Repetitive, rule-based, text-heavy
The work follows a known process, mostly involves reading and writing, and a trained person could explain the rules in an afternoon.
We design an agent around one of your real workflows, connect it to the systems it needs, and run it on your own servers with your team approving the steps that matter.
An agent is software that reads, decides and acts on a task the way a trained assistant would, following a defined process and using only the tools you give it. It works best when three things are true.
The work follows a known process, mostly involves reading and writing, and a trained person could explain the rules in an afternoon.
Contracts, patient or client records, financial data or internal documents that you cannot send to an outside AI provider.
Someone on your team already checks this work today and can approve, correct or reject what the agent produces.
The agent takes the first pass. A person checks the result before it counts.
Drafted replies, sorted by priority, sent after review.
Answers drawn from your own files, with the source shown.
Key clauses and missing items flagged for a reviewer.
First drafts assembled from your data, ready for edits.
Fields extracted and checked before anything is saved.
Staff questions answered from your policies and runbooks.
Agents read from and write to your existing tools, inside your network.
PDF and Word files, shared drives and document stores.
SQL databases and CRM systems.
REST endpoints and webhooks from your existing tools.
Shared inboxes and helpdesk queues.
Agents and AI models run on hardware you own or control. Nothing is sent to an outside AI provider unless you decide it should be.
Each agent gets only the tools and data you allow. Riskier jobs run in isolated sandboxes (rootless Podman containers).
Every action is logged. Your team sees what an agent did and why, and can approve, edit or stop it at any step.
Current open-weight models such as Qwen, DeepSeek, Gemma and GLM, sized to your hardware. You can change models later without rebuilding workflows.
Every agent runs on LychD, the open-source agent platform we build and maintain. LychD itself is pre-alpha: it runs on loopback for a single user, and its install path does not yet work end to end. That is why client work is delivered as a supervised engagement. Snayu engineers install, configure and run the agent on your hardware, and the statement of work spells out what is in scope today and what is still on the roadmap.
The custom agents, code and workflows we build for you are yours, unless your signed agreement says otherwise. The LychD core stays open source under the Mozilla Public License 2.0, so it can always be inspected.
Tell us where work stalls, repeats or loses context. We will scope one workflow, run an agent beside your team on your own hardware, and show you in numbers what it is worth.