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Applied AI for enterprise

Build intelligence into your operations.

Orbyte designs and deploys AI agents, intelligent workflows and enterprise software that connect with your data, systems and teams.

Discuss an AI initiativeExplore capabilities
  • APPROVED INFORMATION
  • HUMAN APPROVAL
  • MEASURED OPERATION
ORBYTE INTELLIGENCE ARCHITECTUREREFERENCE MODEL

Architecture diagram. Requests from customers and employees arrive through voice, chat, web or app, and API channels into the Orbyte Intelligence Layer: knowledge, reasoning, agents, orchestration, guardrails and human approval. Approved actions then reach enterprise systems: CRM, ERP, data warehouse, documents, ticketing and internal APIs, and the response returns along the same path.

01SOURCES02CHANNELS03INTELLIGENCE04SYSTEMSCustomersEmployeesVoiceChatWeb / AppAPIORBYTE INTELLIGENCE LAYERREADYM01KnowledgeM02ReasoningM03AgentsM04OrchestrationM05GuardrailsM06Human approvalCRMERPData warehouseDocumentsTicketingInternal APIs
  1. 01SOURCES
    • Customers
    • Employees
  2. 02CHANNELS
    • Voice
    • Chat
    • Web / App
    • API
  3. 03INTELLIGENCE
    ORBYTE INTELLIGENCE LAYERREADY
    • M01Knowledge
    • M02Reasoning
    • M03Agents
    • M04Orchestration
    • M05Guardrails
    • M06Human approval
  4. 04SYSTEMS
    • CRM
    • ERP
    • Data warehouse
    • Documents
    • Ticketing
    • Internal APIs
  • REQUEST
  • APPROVED
  • APPROVAL REQUIRED
ILLUSTRATIVE FLOW

Capabilities

One intelligence layer.Across your operations.

Four areas where Orbyte puts AI to work. Each one is connected to your systems, your data and your people.

    • Chat and voice agents that answer from approved information
    • Human handoff for complex cases
    • Payment reminders
    • Conversation analysis
    • Consistent service across voice, chat, web and app
    System view · 01
    InputsOutcomes
    Voice
    Chat
    Web / App
    AgentService agentapproved knowledge
    CRM record
    Human handoff
    Reminder sent
    Inputs
    VoiceChatWeb / App
    AgentService agentapproved knowledge
    Outcomes
    CRM recordHuman handoffReminder sent
    grounding
    approved sources
    handoff
    low confidence
    channels
    voice · chat · web

System view01 / 04

Customer Intelligence

InputsOutcomes
Voice
Chat
Web / App
AgentService agentapproved knowledge
CRM record
Human handoff
Reminder sent
Inputs
VoiceChatWeb / App
AgentService agentapproved knowledge
Outcomes
CRM recordHuman handoffReminder sent
grounding
approved sources
handoff
low confidence
channels
voice · chat · web
Capabilities
  • 01Chat and voice agents that answer from approved information
  • 02Human handoff for complex cases
  • 03Payment reminders
  • 04Conversation analysis
  • 05Consistent service across voice, chat, web and app

Platform

The Orbyte Intelligence Layer.Five layers. One governed system.

Every deployment is assembled from the same five layers, from the channel a request arrives on to the controls that govern what an agent may do.

Orbyte / Reference architectureL01 — L05
↓ Inbound request
  1. L01

    Channels

    Where requests arrive.

    • Voice
    • Chat
    • Web / App
    • Messaging
    • API
  2. L02

    Intelligence

    Understanding, retrieval and reasoning over approved knowledge.

    • Knowledge retrieval
    • Speech recognition
    • Reasoning
    • Conversation analysis
    • Language models
  3. L03

    Orchestration

    Agents and workflows that decide the next step.

    • Agents
    • Workflows
    • Tool calls
    • Human handoff
    • Approval flows
  4. L04

    Enterprise systems

    The systems of record agents read from and write to.

    • CRM
    • ERP
    • Data warehouse
    • Documents
    • Ticketing
    • Internal APIs
  5. L05

    Governance

    Controls applied to every layer above.

    Spans all layers
    • Role permissions
    • PII masking
    • Audit trail
    • Evaluation
    • Observability
↓ Governed action

Live demonstrations

See Orbyte in operation.Three agents, end to end.

Scripted walkthroughs of how Orbyte agents handle a request: what they hear, what they check, which systems they touch and where a person stays in control.

DEMO SCENARIO — illustrative data

orbyte://agents/voiceSimulated
PausedPaused
Inbound call · demo lineConnecting
Execution trace0/8
  1. Speech recognition — pendingasr · stream
  2. Intent detection — pendingchange_tariff
  3. Customer lookup — pendingcrm · read
  4. Policy retrieval — pendingapproved source
  5. Response — pendinggrounded
  6. CRM action — pendingcrm · write
  7. Human escalation — pendingoffered
  8. Transcript & analytics — pendingsaved
session demo-voice-001Demo scenario · illustrative data

Governance

AI you can govern.Every action accounted for.

Governance is part of the architecture, not an add-on. Requests are masked, checked, approved where required and recorded before an agent acts.

Controls · 10
  1. 01

    Role-based permissions

    Agents act only within the access of the role they serve.

  2. 02

    Human approval

    Sensitive actions wait for a designated approver.

  3. 03

    Audit trail

    Every request, decision and action is recorded.

  4. 04

    Knowledge grounding

    Answers come from approved sources, with citations.

  5. 05

    PII protection

    Personal data is detected and masked before AI processing.

  6. 06

    Data isolation

    Each deployment keeps its data within its own boundary.

  7. 07

    Observability

    Latency, errors and agent behaviour are monitored in operation.

  8. 08

    Evaluation

    Responses are tested against defined scenarios before and after release.

  9. 09

    Fallbacks

    When confidence is low, the case moves to a person.

  10. 10

    Cost controls

    Usage limits and budgets per agent and per team.

Policy log/ agent-runtime
Demo scenario
Request
Mask
Permit
Approve
Act
Audit

› Awaiting request…

    masked: 1 · approvals: 1 · violations: 0✓ audit

    Demo scenario. Demonstration scenario of a governed agent request:

    1. Service agent requests a contact update. tool: crm.update_contact. Received.
    2. Personal data masked before model call. phone: +994 •• ••• •• ••. Masked.
    3. Role check passed. role: service_agent → crm.write. Pass.
    4. Approval required: customer record change. approver: supervisor. Pending. Approved by supervisor. Approved.
    5. CRM record updated. crm.update_contact → ok. Done.
    6. Audit entry written. audit_id: demo-0001. Logged.

    Delivery model

    Accountable for the completetechnology outcome.

    One team owns the path from business need to a system in operation — architecture, engineering, security and run.

    1. 01Engagement stages

      Business need

      Define the process, the users and the result to be measured.

    2. 02Engagement stages

      Data & permissions

      Assess sources, integrations, role boundaries and approval rules.

    3. 03Engagement stages

      Limited pilot

      Validate the chosen use case with real data and user feedback.

    4. 04Engagement stages

      Operation

      Deploy, monitor performance and improve in measured releases.

    Beyond AI

    The systems around the intelligence.

    • Custom software
    • Enterprise systems & integration
    • Cloud infrastructure
    • Cybersecurity
    • Smart systems

    Contact

    Discuss an AI initiative.

    Describe the current workflow, the systems in use and the main obstacle. We will review your request and discuss implementation options with you.