Screening & matching
Match candidates to roles, or requests to the right person, faster and more consistently.
AI workflow automation that gives time back.
We build AI agents that take on repetitive screening, triage, summarisation and admin, so your people spend less time on manual work and more on the work that needs them.
What we build
Automate the busywork, keep the judgement.
AI automation handles the repetitive, text-heavy steps of a process, with people in control of the decisions.
Triage & routing
Read incoming requests, classify them and send them to the right place.
Summaries & reports
Turn long threads, documents and notes into clear summaries.
Data extraction
Pull the key details out of documents and emails into structured data.
Approvals in the loop
People review and approve the steps that matter before anything is final.
Connected systems
Automations that work with your existing tools through APIs.
How we work
From manual process to automated workflow.
Find the workflow
We map the process with your team and find the repetitive steps worth automating.
Prove it
We test an AI agent on real cases from your workflow before building further.
Automate with checks
We build the automation with clear hand-offs to people where judgement matters.
Launch & refine
We launch, refine and support, so the workflow keeps improving.
Client work
See it in production.
Use cases & technology
Where AI automation fits.
Use cases
Recruitment screeningCandidate matchingRequest triageDocument processingMeeting & case summariesAdmin workflows
Automation stack
Agentic AILLMsLangChainMulti-Agent OrchestrationRAG
Delivery
PythonFastAPIDjangoReact
FAQ
Frequently asked questions.
Which processes are best suited to AI automation?
Repetitive, text-heavy steps that follow a pattern but need some understanding, such as screening applications, triaging requests, extracting details from documents and writing summaries.
Will AI automation replace our team?
Our goal is to remove repetitive admin, not people. We design automations so people stay in control of the decisions that matter and have more time for the work that needs them.
How is AI automation different from RPA?
Traditional robotic process automation (RPA) follows fixed rules on structured data. AI agents can read unstructured text such as emails, CVs and documents, and cope with variation that rule-based automation can’t.
Give your team time back.
Tell us about the repetitive work slowing your team down, and let’s explore what an AI agent could take on.