Skip to content
01U.S. Enterprises Only · Delivered from the U.S. and India

Senior engineering, small teams, AI that actually reaches production.

Cloud Security Web is a U.S.-based technology consulting partner delivering Enterprise AI, Cloud, Data, Integration, Security and IT Staffing, with senior expertise and flexible delivery.

We work with CIOs, VPs of IT, Enterprise Architecture and Digital leaders in U.S. enterprises. Leadership and architecture sit in Scottsdale; our own delivery centers in India add engineering capacity behind them.

Headquarters
Scottsdale, Arizona, USA 8:32 AM
Delivery Centers
Hyderabad · Bangalore · Chennai 9:02 PM
Market
U.S. enterprises only
Delivery available in the U.S. and India. Engagement leadership and architecture are U.S.-based.
Who we work with
CIOs · VPs of IT · Enterprise Architecture · Digital
Plus infrastructure, data, security and program leadership on the same initiative.
Platforms we build on
Gemini Enterprise · Azure OpenAI · Anthropic · Snowflake · MuleSoft · Salesforce
Chosen against your use case and the estate you already run.
Systems we integrate
Epic · Cerner · Athenahealth · MEDITECH · SAP S/4HANA
Agents act inside your systems of record, not beside them. S/4HANA via MuleSoft.
02Offerings

Five defined ways in, each with a scope and a timeline.

Start with an assessment or go straight to implementation. Most clients move through them in sequence under one relationship. Every offering is led by a principal architect in the U.S.

01 2–3 weeks
AI Opportunity Assessment

We map your workflows, data and systems, then identify where AI creates measurable business value and where it does not, ranked by value, effort and risk.

You leave with
A shortlist of scored use cases and a recommendation on what to do first
02 4–6 weeks
AI Transformation Roadmap

The prioritized use cases turned into a plan: target architecture, integration approach, governance model, delivery sequence and expected ROI per phase.

You leave with
Architecture, governance model, phased roadmap and a business case
03 8–16+ weeks
AI Agent & Workflow Implementation

We build the selected solution and integrate it into the systems of record it needs to act on, including EHR, ERP, CRM and the data platform, with security and evaluation in scope from day one.

You leave with
A production agent or workflow, test evidence, runbook and go-live sign-off
04 8–16 weeks
Data & Integration Modernization

This is the layer most AI programs stall on, so we build the Snowflake and MuleSoft platforms, the governed data products and the API estate your agents need to reach your systems.

You leave with
A governed data and integration foundation your next three use cases reuse
05 Ongoing
AI Managed Optimization

The team that built it runs it: monitoring, accuracy and cost tuning, model and platform upgrades, and a roadmap for the next initiative.

You leave with
A support model, quarterly performance review and next-phase roadmap

Timelines are typical ranges for a single initiative and are confirmed in scoping. Longer transformation programs combine these offerings under one governance model.

03Engagement Models

Seven commercial models. Move between them without renegotiating the relationship.

How you buy should follow how certain the work is. Advisory and assessment where the problem is still forming; fixed scope once it is defined; managed services and dedicated teams once it is running.

Advisory
Senior architecture and AI strategy counsel on retainer, alongside your own leadership.
Assessment
A bounded diagnostic with a fixed fee and a fixed end date.
Fixed Scope
Defined deliverables, defined price, gates you sign off on.
Time & Materials
For discovery-heavy or evolving work where scope is genuinely open.
Managed Services
Run, monitor and improve what is live, under an agreed SLA.
Dedicated Teams
A standing squad on your roadmap, U.S.-led with engineering capacity behind it.
IT Staffing
Certified architects and engineers embedded in your team on U.S. hours.
Not sure which fits? Bring the initiative and we will tell you which model we would recommend, including when you should not hire anyone at all.
Talk it through
04Capabilities

Six practices behind every offering.

Data comes first because nothing above it works without it; staffing comes last because it is capacity, not a solution. Engage one or all six under one contract.

01 Enterprise AI TransformationAgents designed against real workflows, grounded in your data, shipped with evaluation and governance in place. Pilots that become production systems 02 Data & AI ModernizationSnowflake and Microsoft Fabric platforms that make your data usable by people and reachable by agents. Governed data, ready for AI 03 API & IntegrationMuleSoft and Azure Integration Services connecting ERP, CRM, EHR and custom systems so agents can act, not just answer. Automation across systems of record 04 Cloud & Platform EngineeringAzure and Google Cloud landing zones, Kubernetes and DevOps pipelines built for AI workloads rather than retrofitted for them. A platform that scales with demand 05 CybersecurityIdentity, security operations and AI governance so every agent runs inside your controls. AI you can put in front of an auditor 06 Professional StaffingCertified architects and engineers embedded in your team on U.S. hours, backed by our delivery centers in India. Senior capacity without the hiring cycle
05Why CSW

A smaller senior team beats a large one with a bench.

The alternatives are a large systems integrator, an offshore rate-card vendor, or your own team. Big firms sell you a partner and staff you juniors. We staff the people who scoped the work: fewer of them, all senior, and the same ones through go-live.

Read the full comparison
1
Fewer people, all of them senior

Large integrators win the deal with principals and staff it with juniors learning on your budget. Our teams are small by design. The architect who scoped your work is the one who builds it, and there is no bench to keep utilized.

2
One person is accountable, and you know their name

An engagement lead in Scottsdale, named in the contract, on every steering call. A rate-card vendor gives you a ticket queue; an internal project gives you whoever has capacity that quarter.

3
We built our own product, so we carry the same risk you do

Echopad runs in production inside medical practices under HIPAA-aligned controls. We ship, support and get paged for our own software, at the same standard we apply to yours.

