Key Takeaway
Enterprise AI adoption is near universal. Enterprise AI impact is not: nine in ten organizations use AI somewhere, yet fewer than four in ten see profit impact. BinaryWorks is at Ai4 2026, August 4 to 6, The Venetian, Las Vegas, Booth 1363, running booth sessions and offering a free AI Transformation Audit. Sign up at the booth for a chance to win a free iPad.
BinaryWorks is an AI consulting agency that takes enterprise AI from strategy to production: AI roadmaps, LLM development, AI agents and automation, and the data foundations underneath. From August 4 to 6, 2026, our team is at Booth 1363 at Ai4 2026, The Venetian Resort, Las Vegas.
We are going for one reason. The hardest problem in enterprise AI in 2026 is no longer capability. It is production.
Event
Ai4 2026
Dates
August 4 to 6, 2026
Venue
The Venetian Resort, Las Vegas, Nevada
BinaryWorks Booth
1363
At the Booth
Free AI Transformation Audit, live booth sessions, chance to win a free iPad
Our Attendees
Sathish Kumar Mariappan, CEO (background as Chief AI Architect); Karthik Kalimuthu, CTO; Shawn Post, VP
What is AI4 2026?
Ai4 is America’s largest AI conference and, since 2018, the main annual gathering point for leaders working on applied AI. Ai4 2026 runs August 4 to 6 at The Venetian with more than 1,000 speakers across AI agents, generative AI, RAG, evaluation and observability, AI governance, and AI ROI. The lineup includes Geoffrey Hinton, Fei-Fei Li, Andrew Ng, and Tim O’Reilly, plus executives from Uber, Cisco, PayPal, and Mayo Clinic.
Why Does Ai4 2026 Matter Right Now?
The question has changed from what this technology can do to why so little of it has reached production.
That shift is measurable. In McKinsey’s State of AI survey, 88% of organizations regularly use AI in at least one business function and 62% are experimenting with AI agents. Yet nearly two-thirds have not begun scaling AI across the enterprise, and only 39% attribute any EBIT impact to AI, most of them under 5%.
Ai4 is one of the few venues where that gap gets discussed honestly, by people carrying real budgets.
Why Do Most Enterprise AI Projects Stall Before Production?
Three patterns account for most stalled AI programs. None are model problems.
1. The use case was never scoped to a business outcome
Gartner predicts that more than 40% of agentic AI projects will be canceled by the end of 2027, citing escalating costs, unclear business value, and inadequate risk controls. Model capability is not on that list. A better model does not rescue a project with no owner and no agreed definition of “working.”
2. The data foundation was not ready for autonomy
A chatbot can tolerate messy data. An agent that takes action cannot. Once it has to read a system of record, respect permissions, and write back a result, every gap in data quality, lineage, and access control becomes an operational incident rather than a bad answer. Data engineering and governance, not model choice, usually sets the ceiling on an AI roadmap.
3. The workflow was never redesigned
Bolting AI onto an unchanged process produces a faster version of the same bottleneck. McKinsey’s high performers redesign workflows around the capability, and are far more likely to have defined human in the loop validation, 65% versus 23%.
What Separates the Organizations Getting Real AI Value?
The ones succeeding share four habits:
Fewer use cases, properly instrumented. One workflow with a baseline, a target, and an owner beats twelve pilots with none.
AI quality treated as a reliability discipline. Evaluation and monitoring built in from day one, not after the first incident.
Data fixed before agents scale. Governance, lineage, and access control are prerequisites, not follow ups.
Oversight designed in. Escalation paths, audit trails, and a human with authority to stop the system.
That is the operating model behind our AI strategy and AI agents work, and what we will be discussing at Booth 1363.
What Is BinaryWorks Offering at Booth 1363?
Free AI Transformation Audit
Every attendee who stops by Booth 1363 can claim a free AI Transformation Audit, a structured review rather than a pitch:
- Use case portfolio: which initiatives will reach production, and which are burning budget without a path.
- Data and platform readiness: the gaps that will block agentic deployment.
- Workflow and governance fit: where oversight and escalation need designing in.
- ROI instrumentation: what to measure so AI value is defensible to the board.
You leave with a prioritized list of gaps and next steps, no obligation. Sign up for the free audit at Booth 1363 and get a chance to win a free iPad.
Booth Sessions at Ai4 2026
Short, practical sessions at Booth 1363. Walk-ins welcome.
Find Us at Booth 1363
Stop by Booth 1363 for your free AI Transformation Audit, or book a time in advance. Details on our Ai4 2026 event page.
Frequently Asked Questions
What is Ai4 2026 and when is it?
Ai4 2026 is America’s largest AI conference, held August 4 to 6, 2026 at The Venetian Resort in Las Vegas, convening executives, technology leaders, researchers, and startups across tracks covering AI agents, generative AI, infrastructure, and governance.
Where is BinaryWorks at Ai4 2026?
BinaryWorks is at Booth 1363 for all three days, August 4 to 6, 2026. CEO Sathish Kumar Mariappan, CTO Karthik Kalimuthu, and VP Shawn Post are onsite.
Why do most enterprise AI projects fail to reach production?
Most fail for organizational rather than technical reasons. Gartner attributes projected agentic AI cancellations to escalating costs, unclear business value, and inadequate risk controls, not model capability. The recurring causes are use cases scoped without a measurable outcome, data that cannot support autonomous action, and workflows never redesigned.
What is agent washing, and how do you avoid buying it?
Agent washing is the rebranding of chatbots, assistants, and robotic process automation as agentic AI without the underlying capability. Gartner estimates only around 130 of the thousands of vendors making agentic claims build anything that merits the label. The practical test is whether the system can plan across steps, call tools, recover from failure, and be audited afterwards. If a demo cannot show a failed run, it is scripted automation.
How should enterprises measure ROI on AI?
Measure at the workflow level before the enterprise level. Set a baseline for cost, cycle time, or quality on the process before deployment, then track the same metric after. Enterprise-wide AI ROI claims are hard to defend because most organizations skip the baseline. McKinsey found only 39% attribute any EBIT impact to AI, most under 5%.
What does BinaryWorks do as an AI consulting agency?
BinaryWorks is an AI consulting and engineering partner that helps enterprises move AI from pilot to production. Services span AI strategy and consulting, LLM development, AI agents and automation, generative AI development, and the data engineering, cloud, and governance foundations underneath.
See you at Booth 1363, August 4 to 6.
Book a Time in Advance