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Solutions · AI Employees for Enterprise

Hire AI employees. Not another tool.

Software makes your team faster. An AI employee does the job. We build marketing AI employees that own real functions end to end — content, RevOps, strategy, lead management, data analysis, and more — trained on your context and wired directly into the systems you already run.

AI team · on shift
Content employeeshipping
RevOps employeesyncing
Strategy employeeanalysing
Lead-management employeequalifying
Data-analysis employeereporting

Live workspaceenterprise

24/7

On shift — no leave, no ramp time, zero context lost

1

Shared context across the entire AI team

Your stack

Direct integration with CRM, CMS, and data warehouse

End-to-end

Outcome ownership, not isolated tasks

Tool vs. employee

You don't need one more thing to log into.

Most SaaS tools wait for a person to open, configure, and click. An AI employee is the opposite: give it an outcome, and it owns the workflow behind that outcome and returns with the work done.

Another SaaS tool

  • Waits for a person to do the work manually
  • Owns one narrow feature, not the whole job
  • Adds another login, seat cost, and learning curve
  • Hands you outputs you still have to execute
  • Lives in its own silo
  • Scales only with more human headcount

A Leadnius AI employee

  • Owns an outcome and runs the end-to-end workflow
  • Handles the whole function, not one isolated step
  • Works inside your existing stack
  • Delivers finished work with approval for high-stakes decisions
  • Shares context across the AI team roster
  • Adds capacity without inflating human headcount

The roster

Your marketing team, staffed with AI employees.

Each employee owns a function the way a specialist hire would, with human judgment kept where it matters. Start with one or stand up a whole team on shared context.

Content

Content Employee

Runs your content engine — research-led, on-brand, and built for both search and AI answer engines.

  • Briefs, drafts, and edits at volume
  • Repurposes across every channel
  • SEO + AEO optimisation
  • Consistent brand voice
on shift

RevOps

RevOps Employee

Keeps the revenue engine clean with data hygiene, routing, and reporting that never fall behind.

  • CRM hygiene and deduplication
  • Lead routing and stage automation
  • Pipeline and funnel reporting
  • Tool-to-tool data sync
on shift

Strategy

Strategy Employee

Builds and pressure-tests GTM strategy from real signals and revisits it as the market moves.

  • Market and competitor analysis
  • ICP and segment modelling
  • Channel and motion planning
  • Scenario and forecast modelling
on shift

Lead management

Lead-Management Employee

Owns every inbound and sourced lead from capture to hand-off — researched, scored, and never dropped.

  • Capture across all channels
  • Enrichment and qualification
  • Scoring and prioritisation
  • Automated timely follow-up
on shift

Data & analytics

Data-Analysis Employee

Turns scattered data into answers, pulling, cleaning, and analysing so decisions rest on evidence.

  • Cross-source data pulls
  • Cleaning and normalisation
  • Analysis and anomaly detection
  • Plain-language reporting
on shift

Research

Research Employee

Runs continuous market, account, and topic research across the web and your data so every team works from current intelligence.

  • Market, competitor & account research
  • Web search for events and sources
  • Synthesised briefs
  • Feeds the rest of the AI team
on shift

Custom

...and more, built to spec

If a function eats your team's time and runs on repeatable judgment and data, we can staff an AI employee for it.

  • Campaign operations
  • Competitive intelligence
  • Outreach and SDR support
  • Whatever your team keeps redoing
on demand

How we onboard an AI employee

Hired, trained, and working — in weeks, not quarters.

We onboard an AI employee the way you would a great hire: understand the role, teach it context, wire it into tools, prove it on real work, then let it run.

01

Scope

Define the function, the outcomes it owns, and where humans stay in the loop.

02

Train

Ground it in your positioning, data model, voice, and rules.

03

Integrate

Wire it into CRM, warehouse, content, and comms systems.

04

Pilot

Run beside your team on live work until the output is trusted.

05

Deploy

Put it on shift with approval gates and monitoring in place.

06

Expand

Add the next employee once the first is paying for itself.

Where an AI employee fits

Between the hire you can't afford and the tool that doesn't act.

AI employees combine outcome ownership with an always-on operating model that works inside your systems.

More headcount

The Human Hire

Brings judgment and ownership, but takes months to hire and ramp, works one shift, and takes knowledge out the door when they leave.

  • Slow and expensive to scale
  • Limited hours and capacity
  • Knowledge leaves when they quit

Another SaaS tool

The Software Seat

Always on, but only assists. It waits for a person to drive it and owns a feature rather than the whole job.

  • Assists, never acts alone
  • One narrow capability
  • Still needs a human driver

Leadnius AI employee

The Best of Both

Owns the outcome like a hire and runs always-on like software, trained on your business and wired into your stack.

  • Owns the function end to end
  • 24/7 and instant to scale
  • Keeps context and never quits

Wired into your world

They work inside your systems, not beside them.

Each employee needs access to the tools where the work lives. We connect employees directly to your operating stack with control and traceability.

Layer 1

Context

Trained on your business

Every employee is grounded in your positioning, ICP, brand voice, data model, and rules, so its work is yours — not generic.

Positioning & ICPBrand voiceData modelPlaybooks & SOPsApproval rules
Layer 2

Integration

Connected to your stack

Each employee reads and writes across the systems your team already uses, so it acts where work happens.

CRMData warehouseMarketing automationCMS & socialSlack / emailAnalytics
Layer 3

Governance

Human control where it counts

High-stakes actions route for approval and every action is logged: automation with a clear audit trail.

Approval gatesFull audit logPermissions & scopesGuardrails

What we measure

A system is only useful when the work moves.

Clear operating measures give your team a way to see whether the solution is earning its place.

Work shipped

Output owned

Finished work delivered: content published, leads processed, reports produced.

Cycle time

Faster throughput

How quickly the function turns around compared with before.

Hours reclaimed

Team freed

Manual load lifted from your people and redirected to human judgment.

Quality & approval

Trust rate

Share of work approved as-is — evidence that it owns the job.

Right for you if

Enterprises bring us in when…

01

Headcount can't keep up with the work.

AI employees add capacity without adding a requisition.

02

Your best people do repetitive work.

Move repeatable functions to AI so humans focus on judgment.

03

Tools pile up but work still lags.

You need something that does the job, not another seat.

04

Your stack is complex.

Employees integrate into it rather than forcing a rebuild.

05

Governance matters.

Approval gates and audit logs keep AI accountable to your standards.

06

You want to start small.

Stand up one employee, prove it, then grow the team.

Before you ask

The questions teams ask.

A tool assists a person; an AI employee owns an outcome. It runs the workflow across your systems and comes back with the job done, managed through outcomes and approvals.

Staff your marketing org with AI employees.

Tell us the function stretching your team thinnest. We'll show you the AI employee that would own it — trained on your business and wired into your systems.