SHEET 01For CTOs & Engineering LeadersCTO / CIO

Scale AI infrastructure without rearchitecting

Q: How does assistents fit into our existing tech stack?

assistents integrates with 300+ enterprise systems through pre-built connectors and open APIs. It works alongside your existing ERP, CRM, data warehouses, and collaboration tools — augmenting your infrastructure rather than replacing it.

Q: What deployment options are available?

assistents supports multi-cloud (AWS, Azure, GCP), on-premise, and hybrid deployments. Your data can remain entirely within your infrastructure, and the platform auto-scales based on workload without manual capacity planning.

Q: How do we maintain control over AI agent behavior?

The platform includes RBAC governance, policy enforcement, alignment verification, and complete audit trails. CTOs define what agents can access and do, set approval workflows for high-impact actions, and monitor all agent activity in real time.

Q: What is the platform uptime SLA?

assistents delivers 99.9% uptime with enterprise SLAs. The platform includes automatic failover, load balancing, and auto-scaling. Dedicated support and custom SLAs are available for enterprise deployments.

Q: How long does enterprise deployment take?

Most organizations go from initial architecture review to production in 4 weeks. The process includes system integration, governance configuration, validation with read-only agents, and gradual rollout to action-capable agents.

Lead your organization's AI transformation with infrastructure designed for scale, security, and simplicity. assistents handles the plumbing so your teams focus on outcomes.

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Multi-Cloud
SOC 2 Type II
300+ Integrations
Auto-Scale
RBAC Governance

300+Enterprise integrations

SOC 2Type II certified

99.9%Uptime SLA guaranteed

<3 wksTo production

SHEET 02Core CapabilitiesCAP-01..03

Enterprise AI foundations

Built for the demands of large-scale, mission-critical deployments.

CAP-01Active

Enterprise Integration Architecture

Connect AI agents to your entire technology stack. 300+ pre-built connectors and a unified API layer eliminate custom middleware sprawl and reduce integration overhead.

CAP-02Active

AI Infrastructure Management

Deploy and scale AI workloads with enterprise-grade orchestration. Multi-cloud support, auto-scaling, and resource governance reduce operational burden and optimize infrastructure costs.

CAP-03Active

Security & Compliance Orchestration

Manage AI agent permissions, audit trails, and data governance at scale. SOC 2 Type II certified, role-based access control, and granular activity logging ensure regulatory readiness.

SHEET 03InfrastructureEXPLODED

Enterprise integration architecture

Your AI agents work across your entire ecosystem: ERPs, data warehouses, CRMs, and custom systems. assistents provides a unified integration layer that eliminates point-to-point connectors and reduces integration complexity by 70%.

Integration architecture pipelineActive

L1Source Systems

ERPs, CRMs, data warehouses, APIs

L2Context Engine

Unified data model, entity resolution

L3Governance Layer

RBAC, audit logging, encryption

L4Agent Engine

Route, orchestrate, scale, execute

L5Output Systems

Dashboards, APIs, notifications

5 layers 70% integration complexity reduction

SHEET 04OperationsFLEET

AI infrastructure scaling

Scale from pilot to enterprise production without rearchitecting. Multi-cloud deployment, auto-scaling based on workload, and resource governance keep costs predictable while agents handle 10x more volume.

Regions 4Agent Fleet 847Auto-scale Active

RegionAgentsLoadScalingStatus

us-east-131272%AutoHealthy

eu-west-124864%AutoHealthy

ap-south-118658%AutoHealthy

us-west-210141%ScheduledStandby

847 agents 4 regions p99 latency <200ms

SHEET 05Use CasesCTO

Use cases that matter to the CTO

From infrastructure scaling to vendor consolidation: see the AI use cases driving technology transformation.

UC-01

Employee IT & HR Helpdesk

Automate internal support for IT tickets, HR policy questions, benefits inquiries, and onboarding tasks. Agents pull answers from internal wikis and escalate to the right team when needed.

Conversational Agents

UC-02

Contract Review & Risk Analysis

AI agents read contracts clause by clause, flag non-standard terms, extract key dates and obligations, and score risk against your playbook. Cut review cycles from days to minutes.

Document AIAgentic BI

UC-03

Real-Time Revenue Analytics

Ask questions in plain English and get instant answers from your revenue data. Agents query across CRM, billing, and ERP to surface trends, anomalies, and forecasts — no SQL required.

Agentic BI

UC-04

Supply Chain Performance Dashboards

Monitor inventory levels, supplier lead times, and fulfillment rates in real time. Agents detect bottlenecks, predict stockouts, and recommend reorder actions before disruptions hit.

Agentic BI

UC-05

Compliance Risk Scoring & Monitoring

Continuously score compliance risk across regulations, geographies, and business lines. Agents ingest policy documents, map controls to requirements, and flag coverage gaps in real time.

