Platform overview
The governed execution layer for enterprise AI agents
One platform. Many agents. Every workflow. Makez.ai captures business events, understands what they mean, decides what to do, and acts, so your team steps in only when a decision truly needs a person.
Live in production across industries
Built for how you work
One platform, three ways in
Every team gets agents tuned to their own workflows, but they all run on the same reasoning engine, memory and governance layer underneath.
For business teams
AI agents that handle the busywork end to end.
- Contextual task inbox
- Operational search across every tool
- Smart notification center
For operations
AI agents that monitor every event and take action.
- Real time inventory control
- Demand forecasting
- Vendor management
For finance & back office
AI agents that automate every transaction end to end.
- Invoice processing
- Order tracking
- Contract analysis
The enterprise AI opportunity
Every enterprise is investing in AI. Most are doing it in fragments.
Enterprises are deploying dozens of disconnected copilots and point AI tools across departments, with no shared governance, no unified security model, and no way to measure enterprise wide ROI.
Hundreds of AI tools
Fragmented pilots with no common platform tying them together.
No governance
AI adoption outpaces policy and oversight across the business.
Security concerns
Sensitive enterprise data exposed to unmanaged tools.
Data silos
Disconnected systems block enterprise wide context.
Shadow AI
Unsanctioned tools operating outside IT visibility.
No measurable ROI
Pilots that never scale into real business impact.
Not a single product
Makez.ai is a platform for building your own network of AI agents
Agents do not work in silos. They connect to each other, hand off context, and complete workflows together across the business.
Purpose built agents
Not one fixed application. Many specialized agents across the business, each tuned to a real workflow.
Shared context
Every agent draws on the same up to date picture of your operations, updated the moment anything changes.
Governed by default
Enterprise policy, approvals and audit trails, built in from day one, not bolted on later.
The complete architecture
Five layers, one governed system
From where people meet an agent, through the reasoning and domain knowledge that power it, down to the systems and permissions it runs on, all wrapped in one security foundation. Every layer is real, live infrastructure, not a slide.
Experience Layer
Where people meet the agentsAgents show up wherever your team already works, inside the Makez.ai web app or embedded directly in your own portals, no separate login for staff to remember.
Intelligence Layer
Memory, reasoning and the execution loopWhat just happened
Short term, every order, message and system event as it arrives.
Who and what it involves
Long term record of vendors, customers, accounts and documents.
How your business runs
The playbooks and approval steps each agent has learned to follow.
Vertical Intelligence Layer
Domain knowledge that grows as your business growsShared memory is the foundation, but a claims adjuster and a production planner do not speak the same language. On top of the Intelligence Layer, every industry gets a tuned layer of vocabulary, workflows and compliance checkpoints, and it keeps learning the longer an agent works in your business.
Plus energy & utilities, construction & engineering and field services, with more depth added to every vertical each quarter.
Tools & Integration Layer
Where agents connect, and where governance livesAgent Builder & Governance
Platform Management
Agent builder
Design and ship agents without rewriting your enterprise
A visual workflow designer lets platform and business teams compose, test and deploy agents using reusable, governed building blocks.
No-Code / Low-Code
Compose agents visually, no ground up engineering.
Reusable Components
Shared connectors, prompts and logic blocks.
Agent Templates
Pre built patterns for common enterprise workflows.
Versioning
Every change tracked, reviewed and rolled back safely.
Testing
Simulate agents against real data before go live.
Deployment
One click promotion from sandbox to production.
Solid ground, in every industry
Three core offerings under every workflow
Whichever industry or agent you start with, these three are ready from day one, independent, no separate tools to buy or license.
Document Management
LightA built in, versioned and searchable place for every file an agent touches.
CRM
LightContacts, accounts and interaction history, no separate CRM license required to start.
Intelligent Document Processing
Core engineThe full fledged engine behind the Document Agent, production scale extraction and routing.
Cost efficient by design
Not every step needs an LLM
Makez.ai routes each step to the cheapest reliable tool that can do the job. Which LLM, or no LLM, handles each module is configurable in Agent Builder, so cost stays under your control.
HTML / DOM Parser
Structured extraction from portals and pages.
Deterministic Rule Engine
Tolerance band business rules, evaluated instantly.
Regex & Pattern Scripts
Reference numbers, UTRs and invoice IDs extracted by pattern.
OCR + Template Extraction
Template based extraction for structured documents.
Custom Script Actions
Repetitive steps, login, download, post, scripted directly.
Fuzzy Matching Algorithms
Name and reference matching via edit distance.
Cached & Indexed Lookups
Repeated queries served from cache, not re run inference.
Workflow Orchestration Engine
A deterministic state machine, the LLM is invoked only where judgment is genuinely needed.
Your choice of model
Swap enterprise LLM providers without rebuilding the workflow around them.
Choose which LLM, or no LLM at all, handles each module or tool based on your accuracy, latency and cost needs. See real spend by handler type in Observability.
