Capital projects fail as information and decision failures: plans that cannot be defended, and decisions no one can reconstruct when the review comes. Crivella supplies the foundation that answers for them. A structured, reliability-graded, decision-bearing record on the AWP backbone makes your proven planning methods, and any AI applied on top, both effective and defensible after the fact.
A capital project's failures are, at root, information and decision failures. The deciding question is not whether a plan looks right today, but whether each decision in it can be substantiated and defended once the outcome is known.
Roughly four capital projects in five overrun, and the causes trace back to the same place. The information underlying a decision was incomplete or ungraded, and the basis of the decision was never recorded in a form that survives scrutiny. When the record cannot answer for a choice, the project cannot defend it.
The condition is compounded by turnover. Execution planning still depends heavily on the judgment of a few senior people; as they retire or move, that judgment leaves undocumented, and the organization relearns it at cost. This knowledge churn is a real and largely unmeasured expense, but it is a symptom. The underlying problem is that the practice was never captured as a graded, decision-bearing record in the first place.
Quality varies with experience
A novice practitioner and a thirty-year veteran produce very different plans from the same inputs. Consistency is the exception, not the rule.
The expert bottleneck
Sound plans wait on the availability of a small set of senior people who already carry too much. Their time is the constraint on the whole portfolio.
Judgment that walks out the door
The reasoning behind a good plan lives in people's heads. Retirements and moves take it with them, and it is rebuilt at cost — the hard way.
In a regulated capital project, the deciding question is not whether a recommendation looks right today. It is whether the decision can be reconstructed and defended later: in an incident review, a regulator's inquiry, a board post-mortem, or a courtroom. A graded, attributed decision chain answers that by construction. Every decision records who decided, on what evidence, with what reliability, and what was ruled out.
The decision chain
One record that serves at once as the readiness view, the audit trail, the accountability record, and the learning carried to the next unit.
Reliability grading
Every input carries a trust grade. "Adequate information, on objective criteria" becomes a property the record can demonstrate, not one it merely asserts.
Early warning from marker sets
Concern, doubt, urgency, and distress surfaced with the exact words that triggered each flag. Trouble is legible in the language before it appears in the numbers.
The regulatory posture is moving the same way. Proposed Federal Rule of Evidence 707, the Nuclear Regulatory Commission's 2025 AI plan, and the EU AI Act each point toward lifecycle logging, reliability, and accountable human oversight. That is the direction of travel, and the record is built for it.
Questions come one at a time — project type, constraints, timeline, risk tolerance — and a structured execution plan builds as the practitioner answers. Complex regulatory requirements, vendor qualifications, and engineering constraints are handled in the background, so the user focuses on one decision at a time.
Every recommendation shows exactly which best practices, case studies, and expert judgments informed it, each reliability-graded and traceable. The plan is not a black-box output. It is a defensible record of how the decision was made — and who, human or agent, contributed to it.
For experienced practitioners
Faster, more consistent plans with full traceability — the routine carried by the platform, the judgment kept with them.
For newer engineers
Guided access to the institutional standard, with every step substantiated and traceable: defensible work, not merely faster work.
For project leadership
Defensible audit trails built for the moments that come later — incident review, regulatory inquiry, board scrutiny.
We are systems engineers first, software developers second. Before a single adaptation is made, we establish — together — what success looks like and everything it takes to get there, including the process, governance, and training changes a platform alone cannot deliver. We call this Goal-Driven Cross-Functional Governance (GDCG).
Your subject-matter experts lead; Crivella facilitates and documents. Cross-functional working groups — asset delivery planning, project financial planning and cost, and safety, regulatory compliance and performance — define what is necessary and sufficient for success. The result is a complete decision architecture your people helped build, which is what makes it adopted rather than imposed.
Proof of Concept
Goals ratified, working groups convened, and the platform configured against one of your own reference plans — validated on your ground, not a demo.
