When Copilot Code isn't enough. We build what it can't.
Copilot writes code. We build products, integrations and AI agents that reduce costs, grow revenue and scale with your business.
From renting capability to owning it
Rent capability. Automate the gaps. Own the advantage.
Stage 1: SaaS Applications
Renting capability.
- Rapid deployment
- Proven business processes
- Predictable subscription costs
- Vendor-managed updates
- Ideal for standard business functions
Stage 2: Copilot Code
Closing operational gaps.
- Internal dashboards
- Workflow automation
- Productivity improvements
- Department-level applications
- Rapid prototyping
When growth demands more
- Customer-facing applications
- Cross-platform integrations
- Long-running AI agents
- Proprietary workflows
- Operational scale
Stage 3: Bespoke Software & AI Agents
Creating enterprise value.
- Reduce operating costs through automation
- Generate revenue through customer applications
- Build proprietary business processes
- Own your code, data and intellectual property
- Security built on Microsoft Azure and Entra ID
- Unlimited integration possibilities
Business Outcomes
- Lower operating costs
- New revenue streams
- Faster time to market
- Greater business valuation
- No vendor lock-in
How we engineer governed AI software
We combine the model agnostic agility of GitHub Copilot with the enterprise rigour of Microsoft cloud infrastructure to build what Copilot Code can't.
Customer-Facing Apps & Portals
Portals and apps your customers and partners use directly, with external identity, your branding, and the scale, uptime and security that anything outside your tenant demands.
A Graduation Path from Copilot Code
When an internal app outgrows Copilot Code, we rebuild it in your GitHub and Azure as application and infrastructure code, so GitHub Copilot can reason over the complete solution and it stays easy to extend.
CLI-Powered Agent Automation
Command Line Interfaces allow coding agents to do real grunt work. Agents don't just write scripts, they provision cloud infrastructure, run test suites, and execute deployments deterministically.
Model-Agnostic Copilot & Foundry Agents
Microsoft Copilot, GitHub Copilot and Microsoft Foundry all offer models from multiple providers, so your solution is not tied to any particular AI lab. We design governed, observable agents that can evolve as models and providers improve.
Bring vibe coded prototypes inside your tenant
Replit, Lovable, Claude Code and Codex are great for validating ideas quickly. Customer-facing or complex apps need control of the infrastructure, costs and security: we migrate the code, set up secure test and production environments, and deliver everything as infrastructure as code in your Git repository, so you can maintain and extend it with GitHub Copilot long after the project ends.
Governed AI Agents with Microsoft Foundry
Autonomous agents only create value when they are secure, observable and accountable. We build agents in Microsoft Foundry so you retain control of identity, permissions, spending and oversight while your agents get on with the work.
Cost Control
Budgets, hard quotas, token usage monitoring and semantic caching so the agents and apps we build never run up surprise Azure bills.
Least-Privilege Agent Identity
Every agent and app we build gets its own identity with only the access it needs.
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 engagements with clear milestones 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 customer-facing apps, complex integrations and Foundry agents at pace with AI-assisted development, with security, governance and monitoring embedded from day one.
Deployment & Team Enablement
Recorded handover training calls explain the architecture, development processes and key decisions, so your internal team or another developer can maintain and extend the solution 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. Simple internal tools can often be rebuilt in Copilot Code. For anything customer-facing or more complex, we migrate your prototype into clean, maintainable code deployed in your controlled environment, which is then just as easy to iterate on.
If our staff can build apps with Copilot Code, why do we need you?
For simple internal tools, you may not. Copilot Code, now in preview, is excellent for small internal apps, dashboards and workflows, and your MSP is well placed to set it up and govern it. You need us when the app faces customers, depends on complex integrations, involves agents acting on your behalf, or has outgrown what Copilot Code can manage.
How do we know when an app has outgrown Copilot Code?
The usual signals are external users or customers needing access, integrations across several systems, heavy data volumes or complex logic, agents that need to run unattended, or a need for your own release process, automated tests and separate environments. If any of those apply, it is worth a conversation.
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 AI development builds priced?
Software and agent builds are 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 customer-facing app, integration or agent you'd like to build, or the internal app that's outgrown Copilot Code.