Observability
Full visibility into every agent, from three different views
Platform teams and business stakeholders rarely want the same numbers. Observability gives each their own view, backed by the same underlying data.
| Agent | Status | Runs, 24h | Success |
|---|---|---|---|
| Reconciliation Agent | Healthy | 4,812 | 99.1% |
| Document Agent | Healthy | 3,910 | 98.6% |
| Order Tracking Agent | Degraded | 2,145 | 94.2% |
| Catalog Agent | Healthy | 1,560 | 99.4% |
| Workflow | Owner | KPI moved | This month |
|---|---|---|---|
| Bank reconciliation | Finance | Hours to close | -38% |
| Vendor invoice matching | AP | Days payable outstanding | -6 days |
| Order exceptions | Operations | Late shipment alerts | +22% |
| Handler | Share of steps | Cost per 1,000 runs |
|---|---|---|
| Deterministic rules & regex | 52% | $0.00 |
| OCR + template extraction | 21% | $1.40 |
| Cached & indexed lookups | 10% | $0.05 |
| Enterprise LLM, judgment calls | 17% | $18.60 |
Sample dashboard. Figures shown are illustrative, not live customer data.
Trust, security & responsible AI
Nothing an agent does happens in the dark
Every action is logged and reviewable. You decide where a human signs off, and where Makez.ai just handles it.
Full audit trail
Every action an agent takes is logged, timestamped and reviewable end to end.
Role based access
Fine grained control over who can view, edit or approve what, by workspace and team.
Human approval controls
You set the confidence thresholds, anything uncertain routes to a person automatically.
Data encryption
In transit and at rest, with configurable retention to match your compliance needs.
Built for regulated industries, including financial services and insurance.
Security & compliance roadmap
Built for regulated, data sensitive environments
From today's enterprise grade controls to sovereign, on premise deployment, a phased path matched to your data residency needs.
- RBAC, SSO & full audit trail on every action
- Data encrypted at rest & in transit
- VPC / private network deployment option
- Enterprise LLM providers under DPA, no training on customer data
- Customer VPC / on premise hosted inference option
- Zero data retention mode with LLM providers
- Field level data masking before any LLM call
- SOC 2 Type II / ISO 27001 certification
- Data residency & regional regulatory empanelment alignment
- Model agnostic architecture, swap LLMs, workflows unchanged
- Full on premise, air gapped deployment option
- Sovereign LLM support, regionally hosted and open weight
Why teams pick Makez.ai
Built to fit the business you already have
Not One Tool
A governed platform for building many purpose built agents, not one fixed application.
Interconnected
Agents share context and hand off work to each other across workflows, not in isolated silos.
Secured & Governed
Every agent runs inside enterprise policy, access control, approvals and full audit trails.
Compounding Impact
As more agents connect, efficiency gains and cost reductions compound, fast tracking growth.
Business impact
The impact, in numbers
Real outcomes teams see after putting Makez.ai to work.
Hours given back to each team, every quarter
Extraction accuracy, so exceptions stay rare
Product listings kept accurate, automatically
Pieces of content published without new hires
Of runs finish without anyone stepping in
These are platform wide outcomes across the Makez.ai customer base. Individual results vary by workflow and starting point.
Customer proof
Trusted by customers, growing
From manufacturing and financial services to construction, automation, and energy, live deployments spanning industries, with room on the roster for what comes next. See more in Customer Stories.
Orient Exchange, KYC automation
Deployed across 25+ branches nationwide"The partnership moved Rehabmart beyond AI experimentation and into real business outcomes. Purchase order automation was the entry point, success there led to a wider rollout across finance and back office operations, each with its own measurable ROI."
Hulet Smith, CEO, RehabmartCommon questions
Platform questions, answered
Makez.ai is not one fixed application. It is a governed platform for building a network of purpose built agents that share context, hand off work to each other, and complete workflows end to end, all under one policy and audit model.
No. Makez.ai routes each step to the cheapest reliable tool that can do the job, deterministic rule engines, regex extraction, cached lookups, or OCR templates, and reserves LLM inference for genuine judgment calls. You can configure which model or method handles each module.
On top of the shared Business Context Engine, each industry gets a tuned vertical intelligence layer, the vocabulary, workflows and compliance checkpoints specific to that sector, so an agent for insurance claims behaves differently from one for manufacturing exceptions.
One console tracks agent health, business impact and cost and usage, giving platform teams and business stakeholders separate views backed by the same underlying data, including token spend, latency, failures, human reviews and the business KPIs each agent is expected to move.
Yes. Today Makez.ai runs with enterprise LLM providers under a data processing agreement, with encryption and RBAC live now. A customer VPC or on premise inference option and zero data retention mode are on the near term roadmap, with full air gapped and sovereign LLM deployment planned further out.
Eight purpose built agents are live today, covering documents, reconciliation, order tracking, catalog, contacts, content, insights and workflow orchestration, with new agents shipping regularly as the roadmap expands.
How we work together
Start with one workflow. Prove it. Then scale.
No big bang rollout. Every engagement starts small, on purpose.
Discover
Map your highest friction workflow and connect it to Makez.ai, alongside your existing systems.
Prove
The first agent goes live on a real workflow. You see hours saved and errors caught, not a demo.
Scale
Add agents across finance, operations and sales as each one proves its return.