Building Reliable AI Solutions
for Enterprise Needs
At BGTS, we combine decades of enterprise IT expertise with AI engineering to deliver secure, compliant, and scalable solutions. Our approach is designed for complex, regulated industries where reliability, governance, and adaptability are critical to success.
Why Choose BGTS?
Trusted by Regulated Industries
With decades of IT and digital transformation experience, BGTS delivers compliant, enterprise-ready AI solutions for complex environments from banking and insurance to manufacturing and life sciences.
End-to-End Expertise
We combine strategic consulting, AI engineering, and integration capability to support the full AI lifecycle from vision and roadmap to deployment and optimisation.
Security, Compliance, and Governance
All solutions align with GDPR, DORA, ISO, and Cyber Essentials Plus frameworks, embedding privacy, transparency, and responsible AI principles by design.
Flexible Delivery Models
Our WiseShore model blends nearshore, onshore, and offshore capabilities providing cost efficiency without compromising agility or proximity.
Resilient by Design
BGTS engineers build systems with redundancy, monitoring, and adaptability ensuring reliable performance under evolving business conditions.
Customisation
Our consultants and AI engineers work closely with your organisation to ensure every solution aligns with your unique goals and challenges.
Our Service Offerings
AI Strategy & Roadmap
AI Strategy & Roadmap
We help enterprises design a future-ready, scalable, and secure AI strategy supported by clear governance, capability assessments, and enterprise-wide enablement plans. Our approach ensures that AI adoption delivers measurable, sustainable value aligned with business priorities.
BGTS combines deep enterprise IT heritage with advanced AI engineering to build actionable strategies and scalable roadmaps. We enable organisations to adopt AI confidently, accelerate value realisation, and transition to long-term, future-ready operating models.
Maturity & Capability Assessment
- Assessment of existing AI use cases and digital capability
- Evaluation of data quality, accessibility, security, and architecture
- Gap analysis between current capabilities and target AI vision
- Benchmarking against industry standards and regulatory expectations
Readiness Across Data / People / Technology
- Data readiness analysis
- Workforce and skills readiness assessment
- Technology stack evaluation
- Identification of bottlenecks affecting AI adoption
Governance & Risk Management
- Policy and guardrail definition for privacy, ethics, and compliance
- Risk assessments covering model behaviour and auditability
- Evaluation processes for models, datasets, and workflows
- Runtime monitoring and accountability mechanisms
Enterprise-Wide Roadmap
A structured approach guiding transformation from experimentation to enterprise-wide enablement.
Foundation & Quick Wins
- Prioritised use-case portfolio
- Data readiness assessment
- Initial governance guardrails
Scaling & Operation
- Operating model design.
- Team structuring
- Deployment of pilot programs to production
Enterprise Adoption
- Full-scale integration
- Advanced capability building
- Cross-functional AI workflows
Value Realisation
- KPI tracking
- Value metrics analysis
- Continuous improvement loops
Data Engineering & AI Readiness
Data Engineering & AI Readiness
We align your AI vision, portfolio, and AI operating model. We define the value you will pursue, build the data foundations to support it, and manage risk with clear governance.
AI Ambition & Use-Case Portfolio
Executive alignment on priority use cases and expected value across everyday and game-changing opportunities.
Deployment Strategy
SaaS or API, PaaS or IaaS, or self-hosted, balancing speed, control, privacy, and cost.
Data Readiness Assessment
Availability, diversity, quality, lineage, and ethics; go/no-go workshops with improvement plans.
Operating Model & Adoption
Team structures, roles, delivery processes, and guardrails needed to operate and scale AI across the organisation.
Risk & Governance
Policies and controls for visibility, traceability, runtime inspection, and information governance.
Measurement & Value Realisation
KPIs, value tracking, and continuous improvement.
AI Integration & Modernisation
AI Integration & Modernisation
We enhance and modernise existing and legacy systems by embedding AI capabilities that improve performance, extend lifecycle, and create new value without disruptive replacements. Our modernisation approach avoids unnecessary rebuilds by adding intelligence and automation directly into current platforms, ensuring continued ROI and smoother adoption of future AI capabilities.
AI-Enhanced Legacy Systems
Adding intelligence, automation, and decision support to systems already in use.
System Uplift & Modernisation
Improving speed, accuracy, and usability with AI-driven enhancements.
Intelligent Extension of Existing Workflows
Introducing predictive and generative capabilities without redesigning core platforms.
Modern Architecture Enablement
Transitioning systems toward microservices, event-driven patterns, or modular AI components.
Cloud or On-Premise Modernisation
Upgrading your environment according to operational, regulatory, and security needs.
