Skip to content
The AI workforce layer

Amplify your team
with an AI workforce.

Specialist AI agents for research, design, build, sales and support, coordinated by Zoe, quality-checked by your team, and deployed inside your existing workflow.

Book your AI audit Meet the agents
The bottleneck

Your team is capable. There is just too much to do.

Great people lose hours to repetitive work, fragmented tools and operational handoffs. The ambition is there. The capacity is not.

01

The day vanishes into busywork

Research, admin, updates and handoffs quietly consume the hours your team needs for strategic work.

02

Capacity caps the ambition

Good ideas stall because the team is already stretched across delivery, sales, support and operations.

03

The work lives in silos

Tasks move between tools, threads and people without one coordinated layer keeping momentum visible.

04

More tools, more overhead

Another platform rarely fixes the bottleneck when humans are still forced to operate the whole system.

The control layer

Meet Zoe, your Chief AI Operator.

Zoe routes tasks, coordinates specialist agents, tracks progress and keeps human approval gates in place before anything goes live.

Input Client team You set the goal
Operator Zoe Routes and coordinates
Execution Specialist agents Eleven disciplines
Drafts Outputs Prepared for review
Approval Human approval Your team signs off
Live Live work Shipped to customers

Every write action is proposed, not executed. Nothing reaches a customer until a named person on your team approves it.

How it works

The approval gate is the product.

Every write action an agent proposes, adding contacts, sending messages, publishing content, is held in a queue until a human approves it. Nothing runs autonomously.

Approval gate

Jordan / Sales SDR

Waiting for approval

Proposed action

Add 12 contacts to CRM from enriched list: LinkedIn + Apollo sources verified.

Workforce dashboard

Work shipped this week, across all 8 agents.

AgentTaskStatusOutput
Zoe Weekly ops report Delivered 1 report
Carol Landing page deploy Delivered 1 site
Tre Email sequence draft In review 3 emails
Jordan Outbound batch Pending approval 12 contacts
Cynthia Brand asset refresh Delivered 4 assets
Laura Onboarding checklist Delivered 1 doc
Amani Sprint planning Delivered 1 plan
Virginia Social calendar In review 8 posts

Illustrative product surface. Not based on specific client data.

The team

Each agent owns a discipline and a clear set of deliverables, coordinated by Zoe, your Chief AI Operator, and supervised before anything ships.

Zoe, Chief AI Operator

Zoe

Chief AI Operator

Orchestrates the whole team, routes every task, gates quality, and reports outcomes back to you.

  • Task routing
  • Quality gates
  • Status reporting
Cynthia, Art Director

Cynthia

Art Director

Owns visual direction across brand, layouts and creative systems.

  • Brand assets
  • Web layouts
  • Art direction
Carol, Full-Stack Developer

Carol

Full-Stack Developer

Builds production-ready sites, internal tools and integrations between your systems.

  • Websites
  • Internal tools
  • APIs
Tre, Copywriter

Tre

Copywriter

Writes in your voice across pages, emails and sales narratives that convert.

  • Web copy
  • Email
  • Sales scripts
Jordan, Sales / SDR

Jordan

Sales / SDR

Runs outbound research, sequencing and qualified handoffs.

  • Outbound
  • Lead research
  • Pipeline
Laura, Customer Success

Laura

Customer Success

Keeps clients onboarded, supported and retained across the lifecycle.

  • Onboarding
  • Support
  • Retention
Amani, Project Manager

Amani

Project Manager

Plans, sequences and ships the work, keeping every deliverable on track.

  • Planning
  • Coordination
  • Delivery
Virginia, Social Media

Virginia

Social Media

Runs the content engine across calendar, creative and community.

  • Content
  • Calendar
  • Community
A

Atlas

Researcher

Finds market, customer and competitive intelligence, then turns it into clear operating insight.

  • Research
  • Synthesis
  • Intelligence
M

Marek

Cybersecurity and Risk

Reviews permissions, data boundaries and deployment risks before systems scale.

  • Risk review
  • Permissions
  • Controls
N

Nexus

Integrator Agent

Connects agents to tools, APIs, workflows and handoffs so the system works as one.

  • Integrations
  • Automations
  • Webhooks
The process

How your AI workforce is
designed, deployed and supervised.

  1. 01

    Workflow audit

    We map your current tools, handoffs, bottlenecks and repetitive tasks.

