AI that does the reading, with a person approving every action that matters.
We build AI automation for back-office work such as billing emails, documents and requests. Models run through Amazon Bedrock inside your own AWS account, every result carries a confidence score, and nothing that moves money happens without human approval.
What this solves
Staff spend hours re-typing emails
AI reads the email, extracts the fields and drafts the action for a person to approve.
You worry about public chatbots
With Bedrock, inference runs inside your AWS account under your access controls.
Results must be explainable
Each extraction sits beside its source with a confidence score; every action is logged.
AI costs feel unpredictable
Routine work goes to smaller models; only hard cases go to larger ones.
What you get
- A workflow map of where AI helps and where it should not
- Triage, extraction, retrieval of similar past cases and confidence scoring
- A review queue to approve, edit or reject
- Approval rules by amount or risk
- An immutable audit log
- Cost and accuracy monitoring
Ways to work with us
- AI opportunity assessment
- Pilot on one workflow
- Production build
- Team training on safe AI use
How the work runs
Pick one workflow
High-volume and well understood.
Pilot
Accuracy measured on your own past examples.
Integrate
Connected to email, ERP or accounting, with approval in the loop.
Monitor
Accuracy and cost tracked over time.
What changed when we did this work
Triage, decomposition, pgvector retrieval, extraction, entity matching and confidence scoring, ending in an approval queue for QuickBooks or Bill.com.
Amazon Nova for routine emails and Claude for complex cases, taken through user testing with the AR team.
Tools we work with
- Amazon Bedrock (Amazon Nova
- Anthropic Claude
- Titan embeddings)
- PostgreSQL with pgvector
- AWS Lambda
- Claude Code
- Model Context Protocol
- Python
- TypeScript
Will AI replace our staff?
Our designs keep people in charge of decisions. AI handles reading and re-typing.
Where does our data go?
With Amazon Bedrock, requests are processed within the AWS environment you control. We document the data flow for your DPO.
How accurate is it?
Measured on your own historical examples during the pilot, with a threshold below which items always go to a person.
What does it cost to run?
It depends on volume and which model handles each item. We estimate it during the pilot with your real volumes.
Tell us what you are running today.
Send a short note about your systems and what is getting in the way. You will hear back from the engineer who would do the work.