The software had gone live. That was the beginning of the trouble. In Inclusion Cloud’s account of an Oracle support assignment in Puerto Rico, a food and beverage operation had a plant, five warehouses, and inventory records that no longer agreed. Warehouse procedures, system connections, and transportation workflows all needed attention. Remote troubleshooting had limits. Someone needed to walk the floor.
Inclusion Cloud says it put an Oracle specialist on-site in less than 48 hours. The assignment involved reconciling inventory, correcting receiving procedures, and configuring business scenarios the existing setup did not support. The interesting detail is the mixture: part software problem, part operating problem. A warehouse does not care which department owns the mistake.
- The business: engineers and delivery teams for enterprise software, cloud, data, and AI.
- The hook: a claimed 72-hour specialist delivery window, with human screening after AI matching.
- The useful distinction: adding a developer and assigning responsibility for a finished system are different purchases.
The warehouse after go-live
That awkward space between installation and usefulness is a good place to understand Inclusion Cloud. Founded by Mariano Baca-Storni in 2007, the Dallas-based company supplies technical specialists and builds software for organizations whose existing systems cannot simply be swept off the table. Its work reaches into enterprise resource planning, customer management, data infrastructure, and the applications employees actually use.
Oracle, SAP, Salesforce, and ServiceNow are central to its positioning. It implements, connects, migrates, and supports those platforms. Cloud and data engineering sit alongside custom development. For a buyer, the attraction is access to people who understand a particular technology and can fit into an existing operation. Nearshore delivery also offers working-hour overlap with U.S. teams. An October 2026 guide to SAP Business Technology Platform continues that emphasis, discussing application extensions, integration, and automation around systems the customer already runs.
The company’s footprint extends beyond one specialist flying to one warehouse. Public customer accounts include Roche, Oracle, and Gilbarco Veeder-Root; its case library ranges from financial workflows to industrial inventory. Inc. placed Inclusion Cloud at No. 323 on its 2024 Inc. 5000 list. That recognition establishes a growth milestone. The projects explain what people were buying.
A screen you can use in gloves
Consider steel pipes. In Inclusion Cloud’s Tenaris case study, counting them manually was slow and error-prone. The solution used images captured on mobile devices, AI recognition, QR codes, and integration with Oracle ERP. The application could retain data without a connection and synchronize later. Its interface accommodated gloves and changing light conditions.
The gloves are worth pausing over. They tell you who the software was for. A demonstration on a clean laptop would miss an essential requirement of the job. Offline operation matters for the same reason: the workflow had to continue when the network did not. Here, useful AI included a camera, a database connection, and attention to someone’s hands.
Counting pipes. Removing friction.
Inclusion Cloud reports counting speed increased 65% and manual errors fell 75%. Those figures belong to its case study. The transferable idea is more modest and more useful: identify the physical constraints before deciding what to automate. The best model in the purchasing discussion may still need a button big enough to press.
A Goodyear assignment makes the same point in a finance department. Inclusion Cloud describes connecting SAP ERP to Argentina’s fiscal authority for electronic credit invoices and tax reporting. A financial monitor let users approve or reject invoices and calculate totals. The work concerned a specific administrative bottleneck, with a defined decision left to the user. That is a much clearer starting point than an open-ended request for innovation.
The interview after the answer
The same concern with real conditions appears in recruiting. In January 2026, Inclusion Cloud explained why it had reworked its hiring approach: AI made convincing technical answers easier to produce, while actual understanding became harder to establish. A candidate could submit something that worked without being able to explain its architecture or consequences.
“Anyone can generate working code.”
Pablo Bucci / Recruiting Lead, Inclusion Cloud
Its response, inMOVE, combines automated matching with credential and behavioral checks, then live interviews led by senior engineers. The company advertises specialists in as little as 72 hours. Read that as a staffing claim. System access, client decisions, onboarding, and delivery still have to happen. The technical interview is supposed to establish whether the person can reason beyond the polished answer.
- 01MatchAI-assisted discovery
- 02ValidateCredentials and communication
- 03QuestionLive technical reasoning
Who owns Monday morning?
Inclusion Cloud sells several answers to that question. Staff augmentation adds specialists to a client’s team. Dedicated teams provide a coordinated group. Product development gives the provider responsibility across a project’s development process. Choosing among them means deciding how much management capacity the buyer already has, as well as which skills are missing.
Its newer AI Pods combine senior practitioners, agents, and reusable workflows around a defined initiative. Engineers direct the work and review critical results; agents handle suitable execution tasks. That is a proposed change in delivery structure, with supervision built into the offer. Buyers should ask which outputs require approval, who handles exceptions, and how completion will be judged.
Price still matters. Clutch lists a $25-$49 hourly range and a $25,000 minimum project size. These are directory indications, not a quote. Customer feedback also exposes the buyer’s contribution: one Gilbarco reviewer said job descriptions needed refining to improve recruitment. A faster search does little for a brief that describes the wrong job.
Its stated culture emphasizes teamwork, accountability, and caring alongside technical standards. Those promises have an operational test: an outside engineer must communicate with the people already there. Shared working hours are useful only if questions get answered and decisions have somewhere to go.
The alternatives include internal hiring, specialist platform consultancies, and larger engineering outsourcers. Inclusion Cloud’s case rests on combining recruiting, platform knowledge, and delivery choices. That combination suits an organization with a concrete workflow to improve. It becomes harder to evaluate when the goal is simply to “do AI,” without an owner, usable data, or an agreed result.
The practical lesson is wonderfully ordinary. Specify the work. Test the reasoning. Keep someone responsible for the handoff. And before approving the application, find out whether the person using it will be wearing gloves.