Platform

Playbooks

Resources

Book a Demo

Platform

Playbooks

Resources

Book a Demo

Platform

Playbooks

Resources

AI that resolves issues. Not just responds to them.

Aigensei runs your customer service playbook end-to-end — from issue identification to confirmed resolution — without a ticket touching a human queue for routine cases.

See the Platform

The Problem

Your agents are closing loops AI should close.

Modern customer service teams have deployed chatbots, FAQs, and AI search. They've gotten better at surfacing information quickly. But the work hasn't gone away. Agents still have to interpret the AI output, decide what to do, take action in the system, and confirm the resolution. AI answered. Humans still executed.

Agents spend significant time on cases AI could resolve with the right access and logic

Resolution quality varies by agent, shift, and experience level

Escalation context is lost at handoff — customers repeat themselves

How Aigensei Runs It

The Customer Service Resolution Playbook, running at scale.

Here's how Aigensei takes a support request from first contact to confirmed resolution — without a human in the middle for standard cases.

01. Issue identification

Customer contacts support. Aigensei identifies the issue type and maps it to the appropriate resolution workflow.

02. Account Check

Queries your ticketing system and CRM in real time for account status, history, entitlements, and prior interactions.

03. Resolution Logic

Applies your resolution playbook — self-service responses for common issues, policy-based logic for standard cases, escalation rules for edge cases.

04. Action Execution

Takes the action: processes the refund, updates the account, sends the confirmation, closes the ticket.

05. Customer Confirmation

Confirms resolution with the customer and captures satisfaction signal.

06. Escalation When Needed

For cases outside the playbook, hands off to a human agent with full session context — zero need for the customer to repeat themselves.

When AI runs your service resolution playbook.

Before

Agents handle every ticket, including routine resolutions
Customers wait in queues for simple issues
Resolution quality varies by agent and shift
Escalation context is lost at handoff
Compliance requires manual audit of agent decisions

After

With Aigensei

Aigensei resolves routine tickets end-to-end
Instant resolution for issues within the playbook
Every resolution follows the same defined logic
Escalations arrive with full session context attached
Every decision is logged and auditable automatically

Built for your service process, connected to your stack.

Live ticketing system integration

Reads and writes to Salesforce, HubSpot, or any major CRM in real time.

Policy-based resolution logic

Configure resolution rules, refund thresholds, exception criteria, and escalation triggers.

Adaptive conversation logic

Adjusts qualifying questions dynamically based on prior responses.

Consistent lead scoring

Applies your scoring model without variance or fatigue — every time.

Rep routing logic

Routes by territory, segment, capacity, or custom rules you define.

Full audit trail

Every qualifying conversation logged, scored, and reviewable.

Live ticketing system integration

Reads and writes to Salesforce, HubSpot, or any major CRM in real time.

Policy-based resolution logic

Configure resolution rules, refund thresholds, exception criteria, and escalation triggers.

Adaptive conversation logic

Adjusts qualifying questions dynamically based on prior responses.

Consistent lead scoring

Applies your scoring model without variance or fatigue — every time.

Rep routing logic

Routes by territory, segment, capacity, or custom rules you define.

Full audit trail

Every qualifying conversation logged, scored, and reviewable.

What changes when qualification runs itself.

What changes when
qualification runs itself.

Human queues handle exceptions, not routine cases

When AI handles standard resolutions, your agents are free to focus on the complex, relationship-critical interactions that require genuine human judgment.

First-contact resolution improves

Cases that previously required multiple touchpoints — each one adding friction for the customer — resolve in a single interaction.

CSAT improves when resolution is instant

Customers don't grade you on what you said. They grade you on what you did. Faster, consistent resolution drives measurable satisfaction improvement.

Human queues handle exceptions, not routine cases

When AI handles standard resolutions, your agents are free to focus on the complex, relationship-critical interactions that require genuine human judgment.

First-contact resolution improves

Cases that previously required multiple touchpoints — each one adding friction for the customer — resolve in a single interaction.

CSAT improves when resolution is instant

Customers don't grade you on what you said. They grade you on what you did. Faster, consistent resolution drives measurable satisfaction improvement.

Human queues handle exceptions, not routine cases

When AI handles standard resolutions, your agents are free to focus on the complex, relationship-critical interactions that require genuine human judgment.