Maxcontact 2026 Roadmap: What's Next for AI-Powered Customer Engagement

In our January product webinar, we shared MaxContact's vision for 2026 and the roadmap that will help businesses turn every customer conversation into revenue-driving outcomes. Led by Kayleigh Tait, Marketing Director, and Conor Bowler, Principal Product Manager, the session revealed how we're evolving our platform to address the challenges contact centres face today.

The Challenges Driving Our Roadmap

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Three clear themes dominate conversations with customers across every sector we support:

Costs and customer expectations are rising faster than teams can keep up. Contact centres deal with higher expectations, more channels, and greater variability in customer behaviour. The volume of complex interactions continues to increase as routine queries shift to automation.

Data and insight remain fragmented. When information sits in disconnected systems, fixing problems becomes guesswork. Teams need unified visibility to make confident decisions in real time.

Organisations know AI can help but don't know where to start. The gap between AI adoption intentions and actual implementation remains significant. Businesses need clear, practical pathways to AI deployment with proven ROI.

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Our Product Vision: Maximising Every Moment

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MaxContact's 2026 roadmap centres on three interconnected pillars that work together to deliver smarter contact strategies:

Intelligent Automation: AI handles routine, high-volume interactions automatically, allowing human agents to focus on conversations that require empathy, judgement, and relationship-building. This includes both voice and digital AI agents that can manage everything from FAQs to payment arrangements.

Smart Operations: Workflow automation, real-time agent assistance, and predictive routing ensure teams operate at peak efficiency. We're building capabilities that reduce manual effort, eliminate context-switching, and help agents deliver better outcomes in every interaction.

Connected Insight: Conversation analytics, quality management, and unified reporting transform customer conversations into clear, actionable insight. Teams can understand what's driving performance, identify compliance risks, and make data-backed decisions across the entire operation.

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2026 Roadmap Highlights

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Q1 2026: Foundation and Enhancement

The year begins with significant updates to our core capabilities. AI Agent functionality expands to chatbot channels, enabling businesses to automate digital conversations with the same sophistication they've experienced with voice agents. Conversation analytics introduces custom scorecards, allowing teams to measure what matters most to their specific operations.

AI Assist Notes delivers quick post call notes cuts down after call admin, whilst enhanced dashboard manager gives teams clearer visibility into performance.

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Q2 2026: Real-Time Assist and Advanced Routing

The new Interaction Routing  capabilities allow sophisticated inbound flow management, moving interactions between queues based on real-time conditions.

Real-time agent assist features provide agents with instant guidance, next-best-action recommendations, and contextual information during live conversations.

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Q3 2026: Predictive Intelligence and Quality Automation

The third quarter introduces behavioural driven workflows that responds to signals and customer context. Further quality management automation reduces the manual effort required for call scoring and compliance monitoring whilst improving accuracy and consistency.

Portfolio integration brings all products—Contact Centre, Conversation Analytics, AI Agents, and AI Chatbot—into a single view, providing business-wide insight into customer engagement performance.

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Q4 2026: Agentic AI and Self-Optimising Systems

The final quarter of 2026 begins to deliver the most transformative capabilities. Agentic AI orchestration enables AI agents to work together, handling complex, multi-step processes and hand over to a person where required.

Self-optimising workflows (in development in Q4 2026 and into 2027) use machine learning to continuously improve processes based on outcomes, reducing the need for manual tuning.

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Built for Real-World Impact

Every roadmap item addresses a specific customer challenge. The AI agent features, for example, solve the pressure sales and collections teams face to hit outcomes with fewer resources. The conversation analytics enhancements help teams move beyond guesswork when diagnosing performance issues.

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Design Partner Programme: Shape What's Next

MaxContact is actively seeking design partners who want early access to new features and the opportunity to influence product development. Design partners receive priority availability, direct access to the product team, and the chance to solve their specific challenges with cutting-edge capabilities before general release.

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A Platform That Evolves with You

The 2026 roadmap reflects months of listening to customers, analysing industry trends through research like the Voice of Consumer Report and the annual Benchmark Report, and identifying the capabilities businesses need next.

MaxContact is now a multi-product company—Contact Centre, Conversation Analytics, AI Agents, and AI Chatbot—but it's all one connected platform. The roadmap ensures these capabilities work together seamlessly, supporting smarter contact strategies that drive measurable business outcomes.

