For plant managers & CEOs

Your factory has the data.
Put it to work.

Spend less time collecting information from disconnected systems and preparing maintenance plans. Give every authorised team a familiar way to ask, verify and decide—across shifts, sites and roles.

Customisable product · Plain-language interface · Hands-on implementation

Illustration of factory operations supported by production analytics and visual monitoring

Plant manager

Illustrative sample · Not connected to your plant

Read only

“What should go into next week’s maintenance plan?”

Example assistant response

I can prepare a draft from approved maintenance history and condition records, with source links for your engineer to check.

One answer · matched to the role

  • Ask directly
  • Check evidence
  • Act within role

From data collection to decisions

Less assembling information.
More informed action.

The data team remains in control of definitions, sources and permissions. It no longer has to translate every routine factory question for everyone else.

The familiar bottleneck

Request. Queue. Translate. Wait.

A team sends its question to the person who knows the data. That specialist extracts, interprets and returns a one-off answer—often after the decision window has moved on.

The product approach

Ask. Verify. Decide.

An authorised user asks directly. Their role, approved sources and filters travel with the question; the answer arrives with traceable evidence.

One product, different responsibilities

Built around plant managers and CEOs.

Not one unrestricted view for everyone: a shared interface that respects the questions, sources and actions authorised for each role.

Plant manager: get to a usable plan

Bring approved records together, investigate recurring issues and prepare maintenance-plan drafts for your team to review. Measure the time spent acquiring data and producing the plan.

CEO: see what needs attention

Ask consistent questions across sites and see the evidence behind the answer. Expand access to the right teams without giving everyone the same permissions.

Illustrative walkthrough · one question · three steps

Ask. Check the evidence.
Decide what comes next.

Try a prepared question in a familiar chat-style workspace. Follow the source evidence, then review an example handover draft. This is an illustrative product journey; all values are synthetic, not live data or customer results.

Interactive example only. This uses a prepared question and synthetic answer; it is not connected to a customer plant and no real action is submitted. Production scope is agreed for each deployment.

Manufacturing intelligence

Line 3 · Approved data sources · Plant manager role

Step 1 of 3 · Ask
Assistant

What would you like to understand about the plant?

Ask in plain language. Manufacturing intelligence keeps the approved sources, role and evidence attached to the answer.

Line 3 Day shift MES output Machine states Quality records
Read-only request. The signed-in role, allowed sources, period and filters travel with the question.

The screens form one continuous question, evidence and action journey. A production version is shaped around validated plant definitions, source quality, user roles and approval boundaries.

A focused first deployment

One workflow. A measurable proof of value.

Start with a bounded question or maintenance-planning workflow. Agree deliverables, access requirements, success measures, timing and commercial terms before the work begins.

  1. 01 · Discover

    Choose the decision

    Record today’s time spent acquiring data and producing the plan. Agree the users, sources and quality checks.

  2. 02 · Shape

    Fit the product

    Configure the agreed sources, definitions, permissions and chat workflow alongside your team.

  3. 03 · Prove

    Test with real users

    Compare elapsed time and staff effort against the baseline. Review answer accuracy and plan usefulness with users.

  4. 04 · Embed

    Make it operational

    Receive the findings, configured workflow and an agreed handover or next-phase proposal. Expand only after review.

The first decision is whether it is worth scaling. Quantified savings are not yet published. We will agree a measurement approach using your workflow, not apply an assumed ROI percentage.

Product + implementation partnership

Forward-deployed to fit how your plant actually decides.

A customisable product, delivered with hands-on consulting. Perception IT’s forward-deployed team works alongside operations, IT/OT and data owners to configure the sources, terminology, permissions and workflow around your plant.

  1. 1

    Work alongside the plant

    Observe the real questions, hand-offs, constraints and decision windows with the people doing the work.

  2. 2

    Define trusted meaning

    Agree the approved sources, metrics, filters, ownership and evidence behind each answer.

  3. 3

    Configure roles & workflows

    Match questions, sources and allowed actions to operators, specialists, managers and executives.

  4. 4

    Stay through adoption

    Test with users, close data gaps and leave a supportable operating model—not a disconnected software hand-off.

Before you decide

A few practical questions.

Is this software, a consultancy project, or both?

A customisable product with a hands-on implementation partnership. The product provides the working interface; our team configures and validates it around your sources, roles and decisions. Rollout and ongoing support are scoped with you.

Do we need to replace our existing systems?

The starting point is the information you already hold. We assess access, quality and permissions before agreeing the first scope. Any integration or infrastructure changes are identified and agreed, not assumed.

Can anyone see all of the factory data?

