PredictiveDecisions.

Turn complex data into smarter, safer,stronger infrastructure decisions.

  • Predictive Insights
  • Risk Reduction
  • Operational Excellence

90-day production pilots · Human-in-the-loop · Houston delivery

Most AI projects stall the same way

  • Tool seats sold without workflow design
  • Roadmaps written without kill criteria
  • Partners who never sit where the work happens

Ballast-AI is built for the opposite.

Production-grade AI on systems you already run

Houston mid-market operators don’t need another transformation narrative. You need one P&L metric moved on the ERP, EHR, WMS, historian, or document stack you already pay for.

Ballast-AI baselines that metric in week one, ships a production pilot in 60–90 days, and keeps security and human-in-the-loop controls where risk requires them. Local delivery. Named senior accountability. No slide deck that dies in a drawer.

  • One metric, agreed up front
  • Fixed-scope pilots with go/no-go criteria
  • Build-with-your-team handoff you can maintain
  • Honest calls when AI is the wrong tool

Offer spine

  1. 01Assessment (2–4 weeks)
  2. 0290-day metric-tied pilot
  3. 03Enablement & handoff
  4. 04Optional Managed AI retainer

How we work

Three commitments that keep delivery steady under load.

01

Workflow-first, model-second

We fix and clarify the process, data slice, and exception path before we touch a model. AI accelerates a true workflow; it is not the product.

02

90-day production with kill criteria

Fixed scope. Pre-agreed KPIs. Baseline in week one. Explicit go/no-go. You always know what “good” looks like—and when to stop.

03

Operator control & Gulf Coast reality

Built for messy data, HIPAA/OT boundaries, and floors that have to use the tool on Monday. Audit trails, enablement, and on-site presence—not offshore opacity.

How we work →

Measured leverage—not theater

Cases describe methodology and controls. Client-approved metrics stay under NDA until released.

Featured · Energy services

Field-ticket intelligence with supervisor gates intact

A mid-market oilfield services operator was losing days to manual field-ticket and coding review. We baselined exception volume in week one, shipped a human-in-the-loop document intelligence workflow on systems they already ran, and kept sign-off where risk required it. Primary metric and adoption figures available under NDA.

Read the case

Engagement that fits a quarter

Assessment → pilot → enablement → optional retainer. Artifacts you can audit.

  1. Step 01

    Assessment (2–4 weeks)

    Map the workflow, data reality, risk boundaries, and the single metric worth moving. Leave with a scoped pilot recommendation—or a clear no.

  2. Step 02

    90-day pilot

    Production slice on your systems. Baseline, build, controls, and measured results. Kill criteria written into the SOW.

  3. Step 03

    Enablement

    Train the people who own the process. Document the runbook. Hand off something maintainable—not a black box.

  4. Step 04

    Retainer (optional)

    Managed improvement, monitoring, and the next metric when the first one sticks.

What procurement and operators can count on

For owner-operators and smaller firms

Already know the bottleneck? Start with one automation.

You don’t need a multi-workflow pilot to get value from AI. If you run a professional practice, a trade shop, or a local service business, we can pick one high-friction process—intake, scheduling, quoting, documents, or follow-ups—build it properly, and hand it off so your team can run it.

Same firm that runs mid-market pilots. Narrower entry. Same build standard.

Start with one metric—not a 90-slide roadmap

Tell us where cost, throughput, or labor is stuck. We’ll tell you if a 2–4 week assessment is the right next step—or if it isn’t.