Connect the opportunity to a workflow, a person and a measurable business outcome.
I help businesses decide where AI belongs, build useful applications and bring them into everyday work. Revenue, efficiency and better decisions are the starting points. The technology follows the job it needs to do.
I bring experience as a business operator and technology leader to the practical work of AI adoption. Ascendancy IQ is my working laboratory for agents, shared knowledge and coordinated digital employees.
A system I am building around real work: human direction, specialist agents, shared memory and connected tools. It is a working laboratory evolving towards a controlled beta, and a place to learn what reliable delegation requires.
Step inside the labI have documented my work on persistent context across agent runtimes. Decisions and project knowledge need to survive between sessions if agents are to become useful participants in a longer piece of work.
Read the build storyResearch, analysis, briefing packs and first drafts are part of my own AI-assisted workflow. Human judgement remains responsible for the interpretation, recommendations and decisions that reach a client.
Read the field notesUseful AI opportunities usually live in the work already happening: the slow handover, repetitive task, missed signal or idea that costs too much to test.
The aim is something your team can use, evaluate and own. I work through the strategy, implementation and adoption together.
Map the workflow and its current cost, delays or missed opportunities. Agree a useful baseline and success criteria.
Connect the required tools and knowledge. Establish access, review points and clear limits on automated actions.
Check output quality, effort, exceptions and cost with the people who will use the system.
Document ownership, train the team and establish monitoring, maintenance and a route for improvement.
Start with the decision you need to make, or the workflow you are ready to change.
Identify worthwhile use cases, assess the constraints and agree a practical implementation roadmap.
Let's talkBuild and evaluate a defined use case across your knowledge, tools and business processes.
Let's talkHelp teams use the system effectively, refine the workflow and keep responsibility clear.
Let's talkThe exciting part is what people can do with the time and capacity they gain. I design around a clear owner, useful review points and a workflow that fits the organisation. Some tasks can be automated; others should remain a human decision.
Explore the thinking behind AIQWhat I am building, what I am learning and the questions worth spending time on.
Every new session starts cold. Every task needs the same briefing again. Every decision risks contradicting the last one because the system has no persistent memory of what happened yesterday.
Read the article
Not literally. But you know the feeling. You’ve got 12 AI tools you’re paying for, a Notion dashboard that’s somehow both empty and overwhelming, and a Claude Code setup that’s been “optimised” so thoroughly it can barely…
Read the articleYes. I can help select and prioritise opportunities, then work through the design, build, evaluation and adoption of a defined use case. Scope and responsibilities are agreed before implementation.
These are useful areas to explore, particularly research, planning, production and review workflows. We would identify a specific task, keep brand and editorial judgement in the process, and measure the result.
Not necessarily. The first step is to understand your current tools, data and workflows. Integration or a smaller process change may be more useful than replacing a system.
It is my working laboratory, evolving towards a controlled beta. The lab provides practical experience and examples; a client engagement is scoped to your business needs.
Bring a workflow, a bottleneck or an idea. We can work out where AI might make a useful difference.
Let's talk
