BotDojo gives teams frontier intelligence at a fraction of the cost, with enterprise permissions, budgets, approvals, monitoring, zero data retention options, and flexible hosting.
Route work across frontier and open-source models while tracking spend, users, artifacts, budgets, and limits.
MonitorSet integration controls, apply approval policy, and keep security posture attached to every agent run.
CRM records, accounts, opportunities, contacts, and renewal notes.
Find accounts by owner, region, segment, renewal date, or health status.
Prepare opportunity updates for stage, next step, and close date fields.
Export contact records outside the workspace.
Set integration access centrally, require approval for sensitive actions, and keep security posture attached to every workspace run.
Low-risk reads, searches, drafts, and summaries can run without interruption.
Sensitive sends, updates, exports, payments, and production actions require human review.
High-risk tools, data sources, and actions stay blocked until policy changes.
Tie tool use to the agent, workspace, user, and approved account context.
Preserve who approved what, when the agent asked, and which action changed.
Review tool calls, source reads, generated artifacts, and human decisions.
Use deployment and retention options that match the workflow risk.
Connect the tools your teams already use so agents can work with approved records, conversations, files, APIs, and model providers.
Goals, files, context, connections, approvals, schedules, artifacts, and history stay attached to the task so teams can review, resume, and repeat the workflow.
Keep the goal, files, notes, decisions, and agent progress attached to the work instead of a single chat thread.
Attach source material, generate drafts, revise artifacts, and keep the final output where the task was completed.
Pause before sensitive sends, updates, exports, payments, or production changes so people stay in control.
Let agents read approved systems and act through governed tools without opening broad access to every workflow.
Turn proven task patterns into reusable workspace routines instead of rebuilding instructions every time.
Run recurring work with the same context, connections, policies, and reporting structure.
Tasks can span research, system reads, draft creation, human approval, final action, and saved output.
Research an account, enrich a CRM record, draft a follow-up, and ask before sending.
Review invoices, reconcile exceptions, prepare a summary, and save the artifact for finance review.
Monitor a queue, triage new items, update the source system, and escalate edge cases to a human.
The monitor surface is built for teams that want AI work to scale with measurable output, clear spend controls, and evaluated model choices that can be tuned as work changes.
Track spend, average daily usage, forecasted month-end cost, and budget thresholds before teams exceed limits.
Review model changes, optimized skill suggestions, and budget actions before applying them to live work.
Use frontier models where judgment matters and optimized open-source models where the work is repeatable and measurable.
See who is driving usage and set limits by user or team without disconnecting the work from accountability.
Measure generated files, reports, drafts, and outputs alongside spend so usage is tied to business output.
Flag sudden spend, token, or model changes so operators can tune budgets, limits, and routing quickly.
Set Budget, Control Limits by User or Team, and Customize Model Usage work together so spend policy, permissions, and frontier or open-source model choices stay visible while agents run.
The control surface is built for operators who need AI work to expand while every connected-system action keeps its approval policy, audit trail, and security context intact.
Review connected systems, inspect tool-level permissions, and decide which actions can run automatically.
Apply policy by tool action so sensitive writes, exports, deletes, and sends can require approval.
Keep each run tied to the workspace, operator, connected system, and approval policy behind the action.
Capture approval decisions so teams can understand what ran, what paused, and what was blocked.
Give admins a clear record of tool calls, permission decisions, and connected-system activity.
Preserve governance around connected tools without exposing one broad shared credential to every workflow.
Workspace connections make conversations, business systems, and documentation usable inside agent work without opening broad application access.
Calls, chat, SMS, email, Slack, Teams, and support transcripts tied to the workflow.
CRM records, tickets, internal tools, warehouses, and operational systems where work actually happens.
Docs, SOPs, PDFs, knowledge bases, wiki content, and internal reference material.
The first gains come from workflows where teams spend too much time chasing records, docs, tickets, transcripts, and approvals across disconnected systems.
Support workflows start with the same product notes, ticket history, and conversation patterns across channels.
Cross-system research becomes a usable summary tied to the systems, records, and source material behind it.
Agents can read approved systems and prepare updates while sensitive writes, sends, exports, and deletes stay controlled.
Shallow, stale, or overexposed context breaks agent work fast. Connections keep the context layer reliable with scoped ingestion, search, permissions, and refresh controls.
Bring in only the conversations, records, and documents tied to the job at hand.
Combine semantic search, filters, and structured metadata so answers stay grounded.
Respect team, record, and system boundaries instead of exposing one giant shared index.
Keep doc, ticket, and system changes flowing into the context layer.
Start with core business systems, then add files, knowledge bases, warehouses, communication tools, private APIs, and project tools as workflows expand.
Tell us what you want agents to run, which tools they need, and whether you prefer BotDojo Cloud or on-prem hosting.