AXIOM/INDUSTRIAL

Industrial IT & OT Consulting

Modernize the systems running your plants, grids, and supply lines.

Axiom Industrial Consulting converges OT and IT, modernizes infrastructure and applications, designs the enterprise architecture for what's next, readies your data for AI, and applies the right technology stack to unlock operational efficiency.

Practice
OT / IT Integration
Practice
Modernization
Practice
Enterprise Architecture
Practice
AI Readiness

01Who we serve

Built for the industrial floor, the control room, and the boardroom.

We work across the industrial spectrum — wherever physical operations meet enterprise systems.

Manufacturing

Discrete + process plants: MES, historians, line-of-business integration.

Energy

Generation and trading: SCADA, market systems, real-time analytics.

Oil & Gas

Upstream and refining: DCS/PLC integration, asset performance.

Utilities

T&D and water: GIS, ADMS, outage and meter data platforms.

Construction

EPC and capital projects: project controls, document and field systems.

Transport & Warehousing

Logistics and 3PL: WMS/TMS, telematics, cold-chain integration.

Commercial Services

Facilities and supplies: ERP rationalization, B2B portals, field service.

02What we do

Five practices, one engagement model.

Each practice ships its own toolkit and references, but they share one job: make the systems your operators rely on more reliable, more useful, and easier to evolve.

01

OT / IT Integration

Connect the plant floor to the enterprise without compromising safety, uptime, or the network boundary that keeps both honest.

  • ISA-95 / Purdue model assessments
  • Unified namespace and data brokering
  • Historian and MES integration patterns
Discuss this practice
02

Infrastructure & Application Modernization

Replatform legacy estates onto durable foundations — cloud-native where it helps, on-prem where it has to be.

  • Cloud landing zones and platform engineering
  • Application refactor / replatform / retire decisions
  • Disaster recovery and resilience patterns
Discuss this practice
03

Enterprise Architecture

A target operating model and a reference architecture your teams can actually deliver against — not a 60-page deck nobody reads.

  • Capability and domain modeling
  • Reference architectures and standards
  • Roadmap sequencing and investment cases
Discuss this practice
04

AI Readiness

Get the data, governance, and platform plumbing in place so AI investments compound instead of stalling at the proof of concept.

  • Data product strategy and lineage
  • Foundation-model and RAG architecture
  • Responsible-AI guardrails and evaluation
Discuss this practice
05

Operational Efficiency

Apply the right stack to the right problem — automation, observability, and decision support that moves real KPIs on real assets.

  • Predictive maintenance and asset performance
  • Process automation and workflow orchestration
  • KPI design and operational dashboards
Discuss this practice

03How we work

A predictable engagement, even when the operations aren't.

Four phases. Outcomes defined upfront. No long-running engagements that quietly grow scope — every wave has a clear end state.

  1. 01

    Discover

    Two-week assessment: people, processes, systems, data, and the constraints nobody wrote down. Result: a shared map of where you are.

  2. 02

    Architect

    Target architecture and a sequenced roadmap that balances cost, risk, and time-to-value. Designed so your team can deliver it.

  3. 03

    Implement

    We embed with your team to deliver the first wave — pilots, platform foundations, and integrations — with reference patterns your future work compounds on.

  4. 04

    Operate

    Runbooks, dashboards, on-call patterns, and a measurable handover. We leave once your team owns it confidently — not before, not after.

04What it looks like

Outcomes that show up on the dashboards your operators already watch.

Outcome
30%

reduction in unplanned downtime

after predictive maintenance rollout on a discrete-manufacturing line.

Outcome

faster integration of new plants

using a reference unified-namespace pattern across acquisitions.

Outcome
40%

lower run-cost on a legacy app estate

via a sequenced replatform-and-retire program over 9 months.

Outcome
90 days

from kickoff to first AI use case in production

with the data, governance, and platform foundations in place upfront.

Illustrative — case studies coming soon.

05Talk to us

Tell us about the system slowing your operators down.

We'll get back within one business day with either a free 30-minute scoping call or a referral to someone better suited if it's not our wheelhouse. No funnels, no drip campaigns.

Response time
< 1 business day
First call
Free 30-minute scoping
Engagement
Fixed-scope waves, defined upfront