Cloudify USA Corporation. Built by operators, not theorists.

Your lead follow-up, invoice processing, and weekly reporting. Done by agents. Run by us.

Cloudify designs, deploys, and operates autonomous agents inside the systems you already run: CRM, email, ERP, ticketing, data warehouse. First agent live in [TIMELINE]. No new software for your team to learn. No engineering team for you to hire.

Not affiliated with Cloudify Ltd., the cloud orchestration platform. We are a US company that builds and operates business agents.

Operations boardToday
  • HSHubSpot
    Completed2 min ago

    Replied to inbound lead, created CRM contact, booked Tuesday 10:15

  • OLOutlook
    Completed6 min ago

    Extracted invoice #4471, matched PO, routed to AP for approval

  • NSNetSuite
    Completed14 min ago

    Pulled weekly pipeline from 4 systems, drafted Monday report

Your competitors are not waiting for the pilot to finish.

23%

of companies are already scaling an agentic AI system somewhere in the business. Another 39% have begun experimenting with agents.

McKinsey, The State of AI 2025

58%

of a knowledge worker's day goes to coordination work rather than the job they were hired to do.

Asana, Anatomy of Work Global Index 2023

21x

drop in the odds of qualifying an inbound lead when you respond in 30 minutes instead of 5. The average firm takes 42 hours.

MIT/InsideSales Lead Response Management Study (2007); Oldroyd, McElheran and Elkington, Harvard Business Review (2011)

The gap is not the model. It is who runs the operation. Most companies scaling agents are doing it in only one or two functions. The ones who go first in a category set the service level everyone else gets measured against.

You know exactly which work is eating your team. You just cannot hire your way out of it.

The lead that came in Friday at 5:40 pm.

Nobody touched it until Monday. It bought from someone else on Saturday.

The invoice that sat in a shared inbox for nine days.

Three people looked at it. Nobody owned it. The vendor called your CEO.

The Monday report that takes a senior analyst all of Friday.

Four systems, eleven tabs, one spreadsheet. Wrong by Tuesday.

The support ticket that bounced between three queues.

The customer explained the problem three times and churned on the fourth.

This work is high-volume, rule-heavy, and full of exceptions. Too messy for a Zapier flow. Too repetitive to keep paying people to do. That is exactly the work agents are built for.

Four agents. Four kinds of work that stop landing on your team.

Sales follow-up agent

Before

Reps follow up when they remember. First touch is measured in hours or days.

After

Every inbound lead gets a personalized reply, a CRM record, and a meeting offer within 5 minutes, 24/7. Hot leads route to a human with context attached.

Outcome

More qualified conversations from the same ad spend.

See the full use case

Document processing agent

Before

Invoices, contracts, and intake forms land in an inbox. Someone reads, keys, files, and chases approvals.

After

The agent reads the document, extracts the fields, checks them against your ERP, routes exceptions to the right person, and files the rest.

Outcome

Days of cycle time removed. Exceptions become the only thing people touch.

See the full use case

Reporting agent

Before

Weekly and board reporting is a person pulling from four systems into a spreadsheet.

After

The agent pulls the numbers, writes the narrative, flags what changed and why, and delivers it before the meeting. Every figure traces to its source.

Outcome

Senior time returned. Numbers that agree with each other.

See the full use case

Customer operations agent

Before

Tickets get triaged by whoever is online. Escalations depend on tribal knowledge.

After

The agent classifies, pulls account history, resolves the routine, drafts a response for review on the rest, and escalates with a full summary.

Outcome

Faster first response, cleaner handoffs, fewer repeat contacts.

See the full use case

Discovery to live agent in three steps.

  1. 01

    Map the work (two weeks)

    We sit with your team and document the real workflow, including the steps that live outside the official process. You get a ranked opportunity map and an exception playbook: what breaks, who decides, what stays with a person. The scan stands alone. No obligation to continue.

