Plan it. Make it.
Move it. Trace it.
Manage the entire manufacturing and assembly process on one record: job management, MES with bill of materials and routing, work orders, quality control, planning and scheduling, purchasing and finance.
8 integrated modules · Plan-to-cash · One system of record
96.8%
Schedule adherence
▲ 5.4 pts QTD
8.4
Inventory turns
▲ 1.3 vs target
1.6%
Scrap & rework
▼ 0.9 pts vs plan
Agent activity stream
- AGENT
Capacity agent flagged Assembly at 97%; re-levelled 3 ops to Weld.
- AGENT
MRP raised PO-7712 for the 40mm shaft — 6 days of cover left.
- AGENT
Quality traced NCR-4471 to heat lot 2281; contained 3 work orders.
- READY
Costing brief: job WO-11904 at 112% of estimate; variance brief ready.
- Integrated modules, one core ERP database
- 8Integrated modules, one core ERP database
- Re-keying between the shop floor, the warehouse and finance
- ~0%Re-keying between the shop floor, the warehouse and finance
- System of record for plan, make, stock, cost and quality
- 1System of record for plan, make, stock, cost and quality
- Capacity, material, supplier and quality monitoring
- 24/7Capacity, material, supplier and quality monitoring
Overview
Plan, make, move and cost on one record — not four
Great organisations establish lean processes that are agile and continuously improved over time. That is a process argument, not a software argument — but it is only achievable if the process has somewhere to live.
Complete visibility, end to end
From demand signal to despatch, on one database with no interfaces to reconcile.
Improve lead time & reduce waste
Bottlenecks are visible in the schedule rather than discovered in the backlog.
Product life history & traceability
Every lot, heat number and serial traceable from raw material to despatch.
Synchronise operations globally
Multiple plants running the same process, the same definitions and the same KPIs.
Plan to cash
The six stages of the value chain, running on one database
Modules
8 integrated modules. One connected workflow.
Every module below posts to the same data model, and each carries agents that act on it.
Manufacturing
- Job management — MTO, MTS, assembly
- MES with BOM and routing
- Work order & shop floor control
Supply Chain
- Procurement & supplier management
- Inventory & warehouse
- Goods in, despatch & returns
Planning & Scheduling
- Forecasting & demand planning
- Master production scheduling
- Material requirements planning
Quality Assurance
- Quality manuals & procedures
- Audit & non-conformity management
- Corrective action & risk
Finance Management
- GL, AR, AP, cash management
- Job costing & variance
- Configurable tax
Asset Management
- Reliability & maintenance
- Tool control & calibrations
- Asset location mapping
Project Management
- Projects with WBS
- Estimating & resource planning
- Billing & milestone progress
Human Resource Management
- Employee management
- Payroll & leave
- Time & attendance
Key features
Capabilities that make the operation actually work
Integrated Manufacturing
Job management for make-to-order, make-to-stock and assembly. MES with bill of materials and routing. Work order management and shop floor control. Quality control at the operation, not after the batch.
Quality Management
Quality manuals, procedures and document management. Audit management and non-conformity management. Corrective action requests and risk management. Training, certification, notification and approval workflow.
Asset & Field Service
Reliability management, assets, activities and work orders. Tool control, tools and calibrations. Asset location mapping across the site. Preventive maintenance tracking and after-sales service.
Human Resource Management
Employee management and assignments, payrolls, leave management, time and attendance. An employee self-service mobile app. Labour booked directly to the work order.
Agentic AI
From a planning ERP to an autonomous plant
Sovereign by design — the agentic layer runs inside your own deployment (on-premise, private cloud or sovereign cloud), against your own operational data, under your own permission model. Your records never leave your jurisdiction.
