Offerings · AI Consultancy

Ideas into production AI.

End-to-end AI consultancy: we identify high-value use cases, prepare the data foundation, build and deploy AI systems, and embed governance so models stay accurate, auditable and safe across AWS, Azure and GCP with Databricks and Snowflake, handed over for your team to run.

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What we cover

The full arc, from strategy to running system.

AI Strategy & Use-Case Prioritisation

Executive workshops mapping goals to high-ROI use cases
Build-vs-buy analysis, value sizing, phased plan
Risk, compliance and change-management

Data Readiness for AI

Source data prep; batch and streaming ingestion
Quality, lineage and privacy controls
Feature engineering and semantic layers

AI/ML Solution Design

Chatbots, agents, RAG, recommendations, prediction
Reference architectures for latency, scale and cost
Security: secrets, network, role-based access

Model Development & MLOps

Model selection and training classical ML and LLMs
CI/CD for data, features, models and prompts
Automated testing, evaluation, drift detection

Responsible AI & Governance

Policy, access controls, audit logging, human-in-the-loop
Bias testing, safety checks, model cards
Compliance aligned to your industry

Deployment, Monitoring & Optimisation

Inference pipelines, vector search and caching
Model, data and cost observability with alerts & SLOs
Improvement loops with feedback and A/B testing

Why Tenplus

Outcomes first, prototypes never the goal.

Outcomes first - we start with clear KPIs and design only what moves the needle.
Production over prototypes - real users, measurable impact, handover your team can own.
Governance by design - policy-driven access, audit trails, bias/risk controls, monitoring.
Multi-cloud experts - AWS, Azure, GCP with Databricks and Snowflake patterns for scale.
Fast value - mobilise in a week, quick wins by Sprint Two, a roadmap for 90 days and beyond.