Managed AI workers

Managed AI workers that run the work between your tools.

We build and run AI workers that qualify leads, answer repeat questions, prepare follow-up, update CRMs, schedule work, and stop for a human before any risky move. You get the capability without managing it.

Huron Agents
Marketplace
AllSalesSupportOpsMarketing
LeadGen Pro
Automate outbound
Support Desk AI
24/7 service
Workflow Automator
Connect tools
Social Curator
Manage channels
Analytix Agent
Report insights
Ops Sync
Update records
Lead qualificationCustomer supportCRM updatesScheduling and reports
Lead agents

Qualify buyers before sales gets involved.

Capture need, timing, location, budget, and urgency so your team knows who to call first.

  • website chat
  • form enrichment
  • lead scoring
  • CRM notes
Support agents

Answer repeat questions from approved knowledge.

Use source documents and escalation rules so customers get help quickly without risky answers.

  • FAQ answers
  • policy lookups
  • handoff rules
  • conversation logs
Operations agents

Move clean data across tools.

Prepare records, reports, reminders, tasks, and follow-up drafts without manual copy-paste.

  • CRM updates
  • calendar prep
  • report drafts
  • approval queues
Where to start

Choose the agent by the problem,not by the trend.

What can an agent do?

It can read approved sources, collect details, write clean updates, draft replies, and route edge cases to a person.

Action, not just chat

Where should it live?

Website chat, forms, inboxes, CRMs, calendars, documents, and reporting tools are all possible surfaces.

Tool-native

How do we keep it safe?

We define permissions, approval gates, logs, escalation rules, and fallback behavior before launch.

Controlled by design
How it ships

A clear build path you can actually follow.

01

Pick one workflow

We avoid broad assistant promises and start with the job that has the clearest business value.

One useful job
02

Connect trusted sources

The agent only uses the systems, documents, and fields approved in scope.

No mystery data
03

Add approval gates

Risky sends, deletes, account updates, and customer promises stop for human review.

Humans stay in control
04

Measure and tune

After launch, we watch output quality, handoffs, response time, and missed edge cases.

Improve with use
FAQ

Questions people ask before they buy.

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

A chatbot mostly answers questions. An agent can take steps across tools, such as creating a task, updating a CRM, drafting a reply, or routing a lead for review.

Can agents work with our current CRM?

Usually yes. We scope around your current tools and only connect what the workflow actually needs.

Will customers know when AI is involved?

That depends on the workflow. We recommend clear disclosure for customer-facing agents and human approval for sensitive communication.

How long does the first agent take?

A focused first agent often takes a few weeks. More complex workflows with many integrations or compliance needs take longer.

Start with one agent that earns trust.

The first agent should be narrow, useful, measurable, and safe. Then you can expand from proof instead of hype.