Your contact center and CRM run in the cloud, but your agents are still toggling between both worlds. This guide explains how to close the gap and bring your Contact Center to the next level, reducing costs and improving your customer experience.
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Cloud migration solved the infrastructure problem. It did not solve the data problem. In the majority of enterprises, the voice cloud and the CRM remain two separate systems, each holding half the customer picture, neither capable of acting on the whole. That gap quietly costs money every day in longer handle times, slower AI deployments, duplicated vendor spend, and customer experience failures at precisely the moments that matter most.
Salesforce launched Agentforce Contact Center in March 2026. ServiceNow is investing $110M in Canadian public sector AI. Genesys secured $1.5B from both CRM vendors. The architectural decision you make this year determines your AI capabilities through 2028. Waiting means your vendors decide for you.
58%of agents at underperforming organizations toggle between multiple screens on every call
5 weeksof productivity lost per employee per year to application switching
80%of common service issues will be resolved by agentic AI autonomously by 2029
60%of AI projects are abandoned due to data that isn't ready to support them
A framework for the architecture decision every CIO faces before 2028. Written by Ateko, backed by Bell Canada. With 150 years of infrastructure experience, we understand the pipes better than anyone. And we have built the practices that sit on top of them. No other partner sees both sides.
Get the guideThe migration debate is settled. What the Genesys, Salesforce, and ServiceNow investment moves mean for your architecture decisions right now.
Why the phone is a channel but the CRM is the platform, and what unified agent desktop deployments actually deliver in measurable terms.
The difference between multichannel (separate pipes) and omnichannel (one record, one routing brain). Why 97% of consumers expect it and 16% of organizations deliver it.
A capability-by-capability framework for deciding what your CCaaS platform owns versus what your CRM owns, before vendor conversations begin.
Why the most consequential AI decision isn't which model to buy. It's where the AI agent lives architecturally, and which system governs what it's permitted to do.
Agents currently spend only 39% of their time helping customers. The quantified case for AI augmentation, faster agent ramp, and autonomous resolution that actually works.
A sequenced implementation plan for large enterprise and public sector organizations: audit and align, implement and augment, deploy and govern.
The organizations that succeed in the next decade will be the ones that stop treating the contact center and the CRM as two systems that talk to each other, and start treating them as one system with two functions.
Download the white paper, then book a conversation with our team. We'll walk you through the ownership matrix and help you understand which decisions need to happen in your organization this year.
A framework for the architecture decision every CIO faces before 2028, written by the only partner with deep practice on both sides of it.
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