Put AI to work inside the business you already run.
Automations are the reusable AI systems we build into your day-to-day operations: assistants that answer from your own data, agents that handle repetitive work, and pipelines that move information without a person copying and pasting. Built to fit how your team already works, not to hand them one more tool no one opens.
Six places AI earns its keep.
Most businesses lose hours to work that is repetitive, spread across tools, or stuck in someone's head. These are the patterns we automate most often.
Internal AI assistants
Ask your business a question in plain language and get an answer grounded in your own documents, records and history, instead of hunting across four tools or asking three people.
Customer-facing agents
Chat and voice agents that handle repetitive inbound consistently, in your languages, and hand off to a person with full context the moment it matters.
Workflow automation
The repetitive steps between your tools, done automatically: triage, routing, updates, follow-ups, and the handoffs that usually fall through the cracks.
Document and knowledge automation
Turn contracts, reports and long documents into structured summaries, extracted fields and searchable knowledge your team can actually use.
Data pipelines and enrichment
Pull, clean, match and enrich data on a schedule, so the numbers your team relies on stay current without a manual export every week.
Custom agents
When an off-the-shelf tool does not fit, we build the agent around your process, your data and your rules, so it works the way you already do.
Grounded in your data. Tested before you trust them.
An automation is only useful if it is right, and if people actually use it. That is engineering, not a clever prompt.
Grounded, not guessed
Every answer traces back to your real documents and records. When the system is not sure, it says so, instead of inventing a confident answer you cannot check.
Evaluated, not assumed
We test outputs against real cases before anything goes live, and keep measuring once it does. Reliability is engineered in, not hoped for.
Built into your workflow
Automations live where your team already works, so they get used. Adoption is part of the build, not an afterthought once it ships.
Yours to keep
Clean, documented systems that run on your own accounts and data, not a black box you rent from us and cannot see inside.
We do not ship placeholder AI. An automation goes live when its use case is defined and it has been tested, not because it demos well. If the honest answer is that a task is not worth automating yet, we will tell you.