Services built to actually ship.
Every engagement starts with a bounded audit and ends with something your team owns. Here is the work, from the first low-risk step through full builds and ongoing support.
The AI Opportunity Audit
A fixed-scope assessment of where AI genuinely earns its place in your operation. I look at your workflows, your documents and your team, and I come back with a ranked, honest list of where to start, where to wait and where AI is the wrong tool.
A written findings report, a recommended first project with a rough scope and price and a clear read on risk. Yours to keep whether or not we build together.
It is the lowest-risk way to work with me and the industry's own recommended first move. You spend a little to know a lot before committing to a build.
The work itself, problem first.
Workflow and document automation
Your team spends hours on repetitive, paperwork-heavy work. Pulling requirements out of documents, moving data between systems, routing approvals, turning meeting notes into actions.
A reliable automated workflow that reads your documents, extracts what matters and puts it where it needs to go, with checks on the parts that have to be right.
Hours of manual work collapse into minutes, and the error-prone steps get a safety net. One shape of this: extracting every requirement from a long solicitation and building the compliance matrix automatically instead of a person doing it by hand over two days.
The messy, checkable parts and the governance around them. Anyone can wire up the happy path. I build the version that handles the exceptions and proves its own accuracy.
Grounded knowledge assistants
Your team's knowledge is scattered across SOPs, policies, past work and a few veterans' heads. New people cannot find answers and keep interrupting senior staff.
An assistant that answers questions from your real, cleaned documents, cites where the answer came from, respects who is allowed to see what and says “I do not know, ask a person” instead of inventing an answer.
Faster answers, less tribal knowledge risk and senior people freed from repetitive questions. The honest part most vendors skip: the real work is cleaning and reconciling the source documents, which is exactly what I do.
Freshness, permissions and refusal behavior. The hard, unglamorous parts nobody wants to own are the parts that make it safe to actually deploy.
AI governance and guardrails
You are adopting AI and you do not have a policy, a review process or confidence that sensitive data is handled right. Regulation is tightening and the exposure is real.
A usage policy your team will actually follow, human-in-the-loop checkpoints on anything sensitive, a PII handling review and guardrails designed in before deployment rather than audited after.
You can adopt AI without betting the company on it. Pre-deployment guardrails are now a baseline expectation, not a nice-to-have.
This is the most defensible lane and demand is climbing fast as compliance moves from theory to deadline. For anything that needs formal legal sign-off, I bring in a named specialist rather than pretending to be one.
Agentic workflows, scoped carefully
You are hearing that AI agents can run whole processes and you want to know where that is real and where it is risky.
One bounded agent task first, with human approval on anything consequential, proven on real cases before its reach widens.
You get the upside of automation without handing a black box the keys. Start small, prove value, then expand.
Discipline. The market is full of over-promised agents. My version earns each new permission.
Start bounded. Grow into a partnership.
Project
A fixed-scope build with a clear deliverable and a fixed price. The standard way to start.
Retainer
Ongoing support once you have systems running and want them maintained, improved and extended.
Fractional AI lead
Senior AI ownership on an ongoing basis for companies that need the accountability of a head of AI without a full-time hire.
The fractional lead is named as the growth path and offered when the fit is right.
