Assess
Understand where AI can create genuine value before investing in projects.
- AI Readiness Assessment
- Opportunity Prioritisation
- AI Strategy Consulting
- Risk & Governance Review
Built an AI app? We’ll get it running in production.
From Lovable prototypes to enterprise AI systems. We deploy, host, monitor and support AI applications on managed cloud infrastructure.
Get a personalised AI readiness score, opportunity analysis and recommended first AI project in under 5 minutes.
Azure & AWS Hosting
CI/CD
Monitoring
Security
Human Support
Technology Ecosystem
Built on Proven Technology
We design, deploy and support AI applications using established cloud platforms, AI models, databases and development frameworks trusted by organisations worldwide.
Azure
aws
OpenAI
Anthropic
PostgreSQL
Docker
React
Node.js
Supabase
GitHub
B2B Sales Organisations
Consulting Firms
SaaS
Education & LMS
Professional Services
Bid & Proposal Teams
Industries we have delivered production AI work for. Client names withheld on request.
Recommended Starting Point · For organisations exploring AI for the first time
Most organisations do not have an AI problem. They have a prioritisation problem.
Before investing in AI projects, it helps to understand where AI can genuinely create value, what data is available, which workflows are suitable, and what risks need to be managed.
Our AI Readiness Assessment provides a structured review of your organisation’s readiness for AI adoption and identifies the highest-value opportunities.
Prototype to Production Services
How we take AI systems into production
Building an AI prototype with Lovable, Cursor, Bolt, Replit or Claude is easy. Running it reliably is the harder problem — and the one we focus on. We deploy, host, monitor and support AI applications on managed cloud infrastructure.
Managed Azure & AWS Hosting
Monitoring
CI/CD
Security
Human Support
Need help moving from prototype to production?
We help organisations deploy, host, monitor and support AI applications built with Lovable, Cursor, Bolt, Replit, Claude and custom development stacks — including managed AI hosting, AI monitoring and ongoing support for production AI systems.
Reference architecture
Your users
Your AI application
Azure App Service / AWS ECS / Container Apps
OpenAI · Claude · Open-source models
Database & storage
Monitoring · Backups · Support
How We Help
Assess · Build · Run
From initial assessment through to production deployment and ongoing support.
Build
Design and develop AI applications, automations and assistants around your workflows — then take them from prototype to production.
Run
Deploy, host, monitor and support production AI systems on managed cloud infrastructure.
- Prototype to Production
- Azure Hosting
- AWS Hosting
- Monitoring
- CI/CD
- Human Support
Popular AI Use Cases
Where AI is already delivering measurable business value
Examples of high-impact workflows we build and support most often.
Sales Qualification
Prioritise leads using historical win/loss data and buying signals.
Proposal & Bid Automation
Generate stronger first drafts from previous submissions and winning content.
Customer Support Assistants
Resolve repetitive enquiries instantly and escalate complex issues with full context.
Internal Knowledge Assistants
Search policies, procedures, project history and documentation in plain English.
Document Processing
Extract, classify and route incoming documents automatically.
Workflow Automation
Reduce repetitive manual tasks across operations and back-office teams.
Anonymised outcomes from real engagements
17hSaved / week
<2%Misroute rate
18+ moIn production
Operations team buried in manual triage
Problem: Five people spending 20+ hours a week sorting and routing service requests by hand.
Solution: An AI triage layer that classifies, routes and flags incoming requests inside the existing CRM.
~55%Faster turnaround
4–5dAvg. bid time
↑Win rate
Bid team losing deals on slow turnaround
Problem: Multi-week RFP response times meant competitors were submitting first.
Solution: A bid platform that surfaces winning content from past submissions to accelerate first-pass drafting.
78%Auto-resolved
<5sResponse time
0New hires
Support team answering the same question hundreds of times a day
Problem: Thousands of repetitive queries each month; hiring more agents was not sustainable.
Solution: A RAG-based AI assistant trained on internal docs that resolves common queries and escalates the rest.
<3 wkTo production
100%Managed infra
24/7Monitoring
From AI prototype to production deployment
Problem: A client built a working AI assistant but had no safe way to host, monitor or secure it.
Solution: Productionised the build on managed Azure with Key Vault, CI/CD, monitoring and ongoing support.
Tell us what's slowing your team down.
We'll spend 30 minutes understanding the workflow, then tell you honestly whether AI is the right answer — and what the smallest useful first step looks like.