Services
AI services built around practical outcomes
Whether you're still deciding where AI fits or ready to build, these are the three areas I work in. Each one starts with understanding your problem before recommending a solution.
01
AI Solution Consulting & Architecture
Structured technical discovery for AI initiatives - from first conversations about the business problem through to a documented solution approach, architecture, and implementation roadmap your team (or a delivery partner) can act on.
Problems addressed
- AI ideas with no clear path to a working solution
- Uncertainty about feasibility, cost, and complexity
- Difficulty choosing between build, buy, and integrate options
- Requirements that are too vague to estimate or contract
- Concerns about data handling, reliability, and operational risk
Typical deliverables
- AI opportunity assessment
- Requirements and scope document
- Solution architecture and technology options
- MVP scope and phased implementation roadmap
- Effort, cost, and complexity estimates
- Risk and limitations assessment
A good fit for
- Founders validating an AI-enabled product
- Businesses planning their first AI initiative
- SaaS teams scoping a new AI feature
- Agencies needing pre-sales discovery or architecture support
02
AI Agents & Workflow Automation
Evaluating and implementing workflows where software - and, where it genuinely helps, AI - can take on repetitive steps. This includes business assistants, document processing, CRM and system automation, and internal knowledge assistants.
Not every workflow needs an AI agent. Many problems are better solved with straightforward, deterministic automation. I'll recommend AI only where it adds real value, and design human-in-the-loop review where decisions carry risk.
Problems addressed
- Staff time spent on repetitive data entry and copy-paste work
- Customer or internal inquiries that follow predictable patterns
- Documents and emails that need to be read, classified, or extracted
- Business systems that don't talk to each other
- Team knowledge that is hard to find when it's needed
Typical deliverables
- Workflow analysis and automation opportunities
- Workflow design with clear human review points
- Working automation or AI-assisted workflow
- Integration with existing tools and systems
- Documentation and handover
A good fit for
- Small and mid-sized businesses with manual operational workflows
- Operations, support, and sales teams
- SaaS companies automating internal processes
03
AI Integration & AI-Enabled Applications
Designing and building AI capabilities into web, mobile, and backend software. Typical work includes large language model (LLM) API integrations, retrieval-augmented generation (RAG) over your own content, AI-assisted search, intelligent data extraction, and AI-enabled product features.
Problems addressed
- Product roadmaps that call for AI features without a clear technical approach
- Users who struggle to find information in large content sets
- Valuable data trapped in PDFs, emails, and unstructured text
- Prototypes that work in a demo but not in production
- Uncertainty about model choice, cost, and data privacy
Typical deliverables
- Technical design for the AI capability
- Integration into your existing application or backend
- Prompting, retrieval, and evaluation approach
- Guardrails, fallbacks, and error handling
- Documentation for your engineering team
A good fit for
- SaaS companies adding AI to their product
- Startups building AI-enabled MVPs
- Businesses with existing web or mobile applications
- Agencies that need specialist AI implementation support
Engagement process
How a typical engagement runs
- 01
Discover
Understand the business problem, workflow, constraints, and desired outcomes.
- 02
Design
Evaluate solution options, technical feasibility, architecture, costs, and risks.
- 03
Implement
Develop or coordinate implementation through an appropriately agreed delivery arrangement.
- 04
Improve
Evaluate results, identify limitations, and refine the solution where ongoing support is contracted.
Discovery engagement
A fixed-scope assessment that ends with a clear recommendation, architecture, and roadmap. A good starting point for most projects.
Implementation project
Building an agreed scope, either directly or with appropriately engaged delivery partners, depending on what the project needs.
Advisory support
Ongoing technical guidance for your team or agency - architecture reviews, estimation support, and decision-making help.
Not sure which service fits?
That's normal. Describe the problem you're trying to solve and we can work out the right starting point together.