One operating context
Workspace records connect inbox, company accounts, contacts, opportunities, proposals, meetings, support, finance and marketing activity.
ActovianAI FOR BUSINESS OPERATIONS
AI for business operations, with one accountable control layer
Actovian brings AI into business operations through coordinated agents, shared company context, governed workflows, approvals and evidence.
No card required. Start in simulation mode.THE PROBLEM
Why isolated AI tools are not enough
Business operations rarely live in one clean workflow. A customer message can affect a contact, opportunity, meeting, support obligation, invoice or campaign. When records and AI assistants are isolated, people spend time rebuilding context and reconciling conflicting answers.
Putting AI on top of fragmented data is not enough. The system must also show what source was used, which role proposed the work, what policy applies and who owns the next decision.
HOW ACTOVIAN APPROACHES IT
From a measurable goal to governed work
The system separates planning, specialist work, decisions and external execution so each stage remains inspectable.
- 01
Connect the operating context
Company, contact, inbox, sales, service, finance and campaign records form the context available to supported workflows.
- 02
Choose an accountable outcome
A company goal establishes the owner, measure, deadline, budget and human boundary for the work.
- 03
Coordinate specialist tasks
Agents research, qualify, prepare and analyze bounded tasks while the orchestrator tracks dependencies.
- 04
Route decisions to people
Policies and risk checks bring consequential proposals to the appropriate owner with the full context visible.
- 05
Keep the operating evidence
Records, decisions and provider receipts remain available for review instead of disappearing into an AI conversation.
CAPABILITIES
What the platform supports
Goal and task coordination
The orchestrator can convert a measurable company outcome into bounded tasks for specialist agents.
Unified decision queues
Operational items and approval-bound AI work are designed to surface the next decision instead of hiding it in separate tools.
Source-backed company answers
The command center can answer operational questions from the company context while preserving source attribution.
Governed connected actions
Google Workspace and Microsoft boundaries are identity-aware; consequential actions remain limited by permissions and approvals.
Operational evidence
Audit, usage, evaluation and provider records preserve how work moved from goal to result.
REALISTIC USE CASES
Where governed agents can help
Unified customer follow-up
Bring Gmail, Outlook and shared messages into one queue, relate them to customer records and keep the next decision visible.
Sales-to-service continuity
Connect account, contact, opportunity, proposal, meeting and customer-success records so later work can use the same accountable context.
Owner operating review
Review goals, KPIs, blockers, approvals, risk and source-backed company answers from the command center rather than reconciling separate AI outputs.
A USEFUL DISTINCTION
Actovian compared with a traditional operations system
a traditional operations system
- Stores records and enforces predefined transactions
- Often requires separate AI tools for research and drafting
- May show status without the agent decision path
The Actovian approach
- Coordinates agent work around a measurable operating goal
- Keeps the AI plan, policy decision and human approval connected
- Uses existing operational records as governed context rather than claiming to replace an ERP
CURRENT PRODUCT BOUNDARY
What Actovian deliberately does not do
Actovian is not an ERP, payroll platform or autonomous company. The public solution page explains supported operating records without exposing authenticated workspace data. Live features still depend on configured identity, billing, persistence and provider connections, and external actions fail closed when a required control is missing.
COMMON QUESTIONS
Clear answers for evaluation
What is AI for business operations?
It is the use of AI to prepare, coordinate or analyze recurring company work across functions. In Actovian, that work is tied to company context and passes through permissions, policies, approvals and evidence.
Does Actovian replace an ERP?
No. Actovian does not claim ERP functionality. It provides a governed operating workspace and agent runtime around supported business records and connected workflows.
Which operating areas are present in the product?
The current workspace includes a unified inbox, CRM and contacts, sales and proposals, customer support and success, finance and contracts, and marketing analytics.
When should a company use this approach?
It is most relevant when work crosses several records or roles, includes variable research or preparation, and still needs an owner to control budget, permissions and consequential actions.
PRACTICAL RESOURCES
Evaluate the operating model
AI for Business Operations: A Practical Evaluation Framework
Evaluate AI operations platforms by outcome ownership, context, controls, integrations, evidence, cost and safe failure.
AI Operating System vs ERP: Different Jobs
Understand how an AI operating layer coordinates governed work while an ERP remains the authoritative transaction system.
How to Connect Company Context to AI Agents Safely
Connect company knowledge to AI agents with tenant isolation, scoped retrieval, provenance, freshness and data minimization.
RUN THE COMPANY WITH AI. KEEP HUMANS IN CONTROL.
Start with one measurable goal and explicit boundaries.
Use the existing 14-day trial to configure a workspace, or inspect the synthetic demo before connecting any provider.