AI readiness for operators, manufacturers and every company with data in too many systems

Find out if your data is ready for AI before you spend the budget.

Leadership wants an AI plan. We find where your data lives, where it disagrees and what to fix first, then build AI that runs inside your own walls. Fixed price. Guaranteed.

  • If the assessment doesn't change how you'd spend your AI budget, you don't pay
  • Your data never leaves your network
  • Analytics and data company since 2014, 300+ clients
Data sources flow through validated business logic to AI reporting and analysis Production, finance, well records and documents connect to validated business logic, then support AI-powered reporting and analysis. Systems Operations Business data Documents VALIDATEDBUSINESS LOGIC AI-poweredreportingand analysis
Illustration of data flowing into practical AI applications

Why AI pilots stall

One record. Four systems. Four names.

Your operations, finance and engineering data live in systems that never quite agree, and the reconciliation happens in someone's spreadsheet. In oil and gas it's a well. In manufacturing it's a part number. In life sciences it's a batch. In logistics it's a shipment. Put AI on top of that and you get wrong answers faster. AI pilots don't fail because of the model. They fail because the data was never ready. We fix that first.

Industries

We name the data. Every industry has its own.

Oil and gas

Production and allocation, well master data, SCADA and historians, LOE, AFEs and JIBs, land and regulatory documents.

Manufacturing

MES and historian data, ERP orders, BOMs and inventory, quality results, CMMS work orders, SOPs.

Life sciences

LIMS, batch records, ELN, deviations and CAPA, validation documents.

Chemicals

Process historians, quality and LIMS results, ERP, batch documentation, supplier COAs.

Construction and engineering

Project controls, field data, ERP, estimates and change orders, drawings and specs.

Transportation and logistics

TMS and WMS, shipment and fleet data, ERP, rates and invoices.

Insurance

Policy admin, claims systems, finance data, underwriting documents.

Not on the list? If your data lives in too many systems, the method is the same.

Book a free 30-minute AI Readiness Call

How it works

Three steps. You can stop after any of them.

Step 1

AI Readiness Call

Free, 30 minutes with founder John Buckley.

Tell us what you've been asked to deliver with AI and where your data lives. You leave with a one-page readiness snapshot and a straight answer on whether to go further.

Book the call
Step 2

AI Readiness Assessment

$5,000 fixed price. Two weeks. Read-only access to a copy of your data.

  • A map of where your operational, financial and engineering data lives and where it disagrees
  • A readiness scorecard across six dimensions: findability, identity, quality, access, governance and fit for AI
  • The top three AI use cases, ranked by payoff with the math shown
  • A phased build plan with a budget range
  • A readout with you and your leadership

Guarantee: If the report doesn't change how you'd spend your AI budget, you don't pay.

Credit: Go ahead with the build and the $5,000 comes off the first phase.

See the sample report
Step 3

The Build

Scoped and priced from the assessment, in phases.

We clean and connect the data, set up governance and quality checks, then put AI to work on it on your own infrastructure. For oil and gas teams that means moving reporting off traditional BI tools onto AI that answers questions from trusted data. For manufacturers it means plant, quality and ERP data an AI model can act on. You own all of it. Nothing is rented per seat.

Founding clients, three spots

First three assessments at $2,500

Half price through November 30, 2026, in exchange for a reference call and a named case study when we're done. Same scope, same guarantee.

Claim a founding spot

Implementation work

A practical implementation, built around your workflow.

  • Source integrations

    Connect the data sources needed for the reporting workflows in scope.

  • Reusable business logic

    Carry forward calculations and business rules with clear documentation.

  • AI applications and reporting

    Build practical applications and reporting around the workflows your team uses.

  • Validated outputs

    Compare results against reference outputs agreed with your team.

  • Deployment and transition

    Deploy, train users, and hand over the work, with optional monthly support.

Engagement and pricing

Scoped project fee

Each project is scoped around the selected workflow and delivery requirements. Optional monthly support can be arranged after handover.

Technology choices

Your own infrastructure provides the data and compute. Model choices are based on your requirements and budget, without a preferred vendor.

Keep trusted data and calculations in view

AI does not replace source systems. We validate outputs against agreed reference results rather than relying on unverified arithmetic.

Santos Alaska, Pikka Phase 1

We've done this inside an operator before first oil

Santos Alaska, Pikka Phase 1. Before first oil, the regional business unit needed one answer: which reports, data sources and governance practices had to be in place so finance, drilling, production, subsurface, EHS, tax and supply chain could all trust the same numbers. Santos issued a competitive RFQ. Blue River won and ran a fixed-fee assessment. We audited eight source systems, inventoried reports across eight functions, scored governance and data quality maturity, and identified 32 reporting gaps with a fix for each. Santos got a current-state assessment, a reference architecture, a governance strategy and a ten-month roadmap.

8 source systems

audited

32 reporting gaps

each with a fix

10-month roadmap

"We are already using your recommendations in the first phases of the implementation plan."
Santos Alaska project lead, January 2025

That is the same work an AI Readiness Assessment does, in any industry: find out whether the data can be trusted, decide what to fix first, and give leadership a plan they can fund.

What happens to your data

Read-only, on a copy.

We work against a point-in-time copy with read-only access. We never touch production systems.

Nothing leaves your network.

Models run on your own infrastructure, on premises or in your cloud tenant.

Vendor neutral.

We recommend models sized to your workload and budget. We don't resell a platform.

You own everything.

The data standards, pipelines, model and documentation are yours. No lock-in.

Guarantee

If the report doesn't change how you'd spend your AI budget, you don't pay.

We can guarantee it because the assessment is a measurement, not an opinion. We profile the data you give us, match your core records across every system that holds them, and score six dimensions with the evidence written next to each score. The readout ends with one question to your leadership: does this change how you would spend? If the answer is no, there is no invoice.

Book the free readiness call

Thirty minutes. You leave with a readiness snapshot.

Tell us what you're being asked to do with AI. We'll tell you straight whether your data can support it and what we'd fix first. No deck, no pitch.

john.buckley@blueriveranalytics.com303-248-6424

John reads every message and takes every call himself.

Teams we have worked with since 2014

  • Devon Energy logo
  • EOG Resources logo
  • SM Energy logo
  • Diamondback Energy logo
  • ConocoPhillips logo
  • Magnolia Oil & Gas logo
  • Continental Resources logo
  • Hilcorp logo
  • EQT logo
  • Range Resources logo
  • Matador Resources logo
  • Santos
  • Antero Resources logo
  • Permian Resources logo
  • Williams logo
  • Liberty Energy logo
  • Northern Oil & Gas logo
  • Comstock Resources logo
  • ONEOK logo
  • Talos Energy logo
  • Crescent Energy logo
  • Whitecap Resources logo
  • Black Stone Minerals logo
  • Canadian Discovery logo
  • Lario Oil & Gas logo
  • Marubeni Oil & Gas
  • Infinity Natural Resources logo
  • Evercore logo
  • Piper Sandler logo
  • Anschutz Exploration logo

Historical experience only; inclusion does not imply endorsement.