesforce Flows wherever possible
• Define how your existing data fields map to the VoiceCall object
• Finalize your telephony approach

This is where you shift from disconnected integrations to a more unified, AI-ready Salesforce Voice architecture, where voice is treated as structured, usable data.

Phase 3: Plan the Transition (Bridge Systems and Teams)

This phase connects your current setup to the future state, technically and operationally.

What you should focus on:

• Build a transition timeline aligned with the 2028 deadline
• Set up a pilot workspace using the Lightning console and Omni-Channel
• Create hybrid reporting across Task-based/Custom Object and VoiceCall data
• Begin agent training

It also sets the foundation for a more consistent agent experience, with voice and other channels handled within a single workspace.

Phase 4: Implement and Optimize (Roll Out in Phases)

Avoid large, one-time rollouts. Start small, validate, and scale.

What you should focus on:

• Begin with a low-complexity team
• Expand to core service teams
• Introduce AI capabilities like transcription and real-time recommendations

As you scale, the focus shifts from stabilizing the system to unlocking value through real-time intelligence and automation.

Related Read: How to Configure Salesforce Service Cloud Voice 

Where Teams Struggle During the Transition Between Legacy CTI and Modern Voice Architecture

Moving from Open CTI to Salesforce Voice is a leap from a web-browser integration to a native data engine. If your team treats this like a routine patch, they will likely hit these four structural walls:

1. The “Parity” Paradox: Recreating the Past

Organizations often waste resources trying to force Salesforce Voice to mimic the legacy UI and custom buttons of their old system. By clinging to outdated behaviors, you can miss the efficiency of Omni-Channel orchestration. As a result, you can end up with a high-cost modern system that is still shackled by old, inefficient habits.

2. The Reporting Blind Spot: Legacy Tasks/Custom Objects vs. VoiceCall Objects

There is a fundamental data disconnect between old Task-based/Custom Object logs and the new, rich VoiceCall object. Without a proactive data-mapping strategy, leadership loses visibility. If you don’t bridge this gap, you won’t be able to compare historical performance against new AI-driven metrics, leaving you “flying blind” during the transition.

3. The Architectural Pivot: From Custom Code to Native Flow

Moving from developer-heavy Apex logic to low-code Salesforce Flows is a significant cultural and technical shift for IT teams. Over-engineering the new system by trying to “code around” native features creates Technical Debt 2.0. The goal is to move from “building components” to “orchestrating outcomes” to gain long-term agility.

4. The Adoption Hurdle: Re-Skilling the Front Line

Agents who have spent years using a separate “sidecar” phone widget often resist moving to a unified, single-pane-of-glass workspace. Poor change management leads to “shadow telephony”, agents using external workarounds that bypass Salesforce. This breaks your data stream and nullifies the ROI of your AI and transcription investments.

Related Read: Expert Answers on Salesforce Service Cloud Voice FAQs

What We Think: Turn this Mandate into an Advantage

At Grazitti, we don’t view the Open CTI retirement as just a deadline to beat; we see it as a rare “reset button” for the enterprise. It’s an opportunity to rethink how voice, the most human of channels, actually fits into the broader Salesforce ecosystem.

Most organizations are currently managing “fragmented” voice, where the conversation lives in one place, and the customer record lives in another. Our focus is on helping teams move toward connected, scalable systems that treat a phone call as a strategic asset rather than a temporary event.

We help bridge this gap by:

• Deconstructing the Current Stack: Auditing your existing CTI to separate essential logic from years of accumulated technical debt.
• Architecting for Reality: Defining a practical future state that balances your current telephony investments with Salesforce’s native power.
• Guiding the “Phased Shift”: Planning a transition that minimizes downtime and prevents “day-one” shock for your agents.
• Activating the “Data Engine”: Ensuring your voice data isn’t just stored, but is actively fueling AI insights and cross-functional decisions.

What’s Next: The Rise of the “Active Conversation”

The retirement of Open CTI marks the end of “Dark Voice Data.” We are entering the era of the Active Conversation, where voice evolves from a standalone utility into a data stream that powers the entire enterprise.

As AI and Data Cloud converge, we expect three major shifts:

• Intelligence in the Moment: Insights are generated during the call, allowing for real-time intervention rather than reactive post-call audits.
• Autonomous Orchestration: A caller mentioning a shipping delay won’t just trigger a ticket; it will initiate a cross-cloud workflow, triggering a logistics check and a personalized loyalty offer via Marketing Cloud instantly.
• Silo-Busting Insights: Voice data will move beyond support. Sales will use it for live coaching, and Product teams will use it as a real-time “pulse” on market friction.

Moving away from Open CTI is a move toward a model where every conversation helps the business learn and decide in real time. Organizations that treat voice as data will operate with a context that their competitors simply won’t have.

Frequently Asked Questions (FAQs) 

Ques 1: When exactly is the Open CTI retirement date?

Ans: Salesforce has officially set the End of Life (EOL) for Open CTI as February 28, 2028. While the 2028 date is the hard cutoff, Salesforce has placed immediate restrictions as of February 2026. No “net new” Agentforce Service Orgs can implement Open CTI starting now; only existing implementations can continue until the deadline.

Ques 2: Is Salesforce Voice the only path forward after Open CTI retirement?

Ans: Technically, no. But Salesforce Voice is the only fully native path aligned with Salesforce’s AI and Agentforce roadmap. While there are third-party alternatives built on Lightning components that don’t use Open CTI, they lack the deep integration with Salesforce’s AI (Agentforce) and Omni-Channel routing that SCV provides. For most enterprises, SCV is the only way to “future-proof” their voice strategy.

Ques 3: Do I have to switch my telephony provider to move to SCV?

Ans: No. You are not required to replace your existing provider.

You have two paths:

• Native SCV: Uses Salesforce’s bundled Amazon Connect infrastructure. 
• Partner Telephony (BYOT): Let’s you retain providers like Genesys, Talkdesk, or Natterbox while adopting the Salesforce Voice experience. 

Ques 4: Can we run Open CTI and Salesforce Voice in parallel?

Ans: Yes, and for most enterprises, this is the recommended migration strategy.  Because the architectures are so different, a “big bang” switchover is risky. A phased approach, keeping your main operations on Open CTI while piloting SCV with a smaller team, is the safest way to validate your new Salesforce Flows and reporting models without disrupting the whole business.

Ques 5: How does the pricing model change from Open CTI to Salesforce Voice?

Ans: This is often the biggest “sticker shock” for finance teams during the transition.

• Open CTI was usually a flat-fee or per-user license paid to your telephony vendor. 
• Salesforce Voice often introduces a consumption-based model (cost-per-minute) or a specific add-on license cost from Salesforce.

So, enterprises must recalculate their total cost of ownership. While you might pay more in licensing, you often save on the “hidden costs” of maintaining custom middleware and the manual labor of call logging

Ques 6: What happens to historical call data and reporting during the Open CTI to Salesforce Voice transition?

Ans: This is one of the most overlooked challenges. Open CTI stores call data as Tasks or Activities. Salesforce Voice uses the VoiceCall object. These are fundamentally different data structures.

Historical data cannot be directly migrated. To maintain continuity, you will need to design reporting that combines both the data sources, often using tools like CRM Analytics or external BI platforms.