ITYES Enterprise AI Platform

Enterprise AI. Built around your business.

Design, build and orchestrate AI agents across customer-facing and internal workflows.

Discuss a workflow
Platform capabilities

Your business. Your data. Your AI.

ITYES is the orchestration layer for business-specific AI: agents, customer channels, company knowledge, enterprise systems and human teams.

AI agents

Agents for customer conversations, internal helpdesk, sales support, document workflows and operational intake.

AI orchestration

Route tasks between models, tools, business rules, approvals and operators without locking into one provider.

Knowledge bases

Ground answers in approved documents, policies, procedures, product data and internal knowledge.

Enterprise integrations

Connect CRM, ERP, databases, analytics, workflow tools and human teams into one controlled process.

Customers WhatsApp / Messenger / Instagram / Web / Email / Voice ITYES Orchestration Platform AI models / tools / business rules / approvals CRM / ERP / knowledge bases / people

Channels are inputs. The ITYES platform connects them with your business logic, your data, your systems and your teams.

Enterprise AI layer

What sits above a general AI agent

The value for enterprise clients is not only answering messages. It is connecting approved knowledge, tools, systems, operators and governance into one controlled workflow.

Private knowledge

Ground answers in approved client documents, policies, procedures, product catalogues and internal knowledge bases.

Business systems

Connect the AI workflow to CRM, ERP, internal databases, legacy applications and custom APIs where integration is feasible.

Agent tooling

Use structured actions, controlled tool access and clear responsibilities for each agent or workflow step.

Governance

Logs, audit trails, analytics, approval steps, role-based access and human review for important actions.

AI Orchestration Platform

We orchestrate AI, business systems and human teams

Not only an AI agent. The core message is one controlled platform that routes channels, models, enterprise data and operators.

Customers WhatsApp · Messenger · Instagram · Web · Email · Voice
↓
ITYES Orchestration Platform routing · memory · approvals · analytics · audit
↓
AI models Business rules Tools Approvals
↓
CRM ERP Knowledge base Analytics Operator workspace
↓
Human Operator review · approve · resolve · improve
Meta

General AI for messaging

  • Standard flows
  • Catalog and FAQ
  • Messaging automation
  • Meta ecosystem focus
ITYES

Business AI orchestration

  • Custom workflows
  • ERP, SAP, CRM and company knowledge
  • Business automation with approvals
  • Any system where integration is feasible
Managed AI only

Useful, but generic

  • Standard answers and workflows
  • Limited ownership of business logic
  • Harder to adapt to internal processes
  • Usually separated from deeper systems
ITYES custom AI

Built around your business

  • Private knowledge and custom workflows
  • CRM, ERP and internal tool integration
  • Approvals, audit and human review
  • Business logic owned by the client
ITYES Platform

One umbrella for agents, channels and business systems

Meta is a capability of the ITYES platform, not the identity of the platform.

Customer Channels

WhatsApp · Messenger · Instagram · Web · Email · Voice

Aegis

Incident intelligence and evidence-grounded analysis for critical operations.

TrustChain

Verifiable evidence, custody and audit readiness for critical supply chains.

Enterprise Integrations

SAP · Salesforce · Oracle · Dynamics

Human Collaboration

Review · Approval · Escalation

Trusted Enterprise Stack

Technology options clients recognise

The stack is selected per project, but these names show the level of enterprise integration we can design around.

OpenAIAzure AIMeta Business PlatformMicrosoft Google CloudAWSOraclePostgreSQL DockerKubernetesMCPVector Database
What your AI can do

Clear business capabilities before technical architecture

Answer questions

Use approved business knowledge to respond consistently across channels.

Recommend products

Guide customers using catalogue data, rules and availability where connected.

Book appointments

Collect the required details and prepare the scheduling step.

Qualify leads

Ask the right questions and separate high-intent conversations from noise.

Collect structured information

Turn free-form messages into fields your team can review and use.

Create CRM records

Prepare CRM-ready updates instead of leaving context inside chat threads.

Route to operators

Escalate with summaries, status and next-step context for human review.

Connect enterprise systems

Bring CRM, ERP, catalogues, analytics and internal databases into the workflow.

Enterprise Multi-Agent Systems

More than one agent

Complex workflows can use specialised agents: intake, retrieval, validation, integration, compliance review and operator support. The orchestration layer decides who acts next.

