Success Stories

Clients We've Helped

Real outcomes from real engagements. Every metric measured and realised within 3 months.

STRATEGY

AI Advisory & Strategy

Product & Technology

AI Product Strategy & Use-Case Prioritisation

30+initiatives assessed

25+stakeholders engaged

3 weeksto product led AI strategy

Problem Statement

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Fragmented AI pilots with no product-embedded strategy; >30 initiatives but little differentiation or ROI evidence at exec level
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Product leadership needed a clear AI strategy for product differentiation, aligned priorities, and an executable roadmap
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Governance/talent gaps slowed safe adoption: <5% engineers AI/ML-ready; guardrails not operationalised

SynaptyX Approach / Solution

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Rapid AI-first Advisory: immersion interviews across 25+ stakeholders (Exec, Sales/CS, Product/Eng, Data/Gov), followed by synthesis using proprietary accelerators
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Objective prioritisation: multi-lens scoring (impact, feasibility, data readiness, time-to-value, competitive defensibility) → ranked shortlist with decision visuals, ROI ranges, and Build/Buy/Partner guidance (Combined exec questionnaires, product demos, data/gov deep dives, etc. informed scoring)
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Operate & scale: product-centred AI CoE + guardrails, talent enablement strategy, and privacy-safe telemetry data-spine direction

Project Highlights

AI Product Strategy Workshop

AI Product Strategy Workshop

AI CoE Design

AI CoE Design

Competition Benchmarking

Competition Benchmarking

Use Case Prioritisation

Use Case Prioritisation

“

Through detailed, systematic research and an objective, weighted methodology, SynaptyX delivered an AI strategy on product differentiation. We received a high-quality, clear, thoroughly documented artifact with recommendations and an executable roadmap—delivered with a disciplined, transparent, business-first approach—and we're happy with the outcomes.

— VP Product & Engineering, Client

Large Enterprise

AI Strategy Roadmap & CoE Setup for a Large Enterprise

20+stakeholders engaged

20+use cases identified

Top 5prioritised for implementation

Problem Statement

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Challenge: The client faced difficulties in leveraging AI due to fragmented business processes, a lack of strategic alignment, and unclear AI adoption priorities
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Need: A comprehensive assessment and consulting engagement to establish an AI strategy, prioritise use cases, and set up an AI Centre of Excellence (AI CoE)

SynaptyX Approach / Solution

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Discovery & AI Education: Engaged 20+ stakeholders across multiple business functions to understand current challenges and assess data readiness. Educated client stakeholders on AI foundations
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Use Case Identification & Prioritisation: Identified 20+ potential AI use cases across business functions. Prioritised the top 5 high-impact, high-feasibility use cases based on the prioritisation framework
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AI Strategy Development and CoE Setup Framework: Created a comprehensive AI roadmap tailored to each business function. Designed a scalable AI strategy focused on delivering measurable ROI. Developed a framework and set up the AI CoE to drive governance, adoption, and continuous improvement

Project Highlights

Use Case Scoring

Use Case Scoring

Data Readiness

Data Readiness

Use Case Prioritisation

Use Case Prioritisation

AI CoE Framework

AI CoE Framework

DATA

Data Intelligence

Telecommunications

Building an Analytics-Ready Data Foundation for a Leading Telecom Company

1-3%CAC reduction

~10%efficiency cost savings

80+Operators scaled with recommendations

Problem Statement

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No single view of campaign performance across 65+ countries and 80+ operators due to disconnected engagement + CRM data
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Engagement platform raw events sat separately from CRM records, making end-to-end attribution and optimisation unreliable
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Campaign performance signals from Google Marketing/Analytics weren't consistently stitched into internal data, limiting true CAC/ROI visibility

SynaptyX Approach / Solution

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Discovery, data landscape mapping & integration design: Engaged 15+ stakeholders across business and IT to catalogue data sources, flows, and ownership. Applied our AI-powered framework for metadata extraction, cataloguing, and data quality scoring to expedite assessment (25+ data sources catalogued). Mapped datasets across Engagement platform, CRM, Google Marketing/Analytics, and adjacent enterprise systems
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Data unification + enrichment and data model creation: Centralised and standardised siloed sources into a unified data lake (BigQuery). Enriched with Google Marketing/Analytics signals for campaign performance, audience, and channel metadata. Built an optimised data model powering the analytics engine for operator-level spend decisions and consistent metric calculations (CAC, ROI, conversion rate). Enabled budget-shift recommendations and performance monitoring

Project Highlights

Data Foundation Architecture

Data Foundation Architecture

Analytics Dashboard

Analytics Dashboard

Campaign Performance Metrics

Campaign Performance Metrics

Data Model

Data Model

INSIGHTS

AI Analytics & Insights

Telecommunications

AI-powered A/B Test Simulations

12%increase in top-ups

€0.55ARPU increase per user

6-8%reduction in churn

Problem Statement

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A Telco company struggled with static pricing strategies for prepaid top-up programs
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Manual campaigns consumed significant effort and lacked personalisation
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High churn risk and stagnant ARPU despite gamification efforts

