In the world of Customer Experience (CX), we constantly hear one term buzzing around: AI Maturity Models. Consulting firms draw up beautiful, theoretical growth models in which organizations are guided step-by-step to leave everything blindly to artificial intelligence.
At QuandaGo, we simply don’t believe in that approach. AI is a fantastic tool, but it should never be a theoretical end goal in itself.
When an AI chatbot merely ‘talks’ but doesn’t actually ‘work’ — because the employee still has to manually type the data into nine different legacy systems after the conversation — you aren’t solving the operational margin problem. To make the transition from the Unhappy Flow (chaos, repeat traffic, and overloaded employees) to the Happy Flow (3x faster, 2x better, and 100% resolved), you don’t need a maturity model. You need targeted process orchestration.
That is why we work with the 7-Levels Principle of Hyperautomation and our strategic Decision Gates. This ensures that your organization always maintains 100% predictable, deterministic control.
The 7-Levels Principle of Hyperautomation
Customer contact and back-office processes are not black and white. Some situations require deep human empathy, while other routine tasks scream for full automation. Our 7-levels principle divides interactions based on the required amount of human intervention:
Human-in-the-Loop (Levels 1 to 4)
- 1. Human Exclusive: Completely reserved for human experts. Think of emotionally charged situations like handling a death notice or complex payment arrangements in cases of severe financial distress.
- 2. Agent Assist: The employee conducts the conversation and maintains control, but is prompted live in the background by AI with document suggestions or the correct answers from the knowledge base.
- 3. Gatekeeper: AI stands at the gate. It identifies the customer’s intent, verifies identity, and pre-collects the necessary basic data (such as a customer or policy number) before the transaction is smoothly routed to the right specialist.
- 4. Human Authorizer: The digital agent prepares the entire transaction or workflow in the back-office systems. The human employee only needs to click ‘approve’ or ‘reject’.
Human-on-the-Loop (Levels 5 to 7)
- 5. Conditional Autonomy: AI handles the case independently, unless a specific exception occurs (for example, if there is suddenly a claim involving personal injury in an insurance case), after which a seamless warm transfer to a human expert takes place immediately.
- 6. Proactive Reviewer: Processes run autonomously, but AI proactively checks for underlying patterns and friction, asking for a sample-based human review where necessary to monitor quality.
- 7. Autonomous Agents: Fully automated handling from start to finish (Zero-Touch Resolution). Think of submitting meter readings, address changes, or simple vehicle license plate mutations.
The Gatekeepers: Our 4 Decision Gates
How do you determine which process belongs to which level? We don’t do that based on gut feeling, but with the help of four strategic Decision Gates. These gates act as the roadmap to dissect workflows and determine the ideal automation path:
1. The Emotional Gate
Customer contact becomes human work as soon as heavy emotion is involved. The very first question we ask is: Does this customer journey have a heavy emotional burden?
- Yes? Then we immediately steer towards human contact (Human Exclusive or Agent Assist). You don’t automate a death notice via a bot; that’s where empathy is the USP.
- No? Then the case can proceed to the next gate.
2. The Strategic Gate
Here we look at the commercial and strategic value of the customer contact. Is this a touchpoint where we can make a difference as a brand, or does it involve a strategic retention opportunity?
If a high-value customer threatens to cancel, you don’t want fully autonomous handling. You want to deploy a retention agent, supported by AI insights (Agent Assist or Conditional Autonomy).
3. But there is more… Unlock the rest of the gates!
Curious about the other gates? Download our factsheet on AI & Automation and learn all about them. It’s available here.
How to Start? From Data to Dialogue
With our Discovery Scan, we analyze your actual operational process data within one day. This uncovers the absolute truth and the blind spots of your customer environment. Next, we run this data through our Decision Gates to immediately identify the biggest quick wins and the correct hyperautomation level.
Curious about where your biggest Unhappy Flows are and how we can turn them into a win-win for your employees and customers? Contact us today for a complimentary Discovery Scan!