Whether your priority is reducing costs, improving customer experience, scaling operations, or ensuring compliance, the 2026 roadmap provides a clear path forward.

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The workload squeeze on UK contact centres is intensifying. In the latest 2025/6 UK Contact Centre KPI Benchmarking Insights Report, 52.6% of respondents report increased agent workload, up from 42% in 2024, a 10% rise. The report also highlights the people impact of sustained pressure: average annual agent turnover is 31.2%, up from 30.2% last year.

The report, based on a survey of 300 UK contact centre decision makers, highlights a sector balancing high customer expectations with tough economic conditions, and increasingly looking to technology to relieve pressure.

“Customer facing teams are being asked to do more - and the data shows that pressure is rising year-on-year,” said Ben Booth, CEO, MaxContact. “When workload increases, it doesn’t just affect service levels. It affects quality, morale, and the capacity to improve. The most sustainable response is to reclaim time - removing avoidable work and using AI to handle routine interactions and provide team’s with support, so they can focus on the conversations that truly need a human.”

AI moves from experiment to strategy

The research suggests AI is quickly becoming central to contact centre operations and investment. 66% of respondents say their organisations are using or piloting AI, with a further 20% planning implementation in 2025/26.  

Looking ahead, 60% of respondents say AI and automation tools will be a main area of increased investment in 2026, while 55% cite AI and automation implementation as a top technology priority for 2025/26.

Among those already using or piloting AI, the report finds:

• 48% say AI has improved customer experience  

• 30% say AI has driven a significant transformation, with AI becoming central to service delivery  

• 99% are confident AI will improve contact centre effectiveness over the next three years  

“This isn’t AI for AI’s sake,” added Booth. “Businesses are clear on the goal: protect customer experience or drive the desired business outcomes while reclaiming capacity for teams. The winners will be those who build AI into day-to-day service - not just a bolt-on tool.”

Competitive advantage is shifting towards technology, speed and insight

When asked what delivers the most competitive advantage, respondents point to:

• Advanced technology/automation (42%)

• Speed and responsiveness (42%)  

• Better customer data and insights (38%)

At the same time, the report highlights constraints contact centres must navigate as they scale AI. 45% cite data security concerns as a leading challenge holding back AI ambitions.  

Reclaiming time in the contact centre

In response to the findings, MaxContact is urging leaders to focus AI investment on one tangible outcome, reclaiming time.  

That means:

• Shifting high-volume, repetitive interactions to self-serve and automation to reduce operational pressure

• Using insight from conversations to spot objections, knowledge gaps and coaching opportunities - so you improve performance faster, across sales and service

• Supporting agents with better context and guidance so human time goes to high-value, high-impact conversations

The full findings and benchmarks are available in the 2025/6 UK Contact Centre KPI Benchmarking Insights Report.

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Contact centres are working harder than ever – yet outcomes aren't improving. Despite deploying more technology and increased investment, connect rates remain stubbornly lower, attrition stays high and costs per call have reached a five-year high.  

The breakthrough will come from technology that connects seamlessly – where your systems work as one platform, not separate tools.

Here's what contact centre leaders need to know about 2026.

2026's Defining Shift: Making Your Systems Talk to Each Other

Last year was about proving AI works. This year is about making it work together.

Picture this: Your conversation analytics spots that agents are struggling with a specific complaint type. Right now, that insight sits in a report somewhere. In 2026? It automatically triggers updated coaching materials, alerts team leaders, and feeds into next week's training schedule.

That's the shift. Not more tools. Connected tools.

Your CRM knows what your telephony system is doing. Your analytics feed your workforce planning. Your AI capabilities trigger actual actions, not just insights.

The winners in 2026 will connect their systems, not just collect them.

• ‍Key Takeaway: The winners in 2026 will be organisations that connect their capabilities, not just collect point solutions.

AI Adoption: Data First or Fail Fast

With 66% of organisations already using or piloting AI, adoption is no longer the question. Successful implementation is. And here's the problem: 80% cite data quality as their main barrier, while 75% say their data is too siloed to use AI effectively.

Here's what happens next

Some organisations will fix their data first. Others will skip that step and wonder why their AI projects fail. The gap between these two groups will widen fast in 2026.

The organisations getting it right start with a simple question:

Before any AI project: where's the data? Is it current? Can we trust it? Is it joined up?

Then they split projects into two categories:

• Quick wins need minimal data. Automated absence handling? One data source. Call summarisation? Just transcripts. These deliver fast returns and fund bigger projects.

