Grounded
Works from what the organization knows now—not a static prompt written last quarter.
Workforce | Create, Deploy, Run Agents
Deploy grounded, governed agents.
Building AI agents does not have to be hard. Workforce enables anyone on your team to experiment with and deploy knowledge grounded agents in a governed environment that is fully auditable for continuous improvement. You can start deploying agents now, not after months of agent infrastructure building.
The difference
An agent is not a chatbot with permissions.
It is task-specific organizational machinery: grounded on Corvus, constrained by policy, activated by an approved trigger, and observable from request through result.
Bounded
Uses only the tools, knowledge, budgets, and actions explicitly made available.
Activated
Wakes on schedule, on demand, through MCP or API, or from another approved Worker.
Auditable
Leaves evidence of what ran, what it used, what it did, what it cost, and where the result went.
Conversation is the interface
Describe the work. Corveil assembles the Worker.
Connect the AI client—ChatGPT, Claude Cowork/Code, Codex, Antigravity—your team already uses to Corveil’s MCP gateway. Ask for a Worker in plain language. Your AI client can inspect the available sources, triggers, channels, and controls, then prepare the configuration for approval.
You “Every weekday, check production logs for bugs from releases and logs. File only actionable tickets, with evidence, and notify the engineering team.”
Source
Prompt library + current Corvus context
Trigger
Weekdays at 07:30
Channel
GitHub issue + Slack notice
Ready for approval. The Worker is grounded, permission-scoped, capped, and traceable before its first run.
Source × Trigger × Channel
Three configurations, limitless uses.
A worker that gathers and consolidates data, another worker consumes and acts on it. Limitless combinations as you progressively build your agentic superstructure.
01 / Source
Where understanding comes from.
The organization's owned prompt library is synthesized against Corvus at run time.
Versioned, team-owned prompts
Current organizational knowledge
Relevant context with provenance
02 / Trigger
When work begins.
Run on a cadence, on demand, or when another governed system invokes it.
Scheduled
Manual, API, and MCP
Extensible events, webhooks, thresholds
03 / Channel
Where the result goes.
Deliver the work to the place—or person—that can use it next.
Slack, email, GitHub, webhook
Tasks and Corveil insights
Handoff to the next approved Worker
From Workers to an agentic superstructure
The first Worker automates a task. What emerges can reorganize how work gets done.
Deploy, observe, decompose, and recombine. As useful patterns prove themselves, Workers form chains, feedback loops, specialist teams, and cross-functional networks—each grounded in Corvus and governed as one system.
01
Worker
One bounded, recurring job that is easy to understand, observe, and improve.
02
Chain
Specialized Workers hand work off across a visible, traceable sequence.
03
Adaptive network
Evaluators, triggers, and outcomes route work into the next relevant flow.
04
Operating superstructure
Layered networks coordinate complex work across functions—with people in the loop or full autonomy where the work warrants it.
The destination is not a larger bot fleet. It is proprietary organizational machinery that becomes more capable as you evolve your use of it.
One pattern, many departments
Start with work people already understand.
01
Marketing
Monitor campaign performance, investigate movement, calibrate proposed campaign spend, route it to the channel lead for approval, on approval, execute changes.
02
Engineering & Operations
Detect a bug, assemble evidence, file the issue, prepare a fix candidate, and route it through the existing delivery process.
03
Finance
Reconcile client records, contracts and work done, consolidate invoicing targets with data, send invoicing list to controller for approval, upon approval, trigger invoice sends. Isolate discrepancies, escalate to controller.
Bounded by construction
The enterprise can let it act because control is architectural.
Governance is not an observation layer added after autonomy. It determines what knowledge and tools exist for the Worker in the first place.
Allow-listed writes
Off-list tools are not merely refused. They were never offered.
Enforced dry run
Safe mode is enforced where the work executes, not where it is requested.
Tenant isolation
Organization boundaries are checked again at the point of use.
Capped and costed
Iterations, rates, budgets, and model calls remain bounded and visible.
One governed gateway
Knowledge, agents, policy, spend, and audit share the same routed plane.
Human gates
Consequential actions can require explicit review and approval before execution.
The loop closes
Every run strengthens the system beneath the next one.
Worker output returns to Corvus as memory. Builder can study and improve a chain, simplify a handoff, or create a missing tool. The next person or Worker agent begins from stronger ground.
Corvus
Current knowledge grounds the run.
Workforce
Workers reason, route, act, and hand off.
Result
Evidence and outcomes return to shared memory.
Builder
Missing capability is created only when needed.
Start narrow. Compound.
Begin with one Worker you can understand, bound, and prove.
Then let every successful run show what to connect, decompose, and build next.