Quote preparation
Quote for welded frames for a new customer
- Scope
- 40 frames, delivery within 6 weeks
- Prepared by
- Quote preparation agent
The customer asks for a 12% discount, the agent’s limit is 8%.
Operations that run around the clock
Let systems handle routine work. Let people make the decisions.
Agents work through the night. They finish repeatable work and flag risks to you in good time. From reaction to prediction.
- Production planningPlan recalculated
- Dispatch6 shipments booked
- Purchasing3 requests for quotes sent
- Quote preparation2 quotes ready
- Invoicing11 payments matched
- PredictionSheet runs out in 12 days
- 2 decisions are waiting for you
Example
What one selected process looks like
For a selected process we design the connection of data and individual steps across the systems you already use. Automation and AI prepare or carry out the agreed tasks. Uncertain cases and sensitive decisions go to named people. The scope depends on your company’s data, access and rules.
- A document arrivesThe system processes it, files it and finds the supporting material.
- Material is preparedAutomation and AI prepare the next step from data you already hold.
- A person approvesA named person decides on the next step. Uncertain cases go to them for review.
Illustrative scenario. We design the actual implementation around the client’s environment.
Permissions
What an agent is allowed to do
For each function, the permitted level is agreed in advance.
Agent autonomy
1. Monitor Read information, check conditions and flag a problem. Example: Detect an order that may miss its deadline.
Illustrative example — no client data
Incoming invoice
- Invoice checkSystem does it
- ProposalDone by a person
- Recording the outcomeDone by a person
- Next stepDone by a person
- Sending the paymentAlways approved by a person
At every level, an unclear situation goes to a person.
In the proposed process, a person always approves payments and similarly sensitive steps.
One memory for the whole company.
It collects what happens across the business and passes it to whoever needs it.
What flows in
- Email and Teams
- ERP
- CRM
- Documents and contracts
- Warehouse and production
- Accounting
Company brain
It remembers what people forget.
- Customers and orders
- Decisions and reasons
- Rules and limits
- What worked
Where it sends it
- AgentsContext for their work.
- PeopleA task with the facts.
- ManagementThe view now and ahead.
Sensitive data stays in your Microsoft 365 or private Azure tenant. Rules decide what may reach public models.
Morning management overview
In the morning you know what the agents did and what is waiting for you.
The company brain also flags what is coming.
Waiting for your decision 2
Purchasing
Sheet metal order from a new supplier
- Quantity
- 6 t of S235 sheet
- Comparison
- 3 offers, this one is the cheapest
The supplier is new and the order is above the agent’s limit.
Done since yesterday
- Prediction
S235 sheet runs out in 12 days. Order 2047 at risk.
WarehouseERP - Invoicing
11 payments matched, 2 reminders prepared.
BankERP - Quote preparation
2 quotes ready, 1 waits for discount approval.
CRMERP - Purchasing
3 requests sent, replies compared.
EmailERP - Dispatch
6 shipments booked, delivery notes ready.
ERPCarriers - Production planning
Thursday's plan recalculated after 2 orders moved.
ERP
Agent team 6
- Order intakepreparing
Reading 2 new orders from email
- Quote preparationwaiting for you
A quote is waiting for discount approval
- Production planningdone
Thursday plan recalculated
- Purchasingwaiting for you
Sheet metal order waiting for approval
- Dispatchpreparing
Preparing labels for the afternoon pickup
- Invoicingdone
Yesterday's invoices issued
Illustrative example — a fictional manufacturer. Figures and events are made up for the demo.
From reaction to prediction
Today the business reacts. Agents help it act earlier.
From reaction through overview to prediction. Each stage builds on the data from the one before.
1Reaction · today
You learn about a problem once it happens.
A customer chases, material is missing, an invoice is overdue.
2Overview · with agents
In the morning you know what happened and what waits for you.
Agents finish routine work overnight. Only decisions are left on your desk.
Morning overview →3Prediction · with the company brain
See risk earlier and decide ahead of time.
Material may run short, an order may miss its date. Every estimate shows its inputs and limits.
Company brain →Getting started
Start small. Expand when the results justify it.
The way in is a 30-minute call. Three phases follow, each scoped separately.
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Where time is lost and what is worth fixing first.
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People really use the new tools. We measure it.
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Connected systems and agents. A person approves sensitive steps.
Automation Map · Illustrative example, no client data
- bottlenecks
- priorities
- expected return
- workshops
- rules for AI
- usage before and after
- connected systems
- human approval
- more agents as results allow
FAQ
Frequently asked questions
01Do we need to replace our ERP?
No. We first assess connections to your existing systems. The design depends on available interfaces, permissions and data quality.
02What happens if an agent makes a mistake?
We design checks, logging, monitoring and escalation for uncertain or unexpected results. A human owner handles exceptions. The appropriate safeguards depend on the risk of each action.
03How is company data protected?
We design the company brain so that sensitive data stays in your environment. Each implementation has agreed access rules, data-handling arrangements and human approval points. We describe which services process data and where they do it.
04Is this an off-the-shelf product?
No. We scope and implement the solution around your environment. All examples on this page are illustrative designs.
05What does it cost?
The cost depends on the selected process, integration requirements, software and operating needs. We provide a proposal after reviewing those conditions.
06Where does this approach make sense?
It works best when a repeated process crosses several employees or systems, has clear business ownership and uses data that can be accessed reliably. It is usually not worth building a complex agent for a one-off task or a process with no clear owner. See examples by sector on the Industries page.
07Who builds the system?
The agentic system is built and run by ENTER's engineering team, backed by a vetted partner delivery network. We design integrations, automation, AI agents and custom software. The scope of operation and support after go-live is set in the contract. How we build IT projects
Where is your company only reacting today?
Tell us about one process, where it gets delayed and which systems are involved. In a 30-minute call, we will discuss whether and where it makes sense to start with an Audit.
The initial call is an introduction. The Audit and any further work are scoped and agreed separately.