• Big projects need more serious data work. Cross-channel customer insights. Predictive analytics. These require 12-18 months of data consolidation. But once done, they unlock multiple AI use cases at once.

The Reality Check

Most organisations skip the data work. They deploy AI on fragmented information. It disappoints. They blame the AI.

Meanwhile, AI is creating more data. Speech analytics now transcribes every call. Conversation analytics tracks every interaction. The challenge isn't just fixing old data problems – it's making the flood of new data useful for the people who need it.

• ‍Key Takeaway: Start with quick wins on clean data. But commit to the harder work of data consolidation, or your AI projects will keep disappointing.

Contact Strategy: Beyond Set-and-Forget

The numbers are stark: outbound connect rates sit at 42.8%, with only 27% reaching the right person. Traditional set-and-forget strategies aren't working. AI call screening will only make this harder.

Yet voice isn't dying – it's evolving. Most valuable AI starts with voice: conversational AI, sentiment analysis, real-time insights. Even chatbots are moving toward voice interfaces.

What Works in 2026

Three factors define successful contact strategies:

• Speed to lead has returned as top priority. When customers show intent, the window is minutes, not hours. Organisations reaching out within 5-10 minutes see dramatically higher conversion.  

• Intelligent personalisation means dynamic, context-aware outreach. Not just who to contact, but when, how, and with what message based on their specific situation and recent interactions. This requires joining up web behaviour, contact history, and purchase patterns.

• Dynamic multi-channel workflows adapt in real-time. Customer doesn't answer? Trigger an SMS: "We're calling from [company]. Save this number, we'll call back at [preferred time]." They respond with availability and the system adapts. They engage via chat? The system handles it and transfers to human when needed, with full context.

Why SMS Matters

SMS isn't replacing calls. It's making calls work better.

"Save our number, we'll call when suits you" transforms cold calling into expected contact. Response rates go up. Conversations are better because people are ready for them.

But only if your SMS, voice, chat, and email systems actually work together.

• ‍Key Takeaway: Abandon set-and-forget for dynamic, multi-channel workflows that adapt to customer behaviour. Build multi-channel workflows that adapt to how each customer actually wants to engage.

The Data Problem: From Integration to Intelligence

Contact centres are saying siloed data blocks CX improvement. Teams make decisions on incomplete information. Despite AI tools generating insights, frontline managers still can't easily answer: "Which agents are struggling and why?" or "Where are our quality issues?"

Will 2026 fix this? Our prediction: fragmentation won't worsen, but solving it will be slower than hoped. The challenge has shifted from having data to making it meaningful.

The New Challenge

Conversational analytics now transcribes every call and summarises every interaction. That's incredibly valuable.

But a team leader managing 15 agents faces 500 call summaries a day. Reading them all isn't realistic.

What they actually need: which agents need support right now? What's the trending issue today? What should I focus on first?

What This Looks Like When It Works

It's 9:30am Tuesday. Your team leader opens their screen and sees:

"Agent Sarah has handled three difficult complaints this morning. Might need a check-in."

"Billing issue contacts up 40% vs yesterday. Consider adding afternoon resource."

Not a dashboard to interpret. Not a report to analyse. Just: here's what needs your attention right now.

How to Get There

The organisations making progress aren't building more sophisticated dashboards. They're rethinking how information reaches people.

• Alerts instead of reports. Team leaders get notified when agents need support. Ops managers see capacity issues before they escalate. The system brings insights to people, rather than expecting people to hunt for them.

• Conversational access. A team leader can ask: "Why is Sarah's handle time up today?" and get an answer with context. No report building required.

• Embedded in workflows. Insights appear where people already work, not in separate reporting tools they need to remember to check.

‍Key Takeaway: The challenge isn't gathering data or even analysing it. It's getting the right insight to the right person at the moment they can act on it.

Agent Experience: Finally a Priority

The statistics: 52% report increased workload (up 10 points), agents switch between 6-12 windows, attrition remains at 31.2%, and cost per call hits £6.26. As routine tasks automate, agents handle only complex interactions – meaning every contact is difficult.

Why This Matters Now

The business case is finally clear. At £6.26 per call, you can't afford agents spending 30% of their time hunting for information across multiple systems.

Vendors are starting to focus on this. The quick AI wins – digital deflection, call summarisation – are done. Now they're tackling the harder problem: reducing the cognitive load that comes from constantly switching context.

