AI Agent Development
AI agents that do the work, not just answer questions.
Agents that read your data, use your tools and act inside Slack, your CRM and your help desk, with guardrails you control.
One agent run, step by step
Where agents save hours each week
Support
- Answer order and account questions
- Draft replies from your help docs
- Tag, route and summarize tickets
Operations
- Read invoices and forms into your systems
- Reconcile records across tools
- Chase missing data by email
Sales
- Research leads before calls
- Update CRM after meetings
- Draft follow-ups in your voice
Engineering
- Answer questions from docs and Slack history
- Triage bug reports
- Write release notes from merged work
Skippy
A Slack-native knowledge agent for an internal development team.
- Problem
- Answers were buried across Slack threads, PDFs and handoff notes.
- What we built
- An agent that indexes channels and documents with RAG, answers in Slack, and creates and updates Zoho Desk tickets.
- Result
- Launched internally for support and engineering handoffs, cutting time spent on repeat questions.
Guardrails come standard
An agent with access to your systems needs the same controls you would give a new hire.
Human approval
Refunds, emails to customers and data changes can require a click to approve.
Scoped access
Each agent gets only the tools and data its job needs.
Full audit log
Every prompt, tool call and result is recorded and searchable.
Evaluations
A test set of real cases runs before every prompt or model change.
Chatbot, automation or agent?
Not every problem needs an agent. If fixed rules cover it, we will recommend a simpler automation and save you the cost.
| Chatbot | Automation | AI agent | |
|---|---|---|---|
| Answers questions | |||
| Takes actions in your tools | |||
| Handles unexpected inputs | |||
| Plans multi-step work | |||
| Predictable, rule-based |
Questions about AI agents
Not covered here? Email hello@eqvilabs.com.
What can an AI agent automate?
Repetitive multi-step work such as answering internal knowledge questions, triaging support tickets, updating CRM records, generating reports and running workflows across your tools.
Have you shipped an AI agent?
Yes. Skippy is a Slack-native AI knowledge agent we built that answers team questions from Slack threads and documents using RAG.
Which models do you use?
We pick per task: OpenAI, Anthropic Claude, Google Gemini or open-source models. Agents are built so the model can be swapped later.
How do you stop an agent from making mistakes?
Agents get limited permissions, a validation step, human approval for sensitive actions and a full log of every step. We test them on real cases before launch.
What tools can an agent connect to?
Slack, email, CRMs like HubSpot, help desks like Zoho Desk or Zendesk, your database and any tool with an API.