AI Agents, Voice Receptionists
& Business Automation
Nexra AI designs, builds and runs AI agents that answer routine calls and enquiries, qualify leads and book appointments — for plumbing, HVAC, electrical and contracting businesses, and service businesses worldwide.
- 24/7 Automation
- Multi-Channel
- Custom Workflows
- Handover Rules
- Scalable Systems
- VisitorRunning
Receiving enquiry
- AI AgentQueued
Intent: pricing + fit
- QualificationQueued
Score 87 · strong fit
- CRMQueued
Contact + deal created
- Follow-UpQueued
3-step sequence live
- BookingQueued
Tue 14:30 confirmed
- RevenueQueued
Assigned to sales
Response
< 3s
Channels
4 live
Handoff
Enabled
Illustrative agent pipeline: Visitor, AI Agent, Qualification, CRM, Follow-Up, Booking, Revenue.
Your team shouldn’t be doing work software can handle.
Most businesses do not have a marketing problem or a hiring problem. They have an operations problem — the same eight tasks, repeated by people, every single day.
- 01
Leads go unanswered
Enquiries arrive after hours, on three different channels, and sit until someone opens the inbox.
First responsehours, not seconds - 02
The same questions, every day
Pricing, availability, scope, delivery times. Your team retypes the same answers instead of doing skilled work.
Repeat volumemost of support - 03
Follow-up depends on memory
Warm prospects go cold because nobody had a system reminding them on day two, day five and day fourteen.
Follow-upmanual and uneven - 04
Bookings are a back-and-forth
Five messages to agree a time, then a no-show because nothing confirmed or reminded automatically.
Schedulingfriction at the close - 05
Customer data is scattered
Half in a CRM, half in text messages, some in a spreadsheet. No single record of who wants what.
Recordsfragmented - 06
Tools do not talk
Form, inbox, CRM, calendar and billing all work — separately. Humans are the integration layer.
Handoffscopy and paste
We turn each of those repeated tasks into a system that runs itself — connected to the tools your business already uses.
Plumbing, HVAC, electrical and contracting businesses.
Your team is on the job when the phone rings. An AI receptionist answers routine calls, enquiries and appointment requests in your business name, so the work is captured instead of missed.
Plumbing
Routine calls and job requests
Calls and enquiries are answered while your plumbers are on jobs. The agent captures the job type, address and preferred time, takes the booking request and sends your office a written summary.
AI receptionist for plumbersHVAC
Service and maintenance requests
Service visits, maintenance bookings and quote requests are taken by phone, chat or form, with the system type and availability recorded for your team.
AI receptionist for HVACElectrical Services
Quote and appointment requests
Routine calls about installations, inspections and quotes are answered, the details are captured and the appointment request lands in your calendar for confirmation.
AI answering for electriciansContractors
Estimate requests
Estimate calls are answered while you are on site. The agent asks your qualifying questions, records the project scope and books the site visit request.
AI receptionist for contractors
See how it works for each trade
The AI receptionist is built for routine calls, enquiries and appointment requests. It is not an emergency service: urgent and safety calls should follow your own on-call arrangements.
A module for every part of the customer journey.
Each system below is built to your business, not configured from a template. Deploy one, or connect several into a single operating layer.
- 01
AI Sales Agent
Web · SMS · Email
Engages every inbound enquiry in seconds, understands what the prospect actually needs and moves the conversation toward a booked call.
- Intent detection
- Objection handling
- Deal routing
AI Sales Agent: how it worksEvery lead gets a real conversation, not a form receipt.
- 02
AI Customer Support Agent
Web · Email
Answers from your own documentation, order data and policies, and passes anything outside its scope to your team under rules you set.
- Grounded answers
- Ticket deflection
- Escalation rules
AI Customer Support Agent: how it worksRepeat questions resolved without a ticket queue.
- 03
AI Receptionist
Phone · Web · SMS
A front desk for routine calls, website inquiries and texts: answers, captures the details, takes appointment requests and texts back missed calls.
- Calls and messages
- Missed-call text-back
- Routing
AI Receptionist: how it worksRoutine calls and inquiries answered, sorted and logged.
- 04
AI Voice Agent
Inbound & outbound calls
Answers routine calls in natural speech, captures what the caller needs, takes the appointment request and writes the summary into your CRM.
- Natural speech
- Call summaries
- Handover rules
AI Voice Agent: how it worksRoutine calls and appointment requests answered at any hour.
