AI CONSULTING / AUTOMATION & CONNECTED OPERATIONS
I help teams connect business needs to practical automation and AI systems. Define the task, connect the right data and tools, then test whether a workflow or supervised assistant can do it reliably.
UK-based. Working with UK and US businesses, and internationally.
BUSINESS NEED / ENGINEERING SCOPE
The opportunity may be a repeated approval, a service-desk handoff or time spent searching internal knowledge. I start by understanding that work and its constraints. Fixed business rules suit deterministic automation; language and retrieval tasks may benefit from AI when the sources, permissions and evaluation are clear.
01
Map the process, authoritative data, decisions and manual handoffs. Connect workflows, APIs and internal tools, giving exceptions a named owner and a recovery route. Choose the implementation around the work it must perform.
02
Scope assistants around approved documentation and defined users. Design permission-aware retrieval, source references and document freshness, then test whether answers are grounded in the material the user is entitled to see.
03
Define the tools an assistant may call, the information each tool exposes and the actions requiring human approval. Keep credentials and consequential actions under server control, with an audit record and clear failure handling.
04
Agree representative tasks and measure answer quality, failure modes, latency and cost. Test uncertain answers, missing context and disallowed actions. Use the results to decide whether to expand, revise or stop the pilot.
ILLUSTRATIVE PROCESS
An illustrative assistant retrieves an approved procedure and links the source. It can prepare a suggested action for an operator to review. Any integration that changes a system has separately defined permissions and approval requirements; retrieval alone does not authorise a write.
A defined task
Approved knowledge
A grounded answer or proposal
Human review and recorded action
DESIGN / BUILD / HANDOVER
Commission a design, a defined implementation or both. We agree the scope and acceptance criteria before delivery.
How design and delivery workEXPERIENCE BEHIND THE WORK
My prior in-house delivery includes internal AI assistance. Halation’s separate HAL research currently demonstrates local voice and session handling; operational context, tools, writes, memory and production reliability remain unverified. Engagements begin with a scoped evaluation of the proposed capability.
From my prior in-house and contract delivery. These figures are not presented as Halation client totals.
Read the prior internal AI exampleSCOPING THE ENGAGEMENT
I work remotely with teams in the United Kingdom, United States and internationally. We agree time-zone overlap, workshops, access arrangements and change windows before work starts. You work directly with the architect building your system.
When the inputs and rules are known, a workflow or integration is often the useful first step. AI becomes a candidate when the task involves language, retrieval or interpretation. We can combine them, with fixed rules controlling permissions and consequential actions.
That can be a design goal for a scoped pilot. Each tool, permission, approval and recovery path must be defined and tested for your environment. A working chat or voice interface is only one part of that system, and does not establish that operational actions are ready.
We agree a set of representative tasks and acceptance criteria before implementation. Evaluation includes correct answers, source quality, access restrictions, refusals when evidence is missing, cost and response time. The results determine what is ready and what needs further work.
CONNECTED SERVICES
CONNECT THE BUSINESS TO THE BUILD
Tell me about your current systems, the outcome you need and the constraints. A short outline is enough to start.
