Connect business context, specialist agents, and governed execution in one system. KaziAI brings the conversation, the proposed action, and the outcome into the same operational record.
A shared operating layer across enabled business modules and configured integrations.
Each layer has a distinct responsibility. Explore what enters a stage, what comes out, and which control belongs at that boundary.
The gateway resolves the authenticated user and company, attaches a conversation session, and records the message.
This diagram describes the architecture in the project. Enabled modules, configured tools, and the request path determine which stages a particular workflow uses.
Explore the execution, intelligence, and control capabilities that make up the KaziAI workspace.
8 capabilities
Conversation sessions, specialist routing, agent instances, and coordinated responses.
A business request reaches the agent and context it needs.
Break goals into tasks, track dependencies, pause for review, and inspect execution progress.
Work has an owner, a sequence, and a visible state.
Combine document retrieval, business entities, relationship context, and memory.
Answers draw on business information rather than an isolated prompt.
Define who can act, which actions require review, and how the activity is recorded.
Business owners can inspect and approve consequential actions.
Connect external systems, register event triggers, and expose tools through API and MCP interfaces.
Business context and actions can cross system boundaries.
Configure model providers, routing policy, prompt versions, and a KaziLite serving endpoint.
Choose inference providers according to the workload and data policy.
Inspect model usage, budgets, agent activity, request history, and system health.
Teams can trace operations and assess the cost of a pilot.
Integrate with the authenticated API, asynchronous jobs, batch operations, and evaluation services.
Extend business workflows while keeping their execution visible.
Seeded agent roles give each department its own instructions and routing criteria. The orchestrator brings several specialists into requests that cross departmental boundaries.
Invoices, expenses, payments, VAT, and cash flow.
“Show outstanding invoices and explain the collection risk.”
list_invoicescreate_invoicegenerate_reportFinancial writes are subject to tool and company approval rules.
Lead records, customer context, quotations, and pipeline activity.
“Find a prospect and prepare the next sales follow-up.”
list_leadscreate_leadsearchReview customer-facing content and verify prices and commercial terms.
Employee records, attendance, onboarding, and people operations.
“Coordinate the tasks for a new employee’s first week.”
list_employeesget_employeeclock_inRestrict access to employee information and define who approves each task.
Projects, task assignments, scheduling, and operational reporting.
“Create a project plan and identify the dependencies.”
list_projectscreate_taskupdate_task_statusCheck owners, dates, dependencies, and access before executing a plan.
Contracts, policy questions, compliance context, and document review.
“Review a policy and identify the clauses that need attention.”
searchgenerate_reportThe seeded agent requires approval. Legal judgment remains with your reviewer.
Customer issues, help-desk records, and knowledge-based responses.
“Turn a reported customer issue into a structured support ticket.”
create_ticketsearchVerify the issue, severity, customer details, and escalation path.
Stock, procurement, vendors, and supply-chain questions.
“Review stock risk and prepare a procurement recommendation.”
searchgenerate_reportAvailable stock and purchase tools depend on the enabled business modules.
Coordinates requests that span several business departments.
“Plan a new branch across finance, people, legal, and operations.”
Specialist delegationPlan dependenciesResult synthesisCheck the combined plan and its approval points before downstream actions.
Documents, business entities, relationships, and session history answer different parts of the same question.
Upload knowledge, organize categories, and use hybrid search to retrieve relevant material. The source information still needs an owner and an update process.
The company graph supports neighborhoods, paths, influence, and anomaly queries. It helps connect related entities when the relationships are populated and current.
Session history, stored memories, and feedback help maintain context across work. Define what should be retained, who can access it, and when it should expire.
The backend includes provider routing, model policies, versioned prompts, and a KaziLite serving adapter. The appropriate setup depends on task capability, data policy, and operational capacity.
Use the provider implementations and routing policy for permitted workloads. Check the data sent to each provider, service terms, task capability, and cost.
A model workstream with training data, adapters, and evaluation assets, connected through an OpenAI-compatible serving interface.
Match workloads to permitted providers according to context, capability, and data boundaries. Test what happens when a model or endpoint is unavailable.
Evaluate the checkpoint and serving configuration against representative business requests, structured arguments, approval behavior, and failure cases before enabling it for a pilot.
Request and correlation identifiers, tool results, session history, and audit records make operational activity inspectable.
Usage analytics and department, agent, and model cost views support a pilot’s cost and performance review.
Plan verification criteria and evaluation services provide a place to record whether the requested business outcome was achieved.
Scope the business outcome, identify the controls, and define what a successful pilot must prove.