Agentic AI · Upstream Operations
Agentic AI for upstream’s most fragmented engineering workflows
Whether you run reservoir, drilling, completions, or production — Groundwork helps your team make faster field decisions with less analyst non-productive time. No rip-and-replace, no slide-deck consulting.
No credentials, exports, or direct system access required for the first call. For VP Engineering, CTO, Reservoir, Production, and Asset leaders at independent E&P operators.
Built by Dr. Mehrdad G. Shirangi — Stanford PhD, former AI Transformation & Technology Leader at Baker Hughes Groundwork on LinkedIn →
Built on petropt — 50+ functions, MIT · petro-mcp — 70 petroleum engineering tools · tools.petropt.com — petroleum engineering workflow suites
The highest-ROI AI work starts with the workflow, not the model.
Groundwork helps upstream teams map fragmented engineering workflows, isolate the 3–5 highest-leverage intervention points, and scope agentic AI around measurable field decisions — not generic copilots, dashboards, or transformation theater.
MIT found that 95% of enterprise GenAI pilots deliver zero measurable return. The fix is tighter workflow selection, hard operating constraints, and a deployment path tied to real business outcomes from day one.
How We Engage
From first workflow to production system.
Engagements are founder-led, with a hand-picked network of specialist engineers brought in per scope. See the full engagement model on the enterprise page →
Step 1 · Fit
Confidential 30-Minute Briefing
No system access required
We identify the workflow, the decision process, and your team context. We walk through one private workflow pattern relevant to your team. Either answer — fit or no fit — is useful.
Step 2 · Scope
Focused Scoping Engagement
NDA in place
We map the current workflow, quantify the friction, and define what a useful first deployment would need to prove. In writing — what gets built, what success looks like, who owns what.
Step 3 · Build
Pilot or SOW Delivery
Founder-led, end-to-end
We build around a narrow, high-value workflow with clear technical owners, success criteria, and handoff expectations. Code, models, and documentation hand back to your team. No vendor lock-in.
Earlier in your AI journey? The AI Readiness self-diagnostic on tools.petropt.com is the lowest-friction way to start.
Why Groundwork Analytics
Founder-Led Domain Depth
Groundwork is led by Dr. Mehrdad G. Shirangi, a Stanford PhD and former Baker Hughes AI Transformation & Technology Leader with experience across digital twins, autonomous optimization systems, and production intelligence tools.
Built to Deploy
Every engagement is founder-led and built toward a working system in production — not a slide-deck handoff. The goal is measurable field value, not advisory drift.
Decision Tracker, Then Digital Twin
The Operations Decision Tracker captures engineering decisions, assumptions, and field changes in one operational spine. A practical starting point for digital twin-style workflows and a concrete example of how fragmented context becomes usable.
Ready to Transform Your Energy Operations?
Tell us about your operational challenges. We respond within 24 hours.