Bytes4AI
AI agents you can see, stop and trust.
Most teams can watch their agents. Far fewer can stop one. We help close that gap.
The governance-containment gap
58% of organizations continuously monitor their AI agents; only 40% can quickly stop one that misbehaves.
Source: Kiteworks, 2026 Data Security Forecast (self-reported survey).
Our product · early
TejasLand: mission control for autonomous engineering.
Agents build, an independent agent checks, and every change leaves evidence. It is an early product running on DEV.
Services
Assess
Map the agents you run, what they can reach, and where the risk sits.
Migrate
database and cloud
Move databases and platforms to the cloud without disrupting the business.
Modernize
data platforms
Rebuild data platforms so analytics and AI share one trusted base.
Build
AI and agents, evals first
Write the evaluations first, then build the AI system that passes them.
Govern
Put tested stop controls, audit trails and scoped credentials around your agents.
Experience
- 125M+ patient records moved to cloud with zero customer impact
- 18-month 24/7 claims-platform move to AWS with zero disruption incl. 18 TB SQL Server re-platformed
- ~95% of requests resolved by a production AI system with no LLM on the hot path
- 30-40% lower analytics operating cost
- AWS Solutions Architect Professional · Data Analytics Specialty · Security Specialty
Agent Readiness Check
Four questions. Runs in your browser; nothing is sent or stored.
Latest insights
Agents
Guardian Agents Are Coming: What Gartner's 2028 Prediction Means for Teams Shipping Today
· 4 min read
Gartner predicts that by 2028, 40% of CIOs will demand guardian agents to oversee their AI agents. Here is what reviewer, monitor, and protector practices any team can build today, without buying anything.
Agents
Kill Switches Aren't Optional Anymore: Designing Circuit Breakers for Autonomous Agents
· 5 min read
A kill switch that has never been tested is not a control. Here is how to design one that actually stops a run, and stays stopped.
Agents
What 89 Percent Adoption and 52 Percent Eval Coverage Tells You About the Observability Gap
· 5 min read
LangChain's latest survey finds 89% of teams have agent observability in place, but only 52% run offline evals and 37% run online ones. Seeing what an agent did is not the same as knowing it was right.
About
Ravi Singh, Senior AI Architect and Principal Data Architect, Keller TX.
Recent work, from Ravi's resume (client names withheld):
- 125M+ patient records moved to cloud with zero customer impact
- 18-month 24/7 claims-platform move to AWS with zero disruption incl. 18 TB SQL Server re-platformed
- ~95% of requests resolved by a production AI system with no LLM on the hot path
- 30-40% lower analytics operating cost
Certifications: AWS Solutions Architect Professional, Data Analytics Specialty, Security Specialty.
LinkedIn: linkedin.com/in/rpsingh1982
Book a review
Business contact details are coming soon. Until then, reach Ravi on LinkedIn. linkedin.com/in/rpsingh1982