4
The knowledge stays with you

Architecture, runbooks and test evidence are yours at each gate, and the team that built the system is the team that runs it. Nothing critical lives only in one contractor’s head.

How Cloud Security Web compares with a large systems integrator and an offshore rate-card vendor.
Comparison Large systems integrator Offshore rate-card vendor Cloud Security Web
Who actually does the work Principals sell it; a large mixed-seniority team delivers it. Whoever is available on the bench that month. A small senior team, named at proposal, unchanged through go-live.
Who is accountable for the outcome An engagement partner across several accounts. A delivery manager in another time zone, measured on hours billed. A named engagement lead in Scottsdale, in the contract, on your hours.
Getting to the first production agent Long mobilization, heavy process before anything ships. Fast to start, slow through integration and security review. A 2–3 week assessment, then build against an architecture you signed off.
Integration into systems of record Capable, priced as a separate workstream. Usually scoped as change requests once the work is underway. A named practice covering EHRs and SAP S/4HANA via MuleSoft.
Security and AI governance Strong, and billed at the same scale as everything else. Typically addressed after go-live, when the audit asks. Scoped at the start, tested before deploy, documented at each gate.
What it costs you Premium rates across a large team and a long ramp. Low hourly rate, high rework and management overhead. Senior capacity you scale up and down inside one relationship.

Generalized from engagements where clients evaluated more than one route. Your situation may differ. If your own team is the right answer, we will say so on the call.

06Platforms

Deep on six platforms, not shallow on twenty.

You keep the cloud and the licenses you already run. We concentrate our architects on the stack our clients actually buy, then integrate into the EHRs and SAP S/4HANA estates behind them.

Google Gemini Enterprise
Agents grounded in Workspace and enterprise data, with retrieval that respects existing access controls.
Azure OpenAI
GPT models and agents inside your Microsoft estate, under your tenant and network controls.
Anthropic Claude
Claude agents with tool use into your systems of record, for long-context and document-heavy work.
Snowflake
The governed data foundation agents query, with data products, access policies and usable lineage.
MuleSoft
The API layer that lets agents act: EHRs, SAP S/4HANA, CRM and custom systems.
Salesforce
Service and revenue workflows automated where your customer record already lives.
Integration focus: Epic, Cerner, Athenahealth and MEDITECH on the healthcare side; SAP S/4HANA via MuleSoft on the enterprise side.
07Industries

Healthcare first. Financial services second.

Two industries where we have built the integrations, met the regulators and shipped our own product, plus sectors we have delivered in without claiming depth we do not have.

Primary focusHealthcare Clinical documentation, referral intake and payer analytics. We own and operate Echopad, our own HIPAA-aligned platform, and integrate with Epic, Cerner, Athenahealth and MEDITECH. Secondary focusFinancial Services Data modernization, model governance and secure cloud platforms for banks, lenders and insurers, with the evidence trail regulators ask for.
Also delivered in Manufacturing Banking Public Sector
Our Product · Echopad

We don’t only consult on healthcare AI. We own a platform and run it in production.

Echopad is our own HIPAA-aligned AI agent platform for medical practices, covering clinical documentation, referral intake and payer analytics. It integrates with Epic, Cerner, Athenahealth and MEDITECH, so practices keep the EHR they already run. It is also the clearest evidence of how we build for clients: same architects, same security bar, same on-call.

AI Scribe
Clinical transcription and notes at the point of care.
Chartavox
Transcripts to formatted SOAP notes and discharge summaries.
OpenInlet
Multi-source referral intake and tracking, including eFax.
Echopad Insights
Payer underpayment benchmarking from public MRF data.
The product itself
The Echopad AI site showing the OpenInlet referral dashboard: 56 referrals sent, 17 active, an 85% acceptance rate and a 72-hour average turnaround.
The Echopad suite: Chartavox, OpenInlet, AI Scribe, Echopad Insights and Echopad Reach.
Real screens, not diagrams. A CIO deciding between building this and hiring us will look here first.
08Proof

Our client agreements keep names private. So we put you on a reference call instead.

Every engagement runs under an MSA that prevents us from publishing client names, which is the same protection you get. Here is what we can describe: the sectors, the shape of the work, and a direct call with a client who has agreed to take one.

Healthcare
Multi-state provider groups and behavioral health networks. Documentation, referral intake and payer analytics.
Manufacturing
ERP and plant-system integration across sites, with supply and quality visibility.
Banking
Data platform modernization and governed analytics under existing risk controls.
Public Sector
Legacy modernization and secure cloud under public-sector procurement requirements.
What we can offer today
A reference call, not a case study.

We will walk you through comparable engagements in detail, verbally, under NDA where needed, and introduce you directly to a client. Names, figures and quotes appear on this page only once the client has cleared them in writing.

Ask for a reference
Sector Behavioral health, multi-state provider group
The problem Referral and documentation work spread across systems that did not talk to each other, with clinician time going to admin instead of patients.
What we built AI agents for clinical documentation and referral intake, integrated with the EHR and existing intake channels, inside the client’s compliance controls.
Engagement model Assessment, then fixed-scope implementation, now managed optimization.
What we can share now The engagement in outline and a direct reference call. The client name and measured outcomes publish once cleared in writing.

Bring one initiative. Leave with an architecture sketch and a 90-day plan.

A 45-minute working session with a principal architect, not a sales call. No deck and no discovery questionnaire. If your own team should build it, we will tell you that.

Schedule a Discovery Call
Or email info@cloudsecurityweb.com