AI Powered
AI has moved from impressive demos to dependable business tooling. Today’s large language models (LLMs) and AI agents can read, reason, write and take action inside your systems — and the organisations putting them to work now are building an advantage that compounds.
Canary designs, builds and supports AI features that plug into the software you already run. We focus on practical outcomes: less manual effort, faster answers and more informed decisions — delivered with the same engineering rigour we apply to every system we build.
Why now?
Before today’s LLMs, “AI” in business software was mostly rules and basic pattern matching. The current generation of models is different in three ways that matter:
They reason
Modern models follow complex instructions, work through multi-step problems and handle long documents in a single pass.
They act
Through tool use, APIs and the Model Context Protocol (MCP), models can query databases, call services and complete tasks — not just chat.
They’re affordable
Costs have fallen and speeds have risen sharply, so AI can now run on every invoice, ticket or record — not just a handful.
The gap between “interesting demo” and “production feature” has collapsed. Organisations that move now are building lasting advantage.
Five examples to supercharge with AI
There are many areas where we see AI deliver clear returns for organisations like yours. Here are five of them — and most businesses have at least one costing real time every week.
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Documents and data capture
Turn paperwork into structured data — with far less re-keying.
- Read invoices, purchase orders, forms, contracts and emails — PDFs, scans and photos included.
- Extract the fields you need, validate them against your existing records and post them straight into your system.
- Send only the uncertain cases to a person, with the reason highlighted.
Example: supplier invoices matched to purchase orders and queued for approval automatically, with mismatches flagged for review.
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Customer and staff support
Fast, accurate answers grounded in your own knowledge.
- Assistants that answer from your policies, product information and past tickets — and cite their sources.
- Incoming requests automatically categorised, prioritised and routed to the right person.
- Draft replies prepared for staff to check and send, cutting response times without losing the human touch.
Example: a help-desk inbox where every new request arrives categorised, prioritised and with a suggested reply.
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Search, reporting and insight
Ask your data a question in plain English.
- Natural-language questions answered from your databases and documents, with read-only, permission-aware access.
- Semantic search that understands meaning and intent, not just keywords.
- Scheduled briefings that summarise trends and flag unusual activity before it becomes a problem.
Example: “Which customers ordered less this quarter than last?” answered directly from your SQL Server data, with the underlying query shown.
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Workflow automation and AI agents
Hand off multi-step work, while keeping people in control.
- Agents that gather information from several systems, prepare quotes, reconcile records and update data.
- Connected safely to your applications through APIs and MCP, with only the permissions each task needs.
- Human approval at the checkpoints that matter, and a full audit trail of every action taken.
Example: a new-client onboarding process that collects and checks details, sets the client up across your systems, then asks a person to sign off.
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Legacy system modernisation
Understand, document and migrate ageing systems faster.
- AI-assisted analysis that maps how an older system actually works, including undocumented business rules.
- Faster, test-backed migration of code and data to a modern, supportable platform.
- AI features added to the new system as part of the move, rather than as an afterthought.
Example: an ageing Microsoft Access application documented, rebuilt as a web application and given intelligent search along the way. See migrating legacy systems.
How to deliver AI that works
The hard part of AI is not the first demo — it’s making it reliable, secure and cost-effective in production. The delivery process is built around that.
- DiscoverIdentify the use cases with the highest value and lowest risk.
- PrototypeProve the idea with a pilot on your real data.
- EvaluateMeasure accuracy against test cases before anything goes live.
- IntegrateBuild it into your existing systems, workflows and security model.
- OperateMonitor quality and cost, and adopt better models as they arrive.
Build in guardrails from the start
Models and platforms
We are model-agnostic: we choose the model that best fits each task’s accuracy, speed, cost and data-handling needs, and design so it can be swapped as the field moves. We integrate AI into C# and ASP.NET applications, backed by SQL Server and PostgreSQL.
Get started
Bring us a process that takes too long, a question your data can’t answer, or an idea you want to test. We’ll tell you honestly whether AI is the right tool — and what it would take to make it work.
Talk to us about AIRead more about how we build software in our software development section.