Solving complex problems of consequence
AinsworthLloyd is an operations and technology consulting firm that specializes in the science of how work gets done. We partner with our clients to streamline their business processes and install organizational structures that enable a high-performance culture and improved employee engagement.
Simply put, we operationalize your strategic initiatives and make your organization hum!
AI agents
Two kinds of agent, each with one job. QA agents test your software: give them the address of your staging site and they start. Coding agents fix what they find and build what comes next, and AinsworthLloyd engineers approve every change.
Products
Fixed scope products for teams shipping software with AI coding agents, and for small businesses that need their IT looked after. Delivered by the engineers who do our client work.
Expert review for software built with AI coding agents
A senior engineer reads the code your AI coding agent wrote and tells you what will fail first: security, data handling, architecture and the bugs that pass a demo. A written report, ranked by severity, with a fix for every finding.
Take your app out of the AI builder, and own it
Your code, data and deployment moved out of the AI app builder and into an environment you own: a repository in your name, a setup that runs on any laptop, your own database, and a pipeline that ships to your hosting.
Managed IT support for small businesses
One place your team goes when something stops working. Accounts, email, laptops, Wi-Fi, printers, backups and security, looked after for a fixed monthly fee.
Services
Consulting for organizations that need their work to flow, their projects to land, and leaders ready for what comes next.
Lean principles put to work where the work happens, not on a slide: we map how value actually flows, remove the waste in it, and leave your teams running the improvement themselves.
Every engagement starts on the floor with the people doing the work, and ends with measures your own teams own and keep improving.
Projects run in short, visible cycles: a working result every few weeks, priorities set by the people who own the outcome, and risks raised while there is still time to act on them.
We run the delivery with you, or coach your project managers to run it, and fit the method to the work rather than the other way round.
Leaders developed through the work they are already doing: coaching, practical programmes and support through change, so new habits show up in decisions rather than in a binder.
Programmes are built around your organization's real challenges, with progress measured in how teams are led, not in hours of training.
An organization shaped around the work it has to do: clear roles, decisions made by the people closest to the work, and a structure that serves your strategy rather than the last reorganization.
We design with the leaders and teams who will work in the new structure, and plan the move to it as carefully as the design itself.
The right number of people, with the right skills, in the right roles: staffing built from the work your organization has to deliver, so headcount, budget and hiring can be planned with confidence.
Every model is grounded in measured demand and workload, and shows leaders what each staffing decision costs before they make it.
A hands-on Lean Operational Excellence Assessment that finds the waste and inefficiency in how your organization runs, and turns it into a prioritized plan for measurable results.
Eliminate waste. Optimize processes. Improve performance.
Organizations our team has delivered into, directly or through partners. Client names and engagement outcomes are shared under NDA rather than published.
Position
AinsworthLloyd combines applied AI research, software architecture, product design and process automation into systems that carry real operational load.
The ones that route the claim, price the risk, schedule the fleet, read the document and answer the citizen. Built to be inspected, tested and handed over.
AI systems
We build AI that sits inside an operational process and is accountable for an outcome. Every system ships with an evaluation set, a fallback path and a plain statement of what it cannot do.
Multi-step agents with real tool access, bounded scope and an approval gate on anything that leaves the building.
Detection, classification and document understanding on images, video and scanned records.
Drafting, summarisation and synthesis, grounded in your sources and cited back to them.
Models placed inside a workflow where they beat a rule, and rules kept where they beat a model.
Ranking and personalisation trained on your data, measured against a holdout, not a demo.
Systems that show the evidence behind a recommendation so a person can accept or overrule it.
Model routing, cost and latency budgets, caching and graceful degradation across providers.
Tenant isolation, data residency, audit logging and human review, designed in from the start.
Software engineering
Not a prototype that needs a real team afterwards. Interface, service, data, infrastructure and the operational work that keeps them running.
How we work
The same six stages whether the engagement runs six weeks or three years. Each one produces something you can read.
We map the process as it actually runs, not as the documentation describes it, and agree what success will be measured against.
Written architecture decisions, a data model, an integration plan and a cost envelope, before anyone writes production code.
Short increments against a working system. Tests, review and a deployable trunk from the first week.
Identity, payments, records and the systems you already depend on, connected behind contracts that are versioned.
Staged rollout behind flags, with monitoring, alerting and a rollback that has been rehearsed.
Capacity, cost and reliability tuned against real traffic, then handed over with the runbook.
Technology
A capability is only worth listing if it connects to the others. Intelligence needs somewhere to run, engineering needs something to reason over, and a platform is what keeps both accountable.
Why AinsworthLloyd
We are measured on whether the thing works in production, not on whether the sprint closed. That changes what gets built.
A written decision record, a data model and a cost envelope come first. Most expensive failures are architectural and arrive early.
Deterministic logic is cheaper, faster and testable. We use models where they beat it, and we show you the comparison.
Federal procurement, clinical governance and financial audit. We build to survive the review, not to pass a demo.
Source, infrastructure, credentials, documentation and a runbook. No dependency on us that you did not choose.
The firm predates this wave of AI and will outlast the next one. We have replaced our own work more than once.
Start here
Tell us what you are trying to build, automate or transform. You will speak to an engineer, and you will leave the first conversation with an opinion about your problem whether or not you hire us.