Generative AI Enablement
Generative AI Enablement
We help enterprises adopt Generative AI safely and effectively, focusing on content generation, knowledge enhancement, and domain-specific copilots.
Domain-Specific Copilots
Assist HR, finance, legal, and operations teams.
RAG-Based Knowledge Access
Ground responses in verified internal data.
Content Automation
Generate, summarise, and transform enterprise documents.
Multiple LLM Usage
Use multiple LLMs for accuracy, speed, and cost balance.
Document Understanding
Extract and analyse structured and unstructured content.
Responsible GenAI
Guardrails and evaluation for safe enterprise use.
AI Agents & Multi-Agent Systems
AI Agents & Multi-Agent Systems
BGTS builds agentic AI ecosystems that connect autonomous agents, data, and enterprise platforms. We design agents that execute tasks, learn from outcomes, and collaborate across workflows. From orchestration to evaluation and deployment, our approach ensures adaptability, transparency, and measurable impact across both cloud and on-premise environments.
AI Agent Design & Development
Autonomous agents that learn, act, and coordinate systems aligned with your business needs.
Agent Evaluation & Optimisation
Testing and refining performance using real-world data.
Deployment Flexibility
Supporting secure cloud and on-premise environments.
Scenario-Specific Agents
Customised agents designed for distinct business functions such as IT and HR aligned with industry demands.
Omnichannel Access
Agents accessible through chat, voice, dashboards, and enterprise applications.
Multi-Model Compatibility
Support for multiple LLMs, ensuring the right balance of accuracy, speed, and cost.
Integration Ecosystem
Connected agents with CRMs, ITSM, ERPs, or data warehouses (ServiceNow, Jira, etc.)
Multi-Agent Orchestration
Collaboration between agents for scalable, intelligent operations with adaptable workflows.
Machine Learning Services
Machine Learning Services
We design, train, and operationalise machine learning models that solve concrete business problems, from forecasting and optimisation to detection and decision support.
Machine Learning Consulting
Identify high-value use cases, assess feasibility, and define the roadmap, KPIs, and success metrics.
Model Development & Implementation
Build supervised, unsupervised, and reinforcement models for NLP, vision, and time-series, then package for production.
Data Engineering for ML
Prepare reliable training and inference data with pipelines, quality controls, lineage, and feature stores.
Machine Learning Integration
Embed models into existing systems and workflows via APIs, microservices, and event triggers.
MLOps
Establish reproducible pipelines, model registry, CI/CD, automated testing, and policy-based releases.
Optimisation and Support
Monitor drift, bias, and performance, run A/B tests, tune models, and manage lifecycle improvements.
Enterprise BI & Analytics Platforms
Enterprise BI & Analytics Platforms
We combine AI, big data, and real-time analytics to deliver intelligence dashboards and predictive insights that inform strategic decisions, optimise operations, and drive measurable growth across the enterprise.
AI-Driven Dashboards
Real-time intelligence tailored to business functions and KPIs.
Predictive & Prescriptive Analytics
Forecast trends, identify risks, and recommend next best actions.
Unified Data Views
Consolidated reporting from CRMs, ERPs, data warehouses, and operational systems.
Embedded Analytics
Insights integrated directly into enterprise applications and workflows.
Self-Service Analytics
Tools that empower teams to explore data without relying on engineering.
Scalable Architecture
Cloud or on-premise platforms built for high-performance analytics.
Custom AI Applications
Custom AI Applications
From enterprise search and document intelligence to risk assessment and workflow automation, we create custom AI applications tailored to your systems and objectives.
Enterprise Search & Discovery
AI-powered search across documents, systems, and knowledge bases.
Document Intelligence
Extraction, classification, summarisation, and analysis at scale.
Risk & Compliance Analytics
Detect anomalies, trends, and early indicators of operational risk.
Workflow Automation
Intelligent automation for repetitive or high-volume tasks.
Internal Tools & Add-Ons
Custom AI components embedded directly into current platforms.
Modular Deployment
Standalone applications or embedded modules aligned with your tech stack.
AI for IT Operations
AI for IT Operations
BGTS leverages AI for ITOps through Praxila, an AI-driven IT operations centre delivering deployable modules that improve accuracy, consistency, and speed across the operational lifecycle.
AI-Assisted Contact Centre
Enables faster, more consistent request intake across voice and digital channels, with structured context and clean handover when needed.
AI-Enhanced Record Processing
Improves record accuracy and consistency at creation so routing, reporting, and automation work reliably.
AI-Driven Knowledge Base
Turns operational resolutions into reusable knowledge and makes guidance available during service delivery.
AI-Based Alarm Optimisation & Correlation
Reduces alert noise and correlates signals so teams can triage faster and act on clearer incident candidates.
