AI Consultancy
Practical AI consultancy for startups and growing businesses
AI can automate work, improve decision-making and create entirely new products — but successful implementation starts with understanding the problem rather than choosing a model.
MakOps helps businesses identify worthwhile AI opportunities and turn them into practical, secure solutions.
Discovery
AI Discovery & Strategy
Discovery starts with how the business actually works today, and what it would be worth changing.
- Current processes
- Repetitive and manual work
- Information bottlenecks
- Existing data
- Customer interactions
- Potential AI use cases
- Feasibility, risk and cost
- Expected value
Potential deliverables
- Opportunity map
- Prioritised use cases
- Architecture options
- Prototype recommendations
- Implementation roadmap
AI Applications
AI that works with your business, not alongside it
- LLM integration
- Retrieval-Augmented Generation (RAG)
- Knowledge ingestion and retrieval
- Tool/API calling
- Business system integration
- Document and natural-language workflows
- AI assistants
- Model and prompt configuration
Agentic AI & Automation
From answering questions to taking controlled action
More autonomous behaviour may be appropriate when the risks and the controls justify it.
- AI advises
- AI recommends
- AI proposes
- Human approves
- System executes
Each step up should be a deliberate decision. Consider:
- Permissions
- Confidence
- Deterministic validation
- Human approval
- Logging
- Reversibility
- Error handling
AI Engineering for Development Teams
Use AI to improve how software gets built
MakOps can help engineering teams adopt AI across discovery, requirements, architecture, coding, testing, code review, documentation and technical research.
This is structured AI-assisted engineering, rather than simply buying developers coding assistants.
- Discovery
- Requirements
- Architecture
- Coding
- Testing
- Code review
- Documentation
- Technical research
Have an AI opportunity or technology challenge?
Whether you’re exploring where AI could help, planning a new product or dealing with a difficult technical problem, an initial conversation is often the easiest place to start.