Many PoCs, Zero Production Deployments
Models that run neatly on a laptop fail when facing VPC isolation, network topology restrictions, and strict compliance sign-offs.
Enterprise AI Systems · Production Deployment
Go Where The Work Happens.
No Buzzwords. Building With Your Engineers.
Enterprises do not need more conversational toys. They need AI systems that safely connect to internal telemetry, align distributed logs, respect permission hierarchies, and eliminate operational bottlenecks. Operating as an Independent AI Systems Builder via Forward Deployed Engineering.
The Real Bottlenecks · Why AI PoCs Stall
Why Most Enterprise AI Investments Remain Stuck in Sandbox Limbo
Tools Purchased, Yet Excluded From Workflows
Engineers still manually copy-paste errors across tabs. AI remains a disconnected silo rather than an automated pipeline collaborator.
Scattered Incident Telemetry
During an outage, slow query logs, APM metrics, architecture diagrams, and commit histories are fragmented across multiple tools.
Naive Full-Automation Without Human Gates
Granting write permissions to LLMs creates catastrophic risk. Enterprise AI requires explicit ALLOW / REVIEW / BLOCK governance.
Forward Deployed Engineering · The Process
Forward Deployed AI: Growing Systems Directly from the Frontline
Instead of forcing generic enterprise software onto your team, we embed alongside frontline engineers to tackle genuine bottlenecks:
01
Understand the Workflow
Shadow frontline SREs and developers to map real-world causal interactions, not idealized managerial slide decks.
02
Find the Real Bottleneck
Isolate where high-cost engineering hours vanish: manual timestamp alignment, slow log correlation, or dense manual SOP lookups?
03
Build With Users
Co-design interaction paradigms with actual operators to ensure outputs (e.g., RCA timelines) match engineering intuition.
04
Integrate Real Telemetry
Safely ingest read-only logs, slow queries, and Prometheus metrics without modifying existing critical infrastructure.
05
Observe Failures & Boundaries
Stress-test edge cases by injecting anomalous synthetic faults, establishing hard refusal boundaries and escalation triggers.
06
Iterate Rapidly
Weekly iterative tuning to calibrate prompt grounding, eliminate hallucinations, and verify correlation accuracy.
07
Deploy Safely with Audit
Deliver production-ready pipelines with comprehensive decision lineage and Human Approval Gates.
Human-in-the-Loop · Safety Boundaries
Clear Boundaries: What AI Should Do vs. What Must NEVER Be Automated
✅ Leverage: Where AI Multiplies Engineering Speed
- Cross-source Telemetry Aggregation: Ingesting thousands of logs, slow queries, and metrics in seconds
- Millisecond Timestamp Alignment: Reconstructing causal event timelines across distributed nodes
- Grounded Anomaly Hypothesis: Pinpointing the initial deadlock or lock contention event
- Line-level Evidence Tethering: Citing exact log rows for every hypothesis
- Drafting Standardized Documentation: Assembling formal RCA reports with mitigation suggestions
❌ Strict Human Gates: What Must NEVER Be Autonomous
- Production Database Writes: Prohibiting autonomous DROP, DELETE, or unverified KILL commands
- Opaque Decision-Making: Banning ungrounded interventions lacking auditable causal records
- Privilege Escalation: Restricting credential and IAM modifications behind multi-party human sign-offs
- Final Accountability: AI proposes and investigates; ultimate operational accountability rests with humans
The 4-Week PoC · Proof of Concept Roadmap
Typical 4-Week Proof of Concept Framework
A low-risk, high-visibility engagement that integrates safely without disrupting live environments:
Week 1 · Bottleneck Discovery & Data Audit
Interview engineering leads to pinpoint one acute use case (e.g., recurring database deadlock investigations). Audit available telemetry and verify read-only integration interfaces.
Week 2 · Sandbox Prototype & Timeline Alignment
Build the ingestion and correlation prototype inside an isolated environment. Validate against historical incident logs to evaluate timeline reconstruction fidelity.
Week 3 · Frontline Blind Testing & Feedback
Deploy the console to internal SREs and developers for blind testing. Rapidly calibrate prompt grounding, evidence line-binding, and noise filtering based on operator feedback.
Week 4 · Verification Report & Architecture Handoff
Present verified benchmark findings, architectural blueprints, and human governance specifications to leadership for production rollout decisions.
Declaration of Engineering Integrity
We do not invent fictitious client logos, inflate ROI statistics with 1000% claims, or package hollow concepts behind polished pitch decks.
All demonstrations are anchored in functioning prototypes (such as the AI Production Incident Investigator). In engineering, working code and explicit safety boundaries speak louder than superlative adjectives.
Start Here · Initiate Dialogue
Ready to Embed AI Deeply into Your Operational Workflows?
Whether exploring a 4-week PoC or conducting an architectural deep-dive into your infrastructure bottlenecks, let's connect.