AI Orientation & Governance Bot
Improves consistency by guiding teams through standards, procedures, and governance expectations.
AI-Driven Competency Analytics
Measures capability and maturity using real operational data to support workforce development and service quality.
AI-Led ITSM Improvement
Supports continuous improvement by analysing ITSM structures and recommending targeted optimisation.
AI Strategy & Roadmap
We help enterprises design a future-ready, scalable, and secure AI strategy supported by clear governance, capability assessments, and enterprise-wide enablement plans. Our approach ensures that AI adoption delivers measurable, sustainable value aligned with business priorities.
BGTS combines deep enterprise IT heritage with advanced AI engineering to build actionable strategies and scalable roadmaps. We enable organisations to adopt AI confidently, accelerate value realisation, and transition to long-term, future-ready operating models.
Maturity & Capability Assessment
- Assessment of existing AI use cases and digital capability
- Evaluation of data quality, accessibility, security, and architecture
- Gap analysis between current capabilities and target AI vision
- Benchmarking against industry standards and regulatory expectations
Readiness Across Data / People / Technology
- Data readiness analysis
- Workforce and skills readiness assessment
- Technology stack evaluation
- Identification of bottlenecks affecting AI adoption
Governance & Risk Management
- Policy and guardrail definition for privacy, ethics, and compliance
- Risk assessments covering model behaviour and auditability
- Evaluation processes for models, datasets, and workflows
- Runtime monitoring and accountability mechanisms
Enterprise-Wide Roadmap
A structured approach guiding transformation from experimentation to enterprise-wide enablement.
Foundation & Quick Wins
- Prioritised use-case portfolio
- Data readiness assessment
- Initial governance guardrails
- Operating model design.
- Team structuring
- Deployment of pilot programs to production
Enterprise Adoption
- Full-scale integration
- Advanced capability building
- Cross-functional AI workflows
Value Realisation
- KPI tracking
- Value metrics analysis
- Continuous improvement loops
Data Engineering & AI Readiness
We align your AI vision, portfolio, and AI operating model. We define the value you will pursue, build the data foundations to support it, and manage risk with clear governance.
AI Ambition & Use-Case Portfolio
Executive alignment on priority use cases and expected value across everyday and game-changing opportunities.
Data Readiness Assessment
Availability, diversity, quality, lineage, and ethics; go/no-go workshops with improvement plans.
Deployment Strategy
SaaS or API, PaaS or IaaS, or self-hosted, balancing speed, control, privacy, and cost.
Operating Model & Adoption
Team structures, roles, delivery processes, and guardrails needed to operate and scale AI across the organisation.
Risk & Governance
Policies and controls for visibility, traceability, runtime inspection, and information governance.
Measurement & Value Realisation
KPIs, value tracking, and continuous improvement.
AI Integration & Modernisation
We enhance and modernise existing and legacy systems by embedding AI capabilities that improve performance, extend lifecycle, and create new value without disruptive replacements. Our modernisation approach avoids unnecessary rebuilds by adding intelligence and automation directly into current platforms, ensuring continued ROI and smoother adoption of future AI capabilities.
AI-Enhanced Legacy Systems
Adding intelligence, automation, and decision support to systems already in use.
System Uplift & Modernisation
Improving speed, accuracy, and usability with AI-driven enhancements.
Intelligent Extension of Existing Workflows
Introducing predictive and generative capabilities without redesigning core platforms.
Modern Architecture Enablement
Transitioning systems toward microservices, event-driven patterns, or modular AI components.
Cloud or On-Premise Modernisation
Upgrading your environment according to operational, regulatory, and security needs.
Generative AI Enablement
We help enterprises adopt Generative AI safely and effectively, focusing on content generation, knowledge enhancement, and domain-specific copilots.
Domain-Specific Copilots
Assist HR, finance, legal, and operations teams.
RAG-Based Knowledge Access
Ground responses in verified internal data.
Content Automation
Generate, summarise, and transform enterprise documents.
Multiple LLM Usage
Use multiple LLMs for accuracy, speed, and cost balance.
Document Understanding
Extract and analyse structured and unstructured content.
Responsible GenAI
Guardrails and evaluation for safe enterprise use.
Agentic AI Platform
AI Agent Design & Development
Autonomous agents that learn, act, and coordinate systems aligned with your business needs.
Agent Evaluation & Optimisation
Testing and refining performance using real-world data.
Deployment Flexibility
Supporting secure cloud and on-premise environments.
Scenario-Specific Agents
Customised agents designed for distinct business functions such as IT and HR aligned with industry demands.
Omnichannel Access
Agents accessible through chat, voice, dashboards, and enterprise applications.
Multi-Model Compatibility
Support for multiple LLMs, ensuring the right balance of accuracy, speed, and cost.