- 05
Lead Qualification Agent
Any inbound channel
Asks the qualifying questions your sales team would ask, scores the lead against your criteria and flags the ones worth calling today.
- Scoring model
- Budget & fit
- Priority alerts
Lead Qualification Agent: how it worksYour team spends its hours on qualified pipeline.
- 06
Appointment Booking Agent
Calendar-connected
Takes appointment requests, offers open times where your calendar connects, confirms the booking and sends reminders to reduce missed appointments.
- Live availability
- Reminders
- Reschedule flows
Appointment Booking Agent: how it worksFewer empty slots and far less scheduling admin.
- 07
AI Knowledge Assistant
Internal · Team chat · Web
An internal assistant trained on your processes, pricing and documents so staff stop hunting through drives and old threads.
- Document grounding
- Source citations
- Access control
AI Knowledge Assistant: how it worksInstitutional knowledge becomes searchable in seconds.
- 08
Marketing Automation System
Email · SMS
Segments contacts by behaviour and runs the nurture, re-engagement and post-purchase sequences that would otherwise never get built.
- Segmentation
- Sequences
- Re-engagement
Marketing Automation System: how it worksCampaigns that keep running after launch week.
- 09
CRM Automation
Your CRM · via its API
Creates and enriches records, sets stages, assigns owners and keeps the pipeline accurate without anybody updating it by hand.
- Record sync
- Stage rules
- Deduplication
CRM Automation: how it worksA CRM your team can actually trust.
- 10
Custom Business Automation
Internal operations
Quoting, onboarding, reporting, approvals, document generation — the internal work that quietly consumes your week.
- Process mapping
- Document generation
- Approvals
Custom Business Automation: how it worksBack-office processes that run themselves.
Watch an AI agent run a full sales conversation.
A scripted walkthrough of the same architecture we deploy: one message arrives, and ten steps later a qualified lead is scored, recorded, booked and in a follow-up sequence.
- 01Receive inquiry
- 02Understand intent
- 03Qualify
- 04Identify need
- 05Recommend
- 06Save lead
- 07Update CRM
- 08Offer booking
- 09Schedule
- 10Follow-up
Nexra AI · Agent Console
Sample conversation · illustrative data
No signals captured yet.
No record yet
Nothing booked
Demonstration only. The conversation, lead record, score and booking shown are authored sample data — no live customer information is used.
Agents you can actually operate.
An agent that nobody can observe is a liability. Every system we deploy comes with the surfaces your team needs to see what it is doing — status, activity, health and a clear route to intervene.
Observable
Every run is traceable, from trigger to outcome.
Interruptible
Any conversation can be taken over by a person mid-flow.
Bounded
Agents act only within the tools and scopes you grant.
Improvable
Real transcripts feed the tuning cycle after launch.
- Sales AgentWeb · SMSonline
- Support AgentWeb · Emailonline
- Voice ReceptionistInbound callslistening
- Knowledge AssistantInternaltraining
- Waiting for activity…
- Agent runtimeOperational
- Integrations18 connected
- Queue depth0 waiting
- CredentialsServer-side only
Illustrative monitoring surface. Production deployments include run traces, failure alerting and an audit trail scoped to your access rules.
Interface preview using sample data. No live customer information is shown.
One enquiry. Eight systems. No one touching a keyboard.
This is what an end-to-end workflow looks like once it is built properly: a single trigger fans out across your CRM, inbox, messaging, calendar and team — with the AI agent making the routing decisions in between.
Trigger to CRM
Under 3 seconds
From form submission to a written, owned record.
Branches
Conditional
Different paths for different intents and scores.
Failure handling
Retry + alert
A failed step retries, then escalates to a human.
Observability
Full trace
Every run is logged so you can see exactly what happened.
- Website FormTrigger
- AI AgentReasoning
- Lead QualificationScoring
- CRMSystem of record
- Email
- SMS
- Calendar
- Team Notification
What changes once the systems are running.
Not features — operational differences your team feels in the first month.
Seconds
to first reply
Faster lead response
Inbound enquiries are answered the moment they arrive, on the channel they arrived on.
24/7
coverage
24/7 customer support
Evenings, weekends and holidays are handled without adding headcount or shifts.
Live
calendar booking
More booked meetings
Qualified conversations end in a confirmed slot instead of a promise to follow up.
Repetitive
work removed
Lower manual workload
Data entry, routing, reminders and status updates move from people to systems.
Defined
follow-up rules
Automated follow-up
Every prospect enters a sequence with defined timing, channel and exit conditions.