  • specialised agents with clear responsibilities
  • tool access controlled per role
  • handoff to people for important actions
Integrations

Designed around existing systems

SalesforceDynamicsSAPHubSpotStripeShopifySlackTeamsGoogleMicrosoftOracleServiceNowJiraConfluence
How we deliver projects

From first workflow to controlled production

Enterprise AI should be delivered in stages, with business validation before automation expands.

Discovery

Map the business problem, users, channels, data and operational constraints.

Design

Define the conversation, business rules, human handoff and system boundaries.

Prototype

Build a focused version that demonstrates the workflow with realistic scenarios.

Pilot

Run with selected users, review errors, collect feedback and tune the workflow.

Production

Deploy with logging, access control, documentation and operator responsibilities.

Continuous improvement

Use analytics and review loops to improve answers, routing and business outcomes.

Industries

Where enterprise AI workflows are relevant

Each industry needs its own data boundaries, approvals and integration model.

Banking

Customer onboarding, document intake, policy answers and operator review.

Government

Citizen services, case routing, form guidance and multilingual intake.

Manufacturing

Production support, procedure lookup, incident context and supplier workflows.

Healthcare

Appointment intake, patient guidance boundaries and human handoff.

Insurance

Claims intake, evidence collection, status updates and review preparation.

Retail and logistics

Product recommendations, order support, returns, delivery updates and escalation.

Security, privacy and compliance

Privacy, audit, identity, RBAC, GDPR, encryption, data residency and ISO 27001 / SOC 2 readiness can be scoped per project.

Security & Data Handling →

Engagement models

StarterGrowthEnterpriseCustom

No public fixed price: scope depends on channels, integrations, data and support requirements.

Demo options

Book a demo, request a live sandbox, review a WhatsApp flow, or schedule a controlled walkthrough.

Book a demo →
Dedicated service

Meta Customer Channels

Dedicated integration for Meta Business Agent, WhatsApp Business Platform, Messenger, Instagram, Cloud API, migration and hybrid AI.

Open service page

What we build

Conversational and knowledge AI scoped to real operational needs — not a catalogue of generic bot types or a lock-in to one vendor.

📄

Document Q&A

Answers from manuals, procedures and knowledge bases — with citations where the system supports source linking.

  • PDF and document parsing
  • Source tracking
  • Human review for sensitive answers
🎧

Support & intake assistants

Handle recurring questions, collect details, book appointments and escalate cases that need a person — not a blind replacement for your team.

  • Structured conversations
  • Escalation to operators
  • Appointment booking where connected
  • Integration with existing tools
🎯

Lead qualification and sales support

Qualify incoming conversations across customer channels, recommend products from a catalogue and prepare structured handoffs for sales or operations.

  • WhatsApp, Messenger, Instagram, web, email and voice channels
  • Structured lead data
  • Human follow-up
🤝

Human-in-the-loop

Workflows where AI prepares drafts or recommendations and operators approve before action is taken.

  • Approval steps
  • Audit-friendly flows
  • Clear boundaries
🤖

Agent workflows

Multi-step agents that connect to APIs and tools — scoped to defined tasks with logging and escalation paths.

  • API integration
  • Task boundaries
  • Operator oversight
📋

Summarisation & extraction

Summarise reports or extract structured fields from documents — with review where accuracy is critical.

  • Report summaries
  • Entity extraction
  • Review before use

How we build for trust

Technical choices follow operational requirements — not marketing labels.

🧠

RAG & orchestration

Retrieval, MCP/tool calling and multi-agent orchestration with LangGraph-style workflows when grounded answers and business-specific logic are required.

🔗

API connectivity

Integration with customer channels, CRM, ERP, SAP, Salesforce, Dynamics, internal databases, legacy systems and custom APIs — checked for feasibility before commitment.

📝

Traceability

Logging, source references, analytics, LangSmith-style observability and approval steps where the architecture and scope allow audit review.

🛡️

Data handling

GDPR-aware data handling, access controls and deployment options discussed per project — we do not claim certifications we have not validated.

See examples in the portfolio

Live demonstrations and project pages show what ITYES has actually built — contact us to discuss your workflow.

Demos & examples

Explore the WhatsApp sales agent on this page, the ITYES website assistant, or ask for a walkthrough of document Q&A and agent workflows relevant to your process.

Test the web assistant → View projects → Discuss a workflow →

Need a trusted AI system for an operational workflow?

Tell us which process, documents or channels are involved. We will scope what is realistic and propose a first version.

Discuss a critical workflow →