Years
Product design and engineering leadership across British Telecom R&D, Amazon Web Services, Oracle Cloud, and secure digital engineering for the Department of War.
We design agent products and build the LLM agents inside them. We work forward-deployed with your teams and customers, inside the systems where the product has to hold up.
Book 30 minutesForward-deployed means working where the product will be used: with your teams and customers, inside the systems and constraints that decide whether it works.
We design agent products and build the LLM agents inside them. Product design, branding systems, deployment, and enablement are part of the same job.
Bring us in when the problem is still unclear or a promising prototype is stuck between functions on its way to production.
Working software, plus the evaluations, controls, documentation, and operating workflows your team needs to run it.
Define the uncertain part. Make it real, useful, and measurable.
Research, interaction design, prototyping, and production engineering happen in the same loop.
We design agent products and build LLM agents. That includes the agent's behavior and tools, how people supervise it, how it is evaluated, and the interface used to operate it.
We make agent behavior inspectable. Traces and scorecards show what happened; controls handle exceptions, risk, and revision.
Make the product legible and solve a real problem.
Positioning and identity start with what the product actually does and how people use it.
We work with marketing, sales, revenue operations, service, and support on product storytelling, workflows, and customer-facing systems.
As the product changes, its claims and content need to change with it. We build the workflows that keep them in sync.
We leave your team with systems they can operate and extend.
We build the delivery, content, and evaluation pipelines behind product, brand, customer-facing work, and LLM operations.
We teach teams how to evaluate LLM output, observe failures, make judgment calls, and write operating rules for daily use.
We document the work and teach your team how to run and change it.
We build learning into delivery.
We work alongside the people doing the job. We prototype in design and code against the real workflow. Human judgment stays visible.
We instrument actual use: outcomes, exceptions, handoffs, and risk.
What we learn changes the model, interface, operating rules, and documentation.
20 years across product design, cloud platforms, and secure digital engineering.
Product design and engineering leadership across British Telecom R&D, Amazon Web Services, Oracle Cloud, and secure digital engineering for the Department of War.
We start with discovery and technical scoping, then stay through design, production engineering, deployment, and hands-on teaching.
95% of Generative-AI pilots fail to produce measurable financial impact.
Bring the agent, workflow, or product that is blocked.
Source: MIT NANDA, The GenAI Divide, preliminary findings, July 2025