Built by operators, not theorists. 20 years scaling enterprise tech.
Your first AI agent in
production in 30 days.
We are not an AI consultancy. We are not a chatbot vendor. We are your agent operations department. Cloudify designs, deploys, and operates autonomous agents that do real business work across sales follow-up, documents, reporting, and customer operations.
SocialPost.ai runs on six humans and more than 500 agents. That is the founder's own company, and it is the standard we build toward for clients.
Proven at scale
Where our team has delivered, across prior companies
Featured in
Results and brands from the founder's prior ventures, Henson Group and Microsoft Consulting Services. Not Cloudify clients.
You know what you want.
You also know what you can't rip out.
You want agents.
Not chatbots. Agents that do real work across sales follow-up, documents, reporting, and operations. Every leadership team we talk to wants this now.
You want a company brain.
One place that knows your customers, your deals, and your history. No more copying and pasting between eleven tabs. No more answers trapped in someone's head.
You can't get rid of your SaaS.
Your CRM, your help desk, your ERP. Years of data and, more importantly, years of habit. Your team knows those tools. Ripping them out is a two-year migration nobody wants.
The lock-in was never your data. It was your team's habits. You don't have to break the habits to go AI-first. You build the intelligence layer on top.
The agent worked in the demo and broke in production. It forgot the deal details. Nobody could say why. The saved instructions did not stick. That is not a model problem. It is an orchestration and memory problem, and it is the problem we solve. Going AI-first is not a tooling decision. It is an operating model, and it needs an operator.
Where real work is too messy for generic AI.
We look for high-volume workflows with judgment, exceptions, and handoffs. If the work can be mapped, governed, and measured, agents can run it.
Sales Operations
Lead follow-up, CRM hygiene, quote generation, pipeline reporting, renewal chasing.
Customer Operations
Ticket triage, support escalations, onboarding sequences, churn-risk follow-up.
Document Processing
Contract intake, invoice processing, proposal drafting, compliance paperwork.
Finance & Back Office
Reconciliation, exception review, collections follow-up, expense processing.
Reporting & Intelligence
Board reporting, KPI rollups, competitor monitoring, exec briefings that write themselves.
Recruiting & People Ops
Candidate screening, interview scheduling, onboarding checklists, policy Q&A.
The AI-First Method. Five steps,
each with a deliverable.
Agents work after the operation is legible: mapped, governed, measured, and owned. Here is how we get you there.
AI-First Scan.
Two weeks embedded with your team. We inspect the real workflow, not the org chart version of it, and find where time and money leak. We name the one workflow where an agent pays for itself fastest, not the most interesting one. The scan stands alone. No obligation to continue.
A ranked opportunity map tied to a business case. Two weeks.
Workflow Map.
We document handoffs, roles, systems, approvals, and decisions. Including the work that happens outside the official process, because that is where most of the hours hide.
A workflow map, including the steps that live outside the official process.
Exception Playbook.
We classify what breaks, who decides, what evidence is needed, and which decisions stay with a human. This is what separates agents that work in production from agents that work in a demo.
An exception playbook. What breaks, who decides, what evidence is required, which decisions stay with a person.
Build & Deploy.
We build your company brain and deploy agent teams on the ranked opportunities. Pilot to production in weeks. You see output on real tasks before you scale. The agent goes live in 30 days, integrated into your CRM, email, ERP, ticketing, or warehouse. Working, not demoed.
A deployed agent system and your company brain.
Run & Improve.
Monitoring, guardrails, scoring, tuning. Every miss becomes a new rule or test. Your agents get better every month instead of drifting. You get outcomes. We run everything underneath.
An operation we run. Monitoring, scoring, guardrails, and tuning every month. One point of accountability.
We turn down projects when we cannot name the workflow that will measurably improve.
One accountable system, not a pile of tools.
This is the machinery behind an AI-first company. We build all of it and run all of it.
Coordinated. Grounded. Scored. Improved.
Agent Teams
Specialized agents that hand off work to each other. Each agent does one job well instead of one agent doing everything badly.
The AI Manager
A manager agent routes every task to the right agent and pulls the right knowledge from your company brain. The correct context loads on every task, not only when someone remembers to ask for it.