What’s Changing in 2026

As low-value tasks automate, agents handle only high-value interactions. Every conversation involves complexity or emotional sensitivity. The job is harder than ever.

In 2026, expect:

• Unified desktops that bring information from multiple systems into single interfaces, surfacing the right information at the right time based on conversation context.

• Real-time assistance that provides contextual guidance, suggests actions, surfaces knowledge articles, and drafts responses. AI becomes the agent's assistant, not replacement.

• Post-interaction support recognising the emotional toll. Automated break scheduling after difficult calls, sentiment monitoring for struggling agents, proactive manager interventions.

• Better performance frameworks moving beyond handle time to recognise interaction complexity. First-call resolution for complex issues, sentiment improvement, and de-escalation become the measures that matter.

Will 2026 fix the agent experience? Our prediction: improvements begin, but full transformation extends into 2027.

Key Takeaway: Agent experience is finally getting serious attention. The focus is shifting to reducing cognitive load and supporting agents who now handle only the most complex interactions.

The Offshore Reality

Offshoring is accelerating. The economic pressure from 2025 isn't easing – it's getting stronger.

But there's a pattern worth noting. Over the past 15+ years, we've seen the same cycle repeat: contact centres move offshore to cut costs. Quality issues emerge. Operations move back to the UK. Then costs rise again, and the cycle starts over.

Offshoring isn't a permanent solution. It's a response to immediate pressure that often creates different problems down the line.

What this means for UK operations

If you're running a UK contact centre, competing on cost alone won't work. The economics don't add up.

The path forward? Combine AI efficiency with the advantages UK operations naturally have. Quality. Cultural alignment. Regulatory compliance. Understanding of the local market.

AI helps narrow the cost gap. 20-30% efficiency improvements make the economics more defensible. You're still not the cheapest option, but you can justify the premium based on outcomes.

Here's the reality: without AI, UK contact centres at scale struggle to make the numbers work. With AI, you can compete on value rather than just price.

• ‍Key Takeaway: For UK operations, AI isn't a nice-to-have. It's what enables you to compete on outcomes while narrowing the cost gap that offshore alternatives exploit.

Looking Ahead: Strategic Technology Decisions

As we move through 2026, the question isn't whether to invest in technology. It's which technology to invest in.

• Choose solutions that connect with what you already have. The best new tool in the world doesn't help if it sits in isolation. Before buying anything, ask: how does this integrate with our existing systems? Can it talk to our CRM? Our telephony platform? Our analytics tools?

• Prioritise data foundations. Fix the plumbing before adding new taps. If your data is fragmented, every AI tool you add will underperform. Sometimes the smartest investment is consolidating what you have, not buying something new.

• Look for vendors who care about outcomes, not just features. The conversation should be about what you're trying to achieve, not just what the software can do. Implementation support. Integration help. Ongoing optimisation. That matters more than a long feature list.

The bigger picture

The challenges facing contact centres in 2026 are real. Rising costs. High attrition. Fragmented data. Low connect rates.

But here's the opportunity: the right technology decisions – made thoughtfully – can genuinely transform outcomes. Not through revolutionary breakthroughs. Through building an ecosystem where your systems work together. Where new capabilities enhance what you already have. Where data flows naturally between tools, creating workflows that deliver results.

That's what 2026 is really about. Moving from collecting disconnected tools to building platforms that work as one.

What Contact Centres Should Prioritise in 2026

• Strategic technology decisions that prioritise full deployment and optimisation of existing AI capabilities alongside thoughtful expansion of your technology stack.

• Clear ROI demonstration for every new investment, with realistic timelines and measurable outcomes.

• First-contact resolution as a cost-reduction strategy, using AI and better agent support to solve issues completely on first interaction.

• Strategic workforce planning optimising resource allocation through AI-powered forecasting and scheduling.

• Data foundations that enable AI success – investing in consolidation and integration before deploying new capabilities.

• Agent experience improvements focusing on reducing cognitive load through unified interfaces and real-time assistance.

• Integrated workflows connecting systems across your technology stack so capabilities work together, not in isolation.

The contact centre industry has shown remarkable resilience. As we enter 2026, the organisations that thrive will be those that combine innovative technology with strategic implementation – building integrated systems that deliver measurable outcomes.

Ready to build a more integrated contact centre for 2026? Book a demo to see how MaxContact’s integrated platforms can address your challenges.

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