Two AI products that handle your email and answer your customers
We connect AI directly to your mailbox and your knowledge. It replies in your brand voice, grounded in your real material — 24/7, multilingual, with a human on the tricky cases.
AI Email Assistant
The assistant connects directly to Gmail, Outlook, or IMAP via OAuth — no forwarding, no address changes. It reads incoming email and drafts a reply grounded in your FAQs, documents, and past conversations. Based on a confidence threshold you set, it either sends the reply automatically (auto-send) or saves it as a draft for a human to approve.
What it does
- Connects to Gmail, Outlook, and IMAP via OAuth
- On-brand replies grounded in your material
- Confidence threshold: auto-send vs. draft for review
- Human-in-the-loop — escalation for tricky cases
- Multilingual replies (EN / CS / RU and more)
- Email API to integrate with your own systems
Where it helps most
Customer-support inbox
Your support@ inbox gets the same questions over and over. The assistant answers in minutes from your FAQ and docs — and cites the source.
Sales inquiries after hours
A sales lead lands at 11pm? The assistant replies instantly, qualifies the lead, and leaves a draft for your rep in the morning.
Repetitive onboarding questions
“How do I reset my password?”, “where's my invoice?” — routine questions get auto-send, your team handles only the exceptions.
Multilingual inbox
A customer writes in Czech, English, or Russian — the assistant replies in the same language, in the same tone.
How it works
- 1
Connect your mailbox
We connect your inbox via OAuth — the assistant works right inside it.
- 2
Teach the AI your knowledge
We load FAQs, documents, and history. It answers only from real material.
- 3
Set the threshold and go live
You decide where auto-send kicks in. The rest runs 24/7 while you watch the metrics.
AI Knowledge Agent
A chat agent that connects to your live sources over MCP — Notion, Slack, Google Drive, and more. It answers both customers and employees from current data (it reads the source directly, not a stale copy) and grounds every answer in a document it cites. Deploy it on your website, in Slack, or via API.
What it does
- MCP connectors for Notion, Slack, Google Drive, and more
- Answers from live company knowledge — always current
- Source citation on every answer (no hallucinations)
- Deploy on your website, in Slack, and internally
- Knowledge admin at admin.praktickai.app
- Agent API to integrate with your own apps
Where it helps most
Customer help on your site
A widget on your website answers from your docs and knowledge base — accurately and with a source link, not guesses.
“Where's the doc?” in Slack
Employees ask the agent in Slack and get an answer from Notion and Drive without hunting across tools.
Instant answers grounded in Notion
Internal wiki, processes, HR policies — the agent reads live data, so the answer is always current.
Onboarding new hires
A new joiner asks anything from VPN to vacation policy — the agent answers from company sources and links the right page.
How it works
- 1
Connect sources over MCP
We connect Notion, Slack, Drive, and more. The agent reads straight from them — no manual import.
- 2
Configure the knowledge base
You choose which sources the agent uses, its rules, and its tone — all in one place.
- 3
Deploy and grow
A widget, Slack bot, or internal chat. See what people ask and add sources over time.
AI PR Review
PR Review installs as a GitHub App. Request praktickai[bot] as a reviewer on a pull request and it reads the whole diff, then posts inline comments on bugs, security issues and performance problems — the second pair of eyes, in about a minute. Rule-based auto-approval is next on the roadmap.
What it does
- Installs as a GitHub check — your code never leaves your repo
- Rules versioned in your repo as .praktickai/pr-review.yml
- Auto-approves only when every rule passes
- Sensitive paths and failing checks always escalate to a human
- Optional auto-merge when the branch is green
- Every decision logged to an auditable trail
Where it helps most
Dependency & formatting PRs
Dependabot bumps, lint fixes, and generated files get approved in seconds instead of waiting hours for a rubber stamp.
Docs and copy changes
Markdown edits and content tweaks that can't break the build merge themselves — reviewers keep their focus for real code.
High-volume teams
When dozens of low-risk PRs land daily, review time compounds. PR Review clears the queue so humans see only what matters.
After-hours contributions
A safe PR opened at midnight doesn't have to wait until morning — it ships the moment CI is green.
How it works
- 1
Read every PR
It evaluates the diff, changed paths, size, CI status, and author against your policy.
- 2
Approve or escalate
Meets every rule and it approves — and can auto-merge. Trips any rule and it stays untouched and pings a human.
- 3
Record the reasoning
Every decision, and what it saved, is posted to the PR and to an audit trail.
Calculate your savings
Drag the values to match your reality and see how much time and money AI saves you every month.
Hours saved / month
106 h
Cost saved / month
3696€
This is a rough estimate based on the values you enter, not a guaranteed result.
Why our AI, not a generic chatbot
Grounded in your sources
Every answer comes from your real material and cites the source. No hallucinations.
Connects to your tools
Gmail, Outlook, IMAP, Notion, Slack, Google Drive — over OAuth and MCP, with no data migration.
Multilingual (CS / EN / RU)
It replies in the customer's language and in your brand's tone.
Human in the loop
A confidence threshold and escalation mean a person always oversees anything sensitive.
Ready to start?
Start a free course or explore training options for your team.
Beginner courses are free. Team training includes workshops, custom programs, and consulting.