Services

Senior engineering for the platform underneath your AI.

Four tightly scoped services for CTOs, VPs of Engineering and technical founders who know they need to modernise for AI, and want it architected properly the first time. Most engagements start with anAI readiness assessment.

01

AI Integration & Agentic Workflows

AI that works inside your rules, not around them.

Put AI to work inside your products and operations: assistants that answer from your own data, agents that take approved actions in your systems, and automations that connect them, with quality checks, cost limits and human sign-off built in. Managed or private models, your choice.

  • Azure OpenAI
  • Microsoft Foundry
  • Self-hosted LLMs (vLLM)
  • n8n
  • Model Context Protocol
  • Azure AI Search
  • .NET / Semantic Kernel
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02

Enterprise Platform Engineering & Azure Cloud Architecture

A cloud platform where the secure way is also the fast way.

We design and build Azure foundations (networking, identity, infrastructure as code, deployment pipelines and monitoring) so your teams ship AI features in days, not quarters, and every pound of cloud spend is accounted for.

  • Azure Container Apps
  • AKS
  • Azure Front Door
  • Entra ID
  • Bicep / Terraform / OpenTofu
  • Azure DevOps
  • GitHub Actions
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03

Fintech & High-Compliance Software Development

Software that survives an audit as well as a traffic spike.

Payments, collections, investment products and financial back-office systems built the way regulators expect: no double charges, every transaction reconciled, a full audit trail, data kept where it must stay, and access limited to who needs it. That includes the AI now running inside them.

  • .NET
  • Azure SQL
  • Event-driven architecture
  • Stripe and payment gateways
  • Key Vault and HSM-backed keys
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04

SaaS Platform Modernisation

From a separate copy per customer to one platform that serves them all.

Many SaaS products still run a separate copy for each customer, which makes every release and every AI rollout slower and more expensive. We move you to one shared platform that keeps every customer’s data strictly separate, even when AI is doing the work, with usage-based billing built in.

  • ASP.NET Core
  • Azure SQL elastic pools
  • Azure AD B2C / Entra External ID
  • Next.js
  • Stripe
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How we deploy

Your models, your network, your call.

We pick the model hosting per workload, by data sensitivity, latency and cost, and route between options through one gateway so the decision can change without a rewrite.

Managed

Azure OpenAI and Microsoft Foundry

The fastest path to frontier models, with enterprise data terms, regional deployments and private endpoints. Our default for most workloads.

  • Azure OpenAI
  • Microsoft Foundry
  • Private Link
Self-hosted

Open-weight models in your subscription

For sensitive data, strict residency or high steady volume: open-weight models served with vLLM on AKS GPU pools or Container Apps serverless GPU. Prompts and data never leave your environment.

  • vLLM
  • AKS GPU pools
  • Container Apps GPU
Hybrid

One gateway, routed by policy

An AI gateway routes each request by data classification, latency and cost, with per-customer limits and usage tracking. Switch providers without touching application code.

  • API Management
  • Token metering
  • Fallback routing

Workflow automation

n8n as the orchestration layer between agents and your systems.

Agents are only useful when they can act on systems of record. We deploy self-hosted n8n inside your network to connect models and agents to CRM, ERP, ticketing, finance and messaging, with approval steps where a person must decide and every workflow versioned in Git.

We run our own lead capture on it: this site’s contact form posts to an n8n workflow.

  • Self-hosted in your VNet. Credentials and data stay inside your subscription.
  • Human approval nodes. Agents propose; people approve money, messages and commitments.
  • Workflows as code. Exported, reviewed and promoted through environments like any release.
  • Observable. Executions traced and alerted alongside the rest of your platform.

Find out what is stopping your AI from reaching production.

In two to three weeks, our AI readiness assessment gives you a score across six areas, your risks ranked by impact, a target architecture and a costed 90-day roadmap.