// Jozsef Pallagi · AI agent integrations
AI agent integrations
Add AI where it actually saves time — support, data entry, internal tools — wired into what you already use.
Where an AI agent actually helps
Not "AI for everything" — the handful of workflows where it removes real, repeated manual work.
- Support inbox triage. Draft replies from your inbox or chat, escalate the ones that need a human.
- Data entry from documents. Pull structured data out of PDFs, emails, or forms straight into the system you already run on.
- Internal lookup tools. A Slack or Teams bot that answers "where's my invoice" style questions from your own data.
- Repetitive research and monitoring. Summarizing documents, watching feeds, flagging what actually needs a human decision.
What's in the package
- Working integration
- Deployed and wired into the tool you already use, not a demo.
- Fixed, agreed scope
- One clearly defined workflow, written down before anything is built.
- Source & docs
- Full source code, plus a short doc on how it works and how to change it.
- Handoff session
- A walkthrough call so your team isn't left depending on me.
How it works, and what it costs
$ price --modelFixed price, quoted after the discovery call
- 01Discovery callA short call to understand the workflow and what "done" looks like.
- 02Scoped proposalFixed price and scope in writing, no surprises once work starts.
- 03BuildThe integration gets built and tested against your real cases.
- 04Handoff & supportA walkthrough, the docs, and the guarantee below.
The guarantee
If the agent doesn't do what we scoped, I keep working on it until it does — at no extra cost. You're not paying for attempts, you're paying for a working result.
Covers the workflow agreed in the proposal. Changing the scope after the fact is new work, quoted the same way.