We automate your work.

AI automation

Proof.

Each system fitted a specific bottleneck. Results came from work removed, not from AI adopted as a slogan.

Travel operationsHouse of Travel and Tourism

Booking support that keeps moving after hours.

Inquiries, itinerary questions, and scheduling advance while the team stays with travellers.

Response time
94% faster
Bookings captured
+52%

Healthcare technologyScribeberry Ltd

Documentation stops following clinicians home.

Transcription, data entry, and reporting run without another administrative shift.

Tasks automated
89%
Annual savings
$95k

Real estateProperty agency

Qualified demand reaches the calendar.

Visitors get answers, qualification, and a booked showing without waiting on an agent’s inbox.

Weekly showings
40+
Lead conversion
68%

FitnessAlpha Pro Training

Paid acquisition that fills the floor.

Campaign structure, creative, and landing flow rebuilt so ad spend brings members in instead of burning budget.

ROAS
+140%
New leads / week
3–5
CPC
88% lower

E-commerceShopify store

SEO and PPC that keep improving overnight.

Custom AI agent runs search and paid campaigns 24/7 — keyword moves, bid tweaks, and creative tests with automatic improvements built in.

Organic traffic
+67%
Ad efficiency
+41%
Hours saved / mo
30+

Healthcare SaaSSoftware development

Sprints that move without the drag.

AI workflows for tickets, specs, QA handoff, and release prep so the engineering team ships product instead of chasing process.

Sprint cycle time
85% faster
Backlog throughput
+2.4×
Manual process hours
−60%

The useful metrics are response time removed, capacity returned, cheaper acquisition, and revenue no longer missed.

What we build for the jobs people actually hold.

Custom AI agents, automation, and web systems mapped to the roles that still run on inboxes, spreadsheets, and late nights. All services · By role.

Business process automation

Any role still doing work by hand

If it is repetitive, rule-based, and stuck in email or sheets, we map it, build it, and put it in production.

We study the work before we automate it.

Short path from operational friction to a maintained system. No transformation programme for its own sake.

Observe

Map the drag

We follow the handoffs, exceptions, tools, and decisions that make the process expensive.

You get an opportunity map

Build

Fit the system

We build around your rules, infrastructure, voice, and escalation paths, not a generic demo workflow.

You get a working system

Run

Prove and refine

We deploy, watch real use, tune weak spots, and leave human judgment exactly where it belongs.

You get measured return

What repetition costs before anyone budgets it.

Set three numbers for one workflow. The ledger estimates monthly drain and what you could recover once the busywork is handled.

Model one role and the hours it loses to automatable work.

$4,000
25 hrs
2

Quoted by scope.

We price after we understand the process, the depth of integration, and the operational risk. You see a clear build plan before you commit.

  1. 01
    Workflow mappingPrioritized by value and feasibility
  2. 02
    System design + buildCustom logic, tools, and voice
  3. 03
    Existing-tool integrationInside the stack your team already uses
  4. 04
    Deployment + monitoringMeasured in the real workflow
  5. 05
    Human escalationClear recovery for every edge case

Typical first systems go live in 2–4 weeks.

Security, scope, and handoff.

The practical details that decide whether automation belongs in your operation.

Your data stays yours. We work inside your infrastructure and security rules. Nothing leaves your environment unless you approve it.

Custom. Every system is shaped around your workflow, tools, controls, and brand voice. Pricing follows scope instead of software tiers.

It escalates. Edge cases hand off to the right person with full context, using thresholds and rules you define with us.

Most first systems are live in 2–4 weeks. Complex integrations take longer; the scoped plan makes that visible before the build starts.

We do. We monitor performance, refine from real use, and evolve the system as your process changes.

Straight answers.

Self-contained facts about what Hazvex does, how long it takes, and how this differs from generic tools.

What does Hazvex automate?

Hazvex builds custom AI agents and automation for internal company work: operations handoffs, marketing and paid media ops, payroll prep, accounting follow-up, customer support tier-1, sales CRM hygiene, HR onboarding, and other rule-based processes stuck in email or spreadsheets. Each system is fitted to the client’s tools, rules, and escalation paths. Deliverables are production systems with monitoring, not slide decks or one-off demos. Engagements start with workflow mapping so the first build targets a measurable bottleneck.

How long does a first Hazvex system take?

Most first systems go live in two to four weeks after scope is agreed. Timeline depends on integration depth, data access, and how many edge cases need human handoff rules. Clients receive a build plan before commit so duration and risk are visible up front. Complex multi-system programmes take longer; the scoped plan states that before work starts. After launch Hazvex monitors performance and refines from real use.

How is Hazvex different from ChatGPT or Zapier?

ChatGPT is a general chat interface. Zapier connects apps with fixed triggers. Hazvex designs and builds custom agents around a specific operational process: your brand voice, approval rules, tool stack, and escalation when automation should stop. Pricing follows project scope, not software seats. The goal is hours returned inside the business and fewer missed handoffs, measured in the live workflow after deployment.

Bring us the work everyone avoids.

In one call we will say whether it is worth automating and what a sensible first version looks like.