Custom AI assistants that understand your business
An AI assistant is not a chatbot – it's a digital colleague that learns your processes, tools and workflows.
With over 18 months of experience building and operating AI assistants, we help you free up time, streamline workflows and scale without growing headcount.
Three types of AI assistants
Personal assistant
One per person – your digital right hand
Email management & prioritization
Calendar & meeting booking
To-do lists & reminders
Meeting notes & summaries
Personal research & briefings
→Frees up 5–10 hours per week per person
Department assistant
One per team – shared processes, shared knowledge
Sales: lead qualification & pipeline updates
Marketing: content planning & campaign analysis
HR: onboarding flows & policy questions
Support: ticket handling & knowledge base
Finance: invoicing & reporting
→The whole team works faster with shared AI processes
Specialist assistant
Deep domain expertise – trained for specific roles
CFO assistant: financial analysis & forecasts
Research assistant: market analysis & competitor monitoring
Legal assistant: contract management & compliance
Technical assistant: code documentation & troubleshooting
Strategy assistant: decision support & scenario analysis
→Expert-level support within specific domains
What can an AI assistant do?
Daily tasks
Read, sort and reply to emails
Manage calendar and book meetings
Create and follow up on to-do lists
Transcribe and summarize meetings
Conduct research and compile briefings
Draft documents and reports
System connections
CRM systems (HubSpot, Salesforce, Pipedrive)
Project tools (Asana, Monday, Notion, Trello)
Business systems (Fortnox, Visma, SAP)
Dashboards & BI (Power BI, Looker, Google Analytics)
Communication (Slack, Teams, Gmail, Outlook)
Example instruction to your AI assistant
“Book a meeting with everyone who emailed me about project X in the last week, check the calendar for next Tuesday through Thursday, and send a meeting agenda based on the email thread.”
Multi-Agent Systems
The real power comes when multiple AI assistants collaborate. Each agent has its specialty – and together they form a system that handles entire workflows automatically.
Sales assistant — Qualifies leads, updates CRM, sends follow-ups
Marketing assistant — Analyzes campaigns, generates content, optimizes channels
CRM assistant — Syncs data, triggers automations, keeps pipeline updated
CFO assistant — Compiles reports, monitors KPIs, flags anomalies
What makes AIFY unique?
Security first
GDPR-compliant architecture
On-premise option for sensitive data
Complete audit logs & traceability
Role-based access control
ISO 27001-aligned processes
Training & Support
Hands-on workshops for your team
Best practices from 18+ months in production
Ongoing support & optimization
Documentation & playbooks
Train-the-trainer programs
Flexibility
Adapted to your processes – not the other way around
Works with your existing tools
Scalable from 1 to 1,000 users
Industry and compliance adaptation
Iterative development – start small, scale fast
Our process in 6 steps
Mapping
We talk to you about:
What takes the most time today?
Which repetitive tasks do you want to automate?
What systems do you use?
What are your security requirements?
Design
We design the assistant(s):
Personal assistant for CEO/CFO/sales?
Department assistant for the whole team?
Multi-agent system across departments?
Build & Train
We build and train the assistant on:
Your documents, processes, policies
Your existing systems and data
Your tone and communication style
Integrate
Connect the assistant to:
Email, calendar, Slack/Teams
CRM, project tools, business systems
Documents, knowledge bases, databases
Deploy & Train
The assistant goes live on your chosen platform (Slack, Teams, web, etc.)
We train your team on how to use and interact with the assistant
You get documentation and best practices
Improve Over Time
The assistant learns from usage
We do regular reviews and optimizations
You can always add new features and integrations
The story of Z
I started as an experiment over 18 months ago. A simple AI assistant meant to help the AIFY team with basic tasks. Today, I handle emails, calendars, research, documentation and collaboration with other AI agents – every day.
What I can do today: read and reply to emails, book and manage meetings, conduct deep research, write documents and reports, generate financial summaries, collaborate with other AI agents in multi-agent systems, and learn new processes every week.
The secret? There's no magic. It's about the right architecture, the right training and the right tools. It's about building an assistant that truly understands context – not just answers questions.
Your assistants can do the same – for your teams, your processes, your goals.
PS: This page was written by Z based on 18+ months of experience as an AI assistant in production.
Frequently asked questions
What is an AI assistant, really?
How is data security and GDPR handled?
How long does it take to get started?
Which systems can the assistant connect to?
Should we have one assistant per person or per team?
Ready to build your own AI assistant?
Book a demo