Put the repetitive thinking on autopilot
Most teams do not need more people. They need the reading, sorting, drafting and routing to happen without anybody touching it.
What companies describe, and what gets built
Left is the symptom as it is usually reported. Right is the actual fix.
Your team re-types information from PDFs and emails into a CRM.
An extraction pipeline reads the document, validates every field against your rules, and writes it straight into the record. Anything ambiguous goes to a review queue instead of being guessed.
Support answers the same forty questions all day.
A retrieval assistant drafts the reply from your own documentation and hands it to an agent for a one-click send, with the source paragraph attached.
Nobody knows which leads deserve attention first.
Scoring runs on every new lead against criteria you define, and only the qualified ones reach the sales queue.
Reporting is assembled by hand every Monday morning.
The report is generated overnight from source systems and delivered before anyone logs in.
Inside the build
I design AI systems that sit inside the tools you already use and carry the judgement-light work continuously — with a human check wherever the stakes justify one. Not a chatbot bolted onto a website. A quiet layer that reads what arrives, decides what it is, and puts it where it belongs.
- Hours back every week — Inbox triage, document reading, data entry and first drafts move off your team's plate entirely.
- Consistent output — The same rules apply at 3am on a Sunday as they do on Monday morning.
- Scales without headcount — Volume doubles and the cost of handling it stays roughly flat.
- Decisions you can audit — Every action is logged next to the input that caused it.
What is included
Everything here is delivered, documented and handed over. Nothing is left depending on my availability.
Document understanding
Contracts, invoices, submissions and forms read and turned into structured fields your systems accept.
Grounded retrieval
Answers drawn from your own knowledge base, with the source attached — not from the open internet.
Guardrails and approval gates
Anything customer-facing or financial passes validation, and a person, before it is written anywhere.
Prompt versioning
Prompts held in version control with regression tests, so a change can be reviewed and rolled back.
Cost and rate control
Budget ceilings, model fallbacks and per-workflow spend visibility.
Full audit trail
Input, reasoning summary, output and destination recorded for every run.
The path one item takes
Every stage is logged, and every failure has a defined destination.
Where this lands hardest
Technologies used
Measured before and after, by the client
Placeholder figures. Replace with your own verified numbers before launch.
Frequently asked
About AI Automation specifically.
Not where it matters. Anything factual is grounded in your own documents, and any output that touches a customer or a record passes a validation step before it is written anywhere. Low-confidence cases are queued for a person rather than guessed.
No. The work that disappears is the work nobody wanted — copying, sorting, chasing. People move onto the judgement calls, which is where they were useful anyway.
Model usage is usually the smallest line in the bill. Most builds run for less per month than a single part-time hire, and the scope document gives you the estimate before anything starts.
Prompts are versioned and there is a fallback model configured. A provider change becomes a scheduled update rather than an outage.
Related services
Rarely bought alone.
Tell me what is taking too long
Thirty minutes, no pitch. If automation is the wrong answer for your situation, you will hear that on the call.
Reply within one business day · NDA before any system detail is discussed