Autonomous operations for complex organizations
From fragmented data to intelligent action.
UnityIQ connects the systems, documents, workflows, and institutional knowledge your organization already has—then turns them into decision-ready intelligence and governed AI agents that can act.
Understand. Decide. Act. Continuously.
How UnityIQ works
From data to action, in one system.
- 01
Data
Fragmented streams from every enterprise system.
- ERP
- CRM
- Documents
- Transactions
- Operations
- Analytics
- 02
Intelligence
Converged into one UnityIQ intelligence model.
- UnityIQ intelligence
- 03
Decision
Decisions branch from shared business context.
- Predict
- Prioritize
- Recommend
- 04
Agent
Purpose-built agents activate on each decision.
- Workflow agent
- Decision agent
- Operational agent
- 05
Action
Work executes across business workflows.
- Execute
- Escalate
- Automate
UnityIQ Agent Factory
Intelligence for Every Business Function.
From commerce and automotive to finance, legal, and customer experience, UnityIQ Agent Factory brings purpose-built AI agents together to support enterprise workflows, business decisions, and intelligent automation.
- 10 categories of purpose-built AI agents
- Intelligence connected to enterprise context and workflows
- Designed for business operations, analysis, and decision support
UnityIQ
Agent Factory
UnityIQ Autonomous Operations
“Your organization tells us the outcome. Unity executes the work.”
UnityIQ sells completed business outcomes, powered by governed autonomous agents.
Compliance Agent
For example:
“Here is a compliance dashboard.”
Offer:“Unity continuously monitors your obligations, identifies exceptions, gathers evidence, coordinates remediation, prepares the report, and routes only decisions requiring human approval.”
This is particularly compelling because Unity's existing Risk & Compliance IQ already describes essentially this pipeline.UnityIQ
Executive Operations Agent
- Monitor organizational performance
- identify anomalies
- investigate
- assemble relevant information
- recommend action
- initiate approved workflows
- report outcome.
Contract/Obligation Agent
- Monitor contracts
- identify upcoming obligations
- determine responsible party
- request documentation
- flag non-compliance
- escalate
- produce management report.
Automotive Operations Agent
Given Unity's existing automotive positioning:
- Monitor dealer/OEM/service/warranty data
- detect anomalies
- investigate
- identify likely cause
- recommend action
- initiate approved workflow
- track resolution.
That is far more defensible than “here's a chatbot with tools.”
The business model could be particularly interesting
I would not charge primarily per seat.
Instead:
1.Platform fee
For the Unity intelligence layer.
$X/month or year
2.Agent fee
Per active autonomous workflow/agent.
For example:
- Compliance Agent
- Warranty Agent
- Contract Agent
- Executive Operations Agent
3.Usage fee
For actual work performed.
Potentially:
- per workflow
- per case
- per document processed
- per investigation
- per completed action
4.Outcome fee
Eventually, where measurable:
“$X per successfully resolved exception.”
or
“$X per completed compliance cycle.”
That's where this gets really interesting.
The economic proposition changes from:
“Buy our software.”
to:
“Give us $1 of budget and we'll return $3 of operational value.”
The killer positioning
I would seriously consider this distinction:
- Traditional AIAnswers questions.
- CopilotHelps employees do work.
- AgentDoes tasks.
- UnityIQOwns an operational outcome.
That's the category I'd try to establish.
Because the real buyer doesn't want an agent.
The COO doesn't wake up thinking: “I need 17 AI agents.”
They think:
- “Why does this process take three weeks?”
- “Why are we still manually collecting this information?”
- “Why don't I know which contracts are at risk?”
- “Why does compliance require 14 people?”
- “Why are exceptions discovered after the fact?”
Sell the resolution of those problems.
And Unity's existing architecture gives you an advantage
The current Unity framework already progresses:
- Ingest
- Organize
- Search
- Visualize
- Advise
- Decide
- Automate.
I wouldn't change that.
I'd make the agent the natural consequence of the architecture:
- Data
- Context
- Reasoning
- Decision
- Agent
- Action
- Verification
And importantly:
- Action
- Evidence
- Audit trail
- Human override
That last part is crucial.
Enterprise buyers are still struggling with governance. Deloitte reports that only about one in five companies has a mature governance model for autonomous AI agents, while Gartner says fully autonomous agents aren't yet ready for most enterprise use cases.Deloitte+1
So Unity's emphasis on bounded autonomy could actually become a competitive advantage rather than a limitation.
- Traditional AI
- Answers questions.
- Copilot
- Helps employees do work.
- Agent
- Does tasks.
- UnityIQ
- Owns an operational outcome.
- Data
- Context
- Reasoning
- Decision
- Agent
- Action
- Verification
- Action
- Evidence
- Audit trail
- Human override
L1 — Recommend
Agent investigates and recommends.
Human decides.
L2 — Execute with approval
Agent prepares and executes workflows.
Human approves critical actions.
L3 — Autonomous
Agent executes within predefined boundaries.
Human monitors/exceptions.
The problem isn't lack of data.
Your organization already has the answers.
They're just scattered everywhere.
- Documents.
- Applications.
- Emails.
- Contracts.
- Reports.
