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Agents

Automate tasks with
agents that use tools.

CrewAIAutoGenLangChainn8n & Make
Humanapproval loops
Agents with guardrailsTool use, approvals, logs, fallback paths, and business-specific examples.

Useful agents start with clear jobs.

We keep agents focused on bounded work: defined inputs, allowed tools, validation rules, and measurable outcomes.

Sales

Lead and outreach agents

Research prospects, qualify inbound leads, write follow-ups, schedule reminders, and update CRM records.

Support

Ticket triage agents

Classify tickets, find relevant knowledge, draft replies, detect urgent issues, and escalate with full context.

Ops

Back-office agents

Check invoices, parse documents, reconcile data, generate reports, and notify the right team when exceptions appear.

Agents need guardrails, not just prompts.

We define what the agent can read, what it can change, what requires approval, how failures are logged, and how humans can override the workflow.

Tool AccessApprovalsAudit LogsFallbacksEvaluation
Pick a repeatable workflowWe look for tasks with clear inputs, clear outputs, and frequent repetition.
Connect safe toolsAgents use APIs, databases, webhooks, email, CRM, documents, or browser steps with restrictions.
Review and improveWe track outcomes, edge cases, user edits, and escalation reasons so the agent gets more reliable.

Frequently asked questions

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

A chatbot answers questions. An AI agent completes tasks: it can read data, call APIs, update records, draft documents and decide the next step in a workflow. For example, a lead agent can research a company, score the lead, write a follow-up and update your CRM without someone doing each step by hand.

How do you stop an AI agent from making costly mistakes?

We give each agent a narrow job, an explicit list of tools it may use, validation rules on its output and approval steps for anything sensitive, such as sending emails to customers or changing financial records. Every action is logged so your team can review and correct it.

Which agent frameworks do you use?

We use CrewAI, AutoGen and LangChain for multi-step reasoning, and n8n or Make when an agent is one step inside a larger automation. For production systems we often write the orchestration in plain code so it is easier to test and maintain.

What makes a good first AI agent project?

A task that happens many times a week, has clear inputs and outputs, and currently takes a person several minutes each time. Lead qualification, ticket triage, invoice checking and weekly report preparation are common first agents.

Have a repetitive workflow? Turn it into an agent.

We can evaluate the workflow, define the guardrails, and build the first working agent around your current tools.