One
source of truth
Centralised business data
Conversations, contacts and outcomes land in one place, structured and searchable.
Consistent
every time
Better customer experience
The same accurate, on-brand answer regardless of channel, hour or workload.
Built
to grow with you
Scalable operations
Designed so a rise in enquiries is handled by the system first, before it needs more people.
Figures above describe system behaviour and operating capability, not guaranteed client results. Any numeric projection elsewhere on this site is labelled as an estimate.
Other industries we build for.
The architecture is the same. The conversation, the qualifying criteria and the integrations are not.
Real Estate
Instant enquiry qualification
An agent responds to portal and website enquiries in seconds, qualifies budget, area and timeline, then books the viewing directly into the agent's calendar.
Medical Billing
Front-desk enquiries and call routing
Routine calls and general enquiries are answered, the caller's details are captured and each request is routed to your billing team to handle.
Restaurants
Reservations and order questions
A voice and chat agent takes reservations, answers menu and allergen questions and confirms large-party bookings while the kitchen stays focused.
E-commerce
Order support and recovery
Order status, returns and sizing questions are resolved from live store data, and abandoned checkouts trigger a personalised recovery sequence.
Agencies
Lead intake and scoping
Inbound briefs are qualified against your ideal client profile, scoped into a structured summary and routed to the right strategist.
Professional Services
Consultation scheduling
New enquiries are triaged by matter type, conflict-checked against your criteria and scheduled with the correct practitioner.
Education
Admissions and student support
Course, fee and admission questions are answered around the clock, with applications tracked and follow-up handled automatically.
Local Businesses
Missed-call recovery
Every missed call triggers an instant message that captures the job, quotes a starting range and books the visit.
SaaS
Trial activation and onboarding
Trial signups get guided onboarding, behavioural nudges and in-product answers, with sales alerted when usage signals intent.
Customer Support Teams
Tier-one deflection
Routine tickets are resolved automatically with grounded answers, while complex cases reach a human with full context attached.
Healthcare Administration
Appointment and reminder flows
Routine appointment requests, rescheduling and reminders are handled automatically to ease front-desk phone load. Clinical and patient-record questions stay with your staff.
Home Services
Dispatch and quoting
Job details are captured on first contact, priced against your rate card and dispatched to the nearest available technician.
Not listed? The systems are built from your process, not a sector template — if the work is repeatable, it can be automated.
Discuss your operationThree systems, end to end.
Each example below is a representative build showing the problem, the architecture and the operational change. They are illustrative reference workflows, not reports of named client results.
AI Lead Qualification System
Incoming leads arrived from a website form, a property portal and text messages. They were handled manually during office hours, so response times stretched into the next working day and the highest-intent enquiries were not identified first.
A single AI agent now receives every enquiry regardless of channel, understands the intent behind it, asks the qualifying questions the sales team would ask, scores the lead, writes a structured record into the CRM and books qualified prospects straight into a viewing slot.
Every enquiry receives an immediate, contextual reply. Qualified leads reach the calendar without a human touch, and the team's manual triage work is removed from the day.
- Three unconnected inboxes
- Replies during office hours only
- Manual scoring by memory
- CRM updated retrospectively
- One agent across all channels
- Immediate first response, 24/7
- Consistent scoring criteria
- CRM written at conversation time
Support Deflection & Order Assistant
A high share of support volume was the same small set of questions — order status, delivery windows, returns and sizing. Agents spent their day retyping answers, and genuinely complex cases waited behind them in the queue.
A support agent grounded in the store's policies and live order data answers routine questions instantly on web chat and email. Anything outside its scope is passed to the support team with the full conversation, order record and a suggested resolution attached.
Routine questions are resolved without a ticket. Human agents receive fewer, better-prepared conversations and complex cases are picked up sooner.
- Queue dominated by repeat questions
- Copy-paste macros per agent
- Context rebuilt on every escalation
- Support closes overnight
- Tier-one resolved automatically
- One grounded source of answers
- Escalations arrive with full context
- Coverage continues out of hours
Voice Reception & Dispatch Flow
Calls arrived while technicians were on site. Missed calls were rarely returned the same day, and the details that were captured lived on paper and in individual phones rather than in a shared system.
An AI voice agent answers routine calls, captures the job type and address, quotes an indicative range from the published rate card, books the visit against live technician availability and notifies the team with a written summary.
Routine calls are answered at any hour, job details are captured consistently, and dispatch happens from a single scheduled record rather than from recollection.