SynaptyX Approach / Solution

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AI-augmented user segmentation based on usage patterns, purchase behavior, and price sensitivity profiles
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Deployed an AI recommendation engine that transformed manual campaigns into AI-driven personalised offers with optimised pricing tiers
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AI-infused A/B test simulation across user clusters to forecast response metrics (ARPU, conversion rate, top-up volume) and identify optimal pricing (recharge threshold), reducing test cycles from weeks to hours

Project Highlights

A/B Test Simulation Results

A/B Test Simulation Results

User Segmentation Analysis

User Segmentation Analysis

Pricing Optimisation

Pricing Optimisation

“

We needed a partner who understood our complex business; from day one SynaptyX got our commercial challenges, worked alongside us, and delivered measurable results within months. They turned problems into actionable analytical strategies with a collaborative approach—I'd recommend them to any org serious about turning data into real business value.

— CIO, Client

Digital Marketing

Analytical Insights & Recommendations to Boost Efficiency & Reduce CAC

1-3%CAC reduction

~10%efficiency cost savings

40%reduction in BI Backlog

Problem Statement

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Client's Digital Marketing team faced inefficiencies in campaign analysis
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Manual data analysis across multiple platforms led to delays and suboptimal decisions

SynaptyX Approach / Solution

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Data pipeline setup: Established secure data pipelines to ingest data from multiple client sources into the analytics platform
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Data model development: Developed a data model tailored for analytical solution consumption to enable optimised analytics
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Analytical solution feature development: Built solution features and configured metric logic for real-time insights, recommendations, and root-cause analysis

Project Highlights

Campaign Analytics Dashboard

Campaign Analytics Dashboard

Marketing Performance Insights

Marketing Performance Insights

SOLUTIONS

Custom AI Solutions

Public Sector / Governance

AI-driven Financial Statement Digitisation and Analytics for 4,500 Cities

80-85%reduction in manual effort

20-30%cost savings in finance

4,500+cities scaled

Problem Statement

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Organisations submit financial statements as scanned PDFs in non-standard formats, with quality varying from poor to acceptable
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Only limited line items were manually digitised, creating partial views without drill-down capabilities
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Varying accounting practices made cross-entity comparisons and analytics challenging

SynaptyX Approach / Solution

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AI-powered extraction from scanned PDFs using intelligent OCR for parsing, structuring, and confidence scoring, while flagging inconsistencies and missing data
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Standardised financial data using unified templates and made it analytics-ready
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Automated conversion to downloadable Excel and database integration using APIs
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Scalable deployment architecture designed for a 4,500+ city rollout
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Interactive dashboard with conversational analytics for predictive and prescriptive insights on the digitised, standardised data

Project Highlights

PDF Conversion to Excel

PDF Conversion to Excel

PDF Download Dashboard

PDF Download Dashboard

Extracted Excel

Extracted Excel

Financial Services / Claims

Detecting Fraudulent Claims with AI-powered Agents & Workflow Automation

80%reduction in manual verification

3Xincreased fraud detection

20Xreduced false positives

Problem Statement

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Manual verification bottlenecks while validating claim documents against submitted bank statements, leading to delays and errors
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High risk of fraudulent claims due to transaction ID manipulation, narration mismatches, and adjusted records in bank statements
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Lack of end-to-end automation, resulting in increased operational costs

SynaptyX Approach / Solution

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AI-powered fraud detection agent developed to automatically compare claim documents (ledger accounts, supporting bank statements, etc.)
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Intelligent matching & validation to highlight inconsistencies in narration or transaction amounts
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Anomaly detection to identify records that may have been manipulated
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Workflow automation (n8n) to build a seamless end-to-end pipeline from document ingestion and validation to discrepancy flagging, reporting, and automated stakeholder notifications

Project Highlights

Fraud Detection System

Fraud Detection System

Document Validation Process

Document Validation Process

Enterprise / Support Operations

AI-Powered Customer Ticket Management Transformation

50-75%reduction in agency dependency

<1 minute200% Faster ticket resolution

60-80%Faster Insights

Problem Statement

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Customer ticket management was manual and agency-dependent, leading to inefficiencies and delays in resolution
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High operational overheads due to multiple hand-offs across data aggregator, agencies, and departments, with limited ownership and visibility into root-cause analysis and follow-ups

SynaptyX Approach / Solution

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Implemented a phased AI-infused transformation to shift from agency-heavy processes to an internally owned, AI-enabled system
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Introduced AI-powered ticket categorisation, first-response automation, RCA/action plan generation, and conversational analytics via SynaptyX, reducing dependency on agencies
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Enabled AI dashboards, SLA monitoring, and data-driven insights to empower customer support teams and improve governance

Project Highlights

Solution Data Flow

Solution Data Flow

Analytics & Insights

Analytics & Insights

Ticket Deep-Dive and RCA

Ticket Deep-Dive and RCA

Ticket Management

Ticket Management

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