ENTERPRISE KNOWLEDGE
AI Lacks Context
It does not know your policies, products, projects, customers or internal knowledge.
/
Put AI
to Work
Build an enterprise agent platform that connects knowledge, business systems and workflows—taking AI from answering questions to getting work done.
Enterprises Have AI.
They Need AI
That Delivers.
Bring intelligence into business.
Start with enterprise context.
SYSTEM CONNECTIONS
AI Cannot Connect
It cannot directly work with ERP, CRM, office automation or databases.
WORKFLOW EXECUTION
AI Cannot Execute
It can chat, but cannot take part in approvals, decisions, execution or notifications.
AI GOVERNANCE
AI Is Hard to Scale
Permissions, security, logs, costs and models are difficult to manage together.
One Platform.
Your Enterprise Agent Ecosystem.
Connect models, knowledge, agents, workflows and enterprise systems on one foundation for AI.
Agent
Create, configure and manage agents for different business functions.
Knowledge
Build enterprise knowledge bases with RAG, documents and databases.
Workflow
Orchestrate multi-agent, multi-step business workflows.
Integration
Connect APIs, MCP, RPA, ERP, CRM, office automation and databases.
Governance
Manage permissions, logs, security, audits, models and costs.
An AI Team for Every Department
Marketing Agent Matrix
Market Research
Competitor Analysis
Customer Insights
Campaign Planning
Content Creation
Ad Management
Event Operations
Marketing Analytics
Lead Discovery
Customer Profiling
Opportunity Assessment
Sales Follow-up
CRM Entry
Quotation Proposals
Sales Forecasting
Sales Reviews
Hiring Requirements
Job Descriptions
Resume Screening
Candidate Matching
Interview Notes
Employee Q&A
Performance Analysis
Training Recommendations
Invoice Recognition
Expense Review
Reconciliation
Expense Analysis
Budget Monitoring
Business Analysis
Financial Reports
Anomaly Alerts
Purchase Requirements
Supplier Sourcing
Supplier Evaluation
Quote Comparison
Contract Review
Order Tracking
Price Analysis
Procurement Risk
Data Aggregation
Daily & Weekly Reports
Operations Analysis
Anomaly Monitoring
Task Follow-up
Process Approvals
Knowledge Search
Business Dashboards
Customer Inquiries
Knowledge Q&A
Ticket Classification
Ticket Handling
Complaint Analysis
Sentiment Detection
Service QA
Customer Follow-up
Agents handle individual tasks and collaborate through workflows.
Our Clients
From Agents to Enterprise AI Automation
Case 01 / 05 · Sample Data
A Manufacturer | Procurement Automation
Before
Requests were scattered across emails and spreadsheets; quoting, comparison and approval relied on manual handoffs.
AI Workflow
Agents consolidate requests, match suppliers and generate price comparisons, then connect to approvals.
Processing Efficiency↑80%
Manual Effort↓60%
Error Rate↓90%
Cases 02 / 05 · Illustrative data
A Service Company | Customer Service Automation
Before
Support staff repeatedly searched knowledge and answered FAQs; ticket triage and routing were manual.
AI Workflow
Knowledge and ticketing agents collaborate to classify and route automatically, escalating complex cases.
First-Response Time↑70%
Ticket Handling Efficiency↓55%
Repetitive Work↓65%
Cases 03 / 05 · Illustrative data
An Enterprise | Expense Reimbursement Automation
Before
Invoices were checked and expenses entered by hand; the review was repetitive and error-prone.
AI Workflow
Invoices are recognized and rules verified with reconciliation support; exceptions go to finance for review.
Review Efficiency↑75%
Data Entry Effort↓60%
Processing Time↓50%
Cases 04 / 05 · Illustrative data
An Enterprise | Sales Collaboration Automation
Before
Customer data was scattered; sales entered CRM records and prepared follow-ups and quotes manually.
AI Workflow
Agents organize customer profiles and meeting notes, coordinating CRM updates and quote generation.
Documentation Efficiency↑65%
Entry Time↓70%
Proposal Prep Time↓45%
Cases 05 / 05 · Illustrative data
A Group | Operations Process Automation
Before
Teams compiled reports and tracked tasks manually; business data was slow and inconsistent.
AI Workflow
Agents connect to business systems to aggregate data, generate reports and track exceptions and to-dos.
Report Generation Efficiency↑85%
Aggregation Effort↓70%
Task Handoff Time↓50%
AI Insights
Enterprise Agents: From Capability to Execution
The value of enterprise agents goes beyond better answers: they move work forward within clearly defined business boundaries.
Connecting Knowledge and Systems to Expand What AI Can Do
The value of enterprise agents goes beyond better answers: they move work forward within clearly defined business boundaries.
What AI Governance Does Scaling Require?
The value of enterprise agents goes beyond better answers: they move work forward within clearly defined business boundaries.
Frequently Asked Questions
What is an enterprise AI agent?
An enterprise AI agent is a software entity that autonomously executes job-level tasks within clear business boundaries. It connects enterprise knowledge, business systems and workflows, moving AI from answering questions to completing work.
What does Fractal AI's agent platform solve?
The platform serves marketing, sales, HR, finance, procurement, operations and customer service teams with a matrix of agents that independently execute job tasks, coordinating end-to-end business processes through Workflow.
What is the first step to adopting AI automation?
Start with one concrete task that has clear inputs and checkable results. Define what counts as done, then choose models and tools, keeping human review for critical actions such as quotations, payments and contracts.
How do AI agents integrate with existing systems?
Through system connectivity that plugs into ERP, CRM, OA and databases, letting agents read data, call services and write results back inside your existing business environment.
How do you measure the impact of AI automation?
Judge by business outcomes: compare processing time, manual review effort and task quality, and record the difference between the original process and the agent workflow before expanding to more scenarios.
