Work arrivesSupport request
New customer issue enters the queue.
AI-first operations · agents + people
Run recurring work with AI. Keep humans in control.
VA20Four7 designs AI agents, automation workflows and chatbots for repeatable work, then adds trained virtual assistants and specialists wherever judgement, exceptions or customer context still need a person.
Named human ownership
AI-first by design
Works inside your existing tools
Live delivery flow
Active
AI assistsContext prepared
History and a draft response are prepared.
Human ownsReview + resolve
A named person checks context and closes the work.
Live activity
Customer support · escalation reviewed
Finance · invoice follow-up completed
Operations · inbox batch processed
Now
Human accountableEvery workflow has an owner
AI-assistedBuilt around the workflow
Trusted executionRecurring work, kept moving.
Selected clients
PACE
BowTiePro
Mills Learning
01The problem
Recurring work should not require more headcount to keep moving.
Routine work spreads across inboxes, tools and internal teams. The real cost is not just time — it is the constant coordination needed to keep that work moving.
Weekly workloadRecurring work queue
Live
Admin follow-up
Support queue
Finance checks
Sales updates
Workload↑ 38%
Clear owners2 / 7
Coordination loadIncreasing
01 · Capacity
Repeat work consumes expensive team time.
Admin, reporting, support and follow-up keep returning to people who should be focused elsewhere.
02 · Handoffs
More vendors and tools create more coordination.
Each part may have an owner, but the outcome still falls back on your internal team to manage.
03 · Exceptions
Automation speeds up work. It does not own edge cases.
Judgement, escalation and final accountability still need a responsible human.
02
Outcome orchestration
AI handles the repeatable work. People stay accountable for the outcome.
Choose an operating area. We design the workflow around what AI can execute reliably, where human judgement is still required, and how the result stays visible from request to closure.
AI agents execute repeatable work
Humans review exceptions & approvals
Visibility layer measures outcomes
Customer experience
AI-first workflow
AI + human customer support
Use automation for repeat questions and trained people for conversations that need context, judgement or empathy.
VA20Four7 ownsRoutine support conversations
Your team keepsProduct and policy decisions
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01Input
Customer question
Request, context and rules enter one visible workflow.
02AI executes
Resolve or route
Stable, repeatable steps are automated first.
03Human control
Human escalation
Judgement, exceptions and approvals stay human-owned.
04Outcome
Learn and improve
Completion is visible, documented and ready to measure.
Workflow visibility built in
Operations
AI-first workflow
Back office administration
Move recurring admin, coordination and document work away from your core team and into a clear operating rhythm.
VA20Four7 ownsRecurring admin execution
Your team keepsBusiness decisions and approvals
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01Input
Request
Request, context and rules enter one visible workflow.
02AI executes
Process
Stable, repeatable steps are automated first.
03Human control
Quality check
Judgement, exceptions and approvals stay human-owned.
04Outcome
Escalate
Completion is visible, documented and ready to measure.
Workflow visibility built in
Operations
AI-first workflow
Finance & accounting support
Keep bookkeeping, reconciliation, invoicing and month-end preparation moving on a dependable cadence.
VA20Four7 ownsRecurring bookkeeping support
Your team keepsTax and statutory decisions
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01Input
Source documents
Request, context and rules enter one visible workflow.
02AI executes
Reconcile
Stable, repeatable steps are automated first.
03Human control
Review
Judgement, exceptions and approvals stay human-owned.
04Outcome
Close
Completion is visible, documented and ready to measure.
Workflow visibility built in
Growth
AI-first workflow
Pre-sales & sales support
Protect selling time by handing off research, CRM hygiene, follow-up and meeting coordination.
VA20Four7 ownsResearch and preparation
Your team keepsPricing and negotiation
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01Input
Research
Request, context and rules enter one visible workflow.
02AI executes
Qualify
Stable, repeatable steps are automated first.
03Human control
Follow up
Judgement, exceptions and approvals stay human-owned.
04Outcome
Handoff
Completion is visible, documented and ready to measure.
Workflow visibility built in
Growth
AI-first workflow
Marketing execution
Turn approved strategy into consistent campaign execution across content, email, social and reporting.
VA20Four7 ownsCampaign execution and coordination
Your team keepsBrand strategy and positioning
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01Input
Brief
Request, context and rules enter one visible workflow.
02AI executes
Create
Stable, repeatable steps are automated first.
03Human control
Approve
Judgement, exceptions and approvals stay human-owned.
04Outcome
Report
Completion is visible, documented and ready to measure.
Workflow visibility built in
Digital
AI-first workflow
Design & visualization
Keep day-to-day design production moving without asking senior creative people to handle every asset update.