- Operational systems.
- Spreadsheets.
- Institutional knowledge.
AI can search some of it.
Dashboards can visualize some of it.
People still have to connect the dots.
UnityIQ creates the layer that connects them.
From intelligence to execution
AI that doesn't stop at the answer.
Most enterprise AI helps people find, summarize, or generate information.
UnityIQ goes further.
It creates a continuously maintained intelligence layer that can:
- Understand
- Reason
- Recommend
- Decide
- Act
- Verify
And it does so within the boundaries your organization defines.
Intelligence
Understand the organization as a connected system—not isolated files and applications.
Decision
Surface what matters, explain why, recommend what should happen next, and preserve the evidence behind the recommendation.
Autonomous Action
Deploy governed agents to execute repeatable workflows—with permissions, approvals, escalation rules, and human override.
Connector Factory
Connect the intelligence your organization already depends on.
UnityIQ connects your enterprise systems, documents, data sources, and approved external intelligence into one governed context — so your agents and workflows can reason with the information that matters.
Explore Connector FactoryOne continuous intelligence loop
Seven stages. One operating layer.
- 01
Ingest
Connect the organization's information.
- 02
Organize
Build context across entities, relationships, timelines, and systems.
- 03
Search
Ask questions in the language of the business.
- 04
Visualize
See the operational picture in real time.
- 05
Advise
Identify patterns, risks, opportunities, and next-best actions.
- 06
Decide
Apply policies, approvals, and human judgment.
- 07
Automate
Let governed agents execute proven workflows.
The goal isn't automation for its own sake.
The goal is an organization that can understand and respond faster.
Autonomy with accountability
Give AI authority.
Not unlimited authority.
UnityIQ agents operate within explicit boundaries defined by your organization.
- 01
Permissions
What can the agent access?
- 02
Policies
What rules must it follow?
- 03
Approval thresholds
Which actions require human authorization?
- 04
Escalation
When should the agent stop and involve a person?
- 05
Auditability
What did it see, decide, and do?
Autonomous doesn't mean unsupervised.
Every consequential action can remain governed, traceable, and reversible.
What changes
Your organization starts operating differently.
- 01
Less manual coordination
Agents handle repeatable operational work.
- 02
Faster decisions
Leadership sees the relevant context without assembling it manually.
- 03
Fewer blind spots
Exceptions and emerging risks surface continuously.
- 04
Persistent institutional memory
Critical knowledge doesn't disappear when people, teams, or administrations change.
- 05
More leverage
The same intelligence layer can support multiple teams, workflows, and decision surfaces.
- 06
Continuous operations
Intelligence doesn't wait for someone to open a dashboard.
Built around how your organization actually operates
One intelligence architecture.
Domain-specific intelligence.
Turn dealer, service, warranty, inventory, and financial data into coordinated operational intelligence.
- →Dealer Operations
- →Warranty Intelligence
- →Service Intelligence
- →Parts & Inventory
- →Autonomous Exception Management
Watch intelligence become action.
This isn't a chatbot.
This is an operating system for organizational work.
- 08:41:12
Unity detects anomaly
- 08:41:15
Agent investigates 14 related records
- 08:41:23
Agent identifies likely cause
- 08:41:29
Agent evaluates policy
- 08:41:34
Recommended action generated
- 08:41:41
Approval requested
- 08:42:03
Action executed
- 08:42:06
Outcome verified
Why UnityIQ
Intelligence built for the real world.
Not another chatbot.
UnityIQ operates across the organization's actual systems, information, workflows, and institutional knowledge.
Not another dashboard.
UnityIQ doesn't simply show what happened. It helps determine what should happen next.
Not another AI wrapper.
UnityIQ creates a persistent intelligence architecture around the organization.
Not uncontrolled automation.
Every autonomous action can be governed by explicit permissions, policies, approvals, and human override.
Most AI tools help you find information.
UnityIQ helps you use it.
Proof / Case studies
Proof / Case studies
City Operations
From fragmented departments to one operating picture.
- 12+ departments unified
- 54% reduction in decision cycle
- Real-time executive visibility
Automotive Operations
From disconnected locations to coordinated operations.
- 72% reduction in manual reconciliation
- Continuous operational visibility
- Sustained margin improvement
Private Equity
From portfolio reporting to portfolio intelligence.
- Fund-wide visibility
- 3.4× faster intervention
- Continuous playbook intelligence
From first workflow to autonomous operations
Start with one problem.
Build toward an intelligent organization.
- Stage 01
Discover
Identify the decisions, workflows, and bottlenecks creating the greatest operational drag.
- Stage 02
Connect
Bring the relevant systems, documents, records, and knowledge together.
- Stage 03
Activate
Launch the intelligence layer and immediately usable decision surfaces.
- Stage 04
Prove
Measure value through a specific workflow or operational outcome.
- Stage 05
Automate
Introduce agents where the economics and confidence justify autonomy.
- Stage 06
Expand
Extend intelligence across the organization.
The next operating model
What could your organization do if its intelligence could act?
UnityIQ connects your data, decisions, workflows, and AI agents into one governed operating layer.
Executive briefing · Intelligence map · Strategic roadmap