AI Readiness Assessment
A review of your data, systems and workflows to identify where AI would actually pay off and where it would not.
SKAD IT Solutions has merged with Hexagon IT Solutions.
AI Transformation
Move AI from pilot to production across the business
SKAD IT Solutions helps organisations put AI into the systems people already use, connect it to real data and run it with the controls production demands.
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Clear ownership
Decision rights mapped early
Reviewable delivery
Visible work and release cadence
Maintainable handoff
Documentation built into delivery
Organizations SKAD Has Worked With
What We Do
AI Feature Integration
Search, generation, recommendation and analysis added into existing applications, so users get AI without leaving the tools they work in.
Data and System Integration
Secure APIs and connectors that let AI retrieve context from your systems and trigger real processes rather than just answering questions.
LLMOps and MLOps
Deployment, monitoring, evaluation, versioning and retraining pipelines, so models stay reliable after launch.
Governance and Compliance Controls
Access control, audit trails, output validation and human review, aligned with your regulatory obligations.
Team Enablement
Training and internal playbooks so your engineers can extend and maintain the AI systems we build.
Why Teams Choose Us
Production, not prototypes
The gap between a demo and a system that survives real traffic is where most AI projects die. That gap is the work.
Connected to real data
AI is only as useful as what it can see, so integration with your systems is a first-class part of the engagement.
Governed from day one
Access control, auditability and evaluation are designed in, not retrofitted after a compliance review.
Tools and Technologies
01
Models and Platforms
OpenAI
Anthropic
Azure AI
Google Vertex AI 02
Orchestration
LangChain
LlamaIndex 03
Vector and Data
Pinecone
pgvector
Snowflake 04
Operations
MLflow
Weights & BiasesLangSmithFrequently Asked Questions
Usually with a readiness assessment. It is cheap and it stops you building the wrong thing.
No. Most integrations read from where your data already lives.
Retrieval grounding, output validation, evaluation suites run on every change, and human review on high-stakes paths.
Yes, including self-hosted models where data residency rules require it.
Eight to sixteen weeks from assessment to a production feature, depending on integration depth.