Control
Set the agent's authority. Supported actions can be allowed automatically, paused for human approval, or denied.
CONTROL + VERIFICATION FOR AI AGENTS
Give AI more autonomy without giving up control.
IndeBase controls what AI agents are allowed to do and independently verifies what actually happened. That lets companies safely delegate more work to AI without giving agents unlimited authority.
Validated AI connections: ChatGPT + Claude · Current validated business system: HubSpot
THE PROBLEM
AI can do real work. But AI can also make mistakes.
AI agents can misunderstand instructions, make the wrong decision, act outside the intended scope, or say a task is complete when the real-world result is not there.
That means companies still need human supervision for consequential work. The more autonomy an agent gets, the more important it becomes to control what it may do and verify what actually happened.
WHAT INDEBASE DOES
Control what the AI is allowed to do. Verify what actually happened.
CONTROL + VERIFICATION is the deep-and-narrow part of IndeBase.
Verification
After an action runs, IndeBase can check the business system separately instead of simply trusting the AI's claim that it worked.
The result is simple: AI can do more autonomous work because IndeBase controls and verifies what the AI agent is doing.
HOW IT WORKS
Set the rules once. Then keep using your AI normally.
Connect IndeBase to a supported AI and the business system the AI needs to use. Then choose how much authority the AI gets.
- 01
Connect
Connect IndeBase to ChatGPT or Claude and to the supported business system.
- 02
Choose authority
Decide what the AI may do automatically, what needs your approval, and what is not allowed.
- 03
Use AI normally
Go back to the AI interface and continue prompting normally. After the supported connection is set up, you do not need to re-add IndeBase before every prompt.
- 04
IndeBase checks the action
When the AI wants to take a supported real-world action, IndeBase checks the current authority before anything happens.
- 05
Allow, approve, or deny
The action either runs, pauses for human approval, or is blocked.
- 06
Verify and record
IndeBase independently checks the result when verification is supported, then records the evidence and final outcome in the Control Center.
WHAT THIS GIVES YOU
More autonomous AI work without supervising every step.
CONTROL + VERIFICATION create practical operating benefits. You get the operating result without having to understand the technical machinery underneath.
Keeps AI work on track over time
IndeBase keeps track of what is pending, approved, denied, failed, verified, and complete so long-running work does not depend on the AI remembering everything from a chat.
Gives AI room to work
The AI can plan and adapt inside the authority you set. IndeBase controls the boundaries and consequences instead of scripting every reasoning step.
Stops actions that are not allowed
Supported actions can run automatically, pause for your approval, or be blocked according to the workspace's current authority.
Requires proof before completion
For supported workflows, IndeBase checks the real business-system result and records evidence before the outcome is treated as verified.
Contains failures and uncertainty
Denied, failed, stale, or uncertain work stays visible instead of silently being treated as success.
Supports controlled recovery
Failed or interrupted work can remain contained while it is retried, remediated, escalated, or checked again inside defined boundaries.
Lets people supervise by exception
Routine supported work can run automatically when allowed. People step in when the configured authority requires a decision.
Keeps a clear operational record
The Control Center shows what the AI attempted, what authority applied, what executed, what evidence was found, and the final state.
Uses one control model across AI systems
The same IndeBase control-and-verification approach has been validated in production with ChatGPT and Claude.
CONTROL CENTER
Choose how much autonomy the AI gets.
The Control Center is where you connect systems, set the AI's authority, approve or deny requests, and review what happened.
Observe / analyze
No external writes. The AI can read and analyze supported information, but it cannot perform governed external writes.
Draft only
Prepare, but do not execute. The AI can prepare work, but it cannot carry out governed external writes.
Execute low-risk, reversible actions
Most autonomous mode. This is the setting for supported low-risk, reversible actions to run automatically. Some current workflows still require human approval.
Require approval for consequential actions
Human approval. Consequential supported actions pause until a person approves or denies them.
When the AI attempts an action, IndeBase checks the current authority:
Allowed: the action can execute, IndeBase verifies the supported result, and the evidence appears in the Control Center.
Approval required: execution pauses until a human approves or denies it.
Not authorized: IndeBase blocks the action and records what happened.
Afterward, the Control Center shows the governed action, approval state, execution result, verification result, evidence, and final completion or failure state.
WHAT YOU CAN ANSWER
Know what the AI was allowed to do and what really happened.
Was the agent allowed to do this?
IndeBase records the authority that applied when the action was requested.
Did the action actually happen?
Execution is recorded instead of relying on the AI's memory of the task.
