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VAUG Agents

AI agents that answer, qualify and reconcile, while your team does the real work.

We design agents around your workflows, connect them to your CRM, inbox, WhatsApp and ERP, and run them for you. Every action is logged, every risky step goes to a person, and they get better every month.

  • Support
  • Sales
  • WhatsApp & voice
  • Finance
  • Operations
  • Documents

VAUG Agent Console

Support Agent · WhatsApp

Live
  • Hi, my order #4821 hasn't arrived. Can I get a refund?

Illustrative · not real customer data

Answer customers, Qualify leads, Book appointments, Match invoices, Chase payments, Update the CRM, Read documents, Route tickets

typical time to a first agent in shadow mode
2 wkstypical time to a first agent in shadow mode
of agent actions logged and reviewable
100%of agent actions logged and reviewable
across chat, email, WhatsApp and voice
24/7across chat, email, WhatsApp and voice
improvements included in every plan
Monthlyimprovements included in every plan

Agent types

Agents We Build. 

Six families of agents cover most of the repetitive work in a business. Pick one to see how it runs.

Customer support

Answers questions, tracks orders, handles returns and escalates what needs a person, in your tone of voice.

  1. TriggerCustomer message arrives
  2. Step 1Identify customer and order
  3. Step 2Search policies and history
  4. Step 3Draft or send the answer
  5. Step 4Escalate refunds over the limit
  6. OutcomeTicket resolved and tagged

What it handles

  • Order status and tracking
  • Returns and refunds
  • Account and billing questions
  • Policy and FAQ answers
  • Ticket triage and tagging

Where it works

  • Web chat
  • Email
  • WhatsApp
  • Instagram
  • Zendesk
  • Intercom
tickets resolved without a human
60–70%tickets resolved without a human
first response
< 30sfirst response

Typical targets, agreed per project.

Process

How an Agent Project Runs. 

Five stages, a demo every week, and nothing goes live until it has proved itself on your real work.

  1. Week 1

    Audit

    We shadow your team, measure where hours go and pick the workflow with the clearest payback.

  2. Weeks 2–3

    Build

    Agent, knowledge, integrations and guardrails, demoed to you as they grow.

  3. Weeks 3–4

    Shadow run

    The agent drafts, your team approves. We measure accuracy on real cases.

  4. Week 5

    Launch

    It goes live on the tasks it has earned. People keep the edge cases.

  5. Monthly

    Improve

    Monthly reviews, new skills and new workflows, reported every Friday.

Human in the loop

Humans in the Loop. Guardrails by Design. 

An agent is only useful if you can trust it. These controls come as standard.

Approvals

3 waiting
  • Support Agent

    Refund on order #4821

    Above auto-refund limit

    Waiting Approved
  • Lead Qualifier

    10% discount offer

    Enterprise lead, needs sales sign-off

    Waiting Approved
  • Finance Agent

    Mark 6 payments duplicate

    Low-confidence match

    Waiting Approved

Approve · Edit · RejectEvery decision logged

Illustrative approval inbox
  • Approval thresholds

    Refunds, discounts, payments and anything above your limits wait for a person.

  • Grounded answers

    Agents answer from your approved knowledge and systems, and say so when they don't know.

  • Full audit trail

    Every message, tool call and decision is logged with who approved what.

  • Scoped permissions

    Each agent can only read and write what its job needs. Nothing more.

  • Evaluations before release

    Changes are tested against real past cases before they reach customers.

  • Instant off-switch

    Pause any agent or skill in one click, and fall back to your team.

Integrations

Works Where Your Work Already Lives. 

Agents plug into the tools you use today. No migration, no new inbox to check.

CRM & sales
HubSpotSalesforcePipedriveZohoClose
Messaging & voice
WhatsApp BusinessTwilioIntercomSlackTeams
Email & calendars
GmailOutlookGoogle CalendarCalendlyCal.com
Helpdesk
ZendeskFreshdeskGorgiasHelp ScoutFront
Finance & ERP
XeroQuickBooksNetSuiteSAPStripe
Commerce & data
ShopifyWooCommerceAirtableGoogle SheetsPostgreSQL

Responsible AI

Responsible AI, in Plain English. 

We decide with you, in writing, what the agent does on its own and what always stays with a person.

What the agent does

  • Answers routine questions from approved knowledge
  • Looks up orders, bookings, invoices and records
  • Drafts replies, journals and summaries
  • Updates your CRM, helpdesk and spreadsheets
  • Books meetings and sends reminders
  • Flags anything unusual for review

What stays with your people

  • Refunds, credits and payments above your limits
  • Complaints, sensitive or emotional conversations
  • Discount exceptions and contract terms
  • Medical, legal or financial advice
  • Hiring, firing and anything about staff
  • Final sign-off on month-end and reporting

Case studies

Agents in Production. 

How we start

Three steps to your first live agent.

Start with one workflow. The agent proves itself on your real work before it ever answers a customer on its own.

  1. This week

    Step 01

    Agent discovery call

    We map where your team loses hours and pick the workflow with the clearest payback.

    What you get

    • Ranked list of agent opportunities
    • Expected accuracy and payback
    • The integrations you'd need
  2. 3–4 weeks

    Step 02Where most start

    Shadow-mode pilot

    One agent drafts replies and actions on live work while your team approves each one. We measure everything.

    What you get

    • A working agent on your channel
    • Accuracy report on real cases
    • Go-live recommendation
  3. Monthly subscription

    Step 03

    Managed agents

    Live agents hosted and watched by us, improved every month and extended to new workflows as they prove out.

    What you get

    • Hosting, monitoring and alerts
    • Human approval on risky steps
    • Monthly improvements
  • Proposal within 48 hours
  • Every action logged
  • You own your data and prompts
  • NDA on request

Questions We Hear Often. 

  • What's the difference between a chatbot and a VAUG agent?

    A chatbot answers questions. An agent also acts: it looks up the order, issues the refund (with approval), updates the CRM and books the call. It works across your systems, not just in a chat window.

  • Which AI models do you use?

    Whichever fits the job: Claude, GPT, Gemini or open models like Llama and Mistral. We choose per task for quality, cost and data residency, and can switch without rebuilding.

  • Is our data used to train models?

    No. We use enterprise model APIs that don't train on your data, or host open models privately. Data stays in UK or EU regions by default.

  • What if the agent gets something wrong?

    Risky actions need approval, low-confidence answers go to a person, and every action is logged. When something slips through, we fix the cause and add it to the test set so it doesn't happen again.

  • How long until an agent is live?

    Most first agents run in shadow mode within two weeks and go live around week five, once they've proved themselves on your real work.

  • Do we need technical staff?

    No. We build, host and maintain everything. Your team just approves, reviews and tells us what to improve.

  • Can you build agents inside our own product?

    Yes. Through Custom Development or AI Engineering we build agent features into your SaaS or app, which you then own and run.

Get in touch

Tell us which work you'd hand to an agent.

Describe the workflow in a few lines. A senior AI lead replies within one business day with a first view on what's possible.

  • Free 30-minute strategy call
  • NDA on request
  • Proposal within 48 hours

We reply within one business day. No spam, ever.

Every repetitive task is a job
an agent could do today.

Free workflow review · NDA on request · Proposal within 48 hours