AI that does real work in your business.
From the first use case to everyday use: we find where AI saves real time, build it into the tools your team already uses, and keep a person approving whatever matters. Set up in accounts you own, with clear rules on what it can see.
froma customer
subjectCan we move the delivery?
- requestmove delivery date
- ordermatched in system
- replydrafted for you
What you get
AI we put to work.
01
Assistants on your own documents
Staff ask in plain language and get answers from your policies, contracts and past work, with the source shown.
02
Document and email intake
Forms, invoices and emails read as they arrive, the details pulled out and entered where they belong.
03
Drafting
Replies, reports and summaries drafted in your format, ready for a person to check and send.
04
AI agents in your workflows
Agents that carry out multi-step work across your systems, and stop for approval before anything leaves the company.
05
AI in the tools you already use
The AI features in Lark, Microsoft 365 or Google Workspace switched on and set up properly for your team.
06
Guardrails and training
Who can use what, which data the AI can see, a log of what it did, and training so your team trusts it.
works with: Claude · OpenAI · Gemini · Lark AI · Microsoft Copilot
When it is worth doing
Four signs AI would save you time.
- 01
Staff spend hours reading documents and typing the details into another system.
- 02
The same questions get answered by hand, again and again.
- 03
People already use AI chat tools on their own, with no rules about company data.
- 04
You tried an AI tool, and it never made it into daily work.
How it runs
Start small. Prove it. Then roll it out.
- Written shortlist
Find the use case
A short workshop on where the hours go, and a written shortlist of what AI can take on first.
- Your documents
Pilot on real work
One use case built on your own documents and tested by the people who will use it.
- People in the loop
Roll out
Connected to your systems, with access rules, logging and a person approving what matters.
- Measured
Train and improve
Training for your team, then regular reviews of what it gets right and what to change.
With one process that takes hours every week and follows a pattern: reading documents, answering the same questions, drafting the same kind of reply. We build that first, measure the time it saves, then decide on the next one.
We use business plans and APIs whose terms say your data is not used to train the models, limit what each assistant can see, and log what it does. Steps where a wrong answer would cost you keep a person approving.
That is not the aim. AI takes the reading, the typing and the first drafts, and your team spends that time on work that needs judgement. A person stays responsible for anything that leaves the company.
Yes. It can sit inside Lark, Microsoft 365, Google Workspace or your own system, so your team does not have to learn another app.
Tell us what you are trying to fix.
A 30-minute call is enough for us to say what we would do, and what we would not.