Traffic without a conversation is a wasted audit
Visibility work gets people to the site; agents decide what happens once they're there. We design, build and maintain conversational agents — including Wolf — that qualify visitors, answer real questions, and route to a human at the right moment.
- Qualification, not just chat
- Answers from your own knowledge base
- Clean human handoff
- CRM and inbox integration
0124/7
Availability window for a deployed agent
021 source
Single knowledge base kept in sync with your docs
03Monthly
Review cadence for conversation quality and handoffs
The problem
Most 'chatbots' are a scripted FAQ with a friendlier font.
Teams invest in getting visitors to the site and then hand them a widget that can answer three canned questions and nothing else. The visitor leaves with the same question they arrived with, and the sales or support team still fields it manually later.
A useful agent needs three things most off-the-shelf chat widgets don't have: a real knowledge base kept current, a defined qualification flow, and an honest boundary for when it hands off to a person.
Signs an agent would help
- 01Sales and support answer the same five questions every day
- 02Leads go cold overnight because nobody answers outside hours
- 03Your current chatbot gives generic or outdated answers
- 04High-intent pages get traffic but few qualified conversations
What we build
An agent is built for a specific job, with the tools, information, and boundaries it needs to do that job reliably.
- 01agent
Sales & Qualification Agent
Reviews incoming leads, asks the right questions, and passes qualified prospects to your sales team with the context they need.
- Lead scoring
- CRM integration
- Sales handoff
- 02agent
Support Triage Agent
Sorts incoming support requests, handles repeat questions, and routes complex or sensitive cases to the right person.
- Answers from an approved knowledge base
- Ticket classification and prioritization
- Human handoff
- 03agent
Content Research & Monitoring Agent
Tracks sources, competitors, and industry trends, then turns relevant information into concise, usable updates for your content team.
- Scheduled source monitoring
- Traceable summaries
- Human approval before publishing
- 04agent
Monitoring & Alert Agent
Watches key operational signals and sends an alert to the right person or channel when something moves outside the expected range.
- Configurable alert thresholds
- Defined escalation path
- Complete event logging
- 05agent
Internal Operations Automation
Runs repetitive work across your existing systems — from moving data and completing forms to tracking status — without taking control away from your team.
- Internal tool integration
- Manual pause and review
- Workflow execution reports
Agent anatomy
An Agent is more than an AI model. To work reliably inside a real process, it needs to know what triggers it, what information it can access, how it makes decisions, which tools it can use, and when to stop.
Four core layers
- 01
Trigger
The event or request that brings the Agent into action.
- 02
Context & Retrieval
The relevant data and knowledge the Agent uses to understand the situation and do its job.
- 03
Reasoning
Reviewing the available information and choosing the next action based on the rules, goals, and boundaries defined for the Agent.
- 04
Tools & Actions
The tools the Agent can use to take action, such as a CRM, ticketing system, or messaging platform.
Three control layers
- 05
Guardrails
Limits that define what the Agent can say or do, and what falls outside its scope.
- 06
Human Handoff
When a decision is sensitive, unclear, or outside its scope, the Agent hands the work to a person.
- 07
Logging
Inputs, decisions, and actions are recorded so the Agent's performance can be reviewed and improved.
How we build and deploy
An Agent is designed, tested, and controlled step by step before it enters a real workflow.
- 01
Define the job and boundaries
First, we define exactly what the Agent should do, what falls outside its scope, and when it should stop.
- 02
Connect data and tools
We identify and connect the sources the Agent needs — from knowledge bases and CRMs to ticketing systems and internal tools.
- 03
Test in a controlled environment
We test the Agent with real data and limited access to identify weak points and incorrect behavior before deployment.
- 04
Deploy and monitor
Once approved, the Agent enters the live environment, where its performance, decisions, and human handoffs are reviewed continuously.
Connection levels
Agents work on top of your existing infrastructure and tools; they are not there to replace them.
- Connection level
- Customer communication
- Examples
- Website, WhatsApp Business, email
- Access
- Read messages and send replies within defined boundaries
- Connection level
- CRM & sales
- Examples
- HubSpot, Pipedrive, or internal CRM
- Access
- Create and update lead and sales-status information
- Connection level
- Support
- Examples
- Existing ticketing system
- Access
- Classify requests, handle defined cases, and route complex ones
- Connection level
- Internal data & knowledge
- Examples
- Knowledge base, company documents and information
- Access
- Search and retrieve information needed for answers or decisions
- Connection level
- Monitoring & alerts
- Examples
- Email, Slack, SMS, and alert channels
- Access
- Send alerts and notifications without direct access to critical systems
The tools and access level for each Agent are defined at the start of the project, and the Agent can only operate within that boundary.
Frequently asked questions about Agents
Scope a specific use case with us
Have a repetitive process in sales, support, or internal operations? We'll look at it with you and determine whether an Agent is the right fit — or whether another solution would deliver a better result.
Published: — Inten