AI architecture that turns AI into real business automation.
Halbert Technologies is an AI Architecture & Automation consultancy.
We help organisations move from AI experimentation to AI systems that work in real business processes.
We design the architecture, connect the data and applications, build AI agents and automation, and put the security, governance and operational controls around them.
Your cloud. Your data. Your systems. Your controls.
Our engineers have delivered for teams at
AI projects rarely fail because the model does not work.
They fail when the AI cannot access the right data, cannot safely interact with business systems, cannot be governed, or never makes it into everyday operations.
We focus on the architecture around the AI.
From AI idea to production system.
We design AI systems around five connected capabilities.
Architect
Define the target architecture before technology decisions become difficult to change.
Connect
Bring the systems, data and knowledge together that the AI needs.
Reason
Choose and orchestrate the right AI capabilities for the task.
Automate
Allow AI to support or execute defined business processes within clear boundaries.
Govern
Control what AI can access, decide and do.
What we do
The architecture and engineering capabilities needed to take AI into production.
AI Architecture & Readiness
Assess your current estate, identify viable AI opportunities and define a target architecture aligned to your business strategy.
AI Automation & Agents
Design and build AI-powered workflows, assistants and agents that automate defined business processes.
AI Integration & Data Foundations
Connect AI to your CRM, ERP, data platforms, documents, APIs and operational systems.
AI Governance, Security & Assurance
Design the controls required to deploy AI responsibly, securely and with appropriate human oversight.
AI Solutions & Intelligent Decisioning
Apply machine learning and generative AI to forecasting, classification, anomaly detection, knowledge and decision support.
Managed AI Operations
Monitor, evaluate, optimise and support AI systems and agents after they enter production.
We don’t start with a product.
We start with the business process, the decision, the data, the systems involved and the level of automation that is appropriate.
Then we select the technology.
Amazon Web Services
Amazon Bedrock
Microsoft Azure
Microsoft Foundry
Google Cloud
Gemini Enterprise Agent Platform
Oracle Cloud Infrastructure
OCI Enterprise AI
AWS. Microsoft Azure. Google Cloud. Oracle Cloud. Databricks. Snowflake. Microsoft Fabric. Open-source technologies.
From first conversation to live automation.
Every engagement follows four stages.
Assess
Understand the business outcome, existing architecture, data, identity model and automation opportunity.
Architect
Define the target state, integration model, security controls, AI approach, operating model and roadmap.
Build
Develop and integrate the solution inside your environment using engineering practices appropriate for production.
Operate
Monitor performance, behaviour, cost, security and business outcomes and continuously improve the system.
Where we apply AI
The architecture principles stay consistent. The processes, data, controls and decisions change.
Financial services
AI for onboarding, KYC, financial crime, document processing, customer operations, decision support and regulated workflows.
Professional & business services
AI knowledge workers, document intelligence, proposal automation, research, customer operations and workflow automation.
Public sector & transport
Case and policy assistants, operational intelligence, asset data, forecasting and controlled automation.
Energy & utilities
Real-time operational data, predictive maintenance, field-service support and asset intelligence.
Manufacturing & supply chain
Supply-chain automation, forecasting, document processing, quality analytics and operational decision support.
Healthcare & life sciences
Administrative automation, document intelligence, capacity forecasting and controlled AI assistants.
Retail & consumer goods
Customer support, demand forecasting, product knowledge, content workflows and operational automation.
Another sector?
The architecture principles stay the same. Tell us about your processes and data.
Ready to turn an AI opportunity into a production system?
Tell us about the process you want to automate, the decision you want to improve, or the AI capability you want to introduce.