Development & Testing
The configuration extended and tested across a representative set of project types, with acceptance criteria you define.
Implementation
Rollout to the first asset teams, with the process and training changes in place — each step gated by your acceptance of the last.
Enterprise Rollout
Deployment across assets and teams, with the configuration held in a versioned Coding Manual so the practice stays consistent as it scales.
The relationship is joint development with technology licensing. You remain in the driver's seat: every commitment is mapped to a phase and a milestone, and every phase is gated by your acceptance of the one before it.
The same engine, specialized through its Coding Manual, applies across the family of asset-level project work — durable institutional-memory infrastructure, not a single tool.
Execution Plans
Guided planning across turnarounds, modifications, debottlenecking, equipment replacements, and small-to-mid capital projects.
Turnaround Planning
Major turnaround scope and sequence, configured to a facility's own history — where every day of downtime carries real cost.
Permits & Regulatory Submissions
Drilling permits, environmental review packages, and regulatory filings — assembled, cross-checked, and defensible.
Operational Readiness
The handover bridge — operations grounded in the design record, gaps surfaced before startup rather than after an incident.
Process Safety & Management of Change
PSM documentation and MOC packages reviewed against the design record — every change traced to its source.
AI tools change monthly. Buy the best practical ones, and keep the vendor-neutral, reliability-graded record they plug into. The foundation is what makes any tool placed on top of it usable, and what keeps your decisions intact as the tools around them turn over. The Construction Industry Institute's 2025 turn toward data requirements makes the same case from the outside.
On that one foundation, four objectives are served together.
Value
Earlier in-service and avoided slippage, measured against your own baseline.
Predictability
Graded information and early warning, so trouble is seen while it can still be corrected.
Industrialization
A consistent, repeatable practice that carries from one unit to the next.
Accountability
A recorded basis for every decision that survives later examination.
We baseline the platform against a statistically valid sample of your past projects: plan-development hours, work products and version history, budgets, and spend over time. Improvements in time, cost, and quality are measured as "as-was" versus "as-is" — against your operational experience, not a vendor's theoretical numbers.
Selecting a high-quality, judicious measurement basis is itself a critical success factor, and we treat it as one. Each enhancement is validated against your data, improvement to improvement.
Faster plans
Reduced plan-development time through systematic guidance.
Consistent quality
The same standard across every experience level and every asset.
Adoption by design
Built into the practice by the people who will use it, so it is kept rather than shelved.
The core platform — the Grounded Intelligence Console — is production-deployed today, running against hundreds of millions of pages in the most demanding information environments in American practice. This engagement configures existing capability for your capital-project workflows. It is adaptation, not a science project.
The architecture was invented two decades before the field arrived at it, on filings dating to 2001 and 2007, and it descends from the production standard that became the foundation of electronic discovery, the de facto standard for electronic evidence in nearly every federal civil case in the country. The durable asset is the trade-secret marker-set know-how and a quarter century of practice, not any single filing.
How the Platform Works →Every recommendation traces to a specific, reliability-graded source in your own knowledge base — not general engineering lore.
AI and human contributions enter through the same discipline and the same review gate. Agentic work operates under the authority of your practitioners, never around them.
The configuration lives in a versioned Coding Manual you control, so the practice is preserved, auditable, and consistent as it scales across the enterprise.
Planning is the entry point, not the boundary. The same decision-bearing record extends to project controls, to owner oversight, and through to handover. The knowledge landscape is delivered as a work product in its own right, alongside the customary EPC deliverables, carrying design-for-manufacture-and-assembly intent into the as-built record rather than losing it at each seam.
The operating target is straightforward to name: a measurable EPC Process Target Operating Performance (PTOP), improved unit over unit against your own history, on a foundation that holds up when the decision is examined.
Bring one of your own reference plans. We'll show you how the platform configures to your practice, and agree together on what a Phase-1 proof of concept would prove.