VA20Four7 ownsProduction design and resizing
Your team keepsCreative direction
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01Input
Brief
Request, context and rules enter one visible workflow.
02AI executes
Create
Stable, repeatable steps are automated first.
03Human control
Review
Judgement, exceptions and approvals stay human-owned.
04Outcome
Deliver
Completion is visible, documented and ready to measure.
Workflow visibility built in
Digital
AI-first workflow
Development support
Give maintenance, fixes, QA and delivery work a reliable owner so engineering time stays focused on the highest-value work.
VA20Four7 ownsScoped fixes and maintenance
Your team keepsArchitecture and technical strategy
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01Input
Issue
Request, context and rules enter one visible workflow.
02AI executes
Fix
Stable, repeatable steps are automated first.
03Human control
Test
Judgement, exceptions and approvals stay human-owned.
04Outcome
Review
Completion is visible, documented and ready to measure.
Workflow visibility built in
03
Operating + intelligence layer
Run the work. Understand what the work is telling you.
AI agents and human owners should not operate as black boxes. We connect execution with the visibility layer we are building so performance, QA and customer signals can sit in one operating context.
Platform layer in developmentAgent performanceAI + human scorecard
Last 7 daysAISupport Agent
94HHuman QA Owner
91AILead Follow-up Agent
88Customer voiceSentiment trend
1,248 conversationsConversation intelligenceWhat customers keep saying
Auto-grouped themesFaster response on billing issuesPain point · 126 mentions
↑ 22%Exportable performance reportsFeature request · 84 mentions
↑ 17%More self-service account controlsNeed · 61 mentions
↑ 11%Auto QAQuality signals
Always-on reviewConnects to your stackCRM · Helpdesk · Email · Accounting · Project tools
→
Runs the workAI agents + human owners
→
Learns from the workQA · sentiment · customer intelligence
04
Client proof
Less chasing. More work moving.
Different industries, same result: recurring work gets a dependable owner, communication stays clear, and internal teams spend less time following up on routine execution.
Reliable execution
Clear communication
Less follow-up
Client outcome
01 / 03
“VA20Four7 has been reliable and easy to work with. Recurring tasks keep moving, and our team can stay focused on the work that needs us most.”
PACE Property ManagementProperty management
Client outcome
02 / 03
“A dependable extension of our team. Communication is clear, work moves quickly, and we spend less time chasing routine follow-up.”
BowTieProRisk software
Client outcome
03 / 03
“Flexible, reliable support that helps us keep projects organised, responsive and moving without adding more management overhead.”
Mills LearningLearning & development
05
Why the model is different
An AI-first operating model, not another disconnected tool.
AI execution, human escalation and performance visibility are designed as one operating model—so automation does not become another black box your team has to manage.
AI-first execution
Repeatable work is designed for AI agents and automation before adding manual capacity.
Automation by defaultHuman escalation built in
People step in where judgement, empathy, approvals or exceptions make automation unsafe or incomplete.
Human-in-the-loopCustomer intelligence layer
Support and service conversations become structured insight into pain points, requests, sentiment and recurring friction.
Voice of customerPerformance becomes measurable
The platform we are building will bring scorecards, Auto QA and AI + human agent performance into one view.
Scorecards + Auto QA
06
Start focused
One workflow. Automate first. Add people where needed.
Start with one repeatable workload. Prove the operating model there, then expand only when it earns the right to grow.
Start with a free audit →Map the workload
Find what should be automated, delegated or kept human.
Identify recurring work, tools, approvals, bottlenecks and the outcome that matters.
Launch the right owner
Deploy the AI workflow and human control points.
Design the agent or automation, define approvals and escalation, then add a specialist or VA where the workflow needs judgement.
Improve and expand
Measure, learn and improve.
Use QA, scorecards and customer signals to improve the workflow, then expand to the next use case.
Fits your stack
Keep your tools. Add an AI-first operating layer around them.
No rip-and-replace. We work inside the CRM, helpdesk, inbox, finance and project systems your team already uses — then connect AI agents and human owners around the workflow.
Existing systems stay in place
AI agents operate with business context
Human owners handle judgement and exceptions
VA20Four7
Operating layer
AI agentsHuman ownersQA
InboxGoogle / Microsoft
CRMHubSpot / Salesforce
HelpdeskZendesk
FinanceQuickBooks / Xero
ProjectsAsana / ClickUp / Jira
KnowledgeNotion / Slack
ConnectYour systems
→
OrchestrateAI + people
→
MeasureQuality + outcomes
07
Free Workload & AI Delegation Audit
Find what should be automated first — and where humans still matter.
Share the workload and systems involved. We will map what can become an AI workflow or agent, what needs human ownership, and what should stay internal.
Best starting workloadOwnership + access mapClear recommended next step
Start your audit
A few useful details are enough.