No. Access is configured for authorised roles and approved sources. Plant managers, CEOs and specialists can use the same familiar interface with different permissions. Draft plans still need accountable human review.

What does it cost, and how long does it take?

Pricing and timing depend on source access, workflow complexity, deployment requirements and support. The next step is a scoped proposal with deliverables and acceptance criteria. No savings figure or delivery deadline is promised before discovery.

What results can you show today?

An active manufacturing engagement is validating the approach. Quantified data-acquisition and maintenance-planning time savings are not yet published. The interactive screens on this page are illustrative, not customer results. Read the engagement brief.

Under the surface

For technical teams: configuration options.

Start with the sources and workflow your first use case needs. Data access, work guidance and suitable camera evidence are configuration options; their availability is agreed during scoping.

Explore the technical deep diveFactory vision, PC-side assistance and governed operational data access.

Factory vision

Make existing cameras operationally useful.

Apply computer vision to suitable CCTV feeds for restricted-zone observation, PPE and blocked-route review, incident search, camera-health monitoring, congestion and production-flow insight.

Start with the installed estateAssess camera position, image quality, coverage and network readiness.

Add specialist imaging where neededQuality inspection or thermal use cases may require controlled lighting or dedicated cameras.

Factory Vision dashboard

Illustrative sample · Line 3 · Synthetic camera events

Sample feeds
Cameras ready18 / 202 scheduled for service
Open reviews3 1 priorityHuman decision queue
Average review3m 42sToday
Routes clear94%Current shift

Camera context

Selected feeds from the installed estate

Human review

Click the blue buttonInspect the selected CAM-07 observation and its evidence.

PC-side copilot

Help people complete approved work at the plant PC.

Give operators and support teams a voice or typed route to approved documents, on-premises SharePoint, local files and tightly defined desktop actions. Bilingual workflows can be added where they improve practical adoption.

Explicit, bounded actionsAllowlisted folders, fixed commands and confirmations for consequential steps.

Local policy remains decisiveThe endpoint validates every action, fails closed and records a minimal audit trail.

PC-side Copilot dashboard

Operator workspace · Press 2 · Approved document workflow

Policy active
WorkstationPress 2Authenticated operator
Approved sources48Controlled documents
Action boundaryRead onlyNo machine control
Audit stateRecordingMinimal event trail

Operator request

Typed or spoken at the plant PC

English · اردو
You · Operator

Open the approved pre-start checklist for Press 2.

Assistant

I found the current controlled copy. I can open it read-only and keep the source reference visible.

Click the blue buttonOpen the controlled checklist in a read-only preview.

Operational intelligence

Ask operational data—and see the evidence.

Connect approved SQL, MES, ERP, historian and file sources. Plant teams ask guided questions in plain language; the service returns bounded, read-only analysis with charts, periods, filters, assumptions and the source fields used.

Governed query pathSchema discovery, read-only validation, timeouts, limits and role boundaries.

Useful outputsConcise answers, ranked evidence, charts, dashboards and follow-up questions.

Factory workspace

Ask the data · Line 3 · Day shift · Sample question

Read only
Output vs plan88%1,086 of 1,200 units
Downtime52 min34 min on Press 2
First-pass yield97.4%Within sample limit
Energy per unit1.8 kWhDay shift

Question workspace

Begin with the operating decision—not a fixed chart

Plain language
Why did Line 3 miss its day-shift output target?
Line 3Day shiftOutput targetApproved sources

Click the blue buttonRun the prepared question and reveal the ranked evidence.

Deployment choice

Role-aware by default. On-premises where control matters.

Keep databases, credentials, query execution, endpoint controls and audit records inside the agreed boundary. Any context that may cross it is deliberately classified, bounded and approved.

  • Predictable local latency and continuity
  • Read-only access, allowlists and confirmation gates
  • Data minimisation and an auditable operating model

Scale from evidence

Pilot on current infrastructure first.

Add scheduled refreshes, more systems, live events, private-model capacity or production-grade vision only after the first use cases prove useful and supportable.

Where a plant needs a larger platform, Perception IT can design partner-backed compute, storage, networking and security as one operational stack.

Explore enterprise platforms

A firm boundary

Decision support is not a certified safety system.

Camera analytics and AI assistants can help people review risk and respond consistently. They do not replace machine guarding, fire detection, safety interlocks, certified collision avoidance or accountable human judgement. Safety-critical use cases require the appropriate engineered controls and specialist sensors.

Your next step

Bring the workflow that costs your team time.

We will map the decision, users, approved sources and evidence needed to make the answer safely reusable across the right roles.

Scope a manufacturing proof of value