For project-based expert-service businesses that know AI matters but aren't sure what needs fixing first. I map how work actually gets delivered, identify the gaps in systems, data, knowledge, and governance, and give leadership a clear view of what has to change before AI can work safely.
For project-based teams ready to go deeper. I design the systems, workflows, data structures, knowledge architecture, and governance that AI depends on, so implementation happens on solid ground, not broken operations.
I answer four questions before you commit to anything: what AI is already being used and where the risks are, what could realistically help, what should stay away from AI, and what needs to be fixed first.
AI relies on the tools, platforms, apps, spreadsheets, reports, and records the business runs on. I run a first sweep of the operating stack: what exists, what each system holds, where records conflict, who owns them, and what must be fixed before AI relies on them.
Your staff are already using AI. Some of it puts client data and confidential material at risk. I build the governance layer: plain-English rules, approved tool list, data-sharing limits, human review requirements, and a named internal owner.
Governance rules exist. Staff behaviour is somewhere else. I build and deliver role-specific AI operating literacy from your own approved tools, data rules, and governance outputs — not generic AI training.
AI tools that search, summarise, draft from, or reuse internal knowledge need a clean corpus. I go deep on one bounded knowledge area and identify what is current, trusted, duplicated, stale, restricted, missing, or unsafe for AI retrieval.
I analyse two to three candidate workflows to find the right one, then redesign it completely: what AI does, what people own, where review happens, what good output looks like, and how exceptions are handled.
A pilot without a plan is just spending money. I take the redesigned workflow and define exactly what tests it properly: scope, participants, data requirements, risk controls, acceptance criteria, and the go/change/stop decision rule.
When the prior seven services show that implementation needs a bespoke project, I define the brief, boundaries, owners, risks, and delivery path before anyone starts building.