Optimise your business with bespoke software and agents. Governed, secure and easy to maintain.
AI coding agents empower every business to build for its own bespoke needs. We establish a governed development environment, and build agents and small, secure bespoke connective tissue apps that you can easily maintain. You own the code and have full observability so you can manage or tweak with the same agents we built them with.
From SaaS rigidity to bespoke flexibility
Previously, business processes were limited by the inflexibility of Saas apps. Today, with the right core Saas apps and AI tools, you can securely bridge those gaps with bespoke apps and agents; you can even improve customer experience and staff productivity along the way.
The Old SaaS Rigidity
Waiting for third-party software vendors to build the features you need:
- Having to buy too many licenses for access to simple data
- Forced into unnecessary license tiers for niche features
- Integrations limited by the incentives of their partnerships team
- Integrations never working quite how you want them to
- Inability to audit integrations to understand what is breaking
- Inflexible customer portals
The Code-First AI Era
Building bespoke, niche sidecar software tailored to your exact business:
- All you need is an API, a CLI, Git, and a modern coding agent
- Agents execute the heavy lifting from scaffolding to cloud infrastructure
- Full ownership: code lives in your GitHub, runs in your Microsoft Azure tenant
- Complete security wrapping with Microsoft Entra ID and Managed Identities
How we engineer governed AI software
We combine the model agnostic agility of GitHub Copilot with the enterprise rigor of Microsoft cloud infrastructure.
CLI-Powered Agent Automation
Command Line Interfaces allow coding agents to do real grunt work. Agents don't just write scripts — with Azure CLI, azd, and GitHub CLI, they provision cloud infrastructure (IaC/Bicep), run test suites, and execute deployments deterministically.
Application & Infrastructure as Code
All deliverables are delivered as application and infrastructure code so GitHub Copilot can reason over the complete solution. Easy to extend, maintain, and evolve over time.
Model-Agnostic Copilot & Foundry Agents
GitHub Copilot and Microsoft Foundry agents are model agnostic, so your solution is not tied to any particular AI lab. We design governed, observable agents that can evolve as models and providers improve.
Cost Observability by Design
Azure subscription cost data and Microsoft Foundry agent traces give you visibility of usage from infrastructure through to individual model calls. Monitor spend, set budgets, and understand where agents are consuming resources before costs become surprises.
Turn vibe coded prototypes into governed production assets
Replit and Lovable are great for validating ideas quickly. To turn a prototype into a sustainable business tool, you need control of the infrastructure, costs and security, often within your Microsoft tenant. We migrate the code, set up secure test and production environments, and deliver everything as infrastructure as code in your Git repository. That means you'll be able to understand, maintain and extend the solution with GitHub Copilot long after the project ends.
Governed AI Agents with Microsoft Foundry
A lot of agents are not really agents at all. A lot of real agents are unobservable experiments with significant security liabilities. We build Agents inside Microsoft Foundry so you maintain absolute control over security and budget.
Cost & Token Control
Hard quotas, token usage monitoring, and semantic caching so experimental agents never run up surprise cloud bills.
Zero Secret Exposure
Azure Managed Identities and Entra ID authentication instead of raw API keys pasted into codebase files.
Prompt & Model Governance
Centralised system instructions and automated regression testing across new model releases via Microsoft Foundry.
End-to-End Tracing
Full audit logs and trace inspection across all agent tool calls, API requests, and data modifications.
From Concept to Deployed Software
Delivered as structured project engagements with clear milestones, fixed deliverable pricing, and complete code handover.
Architecture & Environment Setup
Configure the professional development toolchain: Git repo, CLIs, Azure subscriptions, and separate development, test, and production environments.
Agent-Assisted Build Sprints
Build applications, data platforms and integrations at pace using AI-assisted development. We embed enterprise-grade security, governance and monitoring from day one, delivering solutions that are fast to build, secure to operate and ready to scale.
Deployment & Team Enablement
Recorded handover training calls explain the architecture, development processes, and key decisions behind the solution, so your internal team can understand, maintain, and extend the application confidently.
Frequently Asked Questions
Who owns the code and intellectual property?
You do, 100%. All code is mastered in your GitHub repositories and deployed directly into your Microsoft Azure tenant. Even if we do a first prototype build in our environment, it will then be cloned to your GitHub and deployed from there with our standard Terms of Business granting you explicit ownership. Patching holds no proprietary lock-in, licensing claims, or hosting dependencies over your software.
We built a prototype in Lovable/Replit — why can't we just use that in production?
Vibe coding platforms are fantastic for rapid exploration, proving ideas and personal projects, but they occupy an awkward middle ground for corporate IT. They neither offer the contractual guarantees of SaaS, nor the clear control and ownership that enterprise IT requires. As such we migrate your prototype into clean, maintainable code deployed in your controlled environment, which is then just as easy to iterate on as it was in the vibe coding platform.
Why do you emphasize CLIs so much in agentic development?
When AI coding agents have access to well-structured CLIs (like the Azure Developer CLI, Azure CLI, or GitHub CLI), they can perform complex multi-step orchestration without brittle UI clicks. Agents can generate Infrastructure as Code, validate configuration, deploy cloud resources, and test endpoints deterministically. Crucially, this means your GitHub repo can store the version controlled master design of your app, including its deployed infrastructure, and you can understand it in plain english with GitHub Copilot.
How does Microsoft Foundry help prevent 'agent sprawl'?
Without proper governance, AI agents can become difficult to oversee, leading to increased cost, security, and compliance risks. Microsoft Foundry helps organisations maintain control through centralised deployments, built-in safety controls, evaluation frameworks, budget management, and detailed tracing. By supporting models from multiple AI providers through a single platform, it also reduces vendor lock-in and increases flexibility as AI capabilities evolve. The result is a more secure, observable, and manageable AI estate.
How are these AI development projects priced?
All AI development is delivered as project-based work under a clear Statement of Work (SOW). We quote day-rate based fixed pricing per agreed deliverable, so you know exactly what will be built, when it will be delivered, and what it will cost before work begins.
Talk to us about Governed AI Development.
Tell us about the application, integration or agent you'd like to build and deploy in your Microsoft environment.