Managed AI workers

Free your team from the work that keeps pulling them back.

We build and manage AI workers for the repetitive workflows that slow down support, sales, admin, reporting, and ops with approvals, monitoring, and human oversight built in.

Start with one recurring workflow.
Unread emailsReplied23
Customer requestsFollowed up31
Follow-upsEscalated17
SchedulingScheduled19
Internal remindersTeam notified23
InvoicesFiled14
Data entryCompleted27
CRM cleanupUpdated22
AI Workers
Reading context
Organizing tasks
Executing workflows
Taking action
Routing exceptions
Today's workflow complete
17 replies drafted
9 follow-ups sent
4 records updated
3 items need your approval
Busywork handled. You're back in control.
Follow-ups sent
Invoices recorded
Connects to the tools
you already run
The recurring workload

The same work keeps returning in different forms.

Most teams have work that repeats every day or every week, but never in exactly the same way. Questions need context. Follow-ups need judgment. Updates need checking. Handoffs need someone to notice what changed.

Too specific for basic automation.
Too repetitive for your team to keep chasing manually.

Answer the same customer questions
Draft follow-ups after every lead, call, or request
Summarize meetings, documents, and threads
Keep CRM and project records updated
Watch inboxes, forms, and internal queues
Prepare weekly reports and status updates
Chase missing inputs before work stalls
Turn loose requests into clear next actions

These are examples, not limits. If work repeats in a recognizable pattern, a worker can usually be built around it — these just show the kinds of things that keep coming back.

Where teams start

Specific workers for specific recurring workflows.

These are common starting points, not fixed templates. The right first worker starts with one recurring workflow: what triggers it, what tools it touches, what decisions it makes, and where a human should approve.

Support Triage Worker
Customer support

Drafts replies, routes complex issues, and escalates sensitive cases.

Monitored
ConnectedInboxHelp deskKnowledge base
ApprovalHuman review for sensitive replies.
Lead Follow-Up Worker
Sales & pipeline

Reviews new leads, drafts follow-ups, updates CRM notes, and flags next steps.

Active queue
ConnectedFormsEmailCRM
ApprovalApprove before sending.
Ops Check-In Worker
Operations

Tracks recurring tasks, summarizes status, and surfaces blockers before work stalls.

Daily review
ConnectedProject managementSlackDocs
ApprovalEscalates blockers.
Reporting Worker
Reporting & analytics

Collects data, prepares recurring summaries, and drafts updates for review.

Scheduled
ConnectedSheetsDashboardsDocs
ApprovalHuman approval before distribution.
Records Worker
Admin & records

Organizes documents, extracts action items, and keeps internal records current.

Maintained
ConnectedDriveEmailProject tools
ApprovalReview exceptions.
Not sure where to start?

Start with one recurring workflow. The scan helps identify the first worker, the tools involved, and the approval rules around it.

Start a Workflow Scan

These are example workers to show what's possible, not a fixed menu. Your first worker is scoped around your actual workflow — if it repeats and follows a pattern, it can likely be built.

Controlled by design

AI workers should not mean giving up control.

Every worker is built with clear boundaries: what it can handle, what needs approval, when it should escalate, and how it gets monitored after launch.

When in doubt, it escalates.

If a worker is not confident, missing context, or handling something sensitive, it routes the task to a person with the context attached instead of acting on a guess.

From scan to managed worker

Start with one workflow. Build with control at every step.

No open-ended AI project. No generic automation sprint. We start with a guided Workflow Scan, identify one recurring workflow worth solving, then build the worker around your tools, approval rules, monitoring, and human oversight.

STEP 01

Start a Workflow Scan

Answer a few guided questions about where work repeats, what triggers it, and which team owns it. The goal is to find one real bottleneck, not design an entire automation system.

STEP 02

Review the recurring work

We look at how that workflow runs today: the inputs, tools, handoffs, exceptions, and places where people still need judgment.

STEP 03

Map the worker

We define what the worker should handle, what it should draft or update, what decisions it can make, and where it must pause for a person.

STEP 04

Define approval rules

Sensitive, unclear, or high-risk actions route to a human before anything moves forward. Routine steps can run inside the boundaries we agree on.

STEP 05

Build and connect

We build the worker around the map and connect it to the tools the workflow already uses, so it works inside the way your business actually runs.

STEP 06

Monitor and maintain

Once live, the worker is watched, adjusted, and maintained as your business changes. Prompts, rules, workflows, and tool connections do not get abandoned after launch.

Start a Workflow Scan — illustrationReview the recurring work — illustrationMap the worker — illustrationDefine approval rules — illustrationBuild and connect — illustrationMonitor and maintain — illustration
Real workflows

Built around the way real teams already work.

