AI Leader or LEARNER

How does your AI readiness  stack up?

Take our 3-minute quiz to see where your contact center stands on the AI maturity spectrum and get your personalized plan to reach the next level of AI-powered customer service excellence.

Take the Quiz

Data Availability

Do you have a centralized system that stores all your customer conversation data?

Yes

Yes, we have a unified system

Yes, we have a unified system

Some information is accessible

Some information is accessible

No, our data is in multiple systems

No

No, our data is in multiple systems

Data Analysis

Do you analyze your customer conversation data?

Yes

Yes, we analyze 100% of conversational data

Yes, we analyze 100% of conversational data

We score some percentage of conversations, but not all

We score some percentage of conversations, but not all

No, we mostly store or analyze a small fraction of all interactions

No, we mostly store or analyze a small fraction of all interactions

No

Cloud Readiness

Is your current contact center infrastructure primarily cloud-based?

Yes

Yes, our support systems are fully deployed in the cloud

Yes, our support systems are fully deployed in the cloud

We have a hybrid solution

We have a hybrid solution

No, we are mostly on-prem

No, we are mostly on-prem

No

Integrations

Can your key systems easily connect to other software?

Yes

Yes, our systems have robust APIs and integrations

Yes, our systems have robust APIs and integrations

Integrations are available but a challenge

Integrations are available but a challenge

I don’t know, but it’s hard to get things done

I don’t know, but it’s hard to get things done

No

C-Suite Buy In

Does your leadership team understand the benefits and challenges of AI?

Yes

Yes, they are well-informed and supportive of AI initiatives

Yes, they are well-informed and supportive of AI initiatives

Yes, but they don’t know where to start

Yes, but they don’t know where to start

No, AI is still new and less understood amongst our leadership

No, AI is still new and less understood amongst our leadership

No

Objectives

Have you identified specific use cases and goals you’d like AI to address?

Yes

Yes, we have clearly defined goals and use cases for AI

Yes, we have clearly defined goals and use cases for AI

We have somewhat discussed plans but haven’t identified use cases

We have somewhat discussed plans but haven’t identified use cases

No, not yet

No, not yet

No

Cultural readiness

Do you have a culture of continuous process improvement and a willingness to adapt workflows?

Yes

Yes, process optimization is our top priority

Yes, process optimization is our top priority

It depends on the project or initiative

It depends on the project or initiative

No, our processes are static and difficult to change

No, our processes are static and difficult to change

No

Customer Experience

Is CX improvement the primary driver for AI adoption?

Yes

Yes, improving CX is a key consideration for AI

Yes, improving CX is a key consideration for AI

Our primary focus is around efficiency and cost saving

Our primary focus is around efficiency and cost saving

No, AI would be adopted elsewhere (if at all)

No, AI would be adopted elsewhere (if at all)

No

IT Readiness

Do you currently have in-house expertise or partnerships with external vendors for AI-related skills (e.g., data science, machine learning)?

Yes

Yes, we have the necessary expertise available

Yes, we have the necessary expertise available

Somewhat or we have trusted partners

Somewhat or we have trusted partners

No, we currently lack dedicated expertise

No, we currently lack dedicated expertise

No

AI Adoption

Are you currently using AI within your organization today?

Yes

Yes

Yes

I don't know

I don't know

No

No

No

The Novice

New to the game, not yet in motion.

Strengths

Awareness, curiosity, willingness to improve

Goals

Lay the foundation for AI readiness, build internal understanding, start small

Growth Areas

Lack of infrastructure, unclear AI ownership, limited C-suite engagement

Favorite Coworker

The Strategist — someone already exploring solutions and eager to collaborates

Summary:

You’re in the early stages of your AI journey. While AI might not yet be part of your broader business strategy, recognizing that gap is the first sign of progress. Technology may be limited, leadership may be unsure, and processes may feel stuck—but every transformation starts with awareness. Now is the time to explore, educate, and ignite momentum from within.

Next Step:

Connect with your IT team to understand your digital transformation roadmap. Identify one or two friction-heavy workflows that could benefit from automation or insight. Begin championing AI education across your organization—especially with leadership. Remember: progress starts by asking the right questions.

How Observe.AI Helps:



We help you get smart, fast. Our library of playbooks, customer stories, and use case guides can help you build internal alignment and pitch AI in a language leadership understands. Start small with ready-made ROI models, proven workflows, and no-code AI agents that don’t require an overhaul to make an impact.

What’s your AI maturity ethos?

Presented by:

The Aspirant

Eyes on the future, groundwork still forming.

Strengths

Executive sponsorship, vision-driven mindset, motivation to modernize

Goals

Establish technical foundations, run a successful pilot, align teams around an AI roadmap

Growth Areas

Fragmented systems, unclear ownership, need for cross-functional collaboration

Favorite Coworker

The Builder — someone who’s already run a pilot and can share the lessons learned

Summary:

Your organization believes in the potential of AI—and that belief matters. Leadership is on board, curiosity is high, and there’s momentum building. But gaps in infrastructure, disconnected systems, or limited data maturity are slowing things down. You’re poised to make progress, and with the right roadmap, that vision can become reality.

Next Step:

Lay the foundation. Prioritize investments in centralized data and integrated systems. Start small with a pilot use case—something measurable, manageable, and aligned with business priorities. Use early wins to prove value and unlock more resources to scale.

