AI systems and workflows
Multi-step AI systems built into real operations: document processing, customer operations, back-office work, decision support. The failures cluster at the handoffs between steps, so that’s where we spend our care.
Services
Small first. Then the real work.
Every engagement starts with a short, fixed-scope assessment, because neither of us should commit to a big project on a hunch. What follows is implementation, ongoing advisory, or a handshake and a useful document.
The engagements
Three shapes of work.
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Start here
The assessment
Three to six weeks, fixed scope, fixed price. We take one part of your operation, map where AI genuinely pays off in it, and hand you a written recommendation with the numbers behind it. Sometimes the recommendation is to build. Sometimes it’s to buy. Sometimes it’s to leave it alone. You own the document either way, and there’s no obligation past it.
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The core work
Implementation
We design and build the system: the AI components, the integrations into what you already run, and the handoffs between people and machines. Scoped in phases with a working piece at the end of each, on your infrastructure, documented so your team can run it. An implementation only starts after an assessment has shown it’s worth doing.
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Ongoing
Advisory
A standing arrangement for leadership teams that want a technical partner in the room: reviewing plans, vetting vendor claims, keeping the governance current as the tools change. Monthly, senior-only, and easy to end. Useful when you have your own builders and need judgment more than hands.
What it covers
The ground we work.
Governance and guardrails
Access rules, data boundaries, audit trails, and escalation paths. An AI gets the least access the work needs, like any new hire, and the clearest limit of all is where it’s allowed to send data.
Policy and enablement
Usage policies people actually follow, and training for the teams who’ll live with the tools. Banning AI just pushes it into the dark, onto personal accounts with no rules and no record. A paved road works better than a wall.
Build versus buy
Building is cheap now; owning is the part you have to mean. We help you work out which tools to buy, which to build, and which capabilities your team can honestly maintain, before the invoice decides for you.
The services
What we're hired for, page by page.
Each service has its own page: what the work is, what it costs, and what you get.
- AI consulting The full engagement: assessment, build, advisory.
- Enterprise AI consulting For larger organizations with procurement and review in the way.
- AI strategy consulting Where AI fits, what to build first, what to skip.
- AI governance consulting Policies, access rules, and frameworks that hold up.
- AI risk assessment A fixed-scope read on where your AI use can hurt you.
- AI readiness assessment Where you actually stand before you spend.
- AI implementation Build AI into production on your own infrastructure.
- AI integration Wire AI into the CRM, ERP, and systems you already run.
- Generative AI consulting From pilot to production, and when not to build it.
- AI agent consulting Which workflows deserve an agent, built and governed.
- AI automation Back-office work, done by systems your team owns.
- Intelligent automation From an ageing RPA estate to AI agents.
- AI compliance consulting Which rules apply, and what to do about them.
- NIST AI RMF implementation Turn the framework into a program your teams run.
- ISO 42001 readiness Find and close the gap before an accredited audit.
- Fractional chief AI officer Senior AI leadership without the full-time hire.
By industry and segment:
- AI consulting for financial services
- AI consulting for private equity
- Healthcare AI consulting
- AI automation for financial services
- AI in insurance
- AI in manufacturing
- AI use cases in banking
- AI use cases in finance
- AI for accounting firms
Guides and reference, free and ungated:
- AI readiness assessment tool (free)
- AI consulting rates
- AI readiness checklist
- How to assess AI readiness
- AI maturity model
- AI implementation roadmap
- AI use-case matrix
- AI and robotic process automation
- AI agents for customer service
- Automation opportunity assessment
- AI governance framework
- AI governance committee
- AI acceptable use policy (template)
- AI risk assessment template
- NIST AI RMF explained
- AI compliance framework crosswalk
- ISO 42001 certification
What we won't do
The short list of nos.
We won't take a project we don't believe in, staff it with people you haven't met, or build something only we can maintain. We don't resell software or take vendor commissions, so when we recommend a tool, that's the whole story. And if the honest answer is that AI won't help, that's the answer you'll get, in the first meeting if we can manage it.
Start with the assessment.
Tell us which part of the operation you're looking at. We'll tell you what an assessment of it would cover, what it costs, and how long it takes.