From strategy to implementation. And everything between.
Most AI consultancies stop at the strategy deck. We don't think that's a consultancy — it's a report. We stay until the system is working and your team knows how to run it.
AI Strategy & Readiness
4-8 weeksBefore spending anything on AI tooling, you need to know where you stand. We review your current operations, data infrastructure, and team capabilities. The output isn't a generic report — it's a practical roadmap tailored to your business, your budget, and your actual starting position.
What this looks like in practice
A professional services firm suspects they're spending too much time on document review and client reporting. We spend four weeks with their team, map every process, assess their data quality, and deliver a prioritised roadmap. Three of the eight opportunities involve AI. Two are better solved with straightforward automation. Three aren't worth pursuing at all.
What you get
- Operational review
- Practical AI opportunity assessment
- Prioritised recommendations
- Implementation roadmap
- Clear next steps with realistic costs
Implementation & Integration
8-16 weeksThis is where most consultancies hand you a report and walk away. We stay. We work with your team to build production-grade AI solutions that integrate with your existing systems — your CRM, your ERP, your internal tools. Every implementation includes testing, validation, and proper documentation so the solution actually gets used.
What this looks like in practice
A manufacturing company needs to reduce quality control inspection time. We work with their engineering team to integrate a computer vision system with their existing production line monitoring, train it on their specific defect patterns, and embed it into their operators' daily workflow. The system goes live in twelve weeks, not twelve months.
What you get
- Solution design
- Integration with existing systems
- Workflow automation
- Hands-on build alongside your team
- Documentation & handover
Process Automation
4-12 weeksNot every efficiency problem needs artificial intelligence. Sometimes the answer is smart automation — rules-based workflows, API integrations, and process redesign. We'll always recommend the simplest effective solution, whether that involves AI or not. The goal is results, not impressive technology.
What this looks like in practice
A financial services firm's compliance team spends 15 hours per week manually cross-referencing client data across three systems. We build an automated pipeline that does the same work in minutes, flags exceptions for human review, and maintains a full audit trail. No AI required — just well-designed automation.
What you get
- Process mapping
- Automation design
- Implementation
- Performance monitoring
- Continuous improvement
LLM Integration & Custom AI
6-16 weeksLarge language models are genuinely powerful, but they need careful architecture to be useful in a business context. We handle model selection, prompt engineering, retrieval-augmented generation (RAG), and data security — deploying LLMs in ways that are practical, secure, and compliant with your industry regulations.
What this looks like in practice
A property management company wants to give their agents instant access to information spread across thousands of tenancy agreements, maintenance records, and compliance documents. We build a RAG-powered knowledge base with role-based access, source citations, and integration with their existing property management software.
What you get
- LLM selection & evaluation
- Prompt engineering
- RAG architecture
- Fine-tuning
- Data security & compliance
Not sure which service you need?
That's completely normal. Most engagements start with a conversation, not a purchase order. Tell us what you're trying to achieve and we'll tell you honestly what's involved.