  2. 02

    Build and deploy

    We build the agent, connect it to your CRM, ERP, email, ticketing, or warehouse, and run it on real tasks in a controlled scope before it touches customers. Live in [TIMELINE].

  3. 03

    Operate and improve

    We monitor every output, score it against your standards, and turn every miss into a new rule or test. You see outcomes. We run everything underneath.

Read the full method

One agent layer across the systems you already run. Nothing to rip out.

CRM
SalesforceHubSpotDynamics 365
Email and messaging
Microsoft 365Google WorkspaceSlackTeams
ERP and finance
NetSuiteDynamics 365 Business CentralSAPQuickBooks
Ticketing
ZendeskServiceNowJiraIntercom
Data
SnowflakeBigQueryMicrosoft FabricDatabricks

If it has an API or an inbox, an agent can work in it.

Three ways to get agents. Only one comes with someone accountable.

Build it yourself (Zapier, n8n, Copilot Studio)

Who builds it
You
Who runs it at 2 am
You
When it breaks
You debug
Who owns the knowledge layer
The vendor
Accountability
Nobody

Hire an AI agency

Who builds it
They do
Who runs it at 2 am
Nobody
When it breaks
Change order
Who owns the knowledge layer
The agency
Accountability
Ends at handoff

Cloudify

Who builds it
We do
Who runs it at 2 am
We do
When it breaks
We fix it, then write a rule so it does not recur
Who owns the knowledge layer
You, on open infrastructure
Accountability
One point, ongoing
Gregory Scott Henson, Founder of Cloudify
Founder

Gregory Scott Henson

Gregory Scott Henson built Henson Group from a one-bedroom Manhattan apartment into the #1 Azure CSP globally, reaching $70M ARR with zero outside funding. In 2025 he architected its merger with myCloudDoor to form ALIANDO, a $120M ARR Microsoft partner, where he serves as Chairman of the Board. He has spent 20+ years running enterprise technology operations, not writing about them.

[PARTNER_COUNT] Microsoft Partner of the Year (Henson Group)EY Entrepreneur of the Year (Henson Group)ex-Microsoft
Microsoft logoGoldman Sachs logoDisney logoNFL logoEquinox logoMovado logoTiffany & Co. logo

Where the founder's prior companies delivered. Results and brands from Henson Group and Microsoft Consulting Services, not Cloudify clients.

We turn down projects when we cannot name the workflow that will measurably improve.

Simple, Outcome-Based Pricing

Single Agent Pilot

Deploy one high-impact workflow into production.

$15,000
one-time setup
$2,500 / month maintenance
  • 1 custom autonomous agent workflow
  • Integration with up to 3 existing systems (CRM, email, database)
  • Company Brain grounding & guardrails
  • Full monitoring, tuning, and prompt maintenance
Book a workflow review
Most Popular
Agent System

Full multi-agent orchestration for a complete department.

$35,000
one-time setup
$6,500 / month maintenance
  • System of up to 4 specialized agents
  • AI Manager, AI Judge, and Improvement Manager loop
  • Deep CRM, ERP, and communication tool integration
  • Dedicated uptime SLA, output scoring, and weekly optimization
Book a workflow review
Enterprise System

Custom multi-agent operations across your enterprise.

Custom Quote
  • Unlimited agent workflows & custom company brain build
  • Hardened security, audit trails, and support for your SOC 2 requirements
  • On-premise or custom deployment options
  • Dedicated account engineer & 24/7 monitoring
Book a workflow review

No hidden token billing. Monthly maintenance covers model usage, vector database hosting, continuous scoring, and ongoing system tuning.

Frequently Asked Questions

Bring us one painful workflow. We will show you the agent that takes it.

Book a 30-minute workflow review. We will tell you whether the work is a fit, what it would take, and what it would cost. If it is not a fit, we will say so on the call.

The two-week AI-First Scan stands alone. You keep the workflow map, the exception playbook, and the opportunity ranking whether or not you continue.