AI & Agentic Solutions

Production AI and agents on AWS and Azure

Agentic AI & AI Agents

Build AI agents that act on your systems, with guardrails built in.

Generative AI on Amazon Bedrock

Secure generative AI applications inside your AWS environment.

AI Solutions on Microsoft Foundry

Enterprise AI on Microsoft Foundry and Azure OpenAI.

RAG & Enterprise Knowledge Assistants

Accurate, cited answers from your own documents and data.

AI Platform Foundations & LLMOps

Run AI in production with DevOps discipline.

Data & ML Platform Engineering

Design and build scalable data and ML platforms for analytics and AI workloads

Cloud Architecture & Data Platform Engineering

Design scalable cloud and data platforms that last

Cloud Platform Foundations

Establish secure, scalable cloud landing zones and core platform services

Cloud Strategy & Architecture Reviews

Assess cloud architectures to improve scalability, security, and cost efficiency

Cloud-Native Application Architecture

Design modern, resilient application architectures for cloud-native environments

Hybrid Cloud & Migration

Design, modernise, and operate hybrid and on-prem infrastructure

Hybrid Cloud & Migration

Enterprise-ready hybrid infrastructure, built for scale

DevOps, CI/CD & Infrastructure Automation

Automate infrastructure and delivery pipelines with confidence

DevOps, CI/CD & Infrastructure Automation

Automate delivery. Reduce risk. Scale with confidence.

Cloud Cost Optimisation & FinOps

Control cloud spend with clear visibility and governance

Cloud Cost Optimisation & FinOps

Engineering-led cost optimisation with real, measurable savings

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Agentic AI & AI Agents

Design, build and run AI agents that take real actions in your systems, safely and observably, on AWS and Azure.

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From Chatbot to Agent.

Agentic AI goes beyond answering questions. Agents plan multi-step tasks, call your APIs and tools, and hand over to a person when a decision needs one. We design agent workflows around your processes, build them on Amazon Bedrock AgentCore or Microsoft Foundry Agent Service, and put the guardrails, evaluation and monitoring in place so they can be trusted in production.

What This Includes

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Use-case discovery and agent design: tasks, tools, data access and success measures

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Tool and API integration so agents can act on your systems (CRM, ticketing, internal APIs)

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Human-in-the-loop approvals for sensitive or high-impact actions

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Multi-agent workflows using orchestration frameworks such as LangGraph

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Guardrails, least-privilege permissions and an audit trail for every action an agent takes

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Agent evaluation: test suites, regression checks and quality scoring before each release

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Production monitoring, tracing and cost tracking on Bedrock AgentCore or Foundry Agent Service

How an Engagement Works

We usually start with a four to six week proof of concept on one well-defined workflow. Once it meets agreed quality and cost targets, we harden it for production with a security review, an evaluation pipeline, monitoring and a runbook your team can own.

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Why Tech Teams Trust Us

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Engineers who have run production cloud platforms, not just demos

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Security, identity and cost controls designed in from day one

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Delivery on AWS and Azure, using the tools your teams already run

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Let’s Build Your First Production Agent

Book a free discovery session to find the workflow where an AI agent will save your team the most time, and what it will take to run it safely.