Perpetio

AI agent development services for sales, support and operations

AI agents that get work done.

We build AI agents that plan, use your tools and finish multi-step tasks — in sales, support and operations — with a human approving what matters.

Book a free consultationSee agents by industry
Clutch rating
4.8 / 5
apps shipped
200+
to a working agent
3–6 weeks
reply to every request
< 24h
agents.yourcompany.comAgent running
Sales agent · connected to HubSpot, Gmail, LinkedIn
Follow up with every lead from yesterday’s webinar
Found 42 webinar leadsHubSpot · list “Oct webinar”✓ Done
Enriched and scored them12 hot · 18 warm · 12 cold✓ Done
Drafted 12 personal emailsBased on questions they askedRunning…
Send 12 emails to hot leads now?ApproveEdit

Finds, scores and follows up with leads — you approve before anything is sent

Agents powered by the models that fit your case
  • OpenAI
  • Claude
  • Gemini
  • Llama
  • Mistral
  • AWS Bedrock
  • Azure OpenAI
What we build

Agents for real work, not demos.

From one focused agent to a team of agents that hand work to each other.

  • Custom AI agents

    Agents designed around one job — qualifying leads, closing tickets, reconciling invoices.

    • Single-task
    • Goal-driven

  • Multi-agent systems

    Several specialized agents that plan, check and hand off work to each other.

    • Orchestration
    • Hand-offs

  • Tool & API integrations

    Agents that act in your CRM, ERP, helpdesk, email and internal APIs — via MCP or custom tools.

    • MCP
    • REST
    • Webhooks

  • Voice agents

    Phone and in-app voice agents that book, answer and route calls in natural speech.

    • Calls
    • Booking

  • Browser agents

    Agents that work in web apps without an API — fill forms, collect data, update records.

    • No API needed

  • Human in the loop

    Approvals, limits and escalation rules so people stay in control of risky actions.

    • Approvals
    • Limits

  • Memory & knowledge

    Agents that remember context and answer from your documents with sources.

    • RAG
    • Long-term memory
    Explore the service →

  • Monitoring & evals

    Every step logged and scored, so you see what agents did and how well.

    • Traces
    • Evals

  • Agent security

    Scoped permissions, prompt-injection defense and audit logs for every action.

    • Permissions
    • Audit
AI agents by industry

What an agent can do in your industry.

Real workflows we can automate — built on the apps we already make for these industries.

Healthcare

Patient intake agent

Collects symptoms, checks insurance and books the right doctor — a nurse confirms before anything is final.

  • EHR
  • Insurance API
  • Calendar
Build this agentHealthcare apps →

HOW THE AGENT WORKS

  1. Patient writes at 11 PM“Sharp ear pain since this morning”
  2. Agent checks history & coverageEHR record · insurance valid
  3. Offers 3 ENT slots tomorrowNurse approves the triage
  4. Booked and preparedDoctor gets a short summary
Choosing the right setup

Chatbot, AI agent or multi-agent system?

More autonomy means more value — and more setup. Here is how they compare.

  • Answers

    AI chatbot

    Speed to launch
    Autonomy
    Complexity handled

    BEST FORFAQ, simple support, lead capture

  • Most popular
    Acts

    AI agent

    Speed to launch
    Autonomy
    Complexity handled

    BEST FOROne process across several tools

  • Collaborates

    Multi-agent system

    Speed to launch
    Autonomy
    Complexity handled

    BEST FOREnd-to-end workflows across teams

How an agent works

Plan, act, check — with you in control.

Every agent follows the same safe loop, and every step is logged.

  1. 01 · TRIGGER

    A task arrives

    A message, an email, a schedule or an event in your system.

    • Email or chat
    • Schedule
    • System event
  2. 02 · PLAN

    The agent plans

    It breaks the goal into steps and picks the right tools.

    • Reasoning model
    • Your knowledge
    • Step-by-step plan
  3. 03 · ACT

    It uses your tools

    Reads and writes in your systems with scoped permissions.

    • CRM & helpdesk
    • ERP & databases
    • Web apps & APIs
  4. 04 · CHECK

    You approve

    Risky actions wait for a person. Everything is traced.

    • Approvals & limits
    • Traces & evals
    • Audit log

Agents you can trust with real work

Clear limits, full visibility, and a person in charge.

  • Scoped permissions per tool
  • Approval for money and sends
  • Every step traced and replayable
  • Prompt-injection protection
  • Spending limits per run
  • Kill switch at any time
Case studies

AI products we have shipped.

All case studies
Tech stack

Built on proven agent tooling.

We pick frameworks and models per task and keep your agents portable.

Agent frameworks

  • LangGraph
  • LangChain
  • CrewAI
  • MCP
  • LlamaIndex
  • Vercel AI SDK

LLMs & models

  • OpenAI
  • Claude
  • Gemini
  • Llama
  • Mistral
  • DeepSeek

Tools agents use

  • HubSpot
  • Zendesk
  • Jira
  • Gmail
  • Stripe
  • Notion

Cloud AI

  • AWS Bedrock
  • Azure OpenAI
  • Vertex AI

On-device

  • Core ML
  • ML Kit
  • TensorFlow Lite

Quality & ops

  • LangSmith
  • Langfuse
  • Datadog
How we work

Your first agent live in weeks.

One process, one agent, measurable hours saved — then we scale.

  1. 011 week

    Process audit

    Pick the task with the biggest time savings.

  2. 021 week

    Agent design

    Steps, tools, limits and approvals.

  3. 032–4 weeks

    Build

    Agent connected to your real tools.

  4. 041 week

    Test

    Run on real cases with evals.

  5. 051 week

    Launch

    Go live with monitoring.

  6. 06ongoing

    Scale

    Add tasks and more agents.

  • Agent audit

    from 1 week

    Find where agents save the most time.

    • Process map
    • ROI estimate
    • Risk review
  • Most popular

    Pilot agent

    3–6 weeks

    One agent on one process, live.

    • Built and connected
    • Approvals and limits
    • Hours-saved report

  • Agent platform

    2–4 months

    Several agents working together.

    • Multi-agent setup
    • Shared memory
    • Admin dashboard

  • Dedicated AI team

    monthly

    A team that keeps automating.

    • AI engineers + PM
    • New agents each month
    • Scale anytime
FAQ

Questions about AI agents.

Didn't find yours? Ask us directly — we reply within 24 hours.

What is the difference between a chatbot and an AI agent?

A chatbot answers questions. An agent takes actions — it uses your tools, completes multi-step tasks and reports back, with approvals for anything sensitive.

How much does an AI agent cost?

A pilot agent for one process usually costs $15,000–$35,000 depending on the tools it connects to. Model usage is estimated upfront and tracked per run.

Can an agent make mistakes?

It can, so we design for it: scoped permissions, approvals for money and messages, evals on real cases and full traces of every step.

Which tools can agents work with?

Anything with an API — CRMs, ERPs, helpdesks, email, calendars, databases — and web apps without an API through browser agents.

How long until an agent is live?

Most first agents go live in 3–6 weeks, starting with a short audit to pick the right process.

What is an AI agent?

An AI agent is software that uses a large language model to plan and complete multi-step tasks on its own — reading data, calling tools like your CRM or helpdesk, and checking results — with a human approving key actions.

Let’s build your first AI agent.

Tell us what you're working on. You'll get a clear plan, not a sales pitch.

< 24h

Response time

Free

First consultation

NDA

On request

Lara Kushnei

Lara Kushnei

Business Growth Executive

HQ office

Kaupmehe tn 7-120, Tallinn 10114, Estonia

R&D office

8A Yaneva str., Lviv 79026, Ukraine