AI Services
Data & AI
Legacy AI-fication
AI Learning
Data & AI
Intelligent Data Foundations & Production-Grade AI/ML
Our Data & AI practice establishes the intelligent data foundation every AI-ready enterprise requires. We architect and deploy end-to-end data pipelines, modern lakehouses, and production-grade AI/ML systems that convert siloed, raw data into governed, decision-ready intelligence—spanning data strategy, engineering, model development, and operationalization so AI outputs are trustworthy, explainable, and business-aligned.
Our approach is use-case-first and modular: we identify the highest-value business problems, then architect the data and AI infrastructure that solves them—delivering early wins while building toward comprehensive AI capability.
Key Service Areas:
- Data Strategy & Architecture: Data maturity assessment, target-state architecture (lakehouse, mesh, or hybrid), a prioritized AI roadmap, and regulatory alignment (GDPR, DPDP, emerging AI governance).
- Data Engineering & Pipelines: Scalable ingestion, dbt-based transformation, orchestration (Airflow, Prefect, Dagster), real-time streaming (Kafka), and data quality and observability with lineage tracking.
- AI/ML Model Development: Supervised and unsupervised learning, time-series forecasting, NLP, Large Language Models (fine-tuning, RAG), agentic AI systems, and computer vision.
- MLOps & Model Governance: CI/CD for models, drift monitoring with automated retraining, experiment tracking, explainability and fairness (SHAP, bias audits), and model risk management (SR 11-7, EBA).
- Analytics & BI Enablement: Self-service analytics, executive dashboards, insights embedded in CRM/ERP workflows, and AI-powered data storytelling.
Implementation Scenarios:
- Unifying fragmented customer data across CRM, ERP, and claims systems into a governed data lakehouse for enterprise-wide AI.
- A predictive loss-ratio model for a commercial insurer, with a full MLOps pipeline for monthly retraining.
- A RAG-based internal knowledge assistant that lets underwriters and brokers query policy wordings and precedent in natural language.
- Real-time fraud detection on payment event streams, with sub-second inference and explainability for fraud analysts.
Legacy AI-fication
Embedding AI into Inherited Systems — Without Rip-and-Replace
Most enterprise value is locked inside legacy systems—ageing ERPs, monolithic core platforms, and rule-based workflows that pre-date AI entirely. Rip-and-replace is rarely feasible or commercially justifiable. Bellatrix's Legacy AI-fication service embeds AI capabilities into existing systems progressively—using API integration layers, intelligent automation, agentic augmentation, and co-existence architectures that enhance legacy platforms without dismantling them.
The result is measurable productivity gain, reduced error rates, and autonomous decision support—while protecting technology investments and minimizing operational risk. Our methodology follows a structured five-stage approach: Discover, Design, Build, Deploy, and Sustain.
Key Service Areas:
- AI Opportunity Assessment: Process inventory and mapping, feasibility scoring, ROI modelling, and a prioritized, business-owned AI-fication roadmap.
- Intelligent Automation (AI + RPA): OCR and document intelligence, NLP-augmented classification and routing, exception-handling AI, and straight-through processing expansion.
- API & Integration Layer Design: AI microservices architecture, middleware and event-bus design, legacy system adapters (mainframes, green-screen), and near-real-time data synchronization.
- Agentic Process Augmentation: Process-monitoring agents, decision-augmentation agents, workflow-orchestration agents, and self-healing automation.
- Human-in-the-Loop Workflows: Confidence-threshold routing, reviewer augmentation interfaces, feedback-loop integration, and structured escalation logic.
Implementation Scenarios:
- Extending existing RPA bots with AI to read unstructured documents and clear exception and fallout queues.
- Exposing a mainframe or legacy ERP to modern AI services through custom adapters and a decoupled event bus.
- Deploying decision-augmentation agents that surface real-time risk scores alongside human reviewers.
- Confidence-threshold routing that auto-processes high-confidence cases and escalates the rest with full AI context.
AI Learning
Building Human AI Capability — Powered by Tech Baton
Technology alone does not deliver AI transformation. Organizations that invest in AI systems without building the human capability to work with, govern, and evolve them see adoption stall and ROI fall short. Bellatrix's AI Learning service closes this gap—building AI literacy, fluency, and applied competency across every level of the organization, from the boardroom to the front line, with programs tailored to each audience's industry, role, and maturity.
Delivery spans instructor-led workshops, self-paced digital learning, executive briefings, university partnerships, and embedded academy builds, structured around the ABCOFAI framework: Awareness → Building Blocks → Competency → Operations → Fluency → Agentic AI → Impact. All digital learning is delivered through our purpose-built LMS at ABCOFAI.COM.
Key Service Areas:
- AI Literacy for Leaders & CXOs: AI strategy fundamentals, AI risk and governance, responsible AI leadership, vendor evaluation, and hands-on transformation roadmapping.
- AI Fluency for Analysts & Managers: Use-case identification, interpreting AI outputs, data thinking, prompt engineering for business, and AI project collaboration.
- AI Workforce Readiness: Role-specific "AI in my role" modules, human-AI collaboration skills, data-contribution habits, and change readiness.
- University & Graduate Programs: Industry-readiness programme design, faculty development, and participation certification for AI-ready graduates.
- AI Academy Build & Train-the-Trainer: Competency frameworks, learning-pathway architecture, content-library development, facilitator certification, and academy governance.
- Responsible AI Initiative: Responsible-AI principles workshops, AI ethics for practitioners, and AI policy and governance design aligned to the EU AI Act and DPDP.
Implementation Scenarios:
- A four-week blended Industry Readiness Programme for final-year students, combining ABCOFAI.COM modules with live expert sessions.
- A two-day AI Leadership Initiative for a CXO cohort, producing a transformation roadmap and a governance charter.
- A full enterprise AI Academy: competency framework, role-based pathways, a 40-module content library, and twelve certified internal facilitators.
- An AI Workforce Readiness programme for 200 operations staff that cut post-go-live support tickets by 45%.
