Visibility for managers and auditors
See what was done, when, and why. Track work in progress and review outcomes with a clear, consistent record.
Stacksona
AI execution governance for regulated teams
Stacksona is the runtime enforcement layer between your AI models and production systems. Enforce policy, require approvals for sensitive actions, audit every decision, and isolate AI operations inside deterministic execution environments.
Built for decision-critical workflows, Stacksona provides control guarantees: policy gating, isolation boundaries, and replayable execution history.
Each governed execution environment is isolated to prevent cross-contamination. Deploy with dedicated infrastructure per enterprise when required.
Policy-defined execution states (ACTIVE / MUTED / SLEEPING) and approval gates prevent unauthorized agent actions. RBAC and MFA support least-privilege control.
Export deterministic audit history for internal audit, incident response, and third-party review.
A few common starting points for teams introducing AI into high-stakes, reviewable work.
Structured research, evidence packs, and reviewable summaries that stay auditable end-to-end.
Repeatable vendor reviews with approval gates, exports, and rollback-friendly changes.
Ongoing oversight with timelines, logged actions, and policy-based automation you can trust.
Define enforcement depth. Keep deterministic oversight for decision-critical work.
Use human approvals and policy gates where risk is real, and let low-risk workflows run with more autonomy.
Every action is logged. Replay what happened, understand why it happened, and keep the evidence trail your business needs.
Return to any prior state without guesswork. Inspect changes over time and recover fast when an agent makes a bad call.
Define how agents should operate once, then apply it across a workspace or a single task. Versioned, reviewable, and designed for high-stakes teams.
Attach policies to the entire workspace or override them per task. Keep low-risk work fast while tightening controls where risk is real.
Maintain SOPs with change history, clear ownership, and rollback to prior versions. Agents always reference the active version during execution.
Policies and SOPs are evaluated as the agent works, not after. When a step requires approval or a constraint is violated, Stacksona gates the action and records why.
Aligned for everyone
A single governed workspace where people do the work, security sets the rules, and leadership sees outcomes.
Work moves forward without friction.
Assistants handle the prep. People make the calls.
Nothing happens unseen.
Approvals and visibility are built in, not bolted on.
Output rises. Risk does not.
Scale what works, with oversight intact.
Assign work to an agent the same way you would a teammate. The agent executes one-time tasks or repeatable routines, and asks for approval when it needs access, context, or permission to act.
Assistants operate inside isolated workspaces with human review gates, activity logging, and clear boundaries. Work is visible. Sensitive actions can require review. Nothing runs out of sight.
When preparation work is handled by assistants, employees spend more time on decisions and less on busywork. That increases throughput without increasing workload.
Stacksona is the assistant workspace layer that employees adopt naturally, security can endorse, and management can measure.
See what was done, when, and why. Track work in progress and review outcomes with a clear, consistent record.
Three-state delegation (ACTIVE, MUTED, SLEEPING), plus approval gates for sensitive actions. You stay in charge.
Agents work inside isolated workspaces with controlled lifecycle and durable audit history, designed to prevent cross-system compromise.
Scrub through sessions like a video. Reconstruct state from deltas. Roll back precisely when needed.
Stacksona is being designed with teams who need practical AI adoption with oversight, policy control, and reviewable history.
Use cases where assistants must be helpful to employees without creating security or governance debt.
A workflow where external actions require , and every outcome is recorded for audit and review.
We can share a reference architecture for security review and a policy-first rollout plan.
A governed runtime built for AI agents and human operators, without the overhead of virtual machines or brittle browser automation. State changes are explicit, reviewable, and reproducible.
Every action produces a predictable delta you can inspect, replay, and roll back.
Audit history, approvals, and outcomes are first-class. Nothing happens off the record.
Files, tools, and routines live inside the workspace, so agents can execute reliably and safely.
Seven apps cover the oversight and execution leaders care about most. There are 8 more system apps included in every workspace.
Set run states, approvals, and permissions. Gate sensitive actions and keep autonomy aligned to risk.
Reviewable history of actions, tool calls, and decisions. Built for audit, playback, and incident review.
Turn work into repeatable routines. Track execution state across people and agents with clear ownership.
Controlled research and verification aligned to workspace logging. Keep evidence attached to decisions.
Work with Microsoft 365 documents and data in governed flows while keeping actions reviewable and policy aligned.
All inputs, artifacts, exports, and evidence packs live in one deterministic workspace tree.
Draft, triage, and send governed communications with context from workflows and approvals kept in the audit trail.
Included by default: notes, routines, contacts, utilities, and additional execution tools that round out the workspace.
Stacksona records meaningful assistant actions as structured events. See what was done, when, and why, and return to a known good state if needed.
Workflow briefs for teams introducing AI into decision-critical, reviewable work.
Evidence-backed research, approvals, and replayable history for institutional decision-making.
Approvals, audit trails, and exports for repeatable vendor reviews.
Governed ongoing analysis with policies and rollback-friendly execution.
Models are getting more capable. The problem is control, visibility, and safety in real workflows. Stacksona is the governance layer between powerful AI and business operations.
Stacksona is built for teams that want AI agent leverage without giving up control. It is a governed workspace where agent actions are observable, reviewable, and reversible.
Bring your own model provider, configure the policy gates you want, and keep a durable history you can audit and replay. When something goes wrong, roll back to a known-good state and move forward with confidence.
Dial autonomy up or down per workflow.
Every action and state change is recorded for review.
Fast on safe steps. Paused where it matters.
We’ll help you map a governed workflow and stand up an isolated pilot environment.
Schedule an architecture discussion for a guided governance review and pilot planning.