Planning Agents
Structure objectives into tasks, dependencies, acceptance criteria, and human decision points.
Give each initiative a scope, an owner, and a definition of done.
THE PLATFORM
One control plane.
Three pillars.
Five stages inside.
Connect business intent, engineering decisions and runtime evidence through one control plane: identity, MCP, agent registry, policy, evidence, audit and integrations.
Identity·MCP·Agent registry·Policy·Evidence·Audit·Integrations
THREE PILLARS OUTSIDE · FIVE STAGES INSIDE
Three pillars outside,
five stages inside.
The pillars are how the platform is packaged and bought. The stages are the lifecycle the records move through. Every product belongs to one pillar and works from the same records, permissions and evidence.
| Pillar | What it does | Products | Stages | Status |
|---|---|---|---|---|
| BUILD | Design, discover and deliver governed agents | Live | ||
| GOVERN | Control identity, authority, risk and evidence | Live | ||
| OPERATE | Observe, evaluate and safely interact with production agents | Live |
Six products are live: Blueprint, Catalog, Build, Compliance, Control Tower and Chat (for platform users). Runtime signals, risk posture and traffic control in Control Tower are designed. Today, operate evidence is the deployment record, the Control Tower run ledger and a link to runtime observability.
01 / Define intent
Make the objective executable.
Turn a business request into a delivery plan with explicit requirements, ownership, evidence needs, and cost assumptions.
A reviewable plan before the first tool call.
Requirements & regulatory context
Connect requirements to design records, review evidence, and the regulations and controls that apply to each asset, with a named approver on every posture.
Generated change controls and maintenance SOPs are roadmap; today the platform keeps the traceable records and cited context they will draw on.
Financial modeling
Model the cost of inference, tools, retrieval, retries, and human review across workload scenarios.
Separate operating assumptions from observed cost.
Connected evidenceWorkflow briefRequirements registerCost assumptions
02 / Design the agent system
Design the whole agent, not just the prompt.
Specify behavior, context, retained information, and the harness that connects the system.
A design with explicit boundaries and dependable context.
Design specifications
Describe intended behavior, interfaces, dependencies, data flows, and acceptance criteria.
Keep implementation choices connected to their requirements.
Harness design
Define model invocation, tool routing, state transitions, stop conditions, and intervention points.
Make the execution environment part of the agent specification.
Knowledge management
Establish source ownership, provenance, retrieval scope, freshness expectations, and access rules.
Give agents context whose origin and permitted use can be inspected.
Memory management
Define what persists between steps or sessions, who can access it, and when it must expire.
Treat memory as a governed resource with a deliberate lifecycle.
Connected evidenceDesign specificationContext & memory policyHarness contract
03 / Connect and execute
Put tools and skills to work, deliberately.
Bring integrations and reusable capabilities into workflows, and let the Coding Expert build from the approved specification, with clear behavior when execution waits, retries, or fails.
An orchestrated workflow with a recovery plan, and a pull request built from the specification.
Coding Expert
Turn an approved specification into a branch, tests and a pull request from one isolated session in the platform account. Your reviewers merge; the Coding Expert never merges.
The first platform base agent. Jira is optional (spec-only run).
Integrated MCP tools
Organize Model Context Protocol tools by capability, ownership, required scopes, and permitted use.
Connect tool discovery with the controls that authorize execution.
Skills management
Version reusable instructions and procedures, with dependencies, owners, and evaluation expectations.
Know which skill revision a workflow used and why.
Workflow orchestration
Coordinate agent tasks, tool calls, human approvals, and handoffs through explicit execution stages.
Make branches, waits, and completion conditions visible.
Durability
Specify checkpoints, retries, idempotency, and resumption behavior for long-running work.
Plan for interruption without silently repeating consequential actions.
Connected evidenceCoding run recordTool & skill inventoryWorkflow definitionRecovery rules
04 / Protect and govern
Make authority explicit at every boundary.
Establish access limits, assess threats, and connect governance decisions to the work they permit.
Clear authority, reviewable risk, accountable decisions.
Auth controls
Define human, agent, and tool identities with scoped permissions and review requirements.
Keep authentication, authorization, and approval decisions distinct.
Threat modeling
Assess untrusted inputs, tool misuse, sensitive data exposure, memory contamination, and recovery abuse.
Link each material threat to a control, owner, and verification method.
Security posture
Review tool exposure, access scope, context handling, dependencies, and unresolved findings together.
Understand security decisions in the context of the actual workflow.
Regulatory knowledge & posture
Keep a registry of regulations, guidance, standards and frameworks, and propose which instruments apply to each agent, skill and MCP server, with citations.
A posture stays proposed until a named person approves it; the platform records the mapping, not a legal determination.
Governance
Assign decision owners, policy gates, evidence requirements, exception conditions, and review dates.
Carry governance from intent through release and ongoing change.
Connected evidenceAccess policyThreat registerDecision & exception log
05 / Evaluate and operate
Turn runtime evidence into the next improvement.
Assess behavior, inspect execution, and feed operational and security findings back into the lifecycle.
Observed behavior that informs accountable improvement.
Evaluation of agents
Version test cases and criteria for task quality, tool use, boundary behavior, and failure recovery.
Connect a release decision to reproducible evidence and explicit exceptions.
Observability
Follow traces, logs, metrics, tool activity, latency, and resource use through OpenTelemetry-aligned instrumentation.
Inspect the path from user intent to the actions that actually ran.
SecOps at runtime
Triage suspicious behavior, assess affected permissions, route incidents, and record containment decisions.
Translate production findings into threat-model updates and regression cases.
Connected evidenceEvaluation reportExecution tracesIncident & improvement records
EVERY RUNTIME, READ-ONLY
Your runtimes stay yours.
The control model is the same.
Runtimes are connected as read-only inventory; nothing runs there. The platform records what is deployed, by whom and with which evidence.
Available today
Amazon Bedrock AgentCore
Read-only inventory of agents, runtimes, gateways, MCP tools, memory and policy engines; deployments recorded with their evidence.
Next
Azure AI Foundry
The same read-only sync and deployment records for agents hosted in Azure.
Designed for
Heterogeneous agent estates
Frameworks, clouds, MCP ecosystems: one control model, runtime-agnostic.
How you buy itAWS MarketplaceRoadmap Subscribe and buy through AWS Marketplace with your existing AWS agreement; annual contracts and private offers. Roadmap.
START READ-ONLY
Start with a 14-day
estate assessment.
Grant a read-only role, see your whole agent estate, and decide the first bounded workflow with evidence in hand. Nothing runs in your accounts.