Deep enterprise context, not document retrieval
Agents connect to every major enterprise app and map relationships across your ERP, CRM, HRIS, and collaboration tools — not just individual documents.
.// Product Overview
The enterprise AI agent platform built for real work.
assistents combines deep enterprise context, intelligent reasoning, and governed execution to deliver AI agents that don't just answer questions — they run processes, take actions, and produce auditable outcomes across every department.
- Conversational Agents
- Agentic BI
- Canvas
- Workflow Builder
- AI Gateway
- 300+ Integrations
12+
Industries in production
97%
Agent task accuracy with audit trails
4 wks
Average time to production deployment
.// How It's Different
What separates enterprise agents from chatbots
Most enterprise AI tools retrieve information and generate text. assistents agents reason through multi-step business processes, take governed actions, and produce auditable outcomes.
definition
Enterprise AI Agent
An enterprise AI agent is software that combines deep business context, governed decision-making, and multi-step execution to perform complex business processes autonomously within defined policy boundaries — unlike chatbots that only generate text responses.
Governed execution on every action
Every agent action is permission-checked and policy-enforced. Alignment models verify intent-to-action consistency at every step.
Complete traceability and decision logs
Every response includes source citations. Every action is logged with full decision history. Your team always knows what happened and why.
.// Conversational Agents
One AI interface. Three ways to operate.
Ask questions, execute workflows, or deploy autonomous agents — all from one conversational interface grounded in your enterprise context. Start with Agentic Business Intelligence to validate your data, then scale to action-capable and autonomous agents.
.// Agent Workflows by Department
See agents in action across your organization
Each example shows how agents combine context retrieval, domain reasoning, and governed execution for a specific department workflow.
.// Proven in Production
Every capability earned in real enterprise environments
12+
Industries in production
97%
Agent task accuracy with audit trails
4 wks
Average time to production deployment
Years of enterprise engagements across 12 industries and 6 continents. From a national retail chain with 700+ stores running voice agents to financial services firms deploying agents with full auditability. These production experiences directly shaped every capability in assistents.
.// Embedded Everywhere
Meet your teams in the tools they already use
The Conversational Agent integrates natively with your existing workspace — no context switching required.
Workspace UI
Full-featured web and desktop interface for analysts and managers running daily operational workflows.
Collaboration Channels
Native integration with Slack, Microsoft Teams, and other collaboration tools where your teams already work.
Embedded via APIs
APIs and SDKs for embedding agent intelligence into custom products, internal tools, and existing applications.
Finance & Procurement leadersSales & Revenue operationsCustomer Support teamsHR & People operationsMarketing & Growth teamsCompliance & Risk stakeholders
.// Getting Started
Deploy production agents in three steps
Start with one workflow, prove reliability, then scale across departments.
01Connect & Configure
02Validate with Agentic BI
03Scale to Production
Connect & Configure
Connect initial enterprise systems and configure the Context Engine to build your live data graph.
Validate with Agentic BI
Start with Agentic Business Intelligence in read-only mode to validate context quality and business definitions.
Scale to Production
Deploy action-capable and autonomous agents as confidence and governance maturity increase.
.// Agent Library
Pre-built agents for the departments that run your business
Each agent comes pre-configured with domain knowledge, system connectors, and governance rules. Deploy as-is or customize for your processes.
Agentic Business Intelligence Agent
Connects to structured data sources. Answers analytical questions in natural language with charts, tables, and source citations.
For: Finance, Strategy, Operations, Marketing
Reads structured and unstructured data simultaneously across systems.
Revenue Intelligence Agent
Monitors CRM pipeline, scores deal health, identifies risks, surfaces next-best-actions, and keeps account data current.
For: Sales, RevOps
Combines CRM, engagement signals, and communication data for risk scoring.
Procurement Guardian Agent
Automates vendor compliance, three-way matching, contract term enforcement, and spend anomaly detection.
For: Finance, Procurement
Applies policy logic and exception workflows with full audit trails.
Compliance Monitor Agent
Continuously scans for policy violations, regulatory gaps, and data exposure risks across connected systems.
For: Legal, Compliance, Risk
Cross-references live operations against policy documents in real time.
Customer Health Agent
Aggregates engagement signals across support, usage, NPS, and communications to predict churn and recommend retention actions.