How Observe.AI Helps:



You’re not alone. With over 350 contact center deployments under our belt, Observe.AI brings the use cases, playbooks, and technical know-how to get you started fast. From quick wins to long-term planning, we’ll help you turn enthusiasm into execution—without getting bogged down in complexity.

What’s your AI maturity ethos?

Presented by:

The Builder

Strong foundation, ready to connect the dots.

Strengths

Operational readiness, experimentation mindset, technical maturity

Goals

Connect fragmented efforts, align AI with business outcomes, eliminate redundancy

Growth Areas

Siloed projects, inconsistent measurement, lack of centralized AI governance

Favorite Coworker

The Advancer — someone who’s learned how to scale AI from strong foundations

Summary:

You’ve done the hard work of laying the groundwork—your systems, data, and workflows are AI-capable. But without a unifying strategy, your efforts risk becoming siloed or redundant. The good news? You’re perfectly positioned to evolve from experimentation to execution. Now is the time to bring your teams and tools into alignment.

Next Step:

Form a cross-functional working group with stakeholders from ops, IT, CX, and compliance. Prioritize high-impact use cases and align AI initiatives to business objectives. Standardize on platforms (not point solutions) to ensure scalability, maintainability, and ROI.

How Observe.AI Helps:



We help you unify and scale. Observe.AI bridges teams, tools, and goals with one agentic AI platform. Our Voice and Chat AI agents integrate with your systems, operate within your workflows, and deliver measurable business impact. We’ll help you standardize success—from pilot to enterprise-wide deployment—so every initiative builds on the last.

What’s your AI maturity ethos?

Presented by:

The Advancer

Early wins in hand, momentum building.

Strengths

Strategic clarity, early use case success, executive alignment

Goals

Scale intelligently, empower human agents, ensure ethical and sustainable AI practices

Growth Areas

Workforce enablement, change management, long-term governance

Favorite Coworker

The Trailblazer — someone who has turned vision into enterprise-wide transformation

Summary:

You’ve crossed the early hurdles—your AI initiatives are aligned with business strategy, and the results are starting to show. Now the real opportunity begins: turning one-off wins into repeatable success. With the right systems, change management, and workforce enablement, you’re on track to transform how your contact center operates.

Next Step:

Scale with intent. Prioritize proven use cases that can be expanded across teams or geographies. Formalize change management processes to ensure adoption. Equip your workforce with the training, tools, and transparency they need to trust and thrive alongside AI.

How Observe.AI Helps:



Observe.AI gives you the platform and partnership to scale AI responsibly and effectively. Our Voice and Chat AI agents are built to evolve with your business—backed by Auto QA, agent performance data, and deep integrations to ensure smooth scaling. We help you operationalize success while keeping humans at the center of your AI journey.

What’s your AI maturity ethos?

Presented by:

The Technologist

Tech-forward, but impact-limited.

Strengths

Modern infrastructure, engineering horsepower, appetite for innovation

Goals

Break down silos, democratize AI tools, drive measurable business value

Growth Areas

Disconnected from business priorities, limited accessibility for non-technical teams, low adoption

Favorite Coworker

The Builder — someone who knows how to translate capability into outcomes

Summary:

Your organization has cutting-edge tools and a strong technical foundation, but AI isn’t delivering the business impact it should. Why? Because tech alone isn’t the answer. When implementation happens in silos, without business alignment or end-user ownership, momentum stalls. It’s time to rebalance the equation.

Next Step:

Shift from tech-first to business-aligned. Empower operations, CX, and compliance teams to lead AI initiatives using platforms that make action accessible—no code required. Ensure every AI investment ties back to measurable outcomes, not just infrastructure.

How Observe.AI Helps:



Observe.AI bridges the gap between technical capability and business value. Our agentic AI platform empowers business users to design, deploy, and iterate on AI agents without engineering bottlenecks, while still offering deep extensibility for technical teams. We make AI work for the business, not just within IT.

What’s your AI maturity ethos?

Presented by:

The Pioneer

Leading the way, lighting the path.

Strengths

Strategic alignment, cross-functional execution, scalable infrastructure

Goals

Sustain competitive advantage, deepen impact, evangelize AI success across the org

Growth Areas

Continuous innovation, ethical oversight, enterprise-wide knowledge sharing

Favorite Coworker

The Advancer — someone ready to follow your lead into full-scale transformation

Summary:

You’ve done more than adopt AI—you’ve built the foundation for lasting, enterprise-wide transformation. With strong executive alignment, advanced systems, and a culture of innovation, your contact center is setting the pace for the future. Now’s the time to double down: scale what works, explore what’s next, and lead with purpose.

Next Step:

Keep pushing the edge. Expand successful AI use cases across lines of business. Invest in continuous improvement, including workforce upskilling and ethical governance. Share your wins, formalize best practices, and elevate AI from a tool to a core differentiator.

How Observe.AI Helps:



Observe.AI partners with pioneers to scale smarter and lead louder. From enterprise-grade workflows and custom AI agents to Auto QA and real-time performance intelligence, our platform helps you go from successful pilots to system-wide transformation. Together, we’ll set the standard for what’s next in AI-powered service.

What’s your AI maturity ethos?

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