The Modern CX Platform Checklist

In 2030, your CX platform will run your front office.Or it will be the system your team works around.

AI agents are about to do real work across every customer-facing system you own. Before you renew or replace your CX platform, ask your team 19 questions. The answers will tell you which future you are building.

Take the checklist Why this matters now

The shift already underway

AI stopped being a feature. It is becoming the operator.

For twenty years, CX software waited for a human to click. The next generation of AI does not wait. It reads the conversation, checks the order, updates the CRM and closes the loop. That only works if every system can talk to it.

The tool era

  • Software waits for an agent to act
  • Every system is a separate login and a separate truth
  • AI is a chatbot on one channel
  • Leaders wait weeks for a report
  • Every integration is a project

The agentic era

  • AI agents act, humans handle judgement
  • One intelligence layer connects every system
  • AI runs across every workflow and every channel
  • Leaders ask a question and get an answer today
  • Systems connect through open protocols

The basics, in plain language

What is MCP, and why should a CEO care?

Model Context Protocol (MCP) is an open standard that lets AI connect to business tools and data in one consistent way. Build the connection once, and any compatible AI agent can safely read from it and act in it.

Think of it as USB-C for AI. Before USB-C, every device needed its own cable. Before MCP, every AI needed a custom integration for every system. Now there is one plug.
What it changesAI agents can pull an order status, raise a ticket or update a customer record across different vendors' systems without a custom build.
Why it matters for CXYour front office runs on CRM, OMS, ERP, ticketing, social and marketing tools. The AI that serves your customers needs all of them at once.
The riskA platform that cannot speak open protocols becomes the one system your AI agents cannot reach. That is where customers fall through.

Who cannot be part of the front office future

Four signs your platform is built for yesterday.

None of these were mistakes. Each was the right design for its era. The question is whether your platform can move beyond it.

Your data only lives inside it

If customer history cannot flow out cleanly to other systems and AI models, every future decision depends on one vendor's roadmap.

AI is bolted onto one feature

A chatbot here, a summary there. The rest still runs on manual rules. Remove the AI and almost everything still works the same.

Every connection is a project

Linking your CRM or order system takes months and a services contract. In an agentic world, that speed is a ceiling.

Listening and service are separate tools

What customers say publicly never reaches the team that serves them. The same customer is a mention in one system and a ticket in another.

The self-audit

19 questions for your CX team.

Tick only what your current platform can genuinely do today. Not on the roadmap. Not with a custom build. Today.

0 / 19
See my result
0out of 19
Under 10 10 to 15 16 or more

You are managing CX on infrastructure not built for where the industry is heading.

Your platform likely handles today's volume. It is unlikely to handle tomorrow's AI agents, channels and leadership questions.

The next step: find out which of your gaps are costing you customers right now.

Your score by section, what each gap means, and what to ask your vendor next.

Sent. Check your inbox for your full report.

A principle, not a feature

Your customer data should outlive your vendor.

AI is moving faster than any contract term. The model that is best today will not be best in two years. If your platform locks you in, you inherit its limits. Before you sign, make sure you keep these four rights.

  • Your data, portableEvery conversation, ticket and customer record can be exported or streamed to your own systems, in full, at any time.
  • Your choice of AI modelYou decide which models run on your data, and you can switch when something better arrives.
  • Open connectionsOpen APIs, webhooks and protocols like MCP, so any system can connect without a services project.
  • Adopt in modulesStart where the pain is. Add capabilities when they earn their place. Never pay for a suite to use one part of it.

How the front office comes together

KRC: the intelligence layer for your front office.

Konnect Research Cloud sits across your channels, teams and systems. It turns millions of customer conversations into answers your leadership can act on, and orchestrates the AI and human agents who deliver them.

One connected layer

Social, messaging, email, voice, reviews and tickets in one customer view. Listening and service finally see the same customer.

"Which enterprise accounts are showing early churn signals today?"

Ask, answer, act

Leaders ask in plain language. KRC answers from real customer data, explains why, and can trigger the next action across connected systems.

"What do customers really think of our latest launch?"

Open by design

Built to connect through open APIs and MCP, with your data and your context at the centre. Orchestration, not lock-in.

"Where are we losing ground against competitors, right now?"

Explore KRC in depth

The purpose of customer experience is not to make departure impossible. It is to make indifference impossible.
From The World of Customer Experience, by Sameer Narkar

See what your front office looks like when everything connects.

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