Service
AI & Data Engineering
We build practical AI — retrieval-augmented assistants, document extraction, forecasting and BI — grounded in your own data with evaluation, guardrails and human oversight.
- 70%
- Manual effort removed
- 94%
- Extraction accuracy
- 6×
- Faster reporting cycles
- 24/7
- Autonomous support cover
Capabilities
What this practice actually covers
LLM copilots, document intelligence and analytics pipelines that turn scattered operational data into decisions.
RAG Copilots & Assistants
Assistants grounded in your policies, SOPs and product data with citations, access control and refusal behaviour you can audit.
Document Intelligence
Invoice, PO, KYC and claim extraction combining OCR with LLM reasoning and a human-in-the-loop review queue.
Predictive Analytics
Demand forecasting, churn scoring, credit risk and anomaly detection wired directly into operational systems.
Data Platform Engineering
Lakehouse and warehouse builds with orchestrated ELT, lineage, contracts and data-quality monitoring.
BI & Decision Dashboards
Power BI, Metabase and embedded analytics with governed semantic layers instead of duelling spreadsheets.
Voice & Conversational AI
Speech-to-text, intent routing and multilingual voice bots — including the engine behind our IVR product.
Technology
The stack we build this on
Chosen for long-term supportability, hiring depth and operational maturity rather than novelty.
Models
AI Tooling
Data
ML Ops
Visualisation
Delivery process
Six phases, no black boxes
You will know exactly where the project stands at any point, and what happens next.
Use-Case Triage
Score candidate use cases on value, data readiness and risk — we say no to the ones AI cannot honestly solve.
Data Readiness
Source audit, quality profiling, PII classification and the ingestion plan that makes everything downstream possible.
Prototype & Evaluate
A working prototype with a labelled evaluation set and accuracy thresholds agreed before production is discussed.
Guardrails
Prompt-injection defence, PII redaction, grounding checks, refusal policy and full interaction logging.
Integrate
Embed into CRM, ERP, helpdesk or portal so the output lands where work actually happens.
Monitor & Improve
Drift detection, feedback capture and scheduled re-evaluation as models and data evolve.
Architecture & design patterns
The patterns we apply, and why
Architecture decisions are recorded in a decision log you keep — readable, challengeable, and still useful long after we have handed over.
Retrieval-Augmented Generation
Answers grounded in your indexed corpus with citations, so the model reasons over facts instead of recalling them.
Human-in-the-Loop
Confidence thresholds route uncertain cases to a reviewer; every correction becomes training signal.
Medallion Data Architecture
Bronze, silver and gold layers give raw fidelity, cleaned entities and business-ready marts.
Event-Driven Ingestion
Change-data-capture streams keep the AI layer fresh without nightly batch lag.
Evaluation-Driven Development
Golden datasets and regression evals gate every prompt or model change, exactly like unit tests.
Semantic Layer
One governed definition of each metric so every dashboard agrees on what revenue means.
Deliverables
Exactly what you receive
Not a vague promise of 'the software'. Every engagement lists its artefacts up front, and handover is not complete until each one is signed off.
- AI opportunity assessment & scorecard
- Data quality and lineage report
- Evaluation harness with golden dataset
- Production RAG / model service
- Guardrail and safety policy document
- Dashboards and semantic model
- Drift monitoring alerts
- Team enablement workshop
FAQ
Questions about ai & data engineering
No. We deploy through enterprise endpoints with zero-retention terms, or fully self-hosted open models where data residency demands it. Your corpus stays inside your boundary.
Related services
Often combined with this
Custom Software Development
Product-grade web, mobile and desktop platforms engineered around your exact workflow — not a template forced to fit it.
Cloud & DevOps Engineering
Cloud architecture, Kubernetes, CI/CD and observability that turn deployment from a weekend event into a Tuesday afternoon.
Enterprise Integration
API platforms, middleware and system-to-system choreography that make your CRM, ERP, banking and logistics stack behave as one.
Free consultation
Need ai & data engineering?
Send us the brief — or just the problem. We respond with an approach, an indicative timeline and a costed range within three working days.