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CASE STUDIES

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Explore how Ferris has enabled businesses in various sectors to address complex issues and achieve success.

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use cases

Client experience

use cases

Operational excellence

use cases

Regulatory and compliance

use cases

genAI, legacy application refactoring, and data platform

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Client experience use cases

CASE STUDIES

Next best opportunity / event-based sales

CLIENT PROBLEM

Product and regional specialization, along with fragmented incentive systems often hamper holistic client coverage, causing advisors to often miss opportunities

SOLUTION

genAI / large language model (LLM) enabled process to link CRM and public text, propose context aware “talking points” in digital or physical channels

CLIENT IMPACT

  • 150M € net new assets in 3 months
  • 8% top line growth
  • 31 new wealth management clients

Scalable advice

CLIENT PROBLEM

Clients, relationship managers, and investment experts often have overlapping and conflicting objectives. Need to align these interests in a personalized and yet compliant and customer-centric manner

SOLUTION

Create an investment advice process that makes trade-offs measurable and obvious including a feedback loop. Investment experts and relationship managers are aligned and digitally supported

CLIENT IMPACT

  • 37% increased contact between relationship managers and clients
  • Conversions from “read” to “signed” improved by 13%
  • Qualified feedback on individual ideas

Client 360º

CLIENT PROBLEM

How to augment net new assets (NNAs) intelligently mixing data of existing affluent / HNW / UHNW / entrepreneurs, clients, and public / 3rd party information

SOLUTION

Creating data mesh of all sources on Ferris and trained AI with a reinforcement loop involving the relationship managers

CLIENT IMPACT

  • Very high relationship manager satisfaction (more talking points = more business)

Churn analysis and alerting – banking

CLIENT PROBLEM

No systematic data-driven approach in banking to determine which clients are at risk of churn

SOLUTION

Creating data mesh of all sources on Ferris and trained AI with a reinforcement loop involving the relationship managers

CLIENT IMPACT

  • Increased assets under management (AuM) of turnaround clients by 25%
  • Decreased churn rate by 16%

Churn analysis and alerting – general

CLIENT PROBLEM

No systematic data-driven approach to determine which clients are at risk of churn

SOLUTION

Creating industry-specific data mesh of all sources on Ferris and trained AI with a reinforcement loop involving the account managers

CLIENT IMPACT

  • Several success stories similar to the one for banking

Operational excellence use cases

Automated marketing data analysis

CLIENT PROBLEM

Bank has no flexible client segmentation, marketing campaign run very inefficiently

SOLUTION

Established a marketing campaign system using internal and external data segmenting the clients by their behaviors

CLIENT IMPACT

  • More than 100 marketing campaigns executed by marketing team without needing our support

Provider 360º

CLIENT PROBLEM

Health insurer not able to establish a global 360° provider view due to many distinct providers with different local reporting standards

SOLUTION

Sourcing all claim and risk data feeds using Ferris to create automated claim-to-risk reports

CLIENT IMPACT

  • Semi-automation
  • Better overview
  • Risk portfolio could be significantly reduced

Claim2Risk mapping

CLIENT PROBLEM

Manual or semi-manual process to combine claim and risk information

SOLUTION

Creating data mesh of all sources on Ferris and trained AI with a reinforcement loop

CLIENT IMPACT

  • Very high satisfaction with risk and relationship managers
  • Insights for pricing

Investment prioritization

 

CLIENT PROBLEM

Overview on past / current technology and business projects cannot be compiled for future reasoning as context and stakeholders have changed and data is held within silos

 

SOLUTION

Leverage existing historic data and document corpus to extract and apply a knowledge graph for project proposals, improve decision baselines

 

CLIENT IMPACT

 

  • Supported discussions with decision makers

Refining skills / job roles along new company strategy (HR)

CLIENT PROBLEM

How to translate a company strategy into new skill-based job roles matching the 20XX strategy, explain employee’s skill gaps

SOLUTION

In collaboration with the client, we have defined 53 new job roles and related skills that align with the new strategy, using the Ferris AI model / ontology

CLIENT IMPACT

  • More than 92% employee acceptance
  • Real-time skill inventory of employees on top
  • Mobility moves increased by factor 4
  • Break-even < 12 months

Skill-based right-/out-placing intelligence (HR)

 

CLIENT PROBLEM

Telco company is about to dismiss 300 employees in legacy business due to structural change. How to be able to best match “leavers” with open positions in new business division

 

SOLUTION

AI-based match of “potential leavers” skill profile with the one from the company’s open positions using the Ferris Role-Skill-Model

 

CLIENT IMPACT 

 

  • Matching of nearly all leavers to open roles
  • 30M CHF gain (no retention plan needed)
  • No bad press
  • Break-even < 1 month

AI-based career advisor (HR)

CLIENT PROBLEM

Global furniture store wants to automate its career advisory process using AI

SOLUTION

AI-based match of user skill profile with open positions using the Ferris Role-Skill-Model

CLIENT IMPACT

  • Increase career advice efficiency
  • 30% increase of internal position filling
  • Break-even < 3 months

