Services for AI & B2B SaaS teams

Turn AI capability into reliable, useful work.

I shape products, design agent workflows and build the systems that keep quality consistent. We start with the outcome your business needs, decide where people stay in control and agree how to assess the result.

Start with
the problem.

The work can begin with an existing product, an agent workflow or a system your team relies on. Each engagement has a defined scope, a usable result and a way to assess it.

Agent workflows & evaluation

Your agents complete tasks. The results still need too much checking.

I design how people, agents and tools work together, starting with a task that matters to the business. We define a useful result, decide where human judgment is needed and test where the workflow breaks.

  • Workflow and business-value assessment
  • Agent roles, shared context and tool integration
  • Acceptance criteria, independent evaluation and failure analysis
What you leave with
A workflow for the agreed task, clear ownership and a set of evaluations. Together, we assess task completion, review effort and whether people can use the result.
My own practice: AI team operating system

AI product design & prototyping

You have an AI capability. The product around it is still taking shape.

I connect capabilities, user needs and workflows into a product people can understand. Agent experience design covers what people delegate, how they follow progress and how they review or correct a result.

  • Product discovery, opportunity assessment and information architecture
  • Agent experience design and audits
  • Working prototypes and scoped AI pilots
What you leave with
A product model, core journeys and a working prototype or pilot. We agree what it needs to prove and which decisions the results will inform.
Related product: Parlour

Product concept, working prototypes and a shipped app, built with AI-assisted workflows.

Agent-ready design systems

AI-generated interfaces keep drifting from your product’s rules.

I adapt component rules and documentation so agents can find and apply the right patterns. The work connects your existing design system to the way your team builds and reviews interfaces.

  • Design-system and agent-readiness audits
  • AI-generated UI audits and automated design QA
  • System migration, component guidance and ongoing governance
What you leave with
An agreed part of the system prepared for agent use, examples to test it against and checks for recurring UI errors. Your team has a clear way to update the rules.

Related work: AIUS. Product interface standards, working prototypes and implementation guidance for engineering.

UX audits & modernization

Your product has grown. It is harder to use, and harder to change.

I review the tasks people need to complete and trace friction back to the product’s structure. Findings become priorities, then concrete changes to workflows, navigation and interface patterns.

  • UX audits, heuristic reviews and usability evaluation
  • Information architecture and complex workflow redesign
  • Legacy modernization, with AI-assisted prototyping where useful
What you leave with
Findings with evidence and priorities. A follow-on project can turn them into a redesigned workflow, a testable interface and a staged implementation plan.
Audit approach: Product cost platform

Accessibility

People encounter barriers in your workflows or shared components.

I review agreed journeys and components for accessibility issues, then work through the fixes with your team. We define the checks at the start, including the manual testing needed for the scope.

  • Scoped accessibility reviews and audits
  • Keyboard, focus, contrast and semantic structure
  • Component remediation, retesting and ongoing review
What you leave with
Reproducible findings, prioritised fixes and a record of what was retested. Component guidance helps the team carry those changes into future work.

My enterprise table specifications at Volvo included keyboard navigation, screen-reader support and contrast requirements.

Team enablement & leadership

Your team needs shared standards and someone to work through the decisions.

I establish practical ways to plan, review and deliver work across product, design and engineering. Training uses the team’s own tasks. Regular involvement keeps the standards connected to daily decisions.

  • Team operating models, ownership and rollout responsibilities
  • AI workflow training, coaching and design reviews
  • Fractional product direction and design engineering guidance
What you leave with
Working agreements, reusable standards and hands-on practice. For ongoing work, we define the decisions I own and how the team will maintain the approach.
How my leadership experience shapes the work

Ways to work together

What needs to work better?

Tell me what you have today, where you get stuck and what a useful result would look like.