Managed AI workers

Managed AI workers that answer, qualify, follow up, and update, on their own.

We build AI workers around your real business jobs, qualifying leads, answering repeat questions, preparing follow-up, updating records, and stopping for a human when judgment matters. Then we run them, so the work just happens.

AI AgentsWorkflow SyncCRM SyncAuto Reply
Agent Running
CONSOLE LOGS
task: Parse inbound lead from web form, qualify business fit, update CRM, and draft customized scheduling proposal
Form Leadrunning...
HubSpotqueued
Claude 4.8queued
Calendarqueued
Lead qualificationSupport answersCRM updatesHuman approval gates
Lead agent

Qualify before the sales call.

Capture need, timeline, budget, location, and urgency before a human enters the conversation.

  • website chat
  • form enrichment
  • lead scoring
  • sales handoff
Support ticket #CED-1492Resolved
Hi, I'm having trouble with my order payment.
I'm looking into this now. It looks like an internal validation issue, not your bank.
Reprocessed successfully. Your confirmation is on the way.
That's all, thanks. Super helpful.
Workflow status
Issue detected
Submitted via help form
Agent analyzing
Checked order + logs
Customer notified
Update sent by email
Resolved
Payment reprocessed
Support agent

Answer repeat questions safely.

Use approved answers, source documents, and escalation rules so customers get help without risky hallucinations.

  • knowledge base
  • handoff rules
  • conversation logs
  • answer review
GithubNotionFigmaGoogle

Connect your apps

For more powerful functionality

ConnectClose
Ops agent

Move data without copy-paste.

Read from forms, inboxes, CRMs, and sheets, then write clean updates where they belong.

  • CRM sync
  • task creation
  • report drafts
  • approval gates
Claude
Opus 4.8
Max (20x)
OpenAI
GPT 5.5
Pro (20x)
Gemini
Gemini 3
Std (10x)
Sound familiar?

Use agents when people keep repeating the same high-value work across tools.

Are leads being answered late?

An agent can collect context, score urgency, and draft the next reply while your team is busy.

Faster response

Is support repeating itself?

An agent can answer common questions from approved knowledge and escalate edge cases.

Less inbox drag

Is the CRM always behind?

An agent can prepare updates, notes, and tasks so records stay useful.

Cleaner pipeline
How it ships

A clear build path you can actually follow.

01

Audit the current flow

We trace the work from first contact to completed task so the real bottleneck is visible.

You see the problem map first.
02

Scope the smallest useful build

We define the workflow, owner, data source, approval rule, and launch metric before development starts.

Fixed scope before payment.
03

Ship with demos

You review working versions during the build, not a surprise at the end.

Weekly review rhythm.
04

Tune after launch

We watch real usage, fix friction, and hand over simple operating notes.

Support included after launch.
Runs on your stack

Automation built around the tools you already run the business on.

No rip-and-replace. Click any tool in the ring to see what the automation does there.

Speed to lead

First reply in minutes

New inquiries get answered, qualified, and routed while competitors are still checking voicemail.

Follow-up

No lead goes cold

Sequenced follow-up drafts itself from CRM context and pauses for your approval where it matters.

Leads · Replies · Tickets · CRM updates
Back office

Paperwork does itself

Invoices, reports, and record updates flow between tools without anyone retyping anything.

Visibility

You see every move

Each automated action is logged in your system of record, so trust is verified, not assumed.

FAQ

Questions people ask before they buy.

Will an AI agent replace my team?

No. The goal is to remove repeat work and speed up follow-up. Humans stay in charge of judgment, sensitive decisions, and final approvals.

Can the agent connect to our tools?

Usually yes. We scope integrations around the systems you already use, such as a CRM, calendar, forms, email, documents, and reporting tools.

What happens when the agent is unsure?

The agent should stop, explain why it is unsure, and route the item to a human with the context already collected.

Give the agent one job and a safe handoff.

That is how AI automation becomes useful in a real business instead of becoming another tool nobody trusts.