The AI automation platform
behind Dapto
Dapto Prism powers intelligent business automations that can understand documents, reason over data, coordinate AI agents, take workflow actions, and produce finished outputs your team can review and trust.
Built for repeated business processes — not one-off prompts.
What is Dapto Prism?
Dapto Prism is the AI automation platform that coordinates agents, data, tools, documents, and human review to complete repeated business processes.
Dapto Prism is the platform layer that powers Dapto automations.
It connects the pieces required to automate real business work:
Instead of giving your team a blank automation canvas, Prism provides the reusable foundation for building automations that produce finished work.
Platform architecture
Five integrated layers that work together to automate business processes
Inputs
Documents, PDFs, spreadsheets, emails, dashboards, websites, databases, business apps
Context
Company knowledge, prior work, workspace memory, rules, approved examples
Agent layer
Primary agents, sub-agents, parallel task execution, reasoning, validation
Workflow layer
Actions, routing, approvals, review steps, exports, notifications
Control layer
Monitoring, history, governance, access, human oversight
AI agents that work inside the process
Dapto Prism uses AI agents to break business work into steps, decide what context is needed, call the right tools, and move the workflow toward a finished output.
Understand the request
Gather the right files or data
Decide which steps are needed
Assign work to sub-agents
Use tools and integrations
Check the output
Route the work for review
Prepare the next action
The agent is not the product.
The agent is part of the automation system.
Parallel sub-agents for complex work
Some business workflows are too complex for one linear AI step. Dapto Prism can coordinate sub-agents that work in parallel on different parts of the process.
Example: A reporting workflow may use separate sub-agents to:
Sub-agent workflow diagram
User request
"Create this month's client report."
Primary agent
Understands the goal and plans the workflow.
Sub-agent 1
Reads prior report structure
Sub-agent 2
Analyzes current KPI spreadsheet
Sub-agent 3
Reviews notes and context
Sub-agent 4
Flags risks and changes
Sub-agent 5
Drafts commentary
Review layer
Combines, checks, and prepares the final report.
Output
Client-ready report ready for review.
Instead of waiting for one long prompt to do everything, Prism can divide the work, combine the results, and produce a cleaner finished output.
Knowledge, documents, and data
Prism understands the documents, data, and context your business work requires
Document understanding
Read PDFs, spreadsheets, invoices, contracts, emails, reports, and notes.
Data sources
Connect to databases, dashboards, business apps, and APIs for real-time data.
Company knowledge
Build workspace memory from prior work, approved examples, and team rules.
Workflow actions
Prism doesn't just analyze — it takes action to complete the workflow
Create outputs
Route requests
Send notifications
Update systems
Trigger reviews
Prepare exports
Human review and approvals
Build human oversight directly into your automation workflows
Review steps
Add approval checkpoints at any stage of the workflow before final output.
Comments and feedback
Reviewers can add comments, request changes, or approve with @mentions.
Reviewer assignment
Route work to specific team members based on workflow rules or content type.
Exception handling
Flag edge cases or unusual results for human review before proceeding.
Human-in-the-loop review ensures AI automation stays accurate, compliant, and trustworthy.
Monitoring and governance
Track, control, and govern AI automation across your organization
Activity monitoring
Track what work was created, when, and by whom with full audit history.
Access control
Manage workspace permissions, user roles, and data access at granular levels.
Policy enforcement
Apply company policies, compliance rules, and approval requirements automatically.
Usage analytics
Monitor automation performance, cost, and ROI across teams and workflows.
Core Prism capabilities
The platform features that power intelligent business automation
Agent orchestration
Coordinate primary agents and sub-agents across multi-step workflows.
Parallel execution
Run multiple parts of a workflow at the same time, then combine the results.
Document understanding
Read PDFs, spreadsheets, invoices, contracts, emails, reports, and notes.
Business reasoning
Compare data, apply rules, identify missing information, and explain changes.
Workflow actions
Create outputs, route requests, send notifications, update systems, trigger reviews, and prepare exports.
Human review
Add approval steps, comments, reviewer assignment, and exception handling.
Smart routing
Choose the right AI model or workflow path based on the task.
Governance
Control access, track history, apply policies, and monitor usage.
Integrations
Connect Prism to the tools and data sources your business already uses
Spreadsheets
Databases
Web APIs
Document storage
Analytics platforms
Communication tools
Business apps
Custom integrations available for Enterprise customers
Example platform workflows
Real business processes automated with Dapto Prism
Weekly client report
- 1Agent reads last month's report structure
- 2Sub-agent analyzes current KPI spreadsheet
- 3Sub-agent reviews meeting notes and context
- 4Sub-agent flags significant changes or risks
- 5Primary agent drafts commentary and insights
- 6Review layer combines sections and checks quality
- 7Output routed to account manager for approval
- 8Approved report exported and sent to client
Quarterly board deck
- 1Agent gathers financial data from connected sources
- 2Sub-agent analyzes performance vs. targets
- 3Sub-agent identifies key achievements and risks
- 4Sub-agent drafts executive summary
- 5Primary agent creates slide structure
- 6Review layer checks narrative flow and data accuracy
- 7Output sent to executive team for review
- 8Final deck prepared for board presentation
RFP response automation
- 1Agent reads RFP document and requirements
- 2Sub-agent searches company knowledge for relevant content
- 3Sub-agent drafts responses to technical questions
- 4Sub-agent compiles case studies and references
- 5Primary agent structures complete response
- 6Review layer flags missing sections
- 7Output routed to sales team for refinement
- 8Final response exported and submitted
Invoice processing workflow
- 1Agent reads incoming invoice PDF
- 2Sub-agent extracts vendor, amount, and line items
- 3Sub-agent validates against purchase orders
- 4Sub-agent checks approval thresholds
- 5Primary agent routes to appropriate approver
- 6Review layer tracks approval status
- 7Approved invoices sent to accounting system
- 8Exceptions flagged for manual review
Website lead qualification (Frontdesk)
- 1Agent receives website visitor question via chat widget
- 2Sub-agent analyzes question intent and urgency
- 3Sub-agent searches company knowledge base for answer
- 4Sub-agent determines if visitor is qualified lead
- 5Primary agent provides helpful response to visitor
- 6Workflow layer creates lead record if qualified
- 7Review layer routes to sales team with context
- 8Meeting booking or next step sent to visitor
Website support ticket routing (Frontdesk)
- 1Agent receives support request from website
- 2Sub-agent categorizes issue type and severity
- 3Sub-agent checks knowledge base for known solutions
- 4Sub-agent determines appropriate support tier
- 5Primary agent provides immediate guidance to visitor
- 6Workflow layer creates ticket in support system
- 7Review layer assigns to correct support team
- 8Visitor receives ticket number and expected response time