Customer Service Applications
Service applications where the interaction, the history and the actions live together instead of across several systems.
Pega Customer Service Transformation
Give service teams one place to work, and customers one consistent answer.
Overview
Service quality usually suffers from fragmentation rather than effort — the agent has four systems open, the history is split across them, and the answer depends on who picks up. Nextherrion builds service applications on Pega that bring the interaction into one place, guide the agent through the process, and resolve the request rather than logging it.
Agent desktop, guided resolution, intake across channels, self-service and the reporting that shows where service actually breaks down.
Unified Agent Desktop
One screen bringing together what an agent needs, removing the switching that consumes handling time and causes mistakes.
Guided Resolution
Walking an agent through the correct process for the request, so the answer does not depend on individual experience.
WHAT WE DO
Customer Service Services We Offer
Omnichannel Intake
Requests arriving by phone, email, portal or chat handled as the same work, so the channel does not change the outcome.
Service Case Management
Requests that cannot be resolved immediately handled as cases, with ownership and deadlines rather than a promise to call back.
Customer Self-Service
Moving routine requests to self-service where customers prefer it, keeping agents for what genuinely needs a person.
Knowledge Integration
Bringing the right guidance to the agent at the point of the request, rather than requiring them to know where to look.
Service Reporting
Resolution times, escalation and repeat-contact reporting, which is where the real service problems are visible.
OUTCOMES
What Service Transformation Changes
Most handling time is spent finding things rather than deciding them. Consolidating what an agent needs is usually the largest single improvement available.
- One screen instead of several
- Consistent answers across agents
- Shorter handling times
- Fewer repeat contacts
- Requests resolved, not logged
- Service problems made visible
FAQ
Frequently Asked Questions
Why do agents need several systems open?
Usually because service grew around systems bought for other purposes. Consolidating the agent view is often the highest-value change available.
Will guided resolution frustrate experienced agents?
If it is rigid, yes. Guidance should be available rather than compulsory for routine cases, and that balance is a design decision.
Does self-service reduce service quality?
Not when it covers requests customers would rather handle themselves. It degrades quality when it is used to block access to a person.
Can it work with our telephony and chat?
Yes, through integration with the channel platforms in place. Intake is normalized so handling does not vary by channel.
How do we measure whether service improved?
Resolution time, first-contact resolution and repeat contacts. Repeat contacts are the most honest of the three and the most often ignored.
How disruptive is this for agents?
Staged rollout with training and a pilot group. Agents are also the best source of what is currently wrong, so they are involved during design.
TECHNOLOGY
Built on Industry Leading Technology
AI and Generative AI, agent frameworks, cloud platforms, data tooling and modern application stacks — chosen per problem rather than per preference.
HOW WE DELIVER
Service Transformation Process
- 01Service Process Discovery
- 02Agent Journey Analysis
- 03Application & Desktop Design
- 04Configuration & Integration
- 05Testing & UAT
- 06Agent Training & Pilot
- 07Rollout & Optimization
How many systems does an agent open to answer one question?
That number is usually where the improvement is.