Did the intended result occur?
IndeBase can check the connected business system for the expected real-world state.
Was it independently verified?
A separate verification step can confirm the outcome after execution.
What evidence proves it?
The Control Center keeps the supporting evidence and final result.
Did the agent try something it was not allowed to do?
Denied and abnormal states are contained and recorded instead of disappearing into a chat transcript.
UNDER THE HOOD
One continuous control-and-verification system.
These are the technical names behind the plain-English outcomes above. The implementation details stay underneath; the customer sees the operating result.
Persistent operational state
Plain English: keeps AI work on track over time. IndeBase remembers where governed work stands: pending, approved, denied, executing, failed, verified, completed, and more.
Bounded authority
Plain English: limits what the AI may do. The AI can act only inside the authority the workspace gives it.
Governed execution
Plain English: consequential actions pass through control. Supported real-world actions go through IndeBase instead of happening simply because the AI decided to act.
Evidence
Plain English: keeps proof of what happened. IndeBase records what was requested, what executed, and what was observed afterward.
Independent verification
Plain English: checks the AI instead of trusting its claim. A check separate from the acting AI verifies the supported outcome.
Bounded failure handling
Plain English: contains problems instead of hiding them. Failures, retries, stale authority, denials, and other abnormal states remain visible and controlled.
WHERE INDEBASE FITS
IndeBase is one layer in a broader AI control stack.
Companies may use other products for identity, security, data protection, monitoring, model governance, compliance, or orchestration. IndeBase does not try to replace all of them.
IndeBase focuses deeply on operational control + verification: what an AI agent is allowed to do, what actually happened after it acted, and what evidence supports the final outcome.
CURRENT VALIDATION
The same control loop has been validated with ChatGPT and Claude.
ChatGPT and Claude have each operated through the same IndeBase control layer with HubSpot as the current validated business system.
In the Claude production test, a HubSpot action stopped at the human-approval gate, executed only after approval, and was then checked separately by IndeBase. The final result and evidence were recorded with a PASS verdict.
This proves the tested control-and-verification architecture is not tied to one AI interface. It is not a claim of universal compatibility with every model, system, or action type.
PRICING
One workspace. One price.
IndeBase
$199/ month
per workspace
- 14-day free trial — no credit card required
- Control what supported AI agents are allowed to do
- Human approval when the configured authority requires it
- Independent outcome verification for supported workflows
- Keeps governed AI work on track over time
- Evidence and governed action history in the Control Center
- Production validation across ChatGPT and Claude with HubSpot
Monthly subscription. Taxes may apply. Cancel anytime; paid access continues through the current billing period after cancellation.
PAID PILOT
Start with one real workflow that can be checked.
A pilot should answer a simple question: can the AI do useful work inside a defined authority boundary, and can IndeBase independently prove the result?
Choose the workflow
Pick a repeatable task in a supported business system.
Set the authority
Decide what can run automatically, what needs approval, and what should be blocked.
Run and verify
Let the AI work through IndeBase, then review the evidence, verification result, failures, and required human intervention.
QUESTIONS
The simple version.
What does IndeBase do?
IndeBase controls what supported AI agents are allowed to do and independently verifies what actually happened after they act.
What can I connect today?
ChatGPT and Claude have each been validated in production with the same IndeBase control layer. HubSpot is the current validated business system. Other integrations should not be treated as generally available until they are separately implemented and validated.
Do I need to select IndeBase before every prompt?
No. After the supported AI connection is set up, keep working from ChatGPT or Claude normally. IndeBase is available for supported governed actions without re-adding it before every prompt.
What happens when the AI wants to take an action?
IndeBase checks the current authority. The action is either allowed, paused for human approval, or denied. If it executes, IndeBase can independently check the supported result and record the evidence.
Where do approvals happen?
When approval is required, the action pauses. The user can approve or deny the pending action from the IndeBase Control Center.
Does IndeBase control every action an AI takes?
No. IndeBase controls supported actions that are routed through its governed execution path. Work performed outside that path is outside IndeBase's control.
Does IndeBase replace my other AI governance or security products?
No. IndeBase is designed to fit into a broader control stack. Its deep focus is operational control and independent verification.
How does IndeBase keep AI work on track over time?
IndeBase keeps a persistent operational record of governed work — what is pending, approved, denied, failed, verified, and complete — so the state of the work does not depend only on the AI remembering a chat.
How much does IndeBase cost?
Self-service IndeBase is $199 per month per workspace after a 14-day free trial with no credit card required. Paid pilots and larger deployments are scoped separately.