For: Customer Success, Account Management
Explains why an account is at risk, not only that it is.
Operations Coordinator Agent
Routes requests, manages escalation chains, tracks SLAs, and keeps cross-functional workflows moving across systems.
For: Operations, IT, HR
Executes, tracks, and escalates multi-step operations end-to-end.
.// Agentic Business Intelligence
Ask your data anything. Get answers you can act on.
Agentic Business Intelligence connects to your structured and unstructured data sources, understands your business context, and answers complex analytical questions in natural language — with visualizations, citations, and governed access controls.
queryWhich customer segments had declining revenue last quarter?
01Question
02Model
03Data
04Action
Parse intent: segment-level revenue trend analysis
Metrics: quarterly revenue by customer segment
Time range: previous quarter vs. prior quarter
Select revenue attribution model
Map segment taxonomy across CRM + billing
Plan cross-system join strategy
StripeRevenue transactions table
HubSpotPipeline & segment data
ZendeskSupport churn signals
Create churn investigation task → assigned to RevOps team
Insight
Enterprise segment revenue declined 18% QoQ. Mid-market grew 6%. SMB flat.
Sources
- stripe.revenue_transactions (Q3–Q4 2025)
- hubspot.deals.segments (pipeline mapping)
- zendesk.tickets.churn_tags (escalation signals)
Read-only by design — teams validate safely before enabling actions
Cross-system from day one across databases, documents, and communication sources
Builds trust through source citations and consistent business definitions
Typically delivers immediate time savings on recurring analysis requests
Recommended starting point: connect data, define semantic terms, validate known answers, then graduate to action-capable agents.
How does it handle sensitive data?
Every query respects the permissions of the underlying data source. Finance data stays with finance. Audit logs capture every query.
How is accuracy handled?
The agent provides source citations and indicates when data is ambiguous or insufficient — it never guesses.
Can recurring reports be automated?
Yes. Queries can be saved and scheduled to email, Slack, or shared reporting channels.
.// Use Cases
See Conversational Agents in action.
Explore detailed deployment stories powered by Conversational Agents across industries and departments.
View all Conversational Agent use casesCustomer Service Automation
Deploy AI agents that resolve tier-1 support requests end-to-end — across chat, email, and messaging channels — with full context from your CRM, knowledge base, and order history.
Voice AI
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.
Intelligent Lead Qualification
AI agents engage inbound leads in real time, qualify them against your ICP criteria, enrich contact data, and route high-intent prospects to the right rep — before they bounce.
Agentic BI
.// FAQ
Frequently Asked Questions
How is assistents different from chatbots?
Chatbots generate text responses from a single knowledge source. assistents AI agents reason across multiple enterprise systems, take governed actions, produce auditable outcomes, and operate autonomously within policy boundaries — combining deep business context with multi-step execution.
How long does it take to deploy AI agents?
Most teams go from initial setup to production deployment in about 4 weeks. The first week focuses on connecting systems and configuring the Context Engine, followed by validation with Agentic BI, and then scaling to action-capable and autonomous agents.
Can AI agents work with on-premise systems?
Yes. assistents supports cloud, on-premise, and hybrid deployments. The Context Engine connects to 300+ enterprise systems including on-premise ERPs, databases, and legacy applications through pre-built connectors and open APIs.
What governance controls are built in?
Every agent action is permission-checked and policy-enforced. The platform includes alignment verification, approval gates, escalation triggers, complete audit trails, and role-based access controls. Agents never bypass defined policy boundaries.
What departments can use AI agents?
assistents serves Finance, Sales, Customer Support, HR, Marketing, Compliance, Procurement, and Operations teams. Pre-built agents come configured with domain knowledge for each department, and custom agents can be created for any business process.
.// Next Steps
Stop demoing AI. Start deploying it.
See how assistents puts AI agents into production across Finance, Procurement, Sales, Support, HR, and Marketing — with the governance your enterprise requires. 48-hour turnaround on workflow mapping.
See what you'll pay
Transparent pricing aligned to delivered operational value.
Pricing detailsFrom pilot to production in 4 weeks
Get a workflow map, pilot scope, and ROI hypothesis within 48 hours.
Book a Discovery Call