Stage 01
Find the value
Identify where governed AI agents can change the work.
Explore stage 01Nodit Enterprise · running
Make AI useful.
Not pilots. Not slideware.
Nodit Enterprise helps asset-intensive enterprises move from AI pilots to governed agentic operations. We find the workflows worth changing, deploy agent teams, install human oversight and keep the capability improving after launch.
Your AI spend is going up. Your operating costs are not coming down. We close that gap.
Lower manual dragFaster decisionsGoverned AI adoption
- Value map
- 30 days
- First workflow live
- 90 days
- Accountable for AI
- 1 owner
Live · indicative diagnostic
Try it now — a considered first read on where agentic AI fits your operation.
Three short prompts. One indicative read on the workflow worth examining, the agent pattern that suits it and the human oversight it would need.
An indicative read, not a recommendation. The full Agentic Opportunity Scan is a paid engagement.
Indicative diagnostic · interactive
Indicative01
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Select your sector.
We tailor the read to the operating realities of your industry.
03What we sell
Three stages. Six products. One operating capability.
From the first diagnostic to a permanent, governed agentic capability — built around your workflows, your knowledge and your risk controls.
See all products & servicesStage 02
Build the capability
Put a governed AI-agent team into live work.
Explore stage 02Stage 03
Operate and improve
Stop the system decaying after launch.
Explore stage 0304The operating layer
Don't replace the core systems. Make the work around them smarter.
The cheapest, fastest path to operating value is an agentic layer above your existing systems — governed, measured and run by humans.
Operating principle
Value before theatre.
Every output must improve a real decision, a real cost or a real piece of work.
- 01
Operating outcomes
Lower cost, faster cycle time, better decisions, less manual drag, governed scale.
- 02
The agentic layer
Governed agent teams with knowledge retrieval, approvals and human oversight.
- 03
Workflow
How work actually moves — trigger, intake, data, decision, execution, reporting.
- 04
Systems, data and work
ERP, EAM, CRM, documents, sheets, inboxes, field data, expert knowledge.
Excerpt from the operating model. Full version walked through during discovery.
05Who we help
Built for asset-intensive enterprises with expensive, complex work.
We start where the work is heaviest, the systems are oldest and the cost of getting AI wrong is real.
See who buys- 01Energy & Utilities
- 02Transport & Logistics
- 03Infrastructure
- 04Mining & Resources
- 05Industrial Operations
- 06Public Sector
06In practice
· Nodit for SMEsNodit — our operating model, running live.
Nodit for SMEs is a governed AI-agent team built on the same outcomes → agentic layer → workflow → systems pattern. A live product across 17 industries. Proof we run our own playbook.
21agents
17industries
5 minto live
nodit.ai · meet your team
07Why Nodit Enterprise
Board-ready. Operationally grounded. Built for real.
Nodit Enterprise combines senior enterprise technology leadership, asset-intensive transformation experience and hands-on agentic AI systems architecture.
Board-ready
Governance, risk and investment discipline
We frame agentic AI the way an executive committee evaluates capital — with risk lenses, control points and an accountable owner.
Operationally grounded
Infrastructure, utilities, transport and industrial work
Built by people who have run the work, not just modelled it. We respect legacy systems, plant cycles and field reality.
Built for real
Agent teams, workflow design and human orchestration
We deploy governed agent teams into live workflows and leave a human orchestrator capable of running and improving them.
08From the principals
"Useful AI is not a slide. It has to become a system people can actually use."
Brian Craighead · Agentic AI Systems Principal