SHEET 01Platform OverviewSYSTEM

The complete enterprise AI agent platform

Context, governance, and orchestration in one platform. Deploy in the cloud or in your data center: your data never has to leave.

Talk to an Architect See technical deep dive

Context Engine
Governance Layer
Action Engine
Self-Hosted LLMs
300+ Integrations

3Integrated platform layers

300+Pre-built connectors

<4 wksTime to production

SHEET 02Platform ArchitectureUNIFIED

Three layers. One unified platform.

Built on a three-layer architecture designed specifically for governed enterprise AI agent deployment at scale.

Definition

Three-layer architecture

A design pattern where Context, Governance, and Execution operate as coordinated layers within a single platform: not separate products bolted together.

Layers 3Architecture UnifiedDeployment Any

LayerPurposeCapabilitiesStatus

Context EngineIngest, map, and maintain live enterprise contextSemantic graph, entity resolution, cross-system fusionActive

Governance LayerEnforce permissions, policies, and compliance on every actionRBAC, policy checks, audit trails, alignment verificationActive

Action EngineExecute governed multi-step workflows across systemsOrchestration, human-in-the-loop, rollback, exception handlingActive

SHEET 03Architecture Deep DiveLYR-01..03

Three layers. Each purpose-built.

Explore how each layer of the platform contributes to governed, context-aware agent execution at enterprise scale.

LYR-01

Context Engine

Ingests data from every major enterprise system. Maps relationships between people, processes, documents, and transactions. Maintains a live semantic graph so every agent operates with current, accurate, cross-system context.

Ingests data from every major enterprise platform continuously
Maintains a live semantic graph of people, processes, documents, and transactions
Maps relationships across systems — connecting entities to create complete context
Every agent operates with current, accurate, cross-system understanding

LYR-02

Governance Layer

Before any agent executes a workflow, the Governance Layer verifies permissions, enforces policies, and logs the decision. No user — and no agent — ever acts without authorization.

Permission enforcement on every action — no user and no agent ever acts without authorization
Policy compliance checks before execution — every workflow is evaluated against business rules
Complete execution history for every decision — full provenance and traceability for compliance
Alignment verification — continuous checks that agent actions match their intended purpose

LYR-03

Action Engine

Executes multi-step workflows across systems with full permission enforcement. Every action is logged, every decision is traceable, and every agent operates within defined policy boundaries.

Executes multi-step workflows across systems with full permission enforcement
Human-in-the-loop for high-impact decisions — escalation rules and approval checkpoints
Traceable decision chain — every action, every decision, every system call is recorded
Rollback and exception handling — if execution fails, the agent knows how to recover or escalate

SHEET 04Deploy Your WayDEP-01..03

Self-hosted LLMs. Your data, your infrastructure.

Deploy on-premise or in your private cloud. Self-host the LLMs. Your data never leaves your infrastructure. You maintain complete control.

DEP-01

Cloud

Multi-tenant SaaS on AWS managed infrastructure. Auto-scaling, zero maintenance, automatic updates.

AWS managed infrastructure
Auto-scaling
Zero maintenance
Automatic updates

DEP-02

On-Premise

Deploy the entire platform in your data center with self-hosted LLMs. Air-gapped capable.

Self-hosted LLMs
Air-gapped capable
Full data residency
Custom networking

DEP-03

Hybrid

Orchestrate agents across cloud and on-premise systems with unified governance.

Split workloads
Policy-based routing
Unified governance
Flexible scaling

5Deployment options

SOC 2Type II certified

ZeroData leakage risk

<4 wksTime to production

SHEET 05Platform TopologyVPC

End-to-end governed execution.

From data ingestion to action: every step is verified, enforced, and logged.

Platform topology · VPCActive

01Data Sources

ERP, CRM, HRIS, Finance

02Context Engine

Semantic graph + entity resolution

03Governance Layer

Permissions + policy enforcement

04Action Engine

Workflow execution + audit

05Target Systems

Actions, notifications, updates

CAP-01

Context

Semantic graph
Entity resolution
Cross-system fusion
Real-time sync

CAP-02

Governance

Permission enforcement
Policy compliance
Audit trails
Alignment checks

CAP-03

Execution

Multi-step workflows
Human-in-the-loop
Rollback handling
Exception recovery

CAP-04

Integration

300+ connectors
Bidirectional sync
OAuth 2.0
Custom APIs

3Platform layers

300+Integrations

100%Audit coverage

99.99%Uptime SLA

SHEET 06Integration Ecosystem300+ SYSTEMS

Connect to every major enterprise platform.

Pre-built connectors for ERP, CRM, HRIS, finance, support, collaboration, and more. Plus open APIs for custom and legacy systems.

Connectors 300+Categories 6Sync Mode Bidirectional

CategorySystemsCountSync

ERP & EnterpriseSAP, Oracle, NetSuite, MS Dynamics45+Bidirectional

CRM & RevenueSalesforce, HubSpot, Dynamics 365, Pipedrive38+Bidirectional

HRIS & PeopleWorkday, BambooHR, SuccessFactors, ADP32+Bidirectional

Finance & ProcurementCoupa, Ariba, Bill.com, QuickBooks28+Bidirectional

Support & ServiceJira, ServiceNow, Zendesk, Freshdesk42+Bidirectional

CollaborationSlack, Microsoft Teams, Asana, Notion35+Bidirectional

300+ pre-built connectors. Open APIs for custom and legacy systems. Every integration supports bidirectional data sync, real-time event triggers, and governed action execution.

SHEET 07Get StartedREADY

See the platform in action.

Bring your highest-stakes process and see how the Context Engine, Governance Layer, and Action Engine work together to deliver governed outcomes in your environment.

Talk to an Architect See technical deep dive

Project: assistents.ai · Agentic platform
Layers: Context · Governance · Action
Deployment: Cloud · On-premise · Hybrid
Sheet: 07 of 07 · Platform

See what you’ll pay

Transparent platform and usage pricing aligned to delivered operational value, not shelfware seats.

Pricing details

From pilot to production in 30 days

Get a workflow map, pilot scope, and ROI hypothesis within 48 hours of your first conversation.

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