IoT data as a service

CLIENT PROBLEM

How to bring sensor data on an integrated data platform

SOLUTION

Ferris solutions based on logistics sensors (hardware) measuring on a real-time, IoT data as a service platform

CLIENT IMPACT

  • All IoT data needed from one platform in real-time

Regulatory and compliance use cases

Regulatory single source of truth (SSoT)

CLIENT PROBLEM

Need for a regulatory single source of truth with a holistic bank view before calculation and processing of regulatory reports

SOLUTION

A full-fledged SSoT data model built by Ferris solutions covering and integrating a multitude of core banking and other data sources

CLIENT IMPACT

  • 15M CHF recurring annual savings
  • Reuse of data for analytics platform
  • Reduce cost of data / AI use cases

Regulatory as a service

CLIENT PROBLEM

Regulatory reporting is cumbersome and expensive, and time-to-market is a big problem risking measures by regulator

SOLUTION

Built an efficient and compliant Ferris / AXIOM based business process outsourcing

CLIENT IMPACT

  • Timely implementation of regulatory reports
  • No issues with regulator
  • Cost savings

Intraday liquidity management optimization

 

CLIENT PROBLEM

How to optimize the liquidity buffer leveraging real-time data / AI methodologies

 

SOLUTION

Daily >40m liquidity transactions are processed to calculate the liquidity buffer dynamically and predict the future liquidity needed in line with the regulatory bandwidth

 

CLIENT IMPACT

 

  • Bank’s liquidity buffer could be reduced by 3bn CHF

Taxonomy enrichment

 

CLIENT PROBLEM

Regulatory taxonomies differ per country and regulator. Need to be unified manually (high efforts, inconsistencies)

 

SOLUTION

Automated approach on Ferris using classification data

 

CLIENT IMPACT

 

  • High reduction of manual work
  • Significantly improved data quality

Voice-based trade compliance

 

CLIENT PROBLEM

Relationship manager to classify every client call into the categories, “advice,” “trade,” or “social” in order to comply with regulatory needs. However, >40% of calls are wrongly classified

 

SOLUTION

Automatically classified each call using automated solution which translated voice to text and checked via a Ferris build compliance ontology

 

CLIENT IMPACT

 

  • Pilot phase with >95% success rate

Corporate governance control for boards of stock exchange-listed companies

CLIENT PROBLEM

Stock exchange: Board approval check of ESG report is done manually (high manual effort and checks on a monthly base)

SOLUTION

Automated solution using LLM to identify and score the board approval of an ESG report

CLIENT IMPACT

  • Automated process in real-time, reducing manual effort for control tasks by more than 90% success rate

B2B2B for environmental, social, and governance (ESG)

CLIENT PROBLEM

Use interactive ESG knowledge base for adding value for corporate clients in ESG reporting (e.g. for CO2 reporting)

SOLUTION

Built a solution to perform CO2 reporting along with benchmarking competitors

CLIENT IMPACT

  • Automated process in real-time, reducing manual effort for those tasks by more than 80% success rate

genAI, legacy application refactoring, and data platform use cases

GenAI for relationship managers

APPLICATION SCENARIO

GenAI enablement

CLIENT PROBLEM

Using OpenAI’s genAI, sensitive data will leave the bank

SOLUTION

Secure genAI chatbot on Ferris technology in a secure and private environment allowing “private LLMs” and algorithm training based on critical C4 client data and external data

CLIENT IMPACT

  • Employees can learn, experiment and work with a sophisticated genAI / LLM model without the bank running the risk of confidential data leaking

Green finance analysis

APPLICATION SCENARIO

GenAI enablement

CLIENT PROBLEM

How to automate preparation of selected company ESG analysis

SOLUTION

Secure genAI chatbot on Ferris technology in a secure, private environment allowing “private LLMs” and algorithm training based on internal and external ESG data

CLIENT IMPACT

  • ESG report comparison allowing an automated benchmarking

Chat with your FAQ / data

 

APPLICATION SCENARIO

GenAI enablement

 

CLIENT PROBLEM

Operation user is always asking same questions

 

SOLUTION

Secure genAI chatbot on Ferris technology in a secure, private environment allowing the use of sensitive client data

 

CLIENT IMPACT

 

  • Due to the secure environment, the bot could be trained very quickly and showed highly relevant answers within weeks

Multi-system regulatory consolidation

APPLICATION SCENARIO

Legacy application refactoring

CLIENT PROBLEM

Multiple clients to switch efficiently from a regulatory end-of-life product to a new regulatory system

SOLUTION

Pilot built to automate the interface mapping from operational system to new regulatory system

CLIENT IMPACT

  • Highly efficient product switch, thus reducing costs while keeping to timeline

AI self-service enablement

APPLICATION SCENARIO

Data platform and governance modernization

CLIENT PROBLEM

How to reduce time-to-market for data / AI use cases while reducing cost per use case

SOLUTION

As a side product of the regulatory SSoT bank, established a data platform containing a high percentage of usable data for any AI use case to run on top of

CLIENT IMPACT

  • Data platform evolved to a self-service AI platform, reducing the clients cost per use case dramatically, as business users were able to build their own AI use cases
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