Data readiness
We review the quality, structure, accessibility and ownership of the data AI would depend on.
AI works best when it’s built on solid ground.
Before recommending anything, we help you understand whether your data, systems, people and processes are actually ready, so the roadmap that follows is realistic rather than aspirational.
Where we typically find AI opportunity
Internal knowledge
Customer support
Document processing
Sales operations
Research
Reporting
Compliance
Product features
Workflow automation
AI agents
Intelligent search
Decision support
We review the quality, structure, accessibility and ownership of the data AI would depend on.
We assess the systems, APIs, infrastructure and architecture needed to support AI.
We identify which workflows are suitable for AI and where automation could create unnecessary risk.
We review access controls, sensitive data, authentication and potential AI-specific risks.
We assess whether there are clear rules around AI use, accountability, approvals and monitoring.
We look at internal skills, ownership and the level of support needed to operate AI successfully.
01. Phase 1: Foundations
Prepare data, integrations, permissions and governance.
02. Phase 2: Low-risk use cases
Introduce AI where it can support users without making critical autonomous decisions.
03. Phase 3: Integrated workflows
Connect AI into existing systems and processes.
04. Phase 4: Agentic systems
Introduce controlled agents where the organisation is ready for greater autonomy.
05. Phase 5: Scale and optimise
Expand successful use cases, improve evaluation and reduce operational cost.
Who this is for
Businesses beginning their AI journey
Leadership teams with multiple AI ideas
Organisations with disconnected AI experiments
Companies preparing an AI transformation programme
Businesses considering AI agents
Enterprises with sensitive data or regulated workflows
Product companies planning to introduce AI
Teams that need alignment before investing further
We know what it takes to turn an AI idea into a working production system.
We focus on opportunities that can create measurable value.
Recommendations are based on your requirements rather than one preferred platform.
The same team can continue from strategy into prototypes, integrations and production development.
We help businesses work out where AI can create real value, what should be built and how to move from experimentation into production without wasting time or budget.
We design and build AI systems that move beyond demos. From AI agents and RAG platforms to generative AI applications and enterprise integrations, WeUno helps businesses turn AI into reliable, usable products.
Add AI to the tools and workflows you already use. WeUno connects AI models, agents and automation into existing software so businesses can improve efficiency without rebuilding everything from scratch.
As AI becomes embedded into business-critical workflows, control matters as much as capability. WeUno helps organisations design AI systems with clear rules around access, data, decisions, monitoring and human oversight.
We build AI agents that can do more than answer questions. WeUno designs agentic systems that can reason across tasks, use tools, retrieve trusted information and take controlled actions across business systems.