Services
Services
Each service below is scoped to a clear outcome and ends with deliverables you own. Most engagements combine two or three; the first conversation is about which.
AI Strategy & Viability
A short, focused look at where AI could genuinely help you or your business, which of those ideas your data and systems can actually support, and what it would cost to find out for certain.
Good fit when You know AI should be doing something for you but not what, or you have a specific idea and want an honest answer before spending on it.
You walk away with
- Opportunity map ranked by value, feasibility, and data readiness
- Written viability verdict for the top candidates, including the ones to drop
- Audit of your data and systems: what exists, what is accessible, what is missing
- Scoped, costed plan for the first build phase
AI Automation
Automations that take repetitive, judgement-heavy work off your plate: inbox triage, document processing, data entry and enrichment, reporting, customer replies — with a human kept in the loop wherever it matters.
Good fit when A process is eating your hours because each case needs a little judgement, and simple rules or off-the-shelf tools have not solved it.
You walk away with
- End-to-end automation that runs reliably, retries safely, and tells you when it needs a human
- Confidence-based routing so uncertain cases reach you instead of being guessed
- Audit trail and undo for every automated action
- Plain-language runbook so you can operate it yourself
Custom AI Tools & Apps
Bespoke tools, dashboards, and internal apps built with AI-assisted engineering — the software you always wanted but could never justify at agency prices, delivered in weeks and built to last.
Good fit when You have been quoted a number for custom software that made you close the browser, or you are stitching spreadsheets and SaaS together and it is breaking.
You walk away with
- Working application in your own accounts and repositories
- Proper authentication, input validation, and abuse protection from day one
- Automated tests and documentation so anyone can maintain it
- Hosting and deployment set up, or handed to your existing infrastructure
AI Product Engineering
Design and build of AI features inside your product: assistants, search over your own data, agents that use your tools, structured extraction — with the evaluation harnesses that keep them honest as they change.
Good fit when You have a validated use case for AI inside a product and need it built properly — reliable, observable, and cheap enough to run at real volume.
You walk away with
- Production service with retrieval, orchestration, and tool use as required
- Evaluation suite with test datasets, regression gates, and cost/latency budgets
- Observability: tracing, prompt versioning, and failure-mode dashboards
- Architecture decision records explaining every non-obvious choice
AI Security & Hardening
Treat your AI surface as the untrusted input it is. We harden prompt injection paths, data boundaries, abuse and cost controls, and the conventional security around them — for systems we built and systems we did not.
Good fit when You are about to expose an AI feature to real users, or already have and something about it keeps you awake.
You walk away with
- Threat model covering prompt injection, data leakage, tool misuse, and abuse
- Hardened request path: authentication, request signing, replay protection, rate and spend limits
- Output validation, content boundaries, and safe failure behaviour
- Security review report with prioritised fixes, applied or handed over
Training & Fractional AI Lead
Hands-on upskilling for you or your team, or an ongoing part-time seat as your AI lead: setting direction, reviewing work, and being the person you can put hard questions to.
Good fit when You want to become capable with AI rather than dependent on outside help, or you need senior AI leadership now and a full-time hire is premature.
You walk away with
- Working sessions built around your actual work and tools, not toy examples
- Internal playbook: how to use, evaluate, secure, and maintain AI systems
- Ongoing direction, design and code review, and vendor decisions with written rationale
- Hiring support when you are ready for a full-time lead
Not sure which of these you need?
That is the normal starting point. Describe the problem and we will tell you which two or three apply — or whether none do.