A member calls your help line about a billing issue. The agent pulls up their record, walks them through it, resolves it. Good interaction. Two hours later, that same member opens a chat on your website with a follow-up question. The chat agent has zero context. No record of the call. So the member starts over, explains the whole thing again, and gets an email survey afterward asking how their "first contact" went.
This happens constantly. And it's not a technology gap. The technology to prevent it has existed for years. It's an architecture problem, a decision about how your systems connect (or don't), and it's the core difference between a call center and a contact center.
A call center handles phone calls. A contact center handles phone, email, chat, SMS, social media, web forms, and increasingly AI-assisted self-service, all connected through a single system so that every agent sees the full picture regardless of how someone reached out. Most organizations still run the first model. Which means they're solving today's problems with yesterday's wiring.
Why "We Have Multiple Channels" Isn't the Same Thing
Most organizations have added channels over the years. Phone line, email address, maybe a chat widget on the website. But offering multiple channels and actually integrating them are two completely different things, and the gap between them is bigger than most people realize.
Multichannel means you have options. Omnichannel means those options talk to each other. The difference is worth about 39 points of customer satisfaction. SQM Group's benchmarking across more than a million customer interactions found CSAT scores of 67% for connected omnichannel experiences, versus 28% for disconnected multichannel ones. That's not incremental. That's a different universe of customer experience.
Only 36% of contact centers have true omnichannel integration in place, according to Calabrio's 2025 State of the Contact Center report. The other 64% are asking customers to be the connective tissue between their own systems. And customers feel it. Salesforce's most recent Connected Customer research found that 56% of customers regularly have to repeat or re-explain information to different representatives. Zendesk reports that 73% will leave for a competitor after multiple bad experiences. People's patience for this is thinner than the organizations delivering it tend to assume.
What This Looks Like When It Works
A federal agency runs a public-facing help line for a benefits program. Under the old model, phone agents handle calls, a separate team manages email, and the web team maintains an FAQ page nobody updates often enough. None of these teams share a system. When call volume spikes (enrollment season, a policy change, a news cycle), there's no way to deflect routine questions to chat or self-service because those channels aren't connected to the same knowledge base.
Under an integrated model, the same interaction plays out differently. A constituent visits the website and searches the FAQ. The system logs that search. When they can't find their answer and open a chat, the chatbot already knows what they searched for and offers targeted help. If the issue needs a human, the chat routes to a live agent with the full context attached. If the constituent calls back the next day, the phone agent sees the chat transcript and picks up where the conversation left off.
Platforms like NICE CXone do this right now. The technology isn't the bottleneck. What most organizations lack is the operational design to use it well.
Three Reasons This Is Accelerating
Your customers already expect it. People interact with Amazon, their bank, and their healthcare provider through apps, chat, and text. They bring those same expectations to every interaction, whether it's with a government agency, an association, or a nonprofit. When the experience falls short, they don't think "well, government is different." They just think worse of the organization.
You can't staff your way out of this. Contact center agent turnover runs between 30% and 45% annually. In some sectors it exceeds 60%. That kind of churn is brutal when your operating model depends on agents carrying institutional knowledge in their heads. Integrated platforms with shared knowledge bases and AI-assisted tools take pressure off individual agents, compress onboarding timelines, and give supervisors actual visibility into what's happening across the operation. McKinsey's research on digitizing customer service suggests proactive omnichannel approaches can improve satisfaction by 33% while cutting costs by 25-35%. The math works, but only if the channels are actually connected.
You're operating on partial data. When all your channels feed into one system, you can answer questions that matter: which issues drive the most contacts, where people drop off, what the real resolution rate looks like across channels. Without integrated data, you're making staffing decisions and process changes based on whatever your phone system tells you, which is maybe half the picture. Probably less.
What the Shift Actually Requires
Moving from a call center to a contact center isn't a software purchase. It's an operational redesign. Five things have to come together:
- A unified platform where all channels route into a single system. Agents see complete interaction history regardless of how someone reached out.