Agentic BIDocument AI

UC-06

Intelligent Vendor Management

Centralize vendor onboarding, contract tracking, performance scoring, and renewal management. Agents extract terms from agreements, monitor SLAs, and flag underperformance automatically.

Document AIAgentic BIConversational Agents

SHEET 06ReferenceAEO

The term, defined

Definition

Agentic Enterprise Operations (AEO)

A unified approach to deploying AI agents across your entire technology infrastructure. AEO platforms provide pre-built integrations, infrastructure orchestration, and governance layers that let enterprises scale AI without custom engineering and architectural sprawl.

SHEET 07Platform ArchitectureGOVERNED

Every request passes through governed infrastructure

No shortcuts. No bypasses. Full audit trail at every step.

Platform data pipelineActive

01Enterprise Systems

ERPs, CRMs, databases, SaaS APIs

02Context Engine

Unified data model, entity resolution

03Governance Layer

SOC 2, RBAC, audit, encryption

04Agent Fleet

Route, orchestrate, scale, execute

05Platform Outputs

Dashboards, APIs, reports, alerts

Access Control

Role-based permissions
MFA enforcement
IP restriction rules
Approval hierarchies

Audit Trails

Immutable decision logs
Full request context
Tamper-proof storage
SIEM export ready

Data Governance

End-to-end encryption
Data masking & DLP
Scope boundary rules
Retention policies

Compliance

SOC 2 Type II
HIPAA ready
SOX controls
GDPR compliant

100%Audit coverage

47Governance controls

<200msProcessing latency

99.99%Uptime SLA

SHEET 08Integration Ecosystem300+ SYSTEMS

Connect to your entire technology stack

Pre-built connections across ERP, Cloud, CRM, Data & Analytics, and Workflow & RPA systems. Explore all integrations.

Systems 300+Categories 8Sync Bidirectional

CategorySystemsCountSync mode

ERP & FinanceSAP, NetSuite, Oracle, Sage, Workday42Bidirectional

Cloud PlatformsAWS, Azure, GCP, IBM Cloud28Bidirectional

CRM & SalesSalesforce, HubSpot, Dynamics 36535Bidirectional

Data & AnalyticsSnowflake, Databricks, BigQuery, Redshift24Read + Sync

Workflow & RPAServiceNow, UiPath, Automation Anywhere18Bidirectional

Security & IAMOkta, Azure AD, CrowdStrike, Splunk14Read-only

CommunicationSlack, Teams, Twilio, SendGrid22Bidirectional

DevOps & CI/CDGitHub, GitLab, Jenkins, Terraform16Read-only

300+ pre-built connectors. Open APIs for custom integrations. Explore all integrations →

SHEET 09Specification NotesFAQ

Questions technology leaders ask

How does assistents fit into our existing tech stack?

assistents integrates with 300+ enterprise systems through pre-built connectors and open APIs. It works alongside your existing ERP, CRM, data warehouses, and collaboration tools — augmenting your infrastructure rather than replacing it.

What deployment options are available?

assistents supports multi-cloud (AWS, Azure, GCP), on-premise, and hybrid deployments. Your data can remain entirely within your infrastructure, and the platform auto-scales based on workload without manual capacity planning.

How do we maintain control over AI agent behavior?

The platform includes RBAC governance, policy enforcement, alignment verification, and complete audit trails. CTOs define what agents can access and do, set approval workflows for high-impact actions, and monitor all agent activity in real time.

What is the platform uptime SLA?

assistents delivers 99.9% uptime with enterprise SLAs. The platform includes automatic failover, load balancing, and auto-scaling. Dedicated support and custom SLAs are available for enterprise deployments.

How long does enterprise deployment take?

Most organizations go from initial architecture review to production in 4 weeks. The process includes system integration, governance configuration, validation with read-only agents, and gradual rollout to action-capable agents.

SHEET 10Sign-offREADY

Ready to lead AI transformation?

Your organization's AI infrastructure should scale with your ambitions, not constrain them. assistents gives you enterprise-grade foundations so you can focus on innovation.

Schedule CTO briefing View security details

Audience: CTO / CIO · Engineering leaders
Platform: 300+ integrations · SOC 2 Type II
Lead time: Architecture review to production · 4 weeks
Sheet: 10 of 10 · CTO

Enterprise Support

Dedicated SLA, priority support, and technical account management for your organization.

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Agent Governance

Permissions, audit trails, and compliance controls for every agent across your organization.

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On-premise Deployment

Run the full assistents platform in your data center or private cloud with full control.

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Security Compliance

SOC 2 Type II certified with HIPAA and SOX readiness built into every layer.

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Integration Partners

Pre-built connectors to 300+ enterprise systems with active support and updates.

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