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.
Action proposed
A real IT action enters the workspace.
Grant contractor_184 read-only access to analytics-prod for 48h to investigate incident INC-4821.
LLM candidate action
The model proposes what to do.
BIGHUB keeps the original request visible while the LLM turns it into a concrete candidate action.
BIGHUB decision
BIGHUB improves the decision.
It uses context, similar cases, past outcomes, and risk to choose the best next step.
Execution plan
The action leaves with the right scope, timing, and conditions.
BIGHUB returns the executable plan and captures the decision data linked to what actually happened.
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.