- Missed calls during site visits
- Job details on paper
- Manual callback backlog
- Scheduling by phone tag
- Routine calls answered on site days
- Structured job record created
- Automatic booking and reminders
- Team notified with a summary
Sample case studies. These describe reference architectures and the operational differences they produce. They do not represent specific named clients, and no performance figures are claimed.
Five steps from bottleneck to running system.
A defined engagement with written deliverables at each stage. You always know what is being built, why, and what happens next.
Discover
Week 1We map how your business actually runs before proposing anything.
- Workflow and channel audit
- Bottleneck and volume analysis
- Customer journey mapping
- Success criteria agreed up front
Architect
Week 1–2A written system design: agent behaviour, data flow, integrations, escalation.
- Agent scope and conversation design
- Integration and data model
- Handover rules
- Security and access boundaries
Build
Week 2–5We build the interfaces, logic and connections that make the system real.
- Agent logic and knowledge grounding
- Workflow and integration build
- Interface and channel setup
- Internal dashboards and alerts
Test
Week 5–6We break it deliberately, then fix what breaks — before your customers see it.
- Conversation quality review
- Edge case and failure handling
- Integration reliability testing
- Live pilot with your team
Launch & Optimise
OngoingDeployment, monitoring and a tuning cycle based on real conversations.
- Staged rollout
- Monitoring and alerting
- Monthly performance review
- Continuous refinement
Typical timeline — final schedule depends on project scope and integrations.
What is the repetitive work actually costing you?
Move the inputs to match your business. The model is deliberately simple and every assumption is shown — it is a conversation starter, not a forecast.
Enquiries across every channel.
Fully loaded cost per hour.
Time your team spends on work software could do.
Revenue from one closed customer.
Share of leads that become customers today.
Share of that repetitive work moved to systems.
Estimated monthly impact
$8,916
$106,992 estimated over twelve months
- Hours saved / month
- 66 hrs
- ≈ 8 working days
- Labour value saved
- $2,112
- Hours saved × hourly cost
- Lead opportunity value
- $6,804
- ≈ 3.8 additional deals
- Conversion uplift used
- 9.0%
- Relative, derived from coverage
Estimates only. Actual results vary by business. Figures are produced from the inputs above using a fixed model: labour value is hours saved multiplied by hourly cost, and lead opportunity value assumes a relative conversion improvement of up to 15% at full automation coverage. Nothing here is a forecast or a guarantee.
Find your AI system in ten questions.
Answer honestly and you will get a scoped starting point — which tier fits, why it fits, and the capabilities we would build first.
Find Your AI System
Question 1 of 10
Scoped properly, priced honestly.
Every build is quoted after discovery, because the right number depends on your workflows and integrations. The tiers below describe scope — not a fixed price list.
AI Starter
One focused automation or agent
A single, well-defined system deployed properly: one agent, one channel, one clean integration path.
- One AI agent or automation
- One primary channel
- Knowledge grounding from your content
- Up to two integrations
- Handover rules
- Launch support and tuning
Best when one bottleneck is costing you real money.
Get a Custom QuoteAI Growth System
Multi-step business automation
Several connected agents and workflows operating across channels, with your CRM and calendar as the system of record.
- Multiple agents across channels
- Lead qualification and scoring
- CRM and calendar automation
- Automated follow-up sequences
- Internal notifications and dashboards
- Monthly optimisation cycle
Best when sales, support and scheduling all need to connect.
Get a Custom QuoteAI Infrastructure
Advanced agents, multiple workflows, deep integration
An operating layer across the business: voice, chat, internal assistants and back-office automation under one architecture.
- Voice, chat and internal agents
- Custom tooling and internal systems
- Complex multi-system integration
- Role-based access and audit trails
- Reliability monitoring and alerting
- Dedicated optimisation programme
Best when automation becomes core operating infrastructure.
Get a Custom QuoteCustom Enterprise Build
Bespoke architecture for regulated, high-volume or multi-entity operations — including security review, data residency requirements, procurement documentation and a defined support agreement.
- Security and compliance review
- Data handling and residency planning
- Phased multi-team rollout
- Defined SLA and support model
Every build is priced by custom quote once scope, integrations and volume are known.
Built to connect with the tools you already run on.
We connect to the kinds of tools a service business already runs on — your phone line, calendar, inbox, CRM and website — through supported APIs and established automation platforms. Each specific product is confirmed during scoping, before the build starts.
