Platform Architecture
One Platform. Multiple Agents. Governed from Day One.
Platform Stack
Six layers. One governed AI operating system.
Experience, Agent, Workflow, Governance, Data, and Deployment Layers work together to make AI operational, secure, and measurable across your enterprise.
Layer 01
Experience Layer
Web, chat, voice, Teams, and API access surfaces that employees and customers interact with directly.
Layer 02
Agent Layer
Specialized AI agents for operations - Chat, Voice, Finance, Helpdesk, Insight, Secure, Sync, and Legacy Application agents.
Layer 03
Workflow Layer
Task orchestration, routing logic, escalation rules, and human review touchpoints designed upfront.
Layer 04
Governance Layer
Policies, access controls, audit trails, observability dashboards, and performance monitoring built into every workflow.
Layer 05
Data Layer
Approved documents, enterprise systems, knowledge bases, and contextual data sources - all vetted before agent connection.
Layer 06
Deployment Layer
Cloud, private cloud, on-premise, and hybrid deployment models to match your security, compliance, and operational requirements.
Core Components
Five integrated modules. One connected platform.
IGNA Hub manages agents, users, analytics, and content. IGNA Secure handles governance and access. IGNA Sync supports integrations.
IGNA Insight turns approved information into decision support.
01
IGNA Hub
Manage agents, users, analytics, and content across your AI operations program.
02
IGNA Secure
Governance, access control, audit trails, and policy enforcement for every agent interaction.
03
IGNA Sync
Enterprise integrations and synchronization - connecting agents to the systems your operations actually run on.
04
IGNA Insight
Turns approved information into decision support - summaries, trends, and operational visibility for leadership.
05
Legacy App Agents / CUA
Controlled automation for legacy applications where APIs are unavailable or too costly to build.
AI Architecture
Modern AI architecture built for enterprise governance.
IGNA uses the right architecture for each workflow - not a one-size-fits-all model. Every component is applied where appropriate, with human-in-the-loop review built in.
Deployment Flexibility
Deploy where your security and compliance requirements demand.
Cloud, private cloud, on-premise, and hybrid deployment models support different security, compliance, and operational needs. IGNA meets you where you are.
Cloud
Managed cloud deployment with full IGNA governance controls, fast time-to-value, and elastic scale.
Private Cloud
Dedicated cloud environment for organizations that require data isolation and enhanced security posture.
On-Premise
Full on-premise deployment for regulated industries where data cannot leave the organization's infrastructure.
Hybrid
Combine cloud agility with on-premise control - route sensitive workloads locally while leveraging cloud for scale.
Why enterprise teams choose IGNA
Enterprise quality. Mid-market practicality.
IGNA delivers the governance, integration, and deployment flexibility of an enterprise AI platform - without enterprise-level complexity, cost, or timeline drag.
Governed by design
Audit trails, role-based access, human review, and policy enforcement are core to the platform - not optional extras configured after deployment.
Enterprise connected
Connect to the systems your operations actually run on - documents, ERPs, CRMs, ticketing, finance, and legacy applications where appropriate.
Faster time to value
The 30-Day Sprint and 5P Framework mean your first governed AI agent reaches production faster than a build-from-scratch approach - with the evidence to back it.
Practical for the mid-market
Built for organizations with 250–5,000 employees that need real operational AI - not a research project or a proof of concept that never reaches production.
See IGNA in action for your operations
Schedule a focused platform briefing with our team.
Process-first adoption
IGNA starts with the workflow, the process maturity, the risks, and the expected outcome - not with the model. Every deployment is grounded in operational reality.
Governed AI agents
Approved data, role-based access, human review, audit trails, and escalation rules are core to the IGNA operating model - not add-ons applied after the fact.
Enterprise integration
Connect to documents, systems, APIs, knowledge bases, workflows, and legacy applications - where appropriate and with the right governance controls in place.