Amplify your team
with an AI workforce.
Specialist agents that research, design, build, sell, and support alongside your people, coordinated by Zoe and supervised before anything goes live.
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.
The day vanishes into busywork
Research, admin, updates and handoffs quietly consume the hours your team needs for strategic work.
Capacity caps the ambition
Good ideas stall because the team is already stretched across delivery, sales, support and operations.
The work lives in silos
Tasks move between tools, threads and people without one coordinated layer keeping momentum visible.
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.
- Client team You set the goal
- Zoe Routes & coordinates
- Specialist agents Assigned per workflow
- Outputs Prepared for review
- Human approval Your team signs off
- Live work Shipped to customers
The workforce
Choose the outcome,
not the agent.
Vela assembles the right specialist operators around the workflows your business actually runs, coordinated by Zoe and supervised before anything ships.
01 · Growth & Sales workforce
For a sales motion, Vela assembles a revenue pod instead of asking you to buy separate bots.
- Input
- Increase qualified sales conversations.
- Vela decides
- Which specialists, tools, approvals and QA gates are required.
- Output
- A managed sales workflow, not a chatbot bundle.
Operators assigned · examples
-
Jordan Outbound & SDR -
Tre Sales copy & sequences - Atlas Lead intelligence
- Nexus CRM & pipeline sync
Named operators are examples. Deployment adapts to the workflow.
02 · Marketing & Content workforce
For a content engine, Vela assembles a creative pod that ships on a calendar and on brand.
- Input
- Publish consistent, on-brand content.
- Vela decides
- Voice, formats, channels, cadence and the approval path.
- Output
- A running content operation, reviewed before it posts.
Operators assigned · examples
- Tre Copy & narrative
-
Virginia Social & community -
Cynthia Art direction
Named operators are examples. Deployment adapts to the workflow.
03 · Customer Operations workforce
For the customer lifecycle, Vela assembles a success pod that keeps clients moving.
- Input
- Onboard and retain more customers.
- Vela decides
- Touchpoints, SLAs, escalation rules and what stays human.
- Output
- A supported lifecycle, with humans on the high-stakes moments.
Operators assigned · examples
-
Laura Onboarding & support -
Amani Sequencing & delivery
Named operators are examples. Deployment adapts to the workflow.
04 · Technology & Automation workforce
For delivery, Vela assembles a build pod that ships production work and wires it in.
- Input
- Ship tools and connect your stack.
- Vela decides
- Architecture, integrations, QA gates and rollout.
- Output
- Production-ready systems, integrated and supervised.
Operators assigned · examples
-
Carol Build & integrations - Nexus Automations & webhooks
Named operators are examples. Deployment adapts to the workflow.
05 · Strategy & Intelligence workforce
For decisions, Vela assembles an intelligence pod that turns signal into a clear call.
- Input
- Decide with better information.
- Vela decides
- Sources, scope, synthesis and how findings reach you.
- Output
- Operating insight, not a pile of tabs.
Operators assigned · examples
- Atlas Research & synthesis
-
Zoe Routing & decisioning
Named operators are examples. Deployment adapts to the workflow.
06 · Security & Governance workforce
Before anything scales, Vela assembles a governance check around access and risk.
- Input
- Scale without losing control.
- Vela decides
- Permissions, data boundaries and where approval gates sit.
- Output
- Controlled deployment, with risk reviewed up front.
Operators assigned · examples
- Marek Risk & permissions
- Zoe Approval gates
Named operators are examples. Deployment adapts to the workflow.
The process
How your AI workforce is
designed, deployed and supervised.
- 01
Workflow audit
We map your current tools, handoffs, bottlenecks and repetitive tasks.
- 02
Agent architecture
We define which specialist agents you need, what each one owns, and where human approval sits.
- 03
Training and integration
We train agents on your brand, offer, data and operating process, then connect them to your existing tools.
- 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.
Hours returned
Repetitive research, copy, admin and handoff work moves out of your team's day.
More shipped work
Projects move faster because agents prepare, route and package work for approval.
Cleaner operations
Your tools, tasks and outputs connect through one coordinated operating layer.
Brand-safe AI output
Agents are trained on your offer, tone, data and approval rules before deployment.
Better sales consistency
Research, sequencing and follow-up become structured instead of improvised.
Less management drag
Zoe keeps work moving, reports progress and flags what needs human attention.
One workforce, every function
Everything your operation needs,
on one radar.
Eight specialists cover the work that usually takes a whole team. Zoe routes every task to the right one, then checks the result before it reaches you.
- Web development
- Brand & design
- Copywriting
- Outbound sales
- Customer success
- Social content
- Project delivery
- Integrations
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.
Why it works
Built to ship outcomes,
not activity.
A few principles keep the system accountable: measured on work shipped and hours returned, supervised by Zoe, and trained on your context.
We built Vela to give ambitious teams the leverage we always wanted: specialists who handle the volume so your people can focus on the work only they can do.
Outcomes over output
We are measured on the work shipped and the hours handed back to your team, not on activity.
Human-supervised, always
Every agent runs under Zoe's coordination. Your team stays in control, and nothing reaches you unchecked.
Your context, your voice
Agents are trained on your brand and data, so the work sounds like your team, not a generic model.
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.
AI Workforce Audit
A focused review of your workflows, tools and bottlenecks. You leave with a practical agent roadmap.
Book your AI auditPilot Deployment
We build and deploy your first coordinated AI specialist team for one business function.
Book your AI auditManaged AI Workforce
Ongoing optimisation, agent management, reporting and scale.
Book your AI auditPricing is scoped on your audit. Every plan includes human approval gates, role-based ownership and weekly reporting.
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 processYou're a fit if
- Your team is stretched across more than they can ship
- You want more capacity without more complexity
- You can commit to a focused 3 to 6 week setup
What we cover
- Where an AI workforce frees your team's time
- Which work to hand off first
- What it takes to deploy your specialists
Request your audit
20 minutes. We reply within 1 business day.