Question 1

What is an AI agent and how is it different from a chatbot?

Accepted Answer

A chatbot answers questions. An AI agent takes actions. Our agents sign in to your systems, update records, trigger APIs, and chain multi-step workflows autonomously, with human review only where you want it.

Question 2

How long does it take to deploy a custom AI agent?

Accepted Answer

A single-purpose agent with a well scoped workflow typically ships in two to four weeks. Multi-agent systems with orchestration and long running pipelines take six to twelve weeks end to end.

Question 3

Where do AI agents run and who owns the data?

Accepted Answer

Agents run wherever your compliance requires. We deploy to your cloud account, your on-prem infrastructure, or our managed environment. You own the data, the prompts, and any fine-tuned weights.

Question 4

What does it cost to build an AI agent?

Accepted Answer

Discovery and scoping starts at a fixed fee, typically four to eight thousand dollars. Implementation is scope dependent. Most teams land between twenty and eighty thousand dollars for a production agent, plus usage-based LLM costs.

Question 5

Can AI agents integrate with our existing tools?

Accepted Answer

Yes. Our agents connect to Salesforce, HubSpot, Zendesk, Jira, Slack, Microsoft 365, Google Workspace, SAP, NetSuite, Snowflake, Postgres, and any system with a REST API or webhook. Custom adapters are part of the scope.

Question 6

How do you prevent agents from going off the rails?

Accepted Answer

Every agent has hard policy guardrails, tool scoping, output validation, human-in-the-loop checkpoints for high risk actions, and detailed action logging. We test against adversarial inputs before production.

Purpose-Built Autonomous AI Agents for Enterprise Operations

Core Capabilities →

Autonomous Execution

RAG & Knowledge Access

Multi-Agent Orchestration

Predictive Monitoring

Natural Language Interfaces

Continuous Learning

Agent Deployment Process

Strategic Discovery

Custom Tuning

Live Integration

Ready to scale your workforce with AI?

LLM Architecture

Workflow Integrations

AI Infrastructure