Decision workspace
Every action starts as a decision.
Describe the action. BIGHUB structures what the agent is about to do before execution.
GPT-5.5: 41% → 73% good decisions
Same model. Better decisions.
An agentic IDE for high-risk enterprise actions, starting with IT. BIGHUB helps AI agents choose better actions before they act.
For teams building agents that take real actions.
New request
Describe the action. BIGHUB helps the agent choose what to do before it acts.
Model + BIGHUB level
Same model. More judgment.
Pick the LLM and the BIGHUB level. The stronger the action, the more decision context BIGHUB adds.
Before execution
Only then does the agent act.
The agent moves after BIGHUB chooses the best next step: what to do, when to do it, and with what risks.
New request
The same request enters the dashboard.
Grant contractor_184 read-only access to analytics-prod for 48h to investigate incident INC-4821.
Model thought
The model reasons.
It can explain what might happen, but it does not know what actually worked before.
BIGHUB decision
BIGHUB gives it operator context.
Before high-risk IT actions, BIGHUB gives the model what operators rely on: what worked, what failed, and which signals are reliable.
Outcome loop
Every outcome becomes evidence.
BIGHUB records what happened after each action, so future decisions start from real consequences, not just raw reasoning.
Activity
Track every agent action in one place.
Activity is the live queue for agent actions. See what agents want to do, where the request came from, its risk, status, and outcome.
Reviews
Escalate only the decisions that need humans.
Reviews shows the actions BIGHUB does not want to run blindly. Humans approve, deny, or adjust only the decisions that need judgment.
Systems
Connect the tools your agents act on.
Connect Okta, Slack, GitHub, cloud, and internal tools. BIGHUB uses those systems to understand actions, execute them, and capture what actually happened.