Industrial AI agents
Let AI prepare the next steps while your people stay in control
An engineer starts the weekly maintenance review by opening work orders, searching manuals and copying findings into a spreadsheet. The same preparation repeats, but the next useful search depends on what each record reveals. NeoBram builds bounded AI assistants that follow those approved research steps and prepare a clear handover, leaving consequential decisions with the responsible people.
Start small, review the result
A practical first step
- Start with
- One recurring task with an example of a useful finished result.
- The scoped work can produce
- A first project can establish the task map, allowed tools, review points and exception rules, then demonstrate the bounded workflow.
- Your team brings
- Representative records, known access constraints and the person who approves the finished work.
- Next decision
- Continue only if the handover is useful and the exceptions manageable. Agree ownership before expanding access.
Deliverables, access and responsibilities are agreed for the engagement.
Where repeated preparation needs flexible steps
Consider preparing a maintenance research pack, checking a tender for missing evidence or collecting project changes for review. Each task needs a defined starting point, expected output and owner. We first map the steps people take today, including exceptions and handoffs, so the proposed agent has a clear job in the existing workflow.
Write down what the finished task must contain and what would make it unusable. A research pack might need the correct asset, a defined period, a source for each recorded event and a list of missing records. An assistant that produces a polished summary while overlooking a relevant work order has not completed that task.
Compare two starting points. If the sequence and rules stay the same, assess a fixed workflow. If the evidence changes the next useful research step, assess a bounded agent that can choose among approved tools. A chatbot is an interface; one system can combine it with either approach.
An agent is a poor starting point when nobody can define the output, access is unresolved or completion depends on unavailable expert judgment. More autonomy is useful only when it helps the bounded task earn its testing and supervision effort.
From scattered work orders to a useful research pack
A reliability engineer needs a research pack on a recurring stoppage. The illustrative workflow below makes the permitted reading, finished handover and stop condition visible. It should not turn an ambiguous record into a confident operating recommendation.
Access to a document does not imply permission to send it elsewhere. Map each connection to its purpose, permitted information and system owner. Keep source versions visible so a reviewer can tell when new information has made a draft stale.
A maintenance research pack, with a stop branch
Example task: assemble the recorded history for one asset and review period.
Read approved records
Find the asset’s work orders and applicable manual.
Read-only access, approved sources and the requested period bound this task.
Prepare the handover
Draft chronology, source references and open questions.
Separate recorded observations from possible explanations. Show missing records and the source versions used.
Engineer reviews
Accept, correct or return the research pack for more work.
Any record update, message or operating change is a separate action requiring its own permitted scope and approval.
Illustrative, synthetic workflow. Write access is included only if separately scoped, approved and tested; this example establishes no permission to act.
Give the reviewer a clear point to take over
The reviewer should see the proposed action, supporting evidence and unresolved questions. A purchasing commitment, contractual response or operating change belongs to an authorized person. We design stopping rules for missing information, unexpected results and unavailable systems, then test recovery so retries do not silently create duplicate work.
The review screen should let the person inspect what matters without reconstructing the whole task. Show unresolved identifiers, missing attachments and conflicting dates together with the proposed result. A rejected suggestion should remain visible in the task history. Define who takes over when the assistant stops, so an exception does not sit silently between teams.
Test completion, exceptions and authority
Test completed work, missed evidence, reviewer corrections and operating cost across routine tasks and difficult exceptions. Extra tool calls can add cost without improving the result. Your specialists judge whether the handover is useful; the scope must name who handles failed connections and source changes.
If record writing is separately included, agree identity, logging and recovery with the system owner. Test approval at the execution boundary: the authorized person, exact action and destination must match what is carried out. A diagram or instruction in a prompt does not demonstrate that enforcement.
Local operation depends on the required models, tools and records being available in that environment. Expand only when the demonstrated workflow justifies its review and ongoing operating effort.
- Hostile source text: can instructions embedded in a retrieved document cause an unauthorized action?
- Permission changes: what happens after access is revoked or approval is interrupted?
- Retries: can duplicate requests or an uncertain write outcome create duplicate records or messages?
- Incomplete work: are missing evidence, unavailable systems and partial results visible to the responsible reviewer?
Give engineers more time to review the findings
Measure the time needed to reach an accepted task result, including evidence collection, clarification, review, corrections and recovery from failed steps. Compare recurring tasks of similar difficulty. Include work that still needs a person and tasks that remain unfinished in the comparison. The useful outcome is less total team effort producing a dependable handover. Expand only when that improvement survives ordinary exceptions and the ongoing work of supervising the assistant.
More clarity
Questions and answers
Does an agent need unrestricted access?
No. Its access should match the specific task and exclude tools or records it does not need.
Can it work offline?
Potentially. All required dependencies must function locally; internet research and external services will not be available offline.
Will it act without asking?
The approved workflow defines that boundary. Consequential decisions and commitments remain with the responsible people.
When is ordinary automation better?
When the rules and sequence are stable, conventional software can be easier to test and operate. An agent is worth assessing when evidence changes the next step; predictable checks and calculations should remain controlled.
What if a connected system is unavailable?
Return an explicitly incomplete result or stop according to the agreed workflow. Identify the missing evidence, preserve review status and test recovery before users depend on the task.
Start with one business problem