AI Agents That Run Your Business Operations
Makez agents capture what's happening across your business, understand what it means, decide what to do, and act - across finance, manufacturing, supply chain, retail and more - so your team steps in only when a real decision needs a person.
See Makez in action
The same screens your team would actually use - reconciling invoices, tracking every order, and keeping every agent's work visible in one place.
One platform. Three teams that feel it immediately.
Makez isn't a tool you learn - it's a set of agents that slot into the job each team already does, and take the repetitive parts off their plate.
For Business Teams
Documents, catalogs, contacts and content - handled end-to-end, without anyone re-typing a thing.
For Operations
Orders, shipments and inventory watched in real time - and acted on, not just reported on.
For Finance & Back Office
Every invoice, receipt and payment matched and closed out - without the month-end scramble.
If it's repetitive and rule-based, there's already an agent for it
Document Agent
Reads and routes invoices, KYC forms & contracts
Reconciliation Agent
Matches invoices, POs & delivery notes
Order Tracking Agent
Watches every shipment, alerts on delay
Catalog Agent
Turns supplier sheets into live product pages
Contact Agent
Scans business cards straight into your CRM
Content Agent
Researches, writes & publishes on schedule
Insights Agent
Explains what happened, why, and what's next
Workflow Copilot
Describe the workflow, Makez builds the agent
Three core offerings under every workflow above
Whichever industry or agent you start with, these three are ready from day one - independent, no separate tools to buy, license or stitch together.
Document Management Light
A built-in place for every file an agent touches - versioned, searchable and linked back to the record it belongs to.
CRM Light
Contacts, accounts and interaction history built in, so agents like Contact and Insights have somewhere to write what they learn - no separate CRM license required to start.
Intelligent Document Processing Core engine
The full-fledged engine behind the Document Agent - high-accuracy extraction, validation and routing for invoices, KYC forms, contracts and scans at production scale.
From a business event to a finished action
The same five steps happen under every agent - the only thing that changes is the workflow.
Capture
Every order, document, message and system event, from the tools you already run.
Understand
What just happened, in plain business terms - not raw data.
Decide
What should happen next, and why - with the reasoning laid out.
Act
Create, update, notify, approve, dispatch - the actual work, done.
Learn
Every outcome feeds back in, so the next decision is sharper.
Business impact, in numbers
Multiple end-to-end workflows, per industry
Pick an industry to see the hero workflow plus the other business problems Makez already solves there - each one a real chain of events from signal to finished outcome.
"What's going wrong on the floor - and what do we do about it?"
Makez connects your ERP, MES, WMS and machine data, so when something goes wrong, your team gets the cause and the fix - not just an alert.
Follow one order from quote to cash - automatically
Makez checks contract terms, pricing, credit, inventory and warehouse allocation for every order, and shows exactly where a transaction is stuck before it becomes a collections problem.
Not "sales are down" - the reason, and the fix
Instead of a dashboard telling you a SKU underperformed, Makez explains that it's out of stock at your busiest locations, that replenishment POs are delayed, and recommends reallocating inventory - then can execute it.
What's at risk, why, and what to do about it
Makez continuously watches orders, inventory, suppliers, warehouses and carriers together, so a delay gets caught and resolved before your customer has to ask where their shipment is.
From sensor anomaly to a closed work order
An anomaly is detected, its severity assessed against asset history, spare parts and technician availability are checked, and a work order is created and dispatched - with the fix verified automatically.
See the schedule risk before it becomes a delay
Makez reads contracts, schedules, RFIs, submittals and change orders together, and flags which combination of events is likely to push out your timeline - with a recovery plan attached.
One call in, one closed ticket out
A customer reports a broken unit. Makez checks their warranty and service history, diagnoses the likely issue, checks parts and technician availability, schedules the visit, and closes the loop with an invoice.
Thousands of transactions, sorted without a spreadsheet
Makez ingests transactions, classifies and reconciles them, detects exceptions, gathers the supporting evidence, and routes only what actually needs a human decision.
From first notice of loss to a closed, paid claim
Coverage is checked, documents are collected, fraud signals are reviewed, and a settlement is recommended and routed for approval - with every step logged for compliance.
What teams say after switching to Makez
We stopped experimenting with AI and started seeing it show up in the numbers. Purchase orders were the first thing off our plate - now it's finance and back-office work too, each one paying for itself.
"Five agents in, and each one still pays for itself."
Makez.ai is a platform for building your own network of AI agents
Agents don't work in silos - they connect to each other, hand off context, and complete workflows together across the business.
Not One Tool
A governed platform for building many purpose-built agents across the business, not one fixed application.
Interconnected
Agents share context and hand off work to each other, coordinating across workflows instead of running in isolated silos.
Secured & Governed
Every agent runs inside enterprise policy - access control, approvals, and full audit trails, by default.
Compounding Impact
As more agents connect across workflows, efficiency gains and cost reductions compound - fast-tracking growth.
Frequently asked questions
Straight answers to what business teams actually ask before bringing in an AI agent.
How long before we see results?
Most teams have their first workflow live within a few weeks, using pre-built agents and integrations instead of starting from scratch. You'll see the impact - hours saved, fewer errors - well before a full rollout.
Will this replace people on my team?
No - it removes the repetitive parts of their job. Agents handle the reading, matching and routing; your team handles judgment calls, exceptions, and the relationships that actually need a person.
What happens if the AI gets something wrong?
Anything below your confidence threshold gets routed to a person automatically, and every action is logged so you can see exactly what happened and why. You set where human review is required.
Do you have a solution for my industry?
Makez runs hero workflows across nine industries today - manufacturing, distribution, retail, logistics, energy, construction, field services, financial services and insurance - each tuned to that industry's systems and terminology.
Do we need to change our existing systems?
No. Makez connects to the ERP, CRM and tools you already use - from data warehouses to internal systems - without requiring a rebuild or migration.
How is our data kept secure?
Every agent action is logged and auditable, access is role-based, and compliance is built into the platform from day one - not bolted on afterward. You control exactly where human sign-off is required.
Who sets up the agents - us or Makez?
Either. Most teams start with a pre-built agent and adjust it with our Workflow Copilot by describing the change in plain English - no engineering team required. For custom workflows, our team can build alongside yours.
What does it cost to get started?
Pricing scales with the work you automate, starting with a single workflow. Book a demo and we'll walk through what it looks like for your team specifically.
Tell us what you're trying to automate
No forms full of dropdowns. Just tell us the problem - we'll come back with exactly how Makez would solve it.