AI Assistant
The front door for asking, clarifying, planning, and starting work with the right company context.
A useful conversation can become accountable work without losing the brief.
Boni Agentic Workspaces
Give AI a workspace. Give your team the controls.
Boni brings an AI Assistant, durable Remote Workspaces, Tasks, approvals, artifacts, and team steering into one operating layer—so work continues, stays visible, and ends with evidence.
One Agent Work spine
Four surfaces. One continuous piece of work.
Boni is not asking a company to stitch together chat, cloud runners, task software, file storage, and approval tools. The identity, permissions, context, work, and evidence belong to one company operating layer in Boni's cloud.
Boni Tasks
The objective, owner, due date, dependencies, acceptance criteria, and evidence live together.
The task is the control record—not a separate note beside the agent run.
Remote Workspace
A durable place for long-running work, tools, files, progress, and artifacts in Boni's cloud.
Assistant and Remote Workspace are two surfaces on the same Agent Work spine.
Team controls
Teammates add context, steer the work, hand it off, approve it, or stop it — from the task that owns it.
One task, one ordered history of every person and agent that touched the work.
From intent to evidence
A work loop your whole team can understand.
The agent does not disappear behind a spinner. The work moves through explicit states with accountable people and a useful finish.
01
Ask
Start naturally in the Assistant with the goal and the context you already have.
02
Make it a Task
Confirm the owner, scope, due date, dependencies, and what done must look like.
03
Run in a Workspace
The agent works with durable context and tools while progress remains observable.
04
Control together
The right people add facts, redirect the work, take over, or approve sensitive actions.
05
Close with evidence
Outputs, decisions, links, approvals, and the final result return to the Task.
The company cloud
One room for consequential work
1
Identity and permissions
The right people, agents, tools, and company context.
2
Task and workspace
The objective and the place where execution actually happens.
3
History and artifacts
Ordered progress, decisions, outputs, and evidence.
4
Control and recovery
Approval, pause, cancel, retry, and accountable handoff.
Cloud for the company
The easy cloud should grow into the company's operating system.
Small software should not need an enterprise cloud setup just to become useful. Boni's direction is broader: give a company one governed cloud for people, agents, Tasks, operational apps, and the work they produce.
Workspace identity and access
Tasks, Calendar, and operating context
Agent tools and long-running execution
Artifacts, approvals, and audit evidence
Humans stay in the loop
AI work gets better when the right humans can join it.
The important work is rarely personal and isolated. Experts contribute at the moment they are useful — adding the missing fact, redirecting the approach, approving the consequential step — without breaking continuity or losing who changed what.
Nothing consequential ships without a named approver.
Every run carries its objective, its owner, its evidence, and its gate. The agent proposes; the person your policy names decides.
Visible progress
See what is running, what changed, and what the agent needs next.
Durable artifacts
Keep the useful files, outputs, links, and decisions with the work.
Live steering
Add context or correct direction without restarting the whole job.
Pause and cancel
Stop spend or risk as soon as the work no longer makes sense.
Retry with history
Recover from failure without erasing the task, prior attempt, or evidence.
Approval gates
Keep consequential messages, changes, and commitments under human control.
Designed for real work
Not autonomous theatre. Useful team outcomes.
Repair a provider integration
An engineer starts the repair. Operations adds the live failure evidence. A reviewer checks the patch and release proof before closure.
One Task · one shared outcome
Prepare an operating review
The agent gathers source material, resolves missing context with owners, builds the review pack, and returns decisions as follow-up Tasks.
One Task · one shared outcome
Run customer onboarding
Sales, delivery, and support share one objective while the agent tracks inputs, drafts artifacts, surfaces blockers, and records acceptance.
One Task · one shared outcome
Clear context boundaries
Personal when it should be. Shared when it should be.
Shared work should not mean quietly exposing every Assistant conversation. Personal chat stays personal. Team work begins through an explicit move into an organization-owned Task and shared workspace.
Personal Assistant
Private exploration, clarification, drafts, and context.
Shared Task Workroom
Explicit scope, selected context, members, permissions, and a shared outcome.
Before sharing, show what will move, who will gain access, and which company record will own the work.
What you get
Four surfaces, provisioned to your workspace.
Your operating profile decides which models, tools, and actions each workspace can reach — so agent work stays inside the boundary your policy already sets.
Boni Assistant
Runs inside a personal or company workspace with that workspace's full context.
Tasks and Calendar
Structured work, ownership, deadlines, dependencies, and follow-through.
Remote Workspace
Durable workspaces where long-running agent work executes, with artifacts and approvals.
Controls and evidence
Steering, pause, cancel, retry with history, approval gates, and an auditable finish.
Questions
The useful details, upfront.
Is this just another business chatbot?+
No. The conversation is only the entry point. Boni connects the Assistant to accountable Tasks, durable workspaces, progress, artifacts, approvals, and an evidence-backed finish.
Does a personal Assistant conversation become visible to my whole company?+
No. Personal conversations stay personal. Shared work begins through an explicit move into a Task-owned workroom, with a preview of what context will be carried across.
Can teammates change a running agent job?+
Yes. Anyone with rights on the task can add context, correct the direction, take it over, or stop it while the work is still running — and every one of those moves is recorded against the task, so you always know who changed what.
Can Boni use different AI models and tools?+
Yes. Boni routes each job through the models and tools your workspace and operating profile allow, while keeping one task history and one control layer across all of them.
What happens before a high-impact action?+
The workflow can stop at an approval gate. The reviewer sees the proposed action and relevant evidence, then approves, edits, rejects, or redirects it before execution.
Start with one consequential workflow
Give the agent real work. Keep the team in command.
We will map the Task, workspace, tools, people, approval points, and evidence needed for one useful early-access workflow.