The whole business.
A new kind of intelligence.
KaziAI is being built to connect the records, people, and decisions that make a business run—with intelligence that understands the context and coordinates the next move.
One signal.
A whole-business perspective.
A late project affects a customer, a team, and a financial commitment. Explore how the operating model brings those relationships into the same decision.
A project delay is also a customer and cash-flow question.
“Review the launch blockers and prepare a coordinated recovery plan.”
The launch depends on a blocked task. Review its owner’s workload, the customer commitment, and the related invoice before changing the delivery plan.
Milestone awaiting a dependent task
Availability and assigned work
Promised outcome and handoff
Collection and payment context
An invoice is never
just an invoice.
It belongs to a customer. It reflects a commitment. That commitment depends on a project, a team, and the resources to deliver.
KaziAI’s ambition is to make these relationships part of how the business thinks and works—bringing operational records, decisions, and accountable actions into one connected system.
Read the thinking behind KaziAIcontext
From the first conversation
to the final invoice.
KaziAI’s business foundation spans the customer lifecycle, money, delivery, workforce, supply, and service. Intelligence belongs across that foundation.
Customers & revenue
Leads & deals · Clients & contacts · Proposals & estimates
Finance & cash flow
Invoices & recurring invoices · Expenses · Payments & credit notes
Projects & delivery
Projects & milestones · Tasks & subtasks · Gantt dependencies
People & workforce
Employee profiles & departments · Attendance & shifts · Leave
Supply & assets
Vendors & purchase orders · Inventory & stock adjustments · Purchase bills
Service & knowledge
Support tickets · Ticket categories & channels · Knowledge base
Core ERP records and optional modules form the operational base. Enabled modules define the scope of each workspace.
Explore the business systemThe business system.
The intelligence around it.
A shared architecture connects the data the business operates on, the agents that coordinate work, and the people who set its direction.
Coordinate a goal.
Across the business.
Department specialists, orchestration, planning, registered tools, and review gates bring structure to work that crosses teams.
Understand what is changing.
And why it matters.
Company relationships, executive views, risk signals, retrieval, and outcome feedback put business context around the decision.
Explore intelligence CONNECTED OPERATIONSWork with the systems
already in the business.
Enterprise connectors, event contracts, webhooks, and MCP extend the operating layer across configured services.
Explore integrationsSee the signals.
Bring the right response.
Executive intelligence brings financial direction, customer risk, project delays, and resource context into the conversation. Scheduled checks and event-driven workflows extend the architecture beyond an individual request.
Financial direction
Cash-flow outlook and unpaid invoices
Customer attention
Account patterns and collection exposure
Operational readiness
Project delays and resource pressure
Next decisions
Evidence, owners, and proposed follow-ups
Intelligence that can do more.
Authority that stays with you.
The direction is broader than conversational assistance. Explore how context, proposals, coordination, and proactive monitoring change the operating model—and the responsibility at each level.
Ask with the business in context.
Retrieve the relevant records, documents, and relationships. Make the reasoning and evidence available to the person making the decision.
“Which accounts need a receivables review?”HUMAN RESPONSIBILITY
A person decides how to use the answer.
Business context.
Structured decisions.
Domain-specific evaluation.
The model should understand
the business it serves.
KaziLite is our domain-model workstream, shaped around KaziAI’s business language, tool contracts, routing, and planning tasks. It makes model specialization part of the platform’s long-term direction.
Training datasets, adapter artifacts, evaluation assets, and an OpenAI-compatible provider interface connect the research work to the operating system.
Meet KaziLiteBuild the capabilities
your work calls for.
AI Studio makes the platform extensible through agents, skills, workflows, prompts, approval rules, dashboards, and connectors. Package reuse and a skills marketplace turn business-specific definitions into a wider ecosystem.
- 1TriggerA business event or scheduled review
- 2ContextRetrieve the relevant business records
- 3IntelligenceUse a specialist and a defined skill
- 4DecisionApply the configured approval rule
- 5OutcomeRecord the result and reviewer feedback
Define. Validate. Evaluate. Reuse.
A business that sees what’s changing.
Coordinates its next move.
Learns from the outcome.
That is the direction of KaziAI: a connected business operating system, an extensible intelligence layer, and a model workstream built around the realities of business work.
Explore the full visionThe questions
behind the vision.
What makes KaziAI a business operating system?+
The project combines a substantial business-record foundation with an intelligence and execution layer. Customers, invoices, projects, employees, and optional business modules provide operational context; agents, knowledge, planning, controls, and integrations connect that context to business work.
Where does KaziLite fit?+
KaziLite is the project’s domain-model workstream: training examples grounded in KaziAI’s routing, tool schemas, planning, and business tasks, plus adapters, evaluation assets, and a serving interface. It complements configurable cloud providers. The KaziLite page separates the training approach from measured model capability.
Can KaziAI act before a user asks?+
The source includes scheduled checks, event-driven workflows, insight generation, and goal cycles for proactive agent teams. A configured cycle needs current data, enabled tools, authorization, and a defined review boundary. These capabilities must be evaluated in the target environment.
Can we build capabilities specific to our business?+
AI Studio supports definitions for agents, skills, workflows, prompts, approval rules, dashboards, and connectors. Package import/export and the skills marketplace provide reuse mechanisms. Each definition still needs its tools, permissions, and behavior validated.
How does the vision translate into a first implementation?+
Start with a workflow whose records, decision owner, and useful outcome are clear. Connect the relevant business context, evaluate the chosen model and tools, and test the review process. Expand from that evidence toward more coordinated and proactive operations.
Begin with a workflow.
Build toward a system.
Choose a real business problem. Connect its context, define the decision owners, and evaluate what useful intelligence looks like for your team.