System switching
Agents move between CRM, tickets, orders, accounts, policies, product knowledge, and internal tools.
Customer Service and Agent Assist
AI Assistance That Moves Service Work Forward
Ground assistance in approved knowledge and live customer context, then connect the interaction to the systems and workflows required to resolve the issue.
Understand
Intent, history, account, product, and policy
Assist
Grounded answer and recommended next step
Act
Update, ticket, refund, notify, or escalate
Improve
Quality, evidence, feedback, and analytics
Built for
Customer supportContact centersSupport operationsDigital productCIO and technology teams
The operating problem
A Helpful Answer Is Only Part of Service Resolution
Service teams need trusted knowledge, customer and transaction context, policy guidance, system access, action boundaries, and consistent follow-through.
Inconsistent answers
Guidance changes across teams, channels, products, and agent experience levels.
Long after-call work
Summaries, classifications, updates, tasks, and follow-up communication add repeated effort.
Unsafe automation
Customer-facing actions require permissions, policies, thresholds, review, and clear escalation.
What AAIC delivers
AI Across the Service Resolution Workflow
Grounded knowledge assistance
Retrieve answers from approved product, policy, procedure, and customer-specific sources.
Real-time agent guidance
Recommend questions, actions, content, and escalation based on live interaction context.
Interaction summarization
Create structured summaries, disposition, intent, sentiment, commitments, and follow-up tasks.
Customer context integration
Connect CRM, orders, accounts, tickets, transactions, products, and relevant operational systems.
Governed action execution
Update records, create tasks, send approved communications, and route exceptions within defined boundaries.
Quality and analytics
Evaluate answer grounding, policy compliance, service outcomes, recurring issues, and workflow performance.
Service workflow orchestration
GTAF Connects the Conversation to Resolution
GTAF coordinates context retrieval, specialized agents, enterprise tools, policy checks, human approvals, follow-up actions, and observability across the service workflow.
Explore GTAFContextCustomer, product, order, policy, and history
AssistanceAnswer, guidance, summary, and recommendation
ControlPermissions, policy, approval, and escalation
ActionUpdate, task, communication, and follow-up
Applied use cases
Where This Creates Value
Live agent assist
Guide agents with grounded answers and next-best actions.
Customer self-service
Resolve approved requests with secure context and clear escalation.
After-call automation
Summarize, classify, update systems, and create follow-up tasks.
Support intelligence
Identify recurring contact drivers, product issues, policy gaps, and operational patterns.
Business outcomes
Outcomes Designed Around the Workflow
Frequently asked questions
Questions Buyers Ask
Can agent assist use live customer and order data?
Yes. AAIC can connect approved CRM, order, account, ticket, transaction, and product context while enforcing permissions and data controls.
Can AI take actions for the service agent?
Yes, for defined workflows. GTAF can enforce role permissions, business rules, approval thresholds, and audit records before a system update or customer action.
How does AAIC reduce hallucination risk?
AAIC uses approved source grounding, retrieval evaluation, citations or evidence, response testing, action boundaries, confidence thresholds, and human review based on the risk of the interaction.
Start with one high-value workflow
Redesign One Customer Resolution Workflow
Map the customer intent, knowledge, systems, policies, agent actions, and outcome that define a successful resolution.