The manufacturing agent loop
Every Athena manufacturing agent runs this cycle continuously against live data — never once, always on
The agent roster
Six agents, one plant, one schedule that holds
Planning
Demand & Supply Planner
Reads Forecast accuracy, order book, MPS, MRP, stock cover
Reasons Where the plan broke: demand, capacity or material
Acts Re-balances the MPS, releases MRP, raises planned orders
Shop Floor
Capacity & Sequencing
Reads Work order progress, work centre load, setup, skills, tooling
Reasons Which work centre is the constraint, and what it is costing
Acts Re-sequences work orders, re-levels load, flags overtime and hire
Supply
Material & Supplier
Reads MRP suggestions, stock cover, supplier OTIF, lead times, open POs
Reasons What will run short, when, and whether to expedite, re-source or re-plan
Acts Raises and expedites POs, re-sources, flags supplier underperformance
Quality
Non-Conformity & Trace
Reads NCRs, inspection results, heat and batch lots, genealogy, CAPA history
Reasons Which lot caused it, what else it touched, and whether it is systemic
Acts Raises the NCR, contains work orders, drafts the CAPA, updates the trace
Costing
Job Cost & Variance
Reads Material issues, labour, sub-contract, overhead, estimate, actuals
Reasons Where the variance sits: material, labour, rework or rate
Acts Flags overrun, drafts the variance brief, proposes estimate correction
Inventory
Stock & ABC Analyst
Reads Stock ledger, issue history, turns, lead times, obsolescence risk
Reasons What is excess, what is at risk, what should move between sites
Acts Reallocates stock, proposes write-down, retunes reorder points
The same production week, run the same way — before and after
Manual process
- MPS run in a spreadsheet; the shop floor finds out what changed on the morning of
- Material shortages discovered at the machine, then chased by the expediter on foot
- Work centre overload found at month end, once the schedule has already slipped
- A defect found in finished goods; the affected lot is traced by hand, if at all
- Job cost reconciled weeks after despatch, so the overrun is already spent
- Slow-moving stock discovered during the year-end audit, after the cash is tied up
- Cycle: 2–6 weeks between a planning or quality problem and anyone being able to act
Athena + agent fabric
- Planner agent re-balances the master production schedule the moment the order book moves
- Supply agent raises and expedites the order from the bill of materials, days earlier
- Capacity agent levels the load across work centres while there is still float to absorb it
- Quality agent traces the defect to heat lot 2281 and contains the three work orders at risk
- Costing agent flags job WO-11904 at 112% of estimate while the parts are still on the floor
- Stock agent reallocates excess between sites and retunes reorder points on live velocity
- Cycle: minutes — a signal becomes a logged, approved, executed action
Agentic operations analytics
Ask your plant a question. Get a governed, cited answer.
Athena pairs the ERP record with an agentic analytics layer that reasons across every forecast, schedule, work order, routing, material issue, inspection, purchase order and cost posting. Ask it in natural language and it writes the query, runs it, charts it, explains it, and cites the exact records behind the answer — so a number in a board pack is always traceable to its source.
Paired with LucidA — Agentic Analytics, the same capability extends across finance, supply chain and workforce, so plant performance is read in the context of the whole enterprise.
Natural-language querying
No report builder — ask in the language the planner and production manager use.
Predictive scheduling
Forecasts slippage, shortages and scrap before they appear in the actuals.
Variance intelligence
Separates material, labour, rework and rate variance rather than reporting one blended number.
Network view
Every plant, work centre, supplier and SKU ranked by exposure in one list.
Which work orders are going to miss their date, and why?
Agent answered · 1.2s · 6 sources cited
- 3 work orders are at risk this week: WO-11904, WO-11911 and WO-11918, all slipping into next week's customer promise date.
- The common cause is not capacity — Assembly has float. It is the 40mm shaft: 6 days of cover left against a 9-day run.
- Of the three, WO-11904 is already at 112% of estimate after 38 hours of rework logged against NCR-4471.
- NCR-4471 traces to heat lot 2281, received 11 days ago — and lot 2282 from the same heat is on the floor now.
- Recommended: expedite PO-7712, quarantine the remaining lot 2282 and inspect before issue, and re-base the estimate on WO-11904 before it despatches.
Agent-scored supply risk
Likelihood against production impact, re-scored from material, supplier and quality history
Full action audit trail
Every agent decision records its inputs, reasoning and the action taken.
Approval gates
Named human sign-off on the action classes you designate. Configurable per workflow.
Sovereign data residency
The agentic layer runs inside your own deployment, against your own data.
Adjustable autonomy
Advise-only, then draft, then autonomous — you change it without redeploying.
Analytics
Set KPIs, monitor, improve continuously
The measures a plant actually runs on, plus the trend that tells you whether they are improving.
Operations scorecard
Configurable across plants and product lines — production review, supplier review or board pack
- Schedule adherence97%
- First-pass yield98%
- Work orders closed on time94%
- Supplier on-time in-full92%
- Jobs within estimate88%
- Capacity utilisation86%
- Material availability at line95%
- Scrap & rework cost2%
Job cost vs estimate
Open work orders
Scrap & rework trend
% of production cost
Capacity vs load
By work centre, this week
Inventory by ABC class
Share of stock value
Capabilities
Cutting-edge technologies. Robust & integrated. Complete & cost effective.
Eight capabilities that the AMC Athena manufacturing deployment is built around.
World-class planning
Demand forecasting, MPS and MRP with finite capacity scheduling.
Improve lead time, reduce waste
Bottleneck visibility and constraint management built into the plan.
Entire manufacturing & assembly
Make-to-order, make-to-stock, sub-assembly and rework in one flow.
Quality standards built in
In-process inspection with full lot and heat-number traceability.
Synchronise operations globally
Multi-plant, multi-currency, one set of definitions.
Complete end-to-end visibility
From demand signal to despatch note, on one record.
Product life history
Full genealogy for warranty, recall and audit.
