Omnichannel
Servicing
Voice, chat, email, secure message and social requests handled by one team working from a single view of the customer, so the answer does not change with the channel.
Customer Support
Operations
Every servicing conversation answered with the full
account context behind it, on the channel the customer
chose, within the timelines the regulation sets.
THE CHALLENGE
Service Volumes Are Rising
Across Channels While Account
Context Stays Fragmented
Customers now open service requests on voice, chat, email, secure message and social channels, and expect the same answer from each one. The information needed to resolve those requests sits across the core banking platform, the card processor, the payments hub and the lending system, so agents spend a significant share of every interaction gathering data rather than resolving the issue. Handle times and first contact resolution suffer, ramp time for new agents runs into months, and every interaction carries regulatory weight under UDAAP expectations and error resolution timelines.
Anaptyss improves resolution quality and turnaround within your existing servicing stack. No platform replacement is required.
OUR SOLUTION
Full Account Context,
Assembled Before the Agent
Starts Talking
We document how each request type moves through your systems, including the lookups and workarounds that sit outside the documented process. Our AI accelerators assemble account context, classify inbound requests, draft responses and complete the routine transactions. Your agents handle the conversation and the judgment, with a complete record of every step the automation performed.
Explore Our AI SolutionsWhat We Do
Omnichannel
Account Maintenance
and Servicing Requests
Profile and contact updates, statement and document requests, stop payments, card actions, standing instruction changes and beneficiary updates, completed in your system of record with the audit trail attached.
Digital Banking and
Technical Support
Enrollment, authentication and access issues, bill pay and transfer failures, mobile wallet provisioning and app troubleshooting, resolved at tier one wherever the case allows.
Inbound Document
and Request Intake
Attachments, forms and correspondence classified and converted into structured service requests at the point of arrival, so nothing waits in a shared mailbox for manual sorting.
Knowledge
Management and
Agent Assist
Servicing procedures, product rules and disclosure language maintained as a single current source, surfaced to the agent inside the interaction instead of held in separate documents.
Complaint Intake,
Classification and
Routing
Complaints identified against your taxonomy at first contact, logged with the required detail, and routed to the accountable owner within the applicable response window.
Quality Assurance and
Interaction Review
Interaction sampling and scoring against your quality framework and regulatory requirements, with findings fed back into coaching and knowledge content rather than filed as a report.
Self-Service and
Containment Enablement
Identification of the request types that customers can complete without an agent, and the content, workflows and journeys required to move that volume to self-service.
OUR APPROACH
Delivered Through
Digital Knowledge Operations™
Operating Model Built on
Your Product Rules
We establish your product rules, disclosure requirements, complaint taxonomy and escalation paths before any team structure is set, then build the workflow around them. Your service book is not fitted to a standard contact center model.
Configured to Your
Servicing Stack
Your core banking platform, CRM, servicing portal, telephony and case management tools define how the work runs. Agents are trained and certified in that configuration before they take a live interaction.
Continuity Across Full
Interaction
The agent who takes the request also completes the follow-up work behind it, including system updates, callbacks and case closure. That continuity holds first contact resolution stable through volume peaks.
Automation Applied Where
Volume Concentrates
Request classification, context assembly, response drafting and after-call work are handled by accelerators built for servicing workflows, not by general-purpose automation adapted to them.
Decision Authority
Remains With You
Fee decisions, complaint outcomes, exception approvals and customer remediation remain with your team. We operate everything around the decision, including verification, documentation and the audit trail.
AI ACCELERATORS
Purpose-Built AI for the Volume
Behind Customer Servicing
Each accelerator is deployed where manual effort concentrates and integrates with the
servicing platforms you already operate.
Classifies inbound correspondence, forms and attachments and converts them into structured service requests at intake, then applies the same extraction to documentation collected during the interaction.
Design and operating effectiveness testing of servicing controls across UDAAP expectations, error resolution timelines and complaint handling requirements, with reviewer sign-off at each step and a complete audit trail.
Role-based training and scenario practice for servicing agents on your product rules, disclosure language and complaint handling requirements, which shortens ramp time before an agent takes live interactions.
BUSINESS IMPACT
Measurable Gains Across
Response Time, Resolution and
Quality
Faster First
Response Across
Every Channel
Requests are classified and routed on arrival rather than queued for manual triage, which shortens the time between a customer raising an issue and receiving a substantive answer.
Higher First
Contact
Resolution
Account context and procedure guidance reach the agent inside the interaction, so fewer requests require a transfer, a callback or a second contact to close.
Shorter Ramp for
New Agents
Scenario-based training against your own product rules brings new agents to competence sooner, which keeps service levels stable through hiring cycles and seasonal volume.
A Defensible
Record of Every
Interaction
Classification, disclosure delivery, complaint logging and resolution steps are captured consistently, so servicing quality can be evidenced to auditors and examiners rather than reconstructed after the fact.
Related Insights
Long formWhitepapers
Layered research on governance, model risk, and controls.
WeeklyBlog
Short signals from teams building AI inside regulated walls.
Practitioner guideseBooks
Step-by-step playbooks you can hand to an operating team.
Live & on demandWebinars
Sessions with practitioners, broadcast and archived.
See Where AI Can Improve Your
Customer Support Operations
Assess your servicing workflows to identify opportunities for faster resolution, stronger controls and lower
manual effort.