Clear investment priorities
Compare AI opportunities through expected return, delivery cost, data readiness and operational complexity. A defined business case guides the decision to proceed.
AI services
AI built around your daily work.
Agentic AI is AI that completes tasks across your tools, with your team in control. We help you plan, build and measure it around the work your business needs.
Discuss your project- ROI
- A defined business case
- Results
- Measured against a baseline
- Control
- Clear operating boundaries
Start with the work
Choose a task worth improving.
Start with work that is slow, repetitive or hard to keep track of. We will help you decide whether AI is useful and what it would take to build.
Discuss your business case- The work
- What happens today, who owns it and where the process slows down.
- The operating context
- The systems, data and approvals the workflow depends on.
- The return
- The result to improve and how it will be measured against cost.
What You Get
How AI can help your team
Useful operating capacity
Give AI agents responsibility for defined work: capture context, coordinate approved tools, track progress and hand exceptions to the right person.
Accessible business knowledge
Connect approved documents and systems to search, retrieval and document workflows. Make sources, permissions and information quality visible.
Faster, better-informed decisions
Bring shared metrics, forecasts and relevant evidence into the decisions teams make. Assign an owner and a next step to actionable findings.
Accountable AI operations
Define what AI can access and change, where approval is required and how failures are reviewed. Monitor control performance alongside business results.
Fit for your industry
Design around the actual request, transaction or handoff. Industry context shapes the scope, integrations, review requirements and measures of success.
What we build
Choose the work you want AI to support.
Selected capability
AI Strategy & Business Case
Define the workflow, assess the return and sequence delivery around a measurable business objective.
Key Capabilities
- Performance baseline
- ROI assessment
- Integration readiness
- Delivery scope
- Business ownership
In your industry
See how AI could fit your industry.
AI for Travel & Hospitality
- Enquiry qualification and timely follow-up
- Itinerary and quotation preparation for review
- Booking coordination using verified availability
- Guest requests and service handoff
- Approved customer information across channels
- Response, quote turnaround and conversion measurement
Our Process
From the first conversation to everyday use
- 01
Define the business case
Establish the current workflow, its cost and the result to improve. Agree on a baseline, expected return, accountable owner and acceptance criteria.
- 02
Design the operating model
Map systems, data access, permitted actions and human review. Specify the evaluation approach, recovery behavior and operating requirements.
- 03
Build and validate
Engineer the workflow in focused releases. Test representative tasks, access boundaries and failure scenarios with the people who will use it.
- 04
Operate and improve
Introduce the system with monitoring and user guidance. Review quality, adoption, running cost and business results before expanding the scope.
Why RDMI
How we keep the work clear
Business outcomes guide the work
Every engagement begins with a defined business problem, a realistic scope and a way to assess the return. Those measures guide architecture and delivery decisions.
Strategy connected to engineering
We carry requirements through workflow design, application development and system integration, so the business case remains visible throughout implementation.
Operational detail matters
We consider incomplete information, failed requests, permission boundaries and user handoff as part of delivery. A useful system must be manageable after launch.
Clear ownership and review
Business owners define the important decisions and approval boundaries. Evaluation and operating evidence make it easier to understand what the system is doing.
Technology
The tools we work with
LLM Providers
- OpenAI
- Anthropic / Claude
- Google Gemini
- Meta Llama
- Mistral AI
- Cohere
AI Frameworks
- LangChain
- LlamaIndex
- CrewAI
- AutoGen
- Hugging Face
- TensorFlow / PyTorch
Vector Databases
- Pinecone
- Weaviate
- Qdrant
- ChromaDB
- Milvus
- pgvector
Cloud & Infrastructure
- AWS
- Google Cloud
- Azure
- Vercel
- Docker / Kubernetes
- Terraform
Development
- Python
- TypeScript
- Next.js
- FastAPI
- Node.js
- React Native
FAQ
Questions about working with AI
Where should we start with Agentic AI?
Choose a recurring workflow with clear ownership, available data and measurable friction. Establish its current cost, turnaround and quality, then assess whether AI can make a worthwhile difference within the required operating controls.
How do you establish ROI?
We agree on a baseline and the business metric to improve, then consider expected benefit alongside implementation, integration, ongoing operation and review costs. After release, actual results are assessed against that baseline. Forecast returns are treated as estimates, with assumptions made explicit.
What industries do you focus on?
Our focus is on workflows with recurring coordination work across travel, healthcare administration, logistics, property operations, field services and other service-intensive businesses. Scope and suitability depend on the process, data access and required review.
Can AI transformation work with our existing systems?
We assess your existing systems, interfaces and access requirements before designing the workflow. Where suitable APIs and permissions are available, agents can work with your CRM, booking, support and operational tools. Integration limitations are identified during scoping.
Which decisions stay with our team?
Your business owners define permitted actions and approval boundaries. Consequential commitments, sensitive exceptions and professional judgments can require review. We design the escalation path and evaluate it before deployment.
Do you only advise, or do you also build?
We support strategy, workflow design, engineering, integration and ongoing improvement. The engagement scope defines deliverables, acceptance criteria, ownership and the operating support required after launch.
A practical next step
Bring us the task you want to improve.
Tell us how the work happens today and what a better result would look like.