Book a free consultation
In a 30-minute session, we'll review your processes and highlight automation areas with the fastest ROI.
How we work
From an idea to a working AI agent in 4 steps. Personit joins as an external operations team. We work with your data and systems, bypassing internal IT bottlenecks.
Discovery and Process Selection
We analyze your workflows, volumes, and systems. Together, we identify areas where an AI agent will deliver the fastest ROI and operational impact.
Data Workshop and Agent Design
We map data sources (CRM, helpdesk, documents, knowledge bases) and define the agent's persona, decision scope, and escalation rules.
Prototyping and User Testing
Within weeks, we build a working prototype. You test it on a subset of traffic or your team. We gather feedback and refine the agent.
Production Deployment and Optimization
We integrate the agent with your systems and set up quality monitoring and KPIs. We continually optimize responses as your data or workflows evolve.
At every stage, you have full control over what the agent can and cannot do in your systems.
What our AI Agents can do
We design AI agents around your workflows. Below are example scenarios we frequently deploy for our B2B clients.
AI Project Manager – Project Management Automation
Manages tasks, attends meetings as a listener, catches blockers, and updates statuses. Automatically updates CRM, creates summaries from Github commits. Monitors deadlines and reports daily progress. AI drafts email responses – approved with one click on Slack. Connected to knowledge base – answers questions about processes, decisions, and transcriptions.
See more24/7 Customer Support Agent
Answers FAQs, checks order statuses, handles simple complaints and data update requests. Creates and updates tickets autonomously. Escalates complex issues to human agents with full context.
Sales and Lead Qualification Agent
Reacts instantly to new leads from forms, chat, or ad campaigns. Asks qualifying questions, updates your CRM, and schedules meetings in sales calendars.
Internal Knowledge Agent (RAG)
Answers questions based solely on your documents: procedures, offers, regulations, and knowledge bases. Instead of digging through folders and wikis, employees simply ask the agent and get answers with source links.
Process and Back-Office Agents
Extracts data from invoices, contracts, and applications to input into your systems. Prepares draft emails, contracts, or reports that your team simply reviews and approves.
Analytics and Reporting Agent
Collects data from multiple sources, generates reports, and identifies trends and anomalies. Delivers key business metrics to decision-makers without manual data aggregation.
Security & Data Control
We build agents based on RAG (Retrieval-Augmented Generation) architecture. The agent relies exclusively on your data, preventing hallucinations.
Your data remains secure in your infrastructure or private cloud.
Your business know-how is never used to train public AI models.
We log every prompt and action taken by the agent. You define the access perimeters.
What do we measure and optimize?
Cooperation Models & Pricing
Instead of rigid pricing tables, we align the billing model with the project scope and forecasted agent usage. Your costs scale synchronously with the business value generated for your team.
Project + Retainer
A one-time fee for agent design and deployment. A monthly retainer covers maintenance and further rollouts. Typical for custom agents built around client-specific processes.
Subscription Tiers
A fixed monthly fee for a pre-selected package of agents and integrations. Recommended for startups and smaller teams employing repeatable configurations.
Hybrid Model
A fixed base fee combined with usage-based billing for excessive volumes (e.g., high conversation counts or heavy document processing). Highly recommended.
During our first call, we will estimate potential KPIs together and propose a pricing model tailored perfectly to your volume and workflows.