- AI language modelsAI
- Business phone linesVoice
- Website chat and formsMessaging
- SMSMessaging
- Email inboxesMessaging
- Team chatMessaging
- CalendarsScheduling
- CRMsCRM
- Spreadsheets and databasesData
- Online storesCommerce
- Payment providersCommerce
- Automation platformsWorkflow
The difference between a bot and a system.
Plenty of people can connect an API to a chat window. Fewer can design something your operation can depend on twelve months from now.
Custom systems, not generic bots
Every agent is designed around your offer, objections and operating rules. Nothing is dropped in from a template library.
Business-first architecture
We start from the commercial outcome and work backwards to the technology, not the other way around.
End-to-end automation
From first contact to CRM record, booking and follow-up — the whole path, not one convenient slice of it.
Handover rules you define
You decide which conversations belong with your team, and the agent passes them on with the conversation so far attached.
Secure integration
Scoped credentials, server-side secrets, least-privilege access and no customer data where it does not belong.
Scalable workflows
Built to absorb volume growth without a rebuild, with monitoring that tells you when something needs attention.
Continuous optimisation
Real conversations are reviewed and the system is tuned. Launch is the start of the work, not the end.
Interfaces people want to use
Considered product design across every surface — the chat window, the dashboard and the internal tools.
Works with your existing stack
Your CRM, calendar, store and inbox stay where they are. Where a tool offers a supported API, we connect it rather than replace it, and confirm each connection during scoping.
Questions worth asking before you build.
If something is not covered here, ask directly — we would rather answer it properly than have you guess.
Want the detail first? Read our guide to AI lead follow-up automation: what it does, where it helps and where a person should take over.
An AI agent is a system that can hold a conversation, decide what to do next and take action in your business tools. It does more than answer: it can look up an order, score a lead, write a CRM record, check a calendar and book a slot — following rules you define.
A chatbot follows a scripted decision tree and stops at the answer. An agent understands intent in natural language, works from your real data and completes the task end to end. If a chatbot tells someone your opening hours, an agent qualifies them, books them in and updates your pipeline.
Usually, yes. We connect through each tool's supported API or through an established automation platform. Common connections are CRMs, calendars, email, phone lines, online stores and internal databases. Every integration is confirmed during scoping, before any build starts.
Routine calls, general enquiries and appointment requests: answering common questions, capturing the caller's details and what they need, booking or requesting a slot and sending your team a written summary. It is not an emergency service and does not replace one.
Yes. Agents read live availability from your calendar, offer real slots, create the booking, send confirmations and run reminder sequences to reduce no-shows. Rescheduling and cancellation flows are included.
Yes, under rules you define: specific topics, deal value or a request to speak to someone. The conversation is passed to your team with the details captured so far. A person being available to take it depends on your own team's hours and setup.
Yes. We build multi-step sequences across email and SMS with defined timing, channel logic and exit conditions, so a prospect stops receiving messages the moment they reply or book.
Usually, yes. Most CRMs, including custom and in-house systems, offer an API we can connect to, and we confirm your specific CRM during scoping. Records are created and updated at conversation time rather than after the fact.
A single focused agent typically takes two to three weeks from discovery to launch. Multi-workflow systems usually run four to eight weeks. Larger infrastructure programmes are phased so value ships early rather than all at the end.
Yes — that is most of what we do. Quoting, onboarding, approvals, document generation, reporting and internal routing are all built around your actual process rather than a fixed template.
Yes. Every engagement includes a launch period with active monitoring, and ongoing optimisation is available. We review real conversations, tune behaviour and extend the system as your business changes.
Yes. Every interface we build is designed mobile-first, and the channels agents operate on — phone, SMS, web chat and email — are where your customers already are.
Yes. Voice agents handle routine inbound and outbound calls in natural speech, capture structured details and take appointment requests. Calls that match your handover rules can be passed to your team with a summary of what was discussed.
Every build is priced by custom quote. The cost depends on the workflows, channels, integrations and volume involved, so we scope the work first and then send a written quote. We do not publish fixed prices.
Yes. Nexra AI works with businesses worldwide, subject to the project being technically feasible and meeting the requirements that apply where you operate, such as phone-number and consent rules. We confirm this during scoping. The website and our work are in English.
Security is designed in. Credentials are stored server-side and never exposed to the browser, integrations use least-privilege scoped access, and we agree data handling and retention rules with you before anything is connected. We can work within your existing security review process.
Build the AI operating layer
for your business.
Turn repetitive work into intelligent systems designed around the way your business actually operates.
Discovery
Free, no obligation
First build
Typically 2–3 weeks
Support
Included at launch