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Customer experience expertise

Customer Experience

The most underrated revenue function in most organisations.

Customer experience influences retention, loyalty, and growth. Every interaction is either building trust or creating friction. Whether the challenge is improving satisfaction, reducing support costs, increasing retention, or deploying AI responsibly, Preconsultify connects companies with consultants who have solved similar customer experience challenges before.

The decision frame
01
Understand the journey
Needs, friction, and customer expectations
02
Design the service
Channels, workflows, and operating model
03
Improve the outcome
Satisfaction, retention, and efficiency

Good customer experience connects journey design, service operations, and technology to stronger loyalty and sustainable growth.

01 / The brief

Common Customer Experience Challenges

Companies typically engage Customer Experience consultants when customer expectations rise, service operations become harder to scale, or support costs increase.

01

Improving Customer Satisfaction

Identifying friction points and improving customer experience across key interactions.

02

Reducing Support Costs

Designing efficient service models that maintain quality while reducing operational costs.

03

Increasing Customer Retention

Improving onboarding, engagement, and service experiences that strengthen loyalty.

04

Scaling Support Operations

Building processes, workflows, and operating models that support growth.

05

Deploying AI in Customer Service

Implementing chatbots and automation in ways that improve outcomes for both customers and teams.

06

Creating Seamless Customer Journeys

Connecting channels, teams, and data to deliver a more consistent experience.

Who This Is For

Built for leaders
who need results.

Whether you are a startup scaling rapidly, a mid-market company improving customer operations, or an investor-backed business under pressure to increase retention and efficiency, Preconsultify's Customer Experience experts have been where you are.

01

High-Volume Consumer Businesses

Fintech, e-commerce, telecom, and other businesses managing large volumes of customer interactions.

02

SaaS Companies

Building scalable support operations as customer bases and product complexity grow.

03

Companies Deploying AI in Customer Service

Implementing automation and conversational AI with clear operational and customer outcomes.

04

Service-Led Businesses

Improving customer journeys, retention, and service delivery across multiple channels.

Consultant Network

Work with people who understand the work behind the title.

Depending on the challenge, companies may be matched with consultants who have experience as:

01Customer experience leaders
02Service operations specialists
03Customer success executives
04Contact centre transformation experts
05Customer journey and retention specialists
06AI-enabled service consultants
Representative consultant profiles
Consultant

Customer Experience Director

Previously at
BCG
Consultant

Service Operations Principal

Previously at
Bain
Consultant

Customer Success Lead

Previously at
PwC
Consultant

Experience Transformation Partner

Previously at
Accenture

Logos are shown only to indicate prior experience represented within our consultant network.

Industries we serve

Customer Experience expertise across industries.

Case Studies

Problems solved. Outcomes delivered.

Fintech · Bengaluru

Tiered Service Architecture for a Consumer Fintech

The Challenge

The company’s customer-support operation was handling high volumes of repetitive service requests, including balance inquiries, transaction-status checks, and account-limit requests that required minimal human judgement but consumed significant agent capacity. As routine queries increased, customer-support teams struggled to maintain response quality and resolution speed for more complex cases involving disputes, fraud reviews, and account-related issues.

The Approach

An independent customer-experience consultant redesigned the support structure using a tiered service architecture that separated routine service interactions from higher-complexity customer cases. The engagement included chatbot implementation, workflow redesign, support-routing optimisation, conversation-history integration, escalation management, and refinement of agent-handling processes across the customer-support function. Particular focus was placed on reducing avoidable agent workload while improving first-contact resolution for cases requiring human intervention.

Outcome

The revised support model reduced routine-contact dependency on human agents and improved handling quality for higher-complexity customer issues. The company also established a more scalable support workflow with clearer separation between automated service interactions and specialised human support.

58% by month five
Routine Contacts Automated
-34%
Human-Handled Volume
69% → 81%
First-Contact Resolution
View case study
Insurance · Pune

NPS Recovery Programme for a Regional Life Insurer

The Challenge

The company’s Net Promoter Score had declined across multiple measurement cycles while customer complaints continued to increase around renewals, claims processing, and service accessibility. Leadership identified recurring friction across policy servicing workflows, particularly around renewal communication, branch dependency, and claims processes that still required in-person handling for several common customer requests. The organisation needed clearer visibility into which operational issues were most directly affecting customer experience outcomes.

The Approach

An independent customer-experience consultant conducted journey mapping across multiple customer segments to identify operational friction points within the insurer’s direct control. The engagement included redesign of renewal communication workflows, implementation of WhatsApp-based self-service journeys, digitisation of selected claims processes, branch-process redesign, and frontline conversation training for customer-facing teams. Particular focus was placed on reducing avoidable branch dependency while improving renewal clarity and claims accessibility for policyholders.

Outcome

The revised customer-service structure improved self-service adoption, reduced claims-related branch visits, and created a more consistent renewal experience across customer touchpoints. The company also established clearer operational ownership around customer-friction issues affecting service outcomes.

-11 → +6 in nine months
NPS
68%
Self-Service Renewals
-31%
Branch Walk-ins
View case study
Design experiences customers stay for

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