Workers are not generic chatbots or one-off automations. They are built around the recurring workflows a business already runs: the messages, tools, approvals, updates, reminders, and edge cases that keep pulling people back.

Managed worker
Travel opsWhatsApp intakePassport applicationsHuman approvalCRM updates

A WhatsApp worker that moves passport applications forward.

From client intake to staff member approval, consulate email, customer notification, and CRM update.

Pilot snapshot
44applications routed
68%fewer manual handoffs
96%CRM records updated
The worker moves the process forward from WhatsApp without our staff members chasing every step.
Managed worker
Sales opsLead follow-upHubSpot CRMRep remindersDeal movement

A sales worker that keeps leads moving without making the team live in the CRM.

From website lead to tailored email, CRM update, sales alert, follow-up strategy, and next-step reminders.

Pilot snapshot
7 minavg first response
142follow-ups drafted
219CRM updates logged
The worker keeps our leads moving without forcing the sales team to babysit HubSpot.
Managed worker
Content opsSEO/AEO researchHuman approvalArticle workflowSocial assets

A content worker that turns research into approved articles and social content.

From SEO/AEO research to outline approval, article creation, image prompts, and LinkedIn/X assets.

Pilot snapshot
76topics researched
21articles drafted
186social assets created
The worker turned our content process from a blank-page exercise into a managed workflow.
Built by Taurist Technologies

Practical AI, built by people who understand software and operations.

Workers is built for businesses that need AI to handle real work, not experiments that fall apart after a demo.

AI workers need more than prompts.

They need engineering judgment, workflow design, business context, approval logic, user experience, and ongoing maintenance.

Managed by Taurist from scan to build to live operation.
Richard Hill III
Richard Hill III
Software engineer · AI systems builder · Business owner

Leads the technical architecture behind Workers: worker logic, tool connections, approval systems, monitoring, and maintenance.

5+ years building with AISoftware engineeringSystems architectureBusiness owner
Eduardo Rigonato
Eduardo Rigonato
Business operator · Designer · Conversion strategist

Shapes the workflow experience so Workers are usable by real teams, not just impressive in demos.

7+ years operating businessesUX designConversion strategyWorkflow experience
Active worker buildsTravel, sales, and content workflowsApproval-based systemsHuman oversightMonitoring and maintenanceManaged implementation
Common questions

Before you start with one workflow.

Answers to the questions teams usually ask before turning recurring work into a managed AI worker.

Still deciding where to start?

Start with one recurring workflow. The scan will help identify what a first AI worker could safely handle.

An AI worker is a managed system built to handle a defined recurring workflow. It can use tools, follow rules, draft or update work, ask for approval, escalate unclear cases, and stay monitored by humans. The easiest way to understand it is to try it out and start a Workflow Scan.

No. A chatbot usually answers messages. A worker is built around a workflow: what triggers it, what tools it touches, what decisions it makes, what needs approval, and what happens next.

No. Workers is designed to take repetitive workflow steps off your team's plate so they can focus on the work that needs judgment, relationships, and decisions.

Good first workflows repeat often, follow recognizable patterns, use existing tools, and have clear moments where a human should approve or review. Support follow-ups, sales handoffs, reporting, admin updates, and internal coordination are common starting points. Not sure if yours fits? Run the scan and see the right first worker for your work.

The scan asks a few guided questions about where work repeats, what tools are involved, who owns the workflow, and where approval should happen. From there, we create a first-pass worker plan you can review. It only takes a few minutes — try it and see your first worker plan.

No. You just need to know where work keeps repeating. We help identify the first workflow worth mapping.

Sensitive, unclear, or high-risk actions can pause for a person before moving forward. The worker can route the task with context so your team can approve, edit, reject, or take over.

It escalates. The worker will not guess its way through important work. If context is missing or the action is outside the rules, it routes the task to a person — and it learns from that handoff so it can handle a similar case more confidently next time.

Workers are built around defined workflows and the information needed to operate them. We use business data to understand, build, monitor, and maintain the workflow. Data handling details should be reviewed before launch.

Taurist Technologies builds and manages the worker. That includes workflow mapping, worker logic, approval rules, tool connections, monitoring, and ongoing maintenance.

Start with one workflow

Find your first worker worth building.

Answer a few guided questions about where work repeats. The scan will turn your answers into a first-pass worker plan you can review with Taurist.

No prep. No generic demo. One workflow at a time.

Book an AI workflow review instead
Let's map your first AI worker
Hi, I'm Worker Bee. I'll ask a few quick questions about how your team works, then sketch a first AI worker worth building.