Integration Ecosystem
Connected agents with CRMs, ITSM, ERPs, or data warehouses (ServiceNow, Jira, etc.)
Multi-Agent Orchestration
Collaboration between agents for scalable, intelligent operations with adaptable workflows.
Machine Learning Services
We design, train, and operationalise machine learning models that solve concrete business problems, from forecasting and optimisation to detection and decision support.
Machine Learning Consulting
Identify high-value use cases, assess feasibility, and define the roadmap, KPIs, and success metrics.
Model Development & Implementation
Build supervised, unsupervised, and reinforcement models for NLP, vision, and time-series, then package for production.
Data Engineering for ML
Prepare reliable training and inference data with pipelines, quality controls, lineage, and feature stores.
Machine Learning Integration
Embed models into existing systems and workflows via APIs, microservices, and event triggers.
MLOps
Establish reproducible pipelines, model registry, CI/CD, automated testing, and policy-based releases.
Optimisation and Support
Monitor drift, bias, and performance, run A/B tests, tune models, and manage lifecycle improvements.
Enterprise BI & Analytics Platforms
We combine AI, big data, and real-time analytics to deliver intelligence dashboards and predictive insights that inform strategic decisions, optimise operations, and drive measurable growth across the enterprise.
AI-Driven Dashboards
Real-time intelligence tailored to business functions and KPIs.
Predictive & Prescriptive Analytics
Forecast trends, identify risks, and recommend next best actions.
Unified Data Views
Consolidated reporting from CRMs, ERPs, data warehouses, and operational systems.
Embedded Analytics
Insights integrated directly into enterprise applications and workflows.
Self-Service Analytics
Tools that empower teams to explore data without relying on engineering.
Scalable Architecture
Cloud or on-premise platforms built for high-performance analytics.
Custom AI Applications
From enterprise search and document intelligence to risk assessment and workflow automation, we create custom AI applications tailored to your systems and objectives.
Enterprise Search & Discovery
AI-powered search across documents, systems, and knowledge bases.
Document Intelligence
Extraction, classification, summarisation, and analysis at scale.
Risk & Compliance Analytics
Detect anomalies, trends, and early indicators of operational risk.
Workflow Automation
Intelligent automation for repetitive or high-volume tasks.
Internal Tools & Add-Ons
Custom AI components embedded directly into current platforms.
Modular Deployment
Standalone applications or embedded modules aligned with your tech stack.
AI for IT Operations
BGTS leverages AI for ITOps through Praxila, an AI-driven IT operations centre delivering deployable modules that improve accuracy, consistency, and speed across the operational lifecycle.
AI-Assisted Contact Centre
Enables faster, more consistent request intake across voice and digital channels, with structured context and clean handover when needed.
AI-Enhanced Record Processing
Improves record accuracy and consistency at creation so routing, reporting, and automation work reliably.
AI-Driven Knowledge Base
Turns operational resolutions into reusable knowledge and makes guidance available during service delivery.
AI-Based Alarm Optimisation & Correlation
Reduces alert noise and correlates signals so teams can triage faster and act on clearer incident candidates.
AI Orientation & Governance Bot
Improves consistency by guiding teams through standards, procedures, and governance expectations.
AI-Driven Competency Analytics
Measures capability and maturity using real operational data to support workforce development and service quality.
AI-Led ITSM Improvement
Supports continuous improvement by analysing ITSM structures and recommending targeted optimisation.
Whitepaper:
Leveraging AI in IT Operations
Download the whitepaper to learn how AI is reshaping IT operations, from smarter monitoring and reporting to faster resolution and scalable service delivery. Get practical guidance and real-world insights from BGTS.
Platform Enablement
Agentic AI Platforms
- Copilot for M365 Integration
- Enterprise Data Access with RAG
- Teams + Copilot for Support
- Multi-step autonomous execution
- High-context enterprise reasoning
- RAG-integrated automation
- AWS-native multi-agent orchestration
Platform-Native AI
- AI-Augmented Service Management
- Now Assist for ITSM / HR / CSM
- Predictive Ops & Remediation
- Knowledge Intelligence
- Smart Issue & Project Handling
- Confluence AI Workspace
- Incident & Ops Intelligence
- Workflow Automation
Intelligent Systems,
Real Outcomes
BGTS delivers scalable AI solutions built on solid architecture, clean data, and enterprise-grade engineering. We help you modernise platforms, integrate GenAI, automate IT operations, and deploy analytics that drive measurable value. Let’s make your business smarter.
Take Your Business
to the Next Level
Empower your organisation with AI solutions. Contact BGTS today to discover how our AI expertise can transform your business to increase productivity and efficiency.