- Intelligent routing that sends contacts to the right agent based on skill, availability, and context, not just whoever's next in queue.
- Shared knowledge management. One searchable knowledge base that agents, chatbots, and self-service portals all draw from. This is what keeps answers consistent across channels and it's the piece most organizations underinvest in.
- Quality assurance that actually scales. Traditional QA reviews 2-3% of calls. Modern platforms use AI to score 100% of interactions across every channel. We wrote about this in detail in "You're Reviewing 3% of Your Calls. That's Not QA. That's a Coin Flip."
- Workforce management that accounts for all channels. Forecasting and scheduling for chat, email, and self-service volume alongside phone. This is where organizations consistently underestimate the complexity, and where the efficiency gains end up being largest.
Who's Already Making This Move
Federal agencies are increasingly explicit about this in their solicitations. CMS, FMCSA, SSA, and Census are all moving toward integrated contact center models, with the emphasis on consolidation (fewer, better-managed centers), digital self-service to reduce call volume, and AI-assisted quality assurance.
Associations and healthcare organizations face different pressures but land in the same place. Members expect responsive service across channels. Patients expect handoffs between scheduling, billing, and clinical teams that don't require them to re-explain their situation three times. The organizations that figure this out gain a real edge in retention and satisfaction. The ones that don't keep losing people to the ones that have.
Where to Start Without Boiling the Ocean
This doesn't have to happen all at once.
Map every channel you have, measure actual volume, and document the pain points. You can't design the future state without understanding the current one, and most organizations are surprised by what they find when they actually look.
Integrate your two highest-volume channels first. Get that working before you add more. Trying to jump from phone-only to full omnichannel in a single phase is how these projects stall out and become cautionary tales.
And invest in people alongside the technology. The best platform in the world doesn't fix a staffing model built for a different era. Agent training, supervisor tools, and workforce management have to evolve in parallel with the tech, not after it.
At Tactis, we design, staff, and manage contact center operations for some of the most complex programs in the federal space. We've written about the human side of this equation in "Keeping Customer Experience Human" and "How to Scale CX Without Losing Your Soul." If you're evaluating the shift from call center to contact center, our team has done this across programs serving hundreds of thousands of people. Let's talk about what the path looks like for your operation.
All external statistics and claims referenced in this post. Verified April 2026.
[1] 56% of customers regularly have to repeat or re-explain information to different representatives. Source: Salesforce, State of the Connected Customer, 6th Edition, 2024. https://www.salesforce.com/resources/research-reports/state-of-the-connected-customer/
[2] CSAT: 67% with smooth omnichannel vs. 28% for disconnected multichannel. Source: SQM Group, Contact Channel Customer Experience Study (ongoing benchmarking data, 1M+ customers surveyed). https://www.sqmgroup.com/resources/library/blog/multi-channel-omni-channel-customer-experience-difference
[3] Only 36% of contact centers have true omnichannel setup. Source: Calabrio, State of the Contact Center 2025. https://www.calabrio.com/state-of-the-contact-center-2025/
[4] 73% of consumers switch to a competitor after multiple bad experiences. Source: Zendesk CX Trends Report, 2023 (carried forward in subsequent reports). https://www.zendesk.com/blog/cx-trends-2023-immersive-cx/
[5] Contact center agent turnover runs 30-45% annually, with some sectors exceeding 60%. Sources: Metrigy 2024 research (31.2% average); Calabrio; multiple industry benchmarks. Calabrio attrition guide: https://www.calabrio.com/wfo/contact-center-reporting/how-to-beat-agent-attrition/
[6] Digitizing customer service through proactive omnichannel interactions can improve satisfaction by 33% while cutting costs by 25-35%. Source: McKinsey, referenced via Odondo and industry aggregators. https://www.mckinsey.com/capabilities/operations/our-insights
[7] Contact center industry projected to reach $113.8B by 2027. Source: Grand View Research market analysis. https://www.grandviewresearch.com/industry-analysis/contact-center-software-market