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.
You’ve built something with AI. We help turn it into something your business can actually rely on — integrated, secure, deployed and supported for organisations across the United Kingdom.
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
Don’t start with AI. Start with the problem.
The right AI project starts with a business problem worth solving — not a technology looking for somewhere to be used. We help organisations identify where AI could genuinely make a difference, understand what’s required to deliver it, and decide what to do next.
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
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.
Real AI engagements. Measurable outcomes.
Based on real client engagements. Client identities withheld for confidentiality.
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.
Outcome
17hSaved / week
<2%Misroute rate
18+ moIn production
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.
Outcome
~55%Faster turnaround
4–5dAvg. bid time
↑Win rate
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.
Outcome
78%Auto-resolved
<5sResponse time
0New hires
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.
Outcome
<3 wkTo production
100%Managed infra
24/7Monitoring
BUILDPrototype & Develop
DEPLOYDeploy to Cloud
SUPPORTMonitor & Support
Built by experienced technology practitioners
View Vikram on LinkedIn
Vikram Katyani — Founder, IntelliMinds Digital
20+ years building enterprise software, SaaS platforms and learning technology. Today, Vikram focuses on helping organisations turn promising AI ideas into production systems.
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.