The Company Brain
Your knowledge, grounded in your values and current goals. It knows what stays true and what expires, so agents stop answering from outdated or tribal data. It lives where your team already works, inside Claude, Slack, email, and your CRM.
The AI Judge
Every output gets scored against your standards before it reaches a customer or a decision. Low-quality work gets caught and corrected, not shipped.
The Improvement Manager
Failures become fixes. The system turns every miss into a new rule or test, so your agents get better over time instead of drifting.
Integration
One agent layer across the systems you already run. CRM, email, ERP, ticketing, and data warehouses. No new app for your team to adopt.
Your company brain shouldn't live inside someone else's black box.
Every company building AI right now is choosing where its institutional knowledge lives, whether they realize it or not. The easy button (OpenAI, Anthropic), your existing SaaS (Salesforce, HubSpot, Notion), and closed AI startups all end the same way: your workflows and history get locked inside infrastructure you don't control, and moving it later is closer to a one-way door than a CRM export. Cloudify builds your company brain on open infrastructure (Mem0, Zep, Letta, Obsidian) that we run for you but you own outright. If we're ever not the right partner, you take the brain with you.
This is not a Cloudify product. It's the open-source stack, managed. You own every piece of it.
- LangGraph
- CrewAI
- OpenAI Agents SDK
- Microsoft Agent Framework
- Mem0
- Zep and Graphiti
- Letta
- Obsidian
- LangSmith
- Langfuse
- Arize
- Braintrust
We use the right ones for your stack, or build past them, and run the whole thing. You get a working result and one point of accountability.
Gregory Scott Henson, Founder
Built on operating experience, not theory.
Cloudify was founded by Gregory Scott Henson, who built Henson Group from a one-bedroom NYC apartment into the #1 Azure CSP globally with zero outside funding, then architected its merger into ALIANDO at roughly $120M ARR.
Simple, Outcome-Based Pricing
Deploy one high-impact workflow into production.
- 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
Full multi-agent orchestration for a complete department.
- 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
Custom multi-agent operations across your enterprise.
- Unlimited agent workflows & custom company brain build
- Hardened security, SOC 2 compliance, and audit trails
- On-premise or custom cloud infrastructure deployment
- Dedicated account engineer & 24/7 monitoring
No hidden token billing. Monthly maintenance covers model usage, vector database hosting, continuous scoring, and ongoing system tuning.
Frequently Asked Questions
What is an AI-first organization?
An AI-first organization runs its core workflows through autonomous AI agents by default, with people handling judgment, exceptions, and escalation. The work is mapped, the exceptions are written down, the knowledge lives in a company brain the agents read from, and every output is scored before it ships. It is an operating model, not a tool purchase.
What is a company brain?
A company brain is the grounded knowledge layer your AI agents read from. It holds your customers, deals, policies, decisions, and history, with rules about what stays true and what expires, so agents stop answering from outdated or tribal data. We build yours on open infrastructure such as Mem0, Zep and Graphiti, Letta, and Obsidian, and you own it outright.
How much does it cost to deploy AI agents?
A single agent pilot is $15,000 to build and $2,500 per month to operate. A full agent system for a department is $35,000 to build and $6,500 per month to operate. Enterprise deployments are quoted. Monthly fees cover model usage, vector database hosting, continuous scoring, and ongoing tuning, with no separate token billing.
What happens to our company brain if we stop working with Cloudify?
You keep it. Your company brain runs on open infrastructure, not a closed Cloudify-only system. We build it and run it, but nothing is locked inside a black box only we can open. If we're not the right partner anymore, you take the brain with you.
Do you replace people with agents?
No. We design for humans in the loop. Agents handle the routine execution, the follow-ups, the drafts, the chasing. Your people handle judgment and escalation. We classify which decisions stay with a person before we automate anything.
How long does it take?
The AI-First Scan is two weeks. Most first deployments ship in six to twelve weeks depending on scope, with runbooks and handover included.
What is included in the AI-First Scan?
Two weeks embedded with your team. A workflow map, an exception playbook, and a ranked opportunity map tied to a business case: what to automate, what to assist, what to monitor, what to leave alone. The scan stands alone. No obligation to continue.
Bring us one painful workflow.
We'll make it AI-first.
Two-week AI-First Scan. A ranked opportunity map. A deployed system your team does not have to babysit.