Eyelit Technologies
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Agentic AI

Agent EyeQ

Your plant runs on tradeoffs — competing KPIs, data that outgrows your team, and alerts that flag a problem without ever explaining it. Agent EyeQ tells you what happened, why it happened, and what to do next, then orchestrates the response across planning, scheduling, and execution.

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Agent EyeQLiveMES · APS · SIOP
Why is lot 4471 on hold, and can we still ship order 88-102 on Friday?

Checking hold reason, then capacity, then the customer commit

  • ✓mes.lot.getStatus(4471)MES
  • ✓mes.hold.list(4471)MES
  • ✓aps.schedule.simulate(Etch-02)APS
  • ✓siop.commit.check(88-102)SIOP
QA cleared the hold at 09:12. Friday ship holds if the lot is released to Etch-02 by 14:00.
Reasons, acts, learnsReAct loop with intent-aware planning
1,700+ operationsEyelit operations exposed to the agent as tools
Full audit trailEvery action logged, approved, and replayable
What is Agent EyeQ

Agentic AI built for manufacturing operations

Reaching your operational goals means a constant game of tradeoffs: competing KPIs, growing data volume, and disruption that piles up faster than any team can manually process. Agent EyeQ is the agentic layer of the Eyelit platform — one system across planning, scheduling, and execution that reasons over live operational data and acts inside the manufacturing system of record.

Unlike a generic AI platform adapted for the plant floor, Agent EyeQ speaks the vocabulary MES, APS, and SIOP were already built on. It discovers the right capability from a registry of over 1,700 Eyelit operations, and every action it takes is logged, approved, and replayable.

ReasonsIntent-aware planning

Decides each next step from live observations, not a scripted workflow.

Acts1,700+ operations

The full Eyelit platform as callable tools. MES, APS, and SIOP in one unified loop.

LearnsKnowledge base

Every quality-gated run feeds a vector store the agent draws on in future sessions.

GovernsHITL and full audit

Approval gates, read/write separation, and multi-channel notifications before any change.

Why it qualifies as agentic AI

Beyond chatbots and scripted workflows. Autonomous, tool-using, and grounded in the system of record — Agent EyeQ meets the bar for true agentic AI in manufacturing.

1 / 6

  1. Decides each next step from live observations. Not a scripted workflow, a reasoning engine that adapts to what it finds.

  2. Approval gates, read/write separation, and multi-channel notifications before any change reaches the production system.

  3. Finds the right capability from a registry of 1,700+ operations by meaning, not hardcoded calls or fixed integrations.

  4. Domain experts shape agent behavior with scenarios. No engineering required to extend or constrain how the agent works.

  5. Reasons across MES, APS, and SIOP in a single agent loop via a common protocol. No system switching, no data gaps.

  6. Executes real operations on real lots, not text generation. Real manufacturing outcomes, with full traceability.

AutonomousTool-usingGrounded in the system of record

What It Can Do

Operating the plant through conversation and autonomy

Conversational platform

Ask in plain language across MES, APS, and SIOP. Get answers and actions, not navigation menus or empty screens.

Autonomous workflows

Multi-step jobs, plan, release, dispatch, hold, schedule, executed end-to-end with human-in-the-loop approval gates.

Live operational insight

Charts, tables, and structured cards built on the fly from real platform data. No dashboard required, no pre-built reports needed.

Faster decisions

Diagnose deviations, suggest dispositions, and draft RCAs and CCAs in seconds using real lot and process data.

Process authoring

Generate flows, scenarios, and task schedules from intent. No XML, no scripting, no scenario UI required.

Full audit and traceability

Every action logged, approved, and replayable, meeting the regulatory and quality requirements of complex manufacturing.

What Agent EyeQ brings to the platform

Built for complex manufacturing, not adapted for it

Why it qualifies as agentic AI
01

Delivers seamless interaction across planning, scheduling, and execution

One agentic layer spans domains that used to run separately, and connects to whatever else is already running in your plant.

02

Starts assisted, grows into autonomous

Every plant begins with a human in the loop and moves toward full autonomy as trust builds, on your own timeline.

03

Tells you what to do, and why

Agent EyeQ surfaces what happened, why it happened, and what to do next, not just an alert.

04

Purpose-built for complex manufacturing industries

Not a generic AI platform adapted for the plant floor. Built for it from the ground up.

Supporting detail:
  • Model-agnostic architecture, not locked to any single LLM provider
  • 1,700+ callable Eyelit operations exposed as MCP tools
  • ReAct loop with intent-aware planning
  • Quality-gated learning that improves performance over time
  • Multi-tenant isolation and permission boundaries
  • Human-in-the-loop (HITL) approval workflow with multi-channel notification
  • No-code scenario integration for domain experts
  • Complete, replayable audit trail

Same system. Different jobs.

The only thing that changes is who’s holding the wheel. Same tools, same governance, deployed to match the task at hand.

Caddy mode

Helps you do your job better

“Sits next to the operator. Suggests, drafts, recommends, and executes on request. The user stays in charge at every step.”
  • Drafts dispositions, RCAs, and schedule changes for review
  • Surfaces relevant operational data on demand — no dashboards to build
  • Walks junior engineers through unfamiliar tasks
  • Accelerates routine work for experienced operators
Who’s holding the wheel
OperatorAgent

You act on the agent’s suggestions. It drafts, you decide.

Sameengine
Sametools
Sameaudit trail
Employee mode

Owns the job outright

“Given a goal, not a script. Plans, executes, and escalates by exception. Reports to a human manager.”
  • Runs 24/7 against assigned KPIs and operational constraints
  • Acts autonomously within human-in-the-loop guardrails
  • Learns from every run via quality-gated transcripts
  • Full audit trail — every action traceable and replayable
Who’s holding the wheel
OperatorAgent

The agent acts on its own and escalates exceptions to you.

Sameengine
Sametools
Sameaudit trail
Business Support as a Service (BSaaS)

AI agents built for your operation, by engineers who sit with your team.

Agentic AI earns trust when it’s grounded in your data, your rules, and your decisions, and that takes more than a license. With Business Support as a Service (BSaaS), Eyelit engineers embed with your operations and IT teams to find the highest-value use cases, connect Agent EyeQ to your plan, schedule, and execution data, and put agents into daily work with the right guardrails.

Learn more about BSaaS
  1. Identify
  2. Connect
  3. Configure
  4. Monitor
  5. Roll out
  6. Train

Embedded engineers

  • 01Identify and prioritize agent use cases with your plant and supply chain leaders, starting where the payback is clearest
  • 02Connect Agent EyeQ to Eyelit MES, APS, and SIOP data plus your ERP, so agents reason over the full closed loop
  • 03Configure agent permissions, approval steps, and audit trails to fit your quality and compliance requirements

Ongoing operational support

  • 04Monitor agent performance and accuracy, and refine prompts, rules, and data connections as they’re used
  • 05Roll proven agents out to new lines, sites, and teams
  • 06Train your people to work alongside agents and add new use cases over time