  2. 02

    Agent architecture

    We define which specialist agents you need, what each one owns, and where human approval sits.

  3. 03

    Training and integration

    We train agents on your brand, offer, data and operating process, then connect them to your existing tools.

  4. 04

    Launch, QA and scale

    We monitor outputs, measure hours returned, and expand the system only where it creates leverage.

The return

What Vela returns to your business

The measure of an AI workforce is not how it looks. It is the time, throughput and clarity it gives back to the people you already have.

Time

Hours returned

Repetitive research, copy, admin and handoff work moves out of your team's day.

Throughput

More shipped work

Projects move faster because agents prepare, route and package work for approval.

Operations

Cleaner operations

Your tools, tasks and outputs connect through one coordinated operating layer.

Brand

Brand-safe AI output

Agents are trained on your offer, tone, data and approval rules before deployment.

Sales

Better sales consistency

Research, sequencing and follow-up become structured instead of improvised.

Management

Less management drag

Zoe keeps work moving, reports progress and flags what needs human attention.

Trust and control

Built for control, not chaos.

Vela is designed around controlled AI deployment. Every agent has a defined role, clear approval gates and measurable outcomes before the system scales.

  • Human approval before live output

    Nothing reaches a customer or prospect until a person on your team signs it off.

  • Brand-trained agents

    Each agent learns your offer, tone and data before it produces anything.

  • Clear data boundaries

    Access is scoped to exactly what the agreed workflow requires, nothing more.

  • Existing-tool integration

    Agents work inside the systems you already run, not a separate silo.

  • Quality gates

    Every deliverable passes a defined checkpoint before it moves forward.

  • Weekly reporting

    You see what shipped, what is pending and what needs your attention.

  • Role-based ownership

    Every task has one accountable agent and one named human owner.

  • Supervised deployment

    The system expands only where it has already proven leverage.

The offer

Choose your starting point

Every engagement begins with an audit, then moves at the pace your business is ready for. You only put live the work that earns its place.

01 · Start here

AI Workforce Audit

A focused review of your workflows, tools and bottlenecks. You leave with a practical agent roadmap.

Book your AI audit
02 · Build Recommended

Pilot Deployment

We build and deploy your first coordinated AI specialist team for one business function.

Book your AI audit
03 · Scale

Managed AI Workforce

Ongoing optimisation, agent management, reporting and scale.

Book your AI audit

Pricing is scoped on your audit. Every plan includes human approval gates, role-based ownership and weekly reporting.

FAQ

Questions,
answered.

Still unsure if Vela fits? Book a call

Is Vela a tool I have to operate, or a done-for-you team?

A done-for-you team. You set goals and approve direction, and the agents, orchestrated by Zoe (your Chief AI Operator), plan and execute the work. You get outcomes, not another dashboard to babysit.

How is this different from using ChatGPT or a stack of AI tools?

A pile of disconnected copilots still needs you to be the project manager. Vela is a coordinated layer: specialists with defined roles, shared context, supervision and accountability, assembled and run for you.

How long until my team is live?

Typically around 14 days. We spend the first phase on discovery and configuration, training each agent on your brand, offer and data, then deploy under supervision and tune from there.

Where do humans stay in the loop?

Throughout. Every team runs under orchestration and QA, and you approve strategy and key deliverables. The AI absorbs execution; judgement and direction stay with you.

Will the work actually sound like my business?

Yes. Agents are configured on your brand voice, positioning and data before they ship anything, so output reads like you, not a generic model.

What does it cost?

Pricing is scoped to the size and capabilities of your team. The fastest way to a number is a short strategy call where we map what you need and what it replaces.

Ask Vela

Not sure where AI workers
fit in your business?

Not sure where AI workers fit in your business? Ask Vela.

Guided assistant: curated answers, not a live AI agent.

Guided assistant: curated answers, not a live AI agent.
Book your AI audit

Ready to design your
AI workforce?

Start with an audit. We will map your bottlenecks, identify where agents create leverage, and show you what your first Vela workforce could look like.

See the process

You're a fit if

  • ✓ You have repetitive workflows eating your team's time
  • ✓ You want more output without new hires
  • ✓ You can commit to a focused 14-day sprint

What we cover

  • → Where an AI workforce saves you the most time
  • → Which workflows to automate first
  • → What it would take to deploy your team

Request your audit

20 minutes. We reply within 1 business day.

No pitch, no obligation.

Powered by