Maintenance for after-sales
Reliability, tool control and calibration across the installed base.
Where it applies
The same modules, configured to your sector
Athena's manufacturing core is not a fixed vertical product. It is a configurable process, set to your sector's definitions and reporting.
Implementation
Live in weeks, not quarters
A pilot in ten to fourteen weeks, then scale by site, function and route.
Discover
Routing, work centres, demand pattern and current quality escape rate.
Configure
BOM, routings, work centres, cost model and reporting definitions.
Integrate
Shop-floor terminals, machine or IoT feeds, finance interfaces.
Pilot
One product family or one cell, running live end to end.
Scale
Extend line by line, then plant by plant.
Live cost, not month-end
Job cost is visible while the job is still open.
Built for the global plant
Multi-currency, multi-organisation, one set of definitions.
Sovereign & secure
On-premise, private cloud or sovereign cloud in your region.
Outcomes
What changes in the first year
↓ 50%
Schedule attainment shortfall
100%
Lot-level traceability
↓ 90%
Month-end close time
Indicative outcomes from typical deployments. Actual results depend on scope, data quality and process maturity.
FAQ
Manufacturing & Supply Chain — frequently asked questions
The questions procurement, security and engineering ask before the first call.
What is manufacturing and supply chain ERP software?
It is one system that connects the plan, the material, the work order, the inspection and the cost. Conventional point solutions leave the schedule in one system, the shop floor in another and the ledger in a third, so the shop floor discovers a problem that finance already priced. Athena runs all of them on one data model.
What does the Manufacturing module in Athena include?
Job management for make-to-order, make-to-stock and assembly; a MES with bill of materials and routing; work order management and shop floor control; and quality control performed at the operation rather than after the batch, with results linked to the heat or lot number.
Does Athena support both MRP and master production scheduling?
Yes. Demand forecasting and smart demand planning feed master production scheduling, which produces the material requirements plan. Capacity is finite, so the schedule reflects the work centres you actually have, and both the MPS and the MRP are visible and adjustable in the same place.
How does Athena handle quality control and traceability?
Inspection results are captured at the operation and tied to the lot, heat number and serial. A non-conformity automatically contains the affected work orders and holds despatch, and the genealogy — which lots went into which assembly, which assembly went into which despatch — is available immediately for a warranty claim or a recall.
Can Athena manage manufacturing operations across multiple sites?
Yes. Multi-organisation and multi-currency are supported, so plants run the same process and the same definitions while retaining local costing, local statutory reporting and local planning. The agentic layer sees the whole network, which is how it finds the transfer or the alternate source that a single-site view would miss.
How does Athena integrate manufacturing with finance?
Material issues, labour bookings, work order receipts and despatches generate the accounting entries directly, so the general ledger is a consequence of the transaction rather than a separate exercise. Job cost and variance are computed on the same work order, giving finance a booked cost it can trust while the job is still open.
What does the asset and maintenance management add for a manufacturer?
It carries the installed base: reliability management, assets, activities, work orders, tool control and calibrations, asset location mapping and preventive maintenance tracking. For a manufacturer this is what turns an after-sales obligation into a managed programme rather than a fire drill.
How does the HRMS module fit into a manufacturing deployment?
Employee records, payroll, leave and time and attendance are part of the same suite, and labour is booked against the work order rather than a separate timesheet. That means capacity planning is built on real availability, and job cost includes the labour that actually produced it.
How does agentic AI automate manufacturing and supply chain?
Athena deploys goal-driven agents running a continuous sense–reason–plan–act–learn loop over live plant data. They sense schedule, stock, quality and cost exceptions; reason about the real driver — a constraint, a lot, a supplier, a routing — rather than reporting the number alone; plan the cheapest correction; and act by re-levelling the schedule, raising purchase orders, containing lots or re-forecasting job cost. Every action is permissioned, logged and reversible.
Which industries does Athena serve?
Manufacturing, logistics, oil and gas, aviation, construction, power and energy, maintenance, trading and retail, shipping, healthcare, telecoms and supply chain. In each case the manufacturing core is configured to that sector's definitions, routings and reporting rather than replaced with a vertical product.
Can Athena be deployed on-premise?
Yes. On-premise, private cloud or sovereign cloud region. This matters where process know-how, cost build-ups and supplier data are commercially sensitive, and the agentic layer runs inside the same deployment, against your own data, under your own permission model.
See manufacturing & supply chain run on Athena
We will configure a working scenario around an operation like yours, switch the agentic layer on live, and let you judge it against real work rather than a slide.
A working demo, not a slideshow
Configured around a scenario like yours.
Sovereign deployment options
On-premise, private cloud or sovereign cloud.
Phased rollout
Pilot first, then scale by site and function.
A5, Dubai Digital Park
Dubai